RSS-Feed abonnieren
![](/products/assets/desktop/img/oa-logo.png)
DOI: 10.1055/a-1883-0861
New Behavioral Signs of Consciousness in Patients with Severe Brain Injuries
Abstract
Diagnostic and prognostic assessment of patients with disorders of consciousness (DoC) presents ethical and clinical implications as they may affect the course of medical treatment and the decision to withdraw life-sustaining therapy. There has been increasing research in this field to lower misdiagnosis rates by developing standardized and consensual tools to detect consciousness. In this article, we summarize recent evidence regarding behavioral signs that are not yet included in the current clinical guidelines but could detect consciousness. The new potential behavioral signs of consciousness described here are as follows: resistance to eye opening, spontaneous eye blink rate, auditory localization, habituation of auditory startle reflex, olfactory sniffing, efficacy of swallowing/oral feeding, leg crossing, facial expressions to noxious stimulation, and subtle motor behaviors. All of these signs show promising results in discriminating patients' level of consciousness. Multimodal studies with large sample sizes in different centers are needed to further evaluate whether these behaviors reliably indicate the presence of consciousness. Future translation of these research findings into clinical practice has potential to improve the accuracy of diagnosis and prognostication for patients with DoC.
#
Keywords
disorders of consciousness - behavioral assessment - signs of consciousness - postcomatose stateAdvances in medical knowledge and technologies have made it possible for many patients who had traumatic or nontraumatic severe brain injuries to survive, and, consequently, transition into or remain in what are now referred to as disorders of consciousness (DoC). Over one million people are affected by DoC each year worldwide.[1] [2] Among DoC patients, withdrawal of life-sustaining therapy is a frequent cause of death.[3] [4] [5] [6] However, the lack of knowledge about patients' consciousness level and their potential for long-term recovery remains a challenge throughout this decision-making process. Thus, correct diagnosis and outcome prediction of this vulnerable patient population have tremendous clinical and ethical implications for patients, their caregivers, and clinicians.
DoC are categorized on a spectrum of diagnostic entities, ranging from the most severe state, coma, to vegetative state/unresponsive wakefulness syndrome (VS/UWS), minimally conscious state minus (MCS − ), minimally conscious state plus (MCS + ), and emergence from MCS (eMCS). The acute period of DoC is defined as the first 28 days after the brain injury, and subacute-to-chronic (or “prolonged” DoC) as longer than 28 days.[7] Coma is defined as the complete absence of arousal and awareness.[8] VS/UWS is defined as preserved arousal (eye opening spontaneously or upon stimulation) without awareness, the patient showing only reflexive behaviors.[9] [10] [11] MCS is defined as minimal, reproducible but inconsistent behavioral signs of awareness.[12] MCS− patients show nonreflex movements such as localization of noxious stimuli, visual pursuit or fixation, localization of objects, and movement or affective behaviors in a contextual manner to relevant environmental stimuli. MCS+ patients display behaviors related to language expression and comprehension, including command-following, intelligible verbalization, and intentional communication.[13] When patients demonstrate functional object use or functional communication, they are considered eMCS.[12] Cognitive motor dissociation (CMD),[14] functional locked-in syndrome,[13] MCS*,[15] [16] and covert cognition[17] are terms suggested by different research teams to define behaviorally unresponsive patients who show brain activity compatible with (minimal) consciousness detected by functional magnetic resonance imaging (fMRI), electroencephalography (EEG), or positron emission tomography (PET). CMD is specifically used for patients who show no (VS/UWS) or little (MCS − ) behavioral evidence of consciousness at the bedside but have cortical responses related to language processing in fMRI or EEG active paradigms.[14] MCS* encompasses VS/UWS patients with CMD as well as VS/UWS patients who have residual brain activation in neuroimaging compatible with diagnosis of MCS even in the absence of active paradigms.[15] [16]
Accurate diagnosis of DoC patients is highly challenging. Indeed, over one-third of DoC patients previously diagnosed with VS/UWS by clinical consensus (based on behavioral observations and clinical experience) had evidence of consciousness when they were later evaluated based on standardized behavioral assessments using the Coma Recovery Scale-Revised (CRS-R).[18] [19] [20] However, it is important to note that, if performed only once, standardized behavioral assessment with the CRS-R can also lead to a 35% rate of misdiagnosis (compared with five CRS-R assessments).[21] Thus, repeated assessment (at least five times in a short period, e.g., 10 days) is of critical importance. The high misdiagnosis rates in DoC patients may be related to the lack of a proper gold standard to assess the presence of consciousness, and the need to integrate neuroimaging and new potential behavioral signs of consciousness into diagnostic guidelines. All these warrant the urgent need for improvement in diagnostic methods.
Currently available standardized behavioral scales to assess patients with DoC include, among others, the Glasgow Coma Scale (GCS),[8] the Full Outline of UnResponsiveness,[22] the Simplified Evaluation of CONsciousness Disorders (SECONDs),[23] [24] and the CRS-R.[25] The American Congress of Rehabilitation Medicine Task Force and European Academy of Neurology recommends the use of repeated CRS-R in the assessment of patients with subacute-to-chronic DoC.[26] [27]
The CRS-R consists of 23 items composed of six subscales assessing auditory, visual, motor, oromotor/verbal functions, communication, and arousal. Among these items, 11 indicate an MCS diagnosis (six for MCS− and five for MCS + ). From these items, visual pursuit, reproducible command-following, and automatic motor response (e.g., nose scratching, grasping bedrail, grabbing tubes) were found to be the first three most common signs of MCS to reemerge after brain injury.[28] The five most frequently observed items detecting 99% of chronic MCS patients were visual fixation, visual pursuit, reproducible movement to command, automatic motor response, and localization to noxious stimulation.[29] When transitioning into MCS, chronic VS/UWS patients were found to show mostly only one behavioral sign (73%): visual fixation, visual pursuit, localization to noxious stimulation, reproducible movement to command, or functional communication.[30] Similarly, chronic MCS patients were also found to show mostly only one behavioral sign (64%) while transitioning into eMCS, either functional communication or functional object use[30] ([Fig. 1]).
![](https://www.thieme-connect.de/media/sin/202203/thumbnails/10-1055-a-1883-0861-i220015-1.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
In addition to the already available items that denote MCS in the CRS-R, recent studies suggest that other behaviors may be considered as signs of consciousness in DoC patients. The objective of this article is to summarize and review these new behavioral findings: resistance to eye opening, spontaneous eye blink rate, auditory localization, habituation of auditory startle reflex, olfactory sniffing, swallowing/oral feeding, facial expressions to noxious stimulation, subtle motor behavior assessed by Motor Behavioral Tool-revised (MBT-r), and leg crossing ([Table 1] and [Fig. 2]).
![](https://www.thieme-connect.de/media/sin/202203/thumbnails/10-1055-a-1883-0861-i220015-2.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
Author (year) |
Behavior |
No. of patients and sex |
Age (mean±SD or median, IQR or range) |
Onset (mean±SD or median, IQR or range) |
Etiology |
Behavioral tool |
Diagnosis |
Brain imaging |
Main findings |
Sign of C |
Prognosis |
Bias/Limitations |
---|---|---|---|---|---|---|---|---|---|---|---|---|
van Ommen et al[35] (2018) |
Resistance to eye opening |
79 36 F 43 M |
37, IQR: 28–52 |
15 mo, IQR: 1–41 mo |
42 TBI 25 post-anoxic encephalopathy due to cardiac arrest 6 stroke 5 SAH 2 encephalitis 1 hypoglycemia |
CRS-R |
23 VS/UWS 15 MCS− 41 MCS+ |
PET MRI |
Significant relationship between REO and the level of consciousness. Higher REO repeatability in MCS. Atypical neuroimaging findings similar to MCS in VS/UWS patients with REO. |
Yes |
No correlation |
Heterogeneity in time since onset, etiologies, and brain damage. |
Magliacano et al[39] (2021) |
Spontaneous eye blink rate |
24 6 F 18 M |
50 ± 18 VS/UWS 53 ± 18 MCS |
6 ± 16 mo |
7 TBI 9 ABI 8 vascular |
CRS-R |
10 VS/UWS 14 MCS |
EEG |
Eye blink rate was significantly higher in MCS patients compared with VS/UWS patients. A significant positive correlation was found between CRS-R index and eye blink rate. |
Yes |
n/a |
Researcher who evaluated eye blink rates was not blinded to patients' diagnosis. Only investigating eye blink rate, but not other blink characteristics. Not recording all sessions for all patients at the same time of the day. Some patients were assessed less than 5 times by CRS-R for diagnosis. Small sample size. |
Carrière et al[41] (2020) |
Auditory localization |
186 66 F 120 M |
39 ± 16 |
9 mo, range: 1mo–29y |
100 TBI 86 non-TBI |
CRS-R |
64 VS/UWS 28 MCS− 71 MCS+ |
PET fMRI hdEEG |
Auditory localization increased with level of consciousness. Higher survival rates after 2-y follow-up in patients with auditory localization compared with patients without auditory localization. Higher fMRI functional connectivity between frontoparietal network and secondary occipital regions in VS/UWS patients with auditory localization. Higher participant coefficient in α band in VS/UWS patients with auditory localization. |
Yes |
Increased survival rate |
Small sample size of VS/UWS with localization (auditory localization as the only “sign of consciousness” is rare). Subgroups not matched for age and time since injury. Missing clinical outcome data. Some patients had light sedation for fMRI. Lack of auditory evoked potentials or otoacoustic emissions to rule out deafness in the absence of auditory response. |
Hermann et al[45] (2020) |
Habituation to auditory startle reflex |
96 M/F ratio: 1.8 |
44 ± 16 |
58 d, IQR: 31–236d |
39 ABI 27 TBI 12 vascular 18 other |
CRS-R |
48 VS/UWS 48 MCS |
PET DTI MRI hdEEG |
More habituation in MCS compared with VS/UWS. Higher CRS-R scores in all subscales except communication in patients with habituation. Highest prevalence and sensitivity for habituation compared with the performance of all MCS items of the CRS-R to discriminate MCS. PET activity in salience and default mode networks correlated with habituation. Higher θ and α power, with higher prefrontal-temporal connectivity in patients with habituation. Higher recovery of command-following after 6-mo follow-up in VS/UWS with habituation. |
Yes |
Yes (recovery of command-following after six-mo follow up) |
None reported. |
Sattin et al[46] (2019) |
Olfactory discrimination |
11 6 F 5 M |
57, IQR: 14 |
3–146 mo |
6 ABI 3 hemorrhagic brain injury 1 ischemic and hemorrhagic brain injury 1 TBI + ABI |
CRS-R |
9 VS/UWS 2 MCS |
fMRI |
All MCS and 33% of VS/UWS had a discriminatory olfactory response. All VS/UWS with discriminatory olfactory response had olfactory-related activity in olfactory cortices in fMRI. |
Yes |
n/a |
Small sample size. Lack of quantitative analysis of nasal airflow. Using only 4 odors could underestimate the real olfactory functions due to chance of specific anosmia. 4 patients excluded due to head movements in fMRI. |
Nigri et al[47] (2016) |
Olfactory processing |
42 19 F 23 M[*] |
57, IQR: 23–77 for VS/UWS; 44, IQR: 20–71 for MCS |
26mo, IQR: 3–146 for VS/UWS; 41mo, IQR: 11–170 for MCS |
17 ABI 7 hemorrhagic brain injury 6 TBI 2 ischemic and hemorrhagic brain injury 1 TBI + ABI |
CRS-R |
26 VS/UWS 7 MCS |
fMRI |
58% of VS/UWS, 100% of MCS showed odor-induced activity in primary olfactory areas. 39% of VS/UWS and 71% of MCS showed activation within a higher-order olfactory processing area. Most patients with anoxic brain injury had no activation in primary olfactory areas. |
n/a |
n/a |
Small sample size. The excluded populations (due to movement in fMRI) were majorly MCS, and thus might have skewed the results. |
Arzi et al[48] (2020) |
Olfactory sniffing |
43 8 F 35 M |
43 ± 17 |
1mo–10mo |
27 TBI 5 ABI 10 cerebrovascular accident 1 infection |
CRS-R CNC |
21 VS/UWS 22 MCS |
n/a |
Reduction of nasal airflow in response to odorants and empty jar presentation in MCS sessions, but not in VS/UWS sessions. Sniff response had 64.5% sensitivity to determine MCS. On individual level, VS/UWS patients who showed sniff response in at least one session later transitioned to MCS. Sniff response had 100% specificity and 62.5% sensitivity in predicting transition from VS/UWS to MCS. Sniff response had sensitivity of 91.7% in predicting survival after >3 y. |
Yes |
Recovery of consciousness (transition to MCS) and predicting survival after >3 y |
Data using two different behavioral assessment protocols (this was alleviated by having a third tool applied equally to all participants). Not being able to test more frequently due to clinical schedule (possible observation of advance detection with more frequent testing). This method requires uninflated tracheostomy balloons and would not work with inflated tracheostomy balloons. |
Wang et al[49] (2022) |
Behavioral response to olfactory stimuli |
23 7 F 16 M |
22–69 |
1–11 mo |
10 TBI 13 non-TBI |
CRS-R |
8 VS/UWS 15 MCS |
n/a |
Behavioral response to odorant stimuli compared with nonodorant stimuli (water) was higher among all patients. In response to the neutral odor presentation (1-Octen-3-ol), MCS patients had higher behavioral response compared with VS/UWS patients. |
Yes |
No correlation |
No neuroimaging. Small sample size. |
Mélotte et al[54] (2020) |
Oral feeding |
92 39 F 53 M |
41 ± 12 VS/UWS 38 ± 12 MCS |
30mo±22 for VS/UWS; 4mo±34 for MCS |
60 focal 32 global |
CRS-R PET |
26 VS/UWS 66 MCS |
PET |
Presence of tracheostomy, cough reflex, and oral phase efficacy related to consciousness. 0 VS/UWS with oral feeding or efficient oral phase. 0 MCS with complete feeding. |
Yes |
n/a |
Missing data for cough reflex criterion. Limited number of available criteria due to retrospective nature of the study. |
Chatelle et al[55] (2018) |
Facial expression to noxious stimuli |
85 28 F 57 M |
48 ± 17 VS/UWS 43 ± 17 MCS |
142d, IQR: 88–396 for VS/UWS; 133d, IQR: 78–350 for MCS |
35 TBI 25 ABI 25 other |
CRS-R |
28 VS/UWS 57 MCS |
n/a |
MCS had higher NCS-R scores compared with VS/UWS. Grimace observed more frequently in painful stimulation compared with nonpainful stimulation in all patients. Grimacing frequency more frequent in MCS compared with VS/UWS. |
Yes |
n/a |
High overlap of the items in NCS-R and CRS-R. In group analyses, single CRS-R assessment was used for diagnosis. Lack of blinding, same raters carrying out both assessments. |
Gélinas et al[56] (2019) |
Behavioral response to noxious stimulation |
147 51 F 96 M |
56 ± 20 |
> 4 wk after brain injury |
94 TBI 33 aneurysm 13 stroke 1 brain abscess |
GCS |
26 not conscious 56 altered 65 conscious |
n/a |
Higher number of active behaviors during nociceptive procedures in conscious patients. Grimace was a strong indicator for pain intensity in conscious patients. |
Yes |
n/a |
Raters not blinded. Checklist ratings included both bedside observation and videos which may have led to differences. Only 35 patients were able to self-report their pain (limiting power of analyses). |
Pincherle et al[58] (2019) |
Subtle motor behavior |
30 13 F 17 M |
64 ± 16 |
10±5d |
16 hemorrhage 3 metabolic 7 trauma 1 stroke 3 ABI |
CRS-R MBT-r |
13 coma 10 VS/UWS 5 MCS 2 eMCS |
n/a |
75% of coma and VS/UWS diagnosed by CRS-R showed signs of residual cognition with MBT-r. 66.7% of patients showing residual cognition by MBT-r had favorable outcome. |
Yes |
Yes, favorable outcome (discharge, 3 and 6 mo) |
Small and heterogenous cohort. |
Jöhr et al[59] (2020) |
Subtle motor behavior |
141 54 F 87 M |
53 ± 17 |
35±107d for clinical CMD; 55±19d for DoC; 25±20d for non-DoC |
55 severe traumatic 63 vascular 12 ABI 7 encephalopathy 4 neoplasm |
CRS-R MBT-r |
105 clinical CMD 19 DoC 17 non-DoC |
n/a |
Strong improvement trajectory of functional/cognitive recovery from admission to discharge in patients with residual cognition based on MBT-r assessment. |
Yes |
Yes, functional, and cognitive recovery from admission to discharge. |
Categorizing patients into clinical CMD solely based on MBT-r, and not performing active mental-imagery tasks stated in the definition of CMD. No differentiation of subtypes of CMD. Potential measurement error and reliability issues due to nonstandardized assessment of outcome measures retrospectively. Medical complications and their possible impact on outcomes not taken into consideration. Data collection only at two time points, which limited information about recovery course during hospitalization. |
Abbreviations: ABI, anoxic brain injury; CNC, Coma/Near Coma Scale; CMD, cognitive motor dissociation; CRS-R, Coma Recovery Scale-Revised; DoC, disorders of consciousness; DTI, diffusion tensor imaging; eMCS, emerging from minimally conscious state; F, female; fMRI, functional magnetic resonance imaging; hdEEG, high-density electroencephalography; IQR, interquartile range; M, male; MBT-r, Motor Behavioral Tool-revised; MCS, minimally conscious state; n/a, not available; NCR-R, Nociception Coma Scale-Revised; REO, resistance to eye opening; SAH, subarachnoid hemorrhage; SD, standard deviation; TBI, traumatic brain injury; VS/UWS, vegetative state/unresponsive wakefulness syndrome.
* 9 patients were discarded in data analysis due to excessive movements. The columns of etiology, diagnosis and main findings take into account only analyzed patients.
New Potential Behavioral Signs of Consciousness in DoC Patients
Resistance to Eye Opening
Resistance to eye opening, a firm closure of already closed eyelids when an examiner touches or tries to open the eyes, is evident in multiple neurological disorders.[31] [32] [33] [34] The presence of resistance to eye opening and its correlation with different levels of consciousness were assessed in 79 prolonged DoC patients (TBI and non-TBI).[35] The diagnosis of patients was based on repeated CRS-R assessments. The examiners considered resistance to eye opening present when there was forceful closure of one or both eyes upon manually opening the patients' upper eyelids bilaterally. Resistance to eye opening was present in 24% of patients (19/79): 26% of VS/UWS (6/23), 53% of MCS− (8/15), and 12% of MCS+ (5/41). Although MCS+ patients had the lowest rate of resistance to eye opening, a statistically significant relationship was present between resistance to eye opening and the level of consciousness. In addition, the repeatability of resistance to eye opening was the highest in patients with MCS + , suggestive of a correlation between the level of consciousness and the number of times resistance to eye opening was seen. MCS+ patients having the lowest rate but the highest repeatability seem contradictory. One possible explanation might be that as patients recover their consciousness, they might be able to understand the instructions of the examiner and inhibit their resistance to eye opening. To replicate, validate, and better understand the relationship between resistance to eye opening and the level of consciousness, future studies could include eMCS patients and healthy controls.
Furthermore, atypical neuroimaging findings (brain activity consistent with MCS diagnosis) were more likely to be seen in VS/UWS patients with resistance to eye opening (83%) than without (29%). Indeed, five out of six patients diagnosed with VS/UWS and with resistance to eye opening had neuroimaging results more compatible with MCS. Four showed relatively preserved PET metabolism in the frontoparietal network (similar to MCS patients), and one showed response to command during a motor imagery task assessed with fMRI, suggesting that these patients were MCS*/CMD.[14] [16] After 6 months of follow-up, only one of these patients showing resistance to eye opening recovered from VS/UWS, two passed away, and three remained in VS/UWS. Thus, there was no correlation between this behavior and the prognosis of these patients. Collectively, these results suggest that assessing resistance to eye opening repeatedly in prolonged DoC patients can help clinicians gain insight into patients' levels of consciousness. However, this study population had heterogeneity of etiologies and locations of brain injury. Since there might be voluntary and reflexive presentations of resistance to eye opening, future studies localizing brain lesions and correlating this with resistance to eye opening might provide more information regarding the cortical mediation of this behavior.
#
Spontaneous Eye Blink Rate
Several research teams have shown that eye blink rate is modulated by fatigue, vigilance, task demand, and cognitive load.[36] [37] [38] To test whether there was a difference in the spontaneous eye blink rate between MCS and VS/UWS patients, 24 chronic DoC patients (TBI and non-TBI) were enrolled in a recent study.[39] Ten patients were diagnosed as VS/UWS and 14 as MCS according to the CRS-R. There were two experimental sessions for each patient, at least 24 hours apart, where patients' eye blink rate was observed at rest for 3 minutes. The examiners stood next to the patients' bed, out of patients' visual field, where they could observe and count the eye blinks. All patients were encouraged to stay relaxed with their eyes open, and not move (they were not informed about the eye blink counting to avoid potential bias). Spontaneous eye blink rate at rest (the final agreement on the rate was reached after also taking into account EEG and EOG recordings) was found to be significantly higher in MCS compared with VS/UWS patients (first session: mean of 8 ± 3 blinks for UWS and 18 ± 3 for MCS; second session: mean of 6 ± 2 blinks for UWS and 26 ± 4 for MCS patients). CRS-R index (a modified linear score taking into account the highest item in each subscale)[40] was calculated and found to significantly correlate with the mean eye blink rate at rest. Due to small sample size and fluctuations in the arousal of DoC patients in this study, more studies with larger sample sizes and more standardized assessment protocols (blinding examiners to patients' diagnosis and applying consistent timing of experimental sessions across patients) are recommended to further test the spontaneous eye blink rate as a potential indicator for the level of consciousness.
#
Auditory Localization
In the CRS-R, spatial localization in visual and motor domains (visual pursuit and localization to noxious stimulation, respectively) is considered signs of MCS, whereas in the auditory subscale this is not the case, and localization to auditory stimulus is considered a reflex. In the CRS-R, auditory localization is evaluated by presenting auditory stimuli (patients' name, voice, noise, etc.) behind the patient, out of view, for 5 seconds twice on each side (right and left). When there is a clear head or eye movement toward the auditory stimuli on both trials in at least one direction within 10 seconds of stimulus presentation, the patient is considered to have auditory localization.[25] In a multimodal study, 186 patients with prolonged DoC (TBI and non-TBI) were assessed to examine whether auditory localization could be considered as a sign of MCS.[41] The probability of auditory localization increased with the level of consciousness: 13% of VS/UWS, 46% of MCS − , 62% of MCS + , and 78% of eMCS patients had auditory localization ([Fig. 3A]). Notably, regardless of the diagnosis, patients with auditory localization had higher survival rates after 2 years of follow-up (despite no significant differences in clinical improvement). According to the results obtained with PET, there were no significant differences in brain metabolism between VS/UWS patients with and without auditory localization. However, fMRI analysis showed higher functional connectivity between frontoparietal network and secondary occipital regions during rest in VS/UWS patients with localization compared with those without localization. High-density EEG results showed that VS/UWS patients with localization also had a higher participation coefficient in the α-band compared with VS/UWS patients without localization. The participant coefficient is a connectivity measure that has been shown to correlate with the level of consciousness in previous studies on DoC patients.[42] [43] [44] Taking all these results into consideration, auditory localization might be a more complex behavior than a reflex, and with the need for additional confirmation of further studies, it could be reconsidered as a potential sign of MCS.
![](https://www.thieme-connect.de/media/sin/202203/thumbnails/10-1055-a-1883-0861-i220015-3.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
#
Habituation of Auditory Startle Reflex
In the auditory subscale of the CRS-R, auditory startle reflex is the lowest score item above zero (no response). To test its validity as a sign of MCS, habituation of auditory startle reflex was examined in 98 patients with prolonged DoC (TBI and non-TBI).[45] Habituation was assessed by presenting a loud handclap noise directly above the patients' head (out of view) 10 times consecutively (∼120 bpm), administering four trials. If patients had eyelid flutter or blink immediately after the stimulus in at least two trials, this was considered as auditory startle being present. If patients had eyelid flutter or blink after each and every clap, this was considered as inextinguishable auditory startle reflex; otherwise, patients were considered as having habituation of auditory startle reflex. Habituation was observed in 55% (53/96) of the patients. Patients who had habituation were significantly younger than patients who did not have habituation (which may have introduced a bias to the results). Habituation was present in 75% (36/48) of MCS patients, whereas it was only observed in 35% (17/48) of VS/UWS patients. Additionally, on the group level analysis, patients with habituation had higher scores in every CRS-R subscale except the communication subscale. The performance of each MCS item in the CRS-R and the habituation of auditory startle reflex in discriminating MCS patients were compared. Habituation had the highest prevalence and sensitivity, 55 and 75% [60–86], respectively, among all MCS items. The accuracy of habituation was 70%, second highest after visual pursuit (75% [65–83]). The mechanism of habituation of auditory startle reflex could be of cortical origin, as shown with FDG-PET and high-density EEG data. PET metabolic activity in multiple networks including the salience network and the default mode network correlated with the presence of habituation of auditory startle reflex ([Fig. 3B]). Higher θ- and α-power, together with higher values of cortico-cortical functional connectivity (especially, higher prefrontal–temporal connectivity), were observed in patients with habituation compared with patients without habituation. The recovery of command-following at 6 months was significantly higher in VS/UWS patients who showed habituation compared with those who did not show habituation. This new behavioral item could be considered as another sign of consciousness for MCS diagnosis and could be implemented in the CRS-R auditory scale.
#
Olfactory Sniffing
The sense of smell in DoC patients has been scarcely studied; yet, accumulating findings suggest a link between olfactory abilities and the level of consciousness. A pilot study in 11 DoC patients (nine VS/UWS and two MCS) examined olfactory discrimination abilities based on patients' behavior.[46] A discriminatory olfactory response was defined by a behavioral response (eyes closure, grimace, avoiding head movement, or vocalization) to an unpleasant odor (stuffy socks-like or rancid-like) and trigeminal-irritating odor (ammonia) but not to a pleasant odor (rose-like). All MCS patients and three VS/UWS patients (33.3%) showed a discriminatory olfactory response. Notably, the three patients diagnosed with VS/UWS who showed a discriminatory olfactory response had olfactory-related activity in olfactory cortices when assessed with fMRI, suggesting that these patients might be MCS*. The six VS/UWS patients (66.7%) with no discriminatory olfactory response had no olfactory-related activity in either the primary or secondary olfactory cortices. These findings align with an fMRI study that examined olfactory neural processing in 26 VS/UWS and 7 MCS patients.[47] Odor-induced activity in primary olfactory areas was evident in 58% of VS/UWS patients (15/26) and all MCS patients (100%, 7/7). Brain activation also varied with the etiology of the lesion, where most patients with anoxic brain injury had no activation in primary olfactory areas.
A recent study investigated olfactory sniffing in 43 patients with chronic DoC (TBI and non-TBI).[48] Sensory-driven sniffing (level 1, odorant detection; level 2, odorant discrimination) reflected automatic odorant-driven response, whereas cognitive-driven sniffing reflected situational understanding and/or learning (when subjects were told they will be presented with an odorant, but they were instead presented with an empty jar; nevertheless they modified their nasal inflow). Patients were presented with pleasant (shampoo) and unpleasant (rotten fish) odors, or clean air (empty jar); their nasal inhalation volume in response to the stimuli was examined via a nasal cannula directly connected to a spirometer, and an instrumentation amplifier. Patients' level of consciousness was assessed with CRS-R and/or Coma/Near Coma Scale after each session (in addition, the Loewenstein Communication Scale was used in some cases). In total, 73 sessions were conducted in 31 MCS patients, and 73 sessions were conducted in 24 VS/UWS patients. At the group level analysis (for sessions), they observed a 10% reduction of nasal airflow from baseline in response to the odorants' presentation (regardless of pleasant or unpleasant, indicating sensory-driven level 1 sniffing response) in MCS sessions, but not in VS/UWS sessions. A similar difference was also recorded for cognitive-driven sniffing, with a 5% nasal airflow reduction in response to clean air presentation (empty jar) compared with baseline among MCS patients only. When reanalyzing the data to reflect individual level differences (of clinical importance at the patient level), sniff response had a sensitivity of 64.5% to determine MCS. Surprisingly, 10 out of 24 VS/UWS patients showed sniff response in at least one session, and all 10 patients later transitioned into MCS (during the study, 16 out of 24 VS/UWS patients transitioned to MCS). In this sample, the sniff response in VS/UWS patients therefore demonstrated 100% specificity and 62.5% sensitivity (10 out of 16 VS/UWS patients who transitioned to MCS) to predict a transition to MCS. All the patients were followed up to see how their sniff response related to long-term outcome ([Fig. 3C]). A sensitivity of 91.7% was measured for the sniff response in predicting survival at 3.1 ± 1.2 years after brain injury.
A more recent study evaluated DoC patients' behavioral responses to different olfactory stimuli, with a more qualitative approach compared with the aforementioned olfactory sniffing studies.[49] Twenty-three DoC patients (TBI and non-TBI) were enrolled in this study. Eight patients were diagnosed as VS/UWS and 15 as MCS according to repeated CRS-R. Videos were recorded while patients were being presented with one of three different olfactory stimuli: 1-Octen-3-ol (familiar neutral odor), pyridine (unpleasant fish-like smell), and water (odorless). Each odor was presented once for 3 seconds, with 15 seconds between different stimuli. The behavioral responses such as pouting, shaking head, pushing things away with hands, frowning, and twisting head in avoidance were scored by two independent and blinded (to the stimuli and diagnosis) raters. Among all patients, the behavioral responses to olfactory stimuli (1-Octen-3-ol and pyridine) were higher than nonolfactory (water) stimuli. During the familiar neutral odor session, 93% of MCS and none of the VS/UWS patients showed behavioral responses, and this difference was significant. During unpleasant fish-like smell session, 60% of MCS and 13% of VS/UWS patients showed behavioral responses, although this difference was not significant. During the odorless session, 13% of MCS and none of the VS/UWS patients showed behavioral responses. The patients were followed up after 1, 3, and 6 months with CRS-R evaluations. There was no significant correlation between behavioral response to olfactory stimuli and the prognosis.
Altogether, these findings suggest that olfactory stimuli are valuable additions to the current assessment protocols and that olfactory sniff response is a powerful and easily accessible tool which can be used in the assessment, diagnosis, and prognosis of DoC patients, further decreasing misdiagnosis rates.
#
Swallowing/Oral Feeding
Previous neuropathological studies suggest that a correlation may exist between the level of consciousness and swallowing function.[50] [51] [52] The presence of oral feeding was investigated in 68 chronic VS/UWS patients (TBI and non-TBI) by reviewing their clinical information. These patients also underwent multimodal assessments.[53] Only 3% (2/68) of these VS/UWS patients could be fed orally. The first patient received liquid and semi liquid oral feeding in combination with gastrostomy feeding. Otorhinolaryngological exam and fiberoptic endoscopic evaluation demonstrated intact laryngeal mobility and cough reflex, and no salivary or secretions stasis. Even though no inhalation occurred, the initiation of the swallowing reflex was delayed. Clinical evaluation and neuroimaging assessments were suggestive of VS/UWS diagnosis. The second patient received full oral feeding, with solid food. Behavioral evaluations were suggestive of VS/UWS diagnosis as well, but neuroimaging and electrophysiologic assessments showed atypical findings (relative preservation of metabolism within frontal and occipital cortices, relatively preserved white matter integrity on diffusion tensor imaging, and theta activity on EEG, despite the absence of resting-state fMRI networks). Due to dissociation between behavioral and neuroimaging findings, this patient could be considered as MCS* rather than VS/UWS. This study suggests that full oral feeding and a complex oral phase of swallowing might be considered as a sign of consciousness.
A more recent study collected information regarding respiratory status, nutritional status, and otolaryngological swallowing examination from 92 patients with prolonged DoC (TBI and non-TBI).[54] Ten criteria were established: respiratory status (tracheostomy), nutritional status (feeding type), oral phase of swallowing (hypertonia of the jaw muscles, oral phase, efficacy of the oral phase), and pharyngeal phase of swallowing (pharyngo-laryngeal secretions, saliva aspiration, cough reflex, cream aspiration, liquid aspiration). The presence of a tracheostomy, cough reflex, and oral phase efficacy were found to be related to consciousness. None of the VS/UWS patients (diagnosed with multiple CRS-Rs and confirmed with hypometabolism in the frontoparietal network bilaterally using PET) had an efficient oral phase, and none could be fed orally. Additionally, none of the MCS patients received ordinary oral food. Since VS/UWS patients more frequently had a tracheostomy at the time of assessment than MCS patients, their ability to correctly manage saliva differed significantly. Taken together, these results suggested that objective and systematic assessment of swallowing should also be performed in all DoC patients, which could provide additional clinical data on the level of consciousness.
#
Facial Expressions to Nociception
Pain assessment and management in DoC patients have long been an important ethical issue, since these patients cannot communicate their needs explicitly. Whether the level of responsiveness to painful stimuli could reflect the level of consciousness was investigated in a study enrolling 85 acute and prolonged DoC patients (TBI and non-TBI).[55] The levels of consciousness assessed by CRS-R total scores correlated with responses to the Nociception Coma Scale-Revised (NCS-R). Specifically, MCS patients had higher NCS-R scores compared with VS/UWS patients. CRS-R oromotor/verbal and motor subscores after noxious stimulation correlated with total NCS-R scores during noxious stimulation, and the NCS-R was not found to be more sensitive than CRS-R in assessing nociception. However, the importance of observing facial expressions to nociception was emphasized, with the results showing that grimace was observed more frequently in all patients during painful stimulation compared with nonpainful stimulation. Furthermore, there was a difference in grimacing frequency between MCS and VS/UWS patients during noxious stimulation, less frequent in the latter group. This difference may be due to the presence of tracheostomy (more frequently present in VS/UWS patients) having a possible effect on decreased lower face expression of patients. Nonetheless, observation of the facial expressions in the DoC patient population could add valuable information to the assessment.
Another study including 147 brain-injured patients (TBI and non-TBI) assessed behaviors related to standard ICU care procedures (nociceptive and non-nociceptive) in patients with different levels of consciousness.[56] Patients were classified as unconscious (GCS: 3–8), altered (GCS: 9–12), or conscious (GCS: 13–15). A behavioral checklist consisting of 30 active (grimace, tube biting, brow lowering, mouth opening, etc.) and 10 neutral (open mouth, open eyes, smile, etc.) behaviors was used for scoring. A higher number of active behaviors were observed during nociceptive procedures in conscious patients. In addition, grimace was found to be a strong indicator for pain intensity in conscious patients. The results of this study, again, emphasize that the standardized observation of facial expressions during noxious stimulation could help better classify patients.
#
Subtle Motor Behavior Assessed by the Motor Behavioral Tool
The Motor Behavioral Tool-revised (MBT-r)[57] [58] was developed to capture subtle motor behaviors possibly overlooked by the CRS-R. MBT-r includes seven positive signs and two negative signs ([Table 2]). Patients were considered to have residual cognition if at least one positive item was present. The presence of a negative item suggested brainstem dysfunction and potentially abnormal automatic responses, in which case patients were not scored with MBT-r. The tool also took into consideration the inter-rater agreement of each item, eliminating reliance on an isolated item with a low inter-rater agreement. MBT-r was administered to a cohort of 30 patients with acute DoC (TBI and non-TBI) as a complementary tool to the CRS-R.[58] The authors followed up patients at discharge, after 3 months, and after 6 months, with the Glasgow Outcome Scale score, grouping them into favorable and unfavorable outcome according to their consciousness recovery (unfavorable: remaining in VS/UWS or death). Out of 24 patients classified as unconscious (coma, VS/UWS) by the CRS-R (best score out of three assessments), 18 (75%) showed signs of residual cognition with MBT-r. Also, 66.7% of patients showing residual cognition by the MBT-r had a favorable outcome. Thus, MBT-r could be a useful clinical tool to detect signs of residual cognition (subtle motor behavior) underestimated by the CRS-R, and predict recovery in acute DoC patients.
The Motor Behavioral Tool-revised (MBT-r) items |
|
---|---|
Positive signs |
Spontaneous nonreflexive movements |
Response to command |
|
Visual fixation or visual pursuit |
|
Responses in a motivational context |
|
Defensive nonreflexive response to a noxious stimulation: nipple |
|
Defensive nonreflexive response to a noxious stimulation: nail bed |
|
Response to a noxious stimulation: grimace |
|
Negative signs |
Abnormal motor or neurovegetative responses to stimulation |
Signs of roving eyes or absence of oculocephalic reflex |
Note: MBT-r consists of seven positive signs and two negative signs to assess patients with DoC for subtle motor behaviors and residual cognition.
This tool was also used in a study of 140 patients (TBI and non-TBI), where the patients were grouped into DoC (coma, VS/UWS, and MCS), non-DoC (patients who were able to interact adequately), and potential clinical CMD (patients who have residual cognition according to MBT-r assessment).[59] The latter group showed a strong improvement trajectory of functional/cognitive recovery from admission to discharge, where outcomes were measured by GOS and other outcome scales (e.g., Disability Rating Scale).[59] Collectively, these results emphasize that the combination of MBT-r and CRS-R in DoC patients could help detect covert consciousness in a substantial fraction of patients.
#
Leg Crossing
Crossing legs is considered an automatic motor response in the CRS-R, one of the eleven signs that denotes MCS − . In one study, 34 patients with severe stroke who crossed their legs during their hospitalization (“crossers”) were matched with 34 severe stroke patients who did not cross their legs (“non-crossers”).[60] Patients were evaluated at admission, upon discharge, and 1 year after discharge, with GCS, NIH Stroke Scale (NIHSS), modified Rankin scale (mRS), and Barthel Index (BI). No significant differences were observed between the two groups at the time of admission, but upon discharge NIHSS and mRS were lower and BI was higher for crossers, indicating less severe neurologic deficits, less disability, and higher functional independence, respectively. After 1-year follow-up, these differences were even larger. Also, mortality was significantly lower in the “crossers” group. Leg crossing within the first 15 days after severe stroke favored better outcome in patients, and could be used as a prognostic tool. It is a sign that any healthcare provider could easily assess and needs further attention and validation by larger studies. This behavior has not been assessed in patients with DoC, but further attention is warranted in clinical practice, and further studies should assess the validity of this sign in patients with DoC.
#
#
Discussion
In this review, we summarized recent findings regarding newly proposed behaviors denoting consciousness in patients with DoC, which could help improve the accuracy of detecting and predicting recovery of consciousness. A summary of the findings is presented in [Table 1]. While they may not all reliably reflect the presence of conscious processing, the use of these behaviors can be justified based on their safe and affordable evaluation. We therefore advocate a careful observation of these new behavioral signs (resistance to eye opening, spontaneous eye blink rate, auditory localization, habituation to auditory startle reflex, olfactory sniffing, swallowing/oral feeding, facial expressions to noxious stimulation, subtle motor behavior, and leg crossing) among DoC patients when clinically appropriate ([Fig. 2]). Raising awareness about these behaviors among caregivers, families, and all the responsible healthcare personnel might drive the development of validation studies and encourage a thorough multimodal assessment of patients presenting these clinical signs.
Beyond repeated assessments with CRS-R, we encourage the use of additional standardized tools in patients with DoC to test specific functions, such as the MBT-r or the SWADOC (SWallowing Assessment in Disorders of Consciousness—a standardized swallowing tool under validation[61]). However, we acknowledge the challenges of time management when assessing patients in ICU settings. In this context, a new validated scale (SECONDs) has been developed to provide a faster and more practical tool to administer than the CRS-R in time-constrained clinical settings.[23] [24] We also encourage continuous observation and reporting by healthcare personnel of other spontaneous motor behaviors such as tube pulling, nose scratching, and grabbing sheets. As more potential new behaviors of consciousness emerge from these observations, we recommend evaluating these behaviors in future studies in three ways: by comparing these behaviors between different states of consciousness (VS/UWS, MCS, MCS*, CMD, eMCS), by correlating each behavior with long-term outcome measures, and finally supporting these studies with neuroimaging techniques ([Fig. 3]).
Despite established criteria for the diagnosis of MCS in standardized behavioral assessments, some of the items in the CRS-R denoting MCS are still controversial, such as visual fixation. In a study comparing the cerebral metabolism of five patients with chronic anoxic VS/UWS (therefore without visual fixation) with five patients with chronic anoxic MCS in whom the only sign of consciousness was visual fixation, no significant difference was found in cortical metabolism or cortico-cortical connectivity between the two groups.[62] Although this study used a small sample size limited to anoxic brain injury, it stresses the need to further validate some of the controversial signs of consciousness, such as visual fixation, with multimodal neuroimaging studies and larger sample sizes to elucidate the neural mechanisms supporting behavior and relate it to conscious processing.
Recent studies, beyond the scope of this article, suggest that electrophysiological findings,[63] [64] [65] [66] [67] [68] [69] [70] [71] [72] [73] neuroimaging findings,[16] [43] [74] pupil responses,[75] [76] and autonomic nervous system correlates[77] [78] might also reflect the level of consciousness in patients with DoC. Thus, we emphasize the need to further investigate and validate these parameters within the framework of a multimodal assessment (behavioral and neuroimaging) in DoC patients. There have been studies also suggesting that using salient stimuli, assessing behaviors within a context relevant to the patients, or performing individually tailored motivational assessments might further enhance arousal and patient participation when diagnosing patients with DoC.[59] [79] [80] [81] [82] [83] [84] Thus, we encourage further validation studies about the effects of implementing emotional context and salient stimuli in the assessment of DoC patients.
Regarding the diagnosis of DoC patients, some of the recommendations by the 2020 European Academy of Neurology guideline[27] are as follows: (1) passively opening patients' eyes who have no spontaneous or stimulation-triggered eye opening, and assess for both horizontal and vertical eye movements (patients with locked-in syndrome have preserved vertical eye movements) (strong recommendation); (2) using a mirror for visual pursuit, and if not elicited by a mirror, the use of pictures showing the patient's or relatives' faces or personal objects (strong recommendation); and (3) using repeated CRS-R (at least five times) assessments in the subacute–chronic setting and the Full Outline of UnResponsiveness scale in the acute setting instead of the GCS (strong recommendation). Also, the need for multicenter collaborations is highly stressed in this guideline, as well as the need for more studies investigating resistance to eye opening,[35] pupillary dilation assessment following mental arithmetic with automated pupillometry,[75] [85] quantitative assessment of visual tracking,[86] [87] standardized rating of spontaneous motor behavior,[58] the possibility of oral feeding,[53] evidence of circadian rhythms,[88] vegetative responses to salient stimuli,[89] and modulations of cardiac cycle (heart rate, heart rate variability, cardiac cycle phase shifts).[69] [70]
The diagnostic assessment of DoC patients is associated with major clinical and ethical implications. Feasible solutions to improve diagnostic accuracy are urgently needed in clinical practice, which should be addressed in a multidisciplinary approach. Further formal validation studies for the proposed new behavioral signs of consciousness summarized in this article are needed for implementation in clinical practice, although we acknowledge the challenge of lacking a gold standard reference for consciousness. Currently, very few specialized centers perform an up-to-date multimodal assessment of these patients. As a result, there is a distinct gap between scientific research and clinical practice. We encourage ICU and rehabilitation healthcare workers to collaborate with translational research teams worldwide and adopt a multidisciplinary approach in their assessment of patients with DoC, which may help bridge the gap between research and clinical practice in this field.
#
#
Conflict of Interest
None declared.
Acknowledgments
Special thanks to Garrett Mindt and Benedetta Cecconi for their brainstorming and feedback on the article.
-
References
- 1 Maas AIR, Menon DK, Adelson PD. et al; InTBIR Participants and Investigators. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. Lancet Neurol 2017; 16 (12) 987-1048
- 2 GBD 2016 Traumatic Brain Injury and Spinal Cord Injury Collaborators. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18 (01) 56-87
- 3 Elmer J, Torres C, Aufderheide TP. et al; Resuscitation Outcomes Consortium. Association of early withdrawal of life-sustaining therapy for perceived neurological prognosis with mortality after cardiac arrest. Resuscitation 2016; 102: 127-135
- 4 Turgeon AF, Lauzier F, Simard JF. et al; Canadian Critical Care Trials Group. Mortality associated with withdrawal of life-sustaining therapy for patients with severe traumatic brain injury: a Canadian multicentre cohort study. CMAJ 2011; 183 (14) 1581-1588
- 5 Peberdy MA, Kaye W, Ornato JP. et al. Cardiopulmonary resuscitation of adults in the hospital: a report of 14720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation. Resuscitation 2003; 58 (03) 297-308
- 6 Izzy S, Compton R, Carandang R, Hall W, Muehlschlegel S. Self-fulfilling prophecies through withdrawal of care: do they exist in traumatic brain injury, too?. Neurocrit Care 2013; 19 (03) 347-363
- 7 Giacino JT, Katz DI, Schiff ND. et al. Practice guideline update recommendations summary: disorders of consciousness: report of the guideline development, dissemination, and implementation subcommittee of the American Academy of Neurology; the American Congress of Rehabilitation Medicine; and the National Institute on Disability, Independent Living, and Rehabilitation Research. Arch Phys Med Rehabil 2018; 99 (09) 1699-1709
- 8 Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. Lancet 1974; 2 (7872): 81-84
- 9 Laureys S, Celesia GG, Cohadon F. et al; European Task Force on Disorders of Consciousness. Unresponsive wakefulness syndrome: a new name for the vegetative state or apallic syndrome. BMC Med 2010; 8: 68
- 10 Jennett B, Plum F. Persistent vegetative state after brain damage: a syndrome in search of a name. Lancet 1972; 1 (7753): 734-737
- 11 Multi-Society Task Force on PVS. Medical aspects of the persistent vegetative state (1). N Engl J Med 1994; 330 (21) 1499-1508
- 12 Giacino JT, Ashwal S, Childs N. et al. The minimally conscious state: definition and diagnostic criteria. Neurology 2002; 58 (03) 349-353
- 13 Bruno MA, Vanhaudenhuyse A, Thibaut A, Moonen G, Laureys S. From unresponsive wakefulness to minimally conscious PLUS and functional locked-in syndromes: recent advances in our understanding of disorders of consciousness. J Neurol 2011; 258 (07) 1373-1384
- 14 Schiff ND. Cognitive motor dissociation following severe brain injuries. JAMA Neurol 2015; 72 (12) 1413-1415
- 15 Gosseries O, Zasler ND, Laureys S. Recent advances in disorders of consciousness: focus on the diagnosis. Brain Inj 2014; 28 (09) 1141-1150
- 16 Thibaut A, Panda R, Annen J. et al. Preservation of brain activity in unresponsive patients identifies MCS star. Ann Neurol 2021; 90 (01) 89-100
- 17 Schnakers C, Giacino JT, Løvstad M. et al. Preserved covert cognition in noncommunicative patients with severe brain injury?. Neurorehabil Neural Repair 2015; 29 (04) 308-317
- 18 Schnakers C, Vanhaudenhuyse A, Giacino J. et al. Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neurobehavioral assessment. BMC Neurol 2009; 9 (01) 35
- 19 Stender J, Gosseries O, Bruno MA. et al. Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: a clinical validation study. Lancet 2014; 384 (9942): 514-522
- 20 Wang J, Hu X, Hu Z, Sun Z, Laureys S, Di H. The misdiagnosis of prolonged disorders of consciousness by a clinical consensus compared with repeated coma-recovery scale-revised assessment. BMC Neurol 2020; 20 (01) 343
- 21 Wannez S, Heine L, Thonnard M, Gosseries O, Laureys S, Collaborators CSG. Coma Science Group Collaborators. The repetition of behavioral assessments in diagnosis of disorders of consciousness. Ann Neurol 2017; 81 (06) 883-889
- 22 Wijdicks EFM, Bamlet WR, Maramattom BV, Manno EM, McClelland RL. Validation of a new coma scale: the FOUR score. Ann Neurol 2005; 58 (04) 585-593
- 23 Aubinet C, Cassol H, Bodart O. et al. Simplified evaluation of CONsciousness disorders (SECONDs) in individuals with severe brain injury: a validation study. Ann Phys Rehabil Med 2021; 64 (05) 101432
- 24 Sanz LRD, Aubinet C, Cassol H. et al. SECONDs administration guidelines: a fast tool to assess consciousness in brain-injured patients. J Vis Exp 2021; (168) e61968
- 25 Giacino JT, Kalmar K, Whyte J. The JFK Coma Recovery Scale-Revised: measurement characteristics and diagnostic utility. Arch Phys Med Rehabil 2004; 85 (12) 2020-2029
- 26 Seel RT, Sherer M, Whyte J. et al; American Congress of Rehabilitation Medicine, Brain Injury-Interdisciplinary Special Interest Group, Disorders of Consciousness Task Force. Assessment scales for disorders of consciousness: evidence-based recommendations for clinical practice and research. Arch Phys Med Rehabil 2010; 91 (12) 1795-1813
- 27 Kondziella D, Bender A, Diserens K. et al; EAN Panel on Coma, Disorders of Consciousness. European Academy of Neurology guideline on the diagnosis of coma and other disorders of consciousness. Eur J Neurol 2020; 27 (05) 741-756
- 28 Martens G, Bodien Y, Sheau K, Christoforou A, Giacino JT. Which behaviours are first to emerge during recovery of consciousness after severe brain injury?. Ann Phys Rehabil Med 2020; 63 (04) 263-269
- 29 Wannez S, Gosseries O, Azzolini D. et al. Prevalence of coma-recovery scale-revised signs of consciousness in patients in minimally conscious state. Neuropsychol Rehabil 2018; 28 (08) 1350-1359
- 30 Carrière M, Llorens R, Navarro MD, Olaya J, Ferri J, Noé E. Behavioral signs of recovery from unresponsive wakefulness syndrome to emergence of minimally conscious state after severe brain injury. Ann Phys Rehabil Med 2022; 65 (02) 101534
- 31 Fisher CM. Reflex blepharospasm. Neurology 1963; 13: 77-78
- 32 Larumbe R, Vaamonde J, Artieda J, Zubieta JL, Obeso JA. Reflex blepharospasm associated with bilateral basal ganglia lesion. Mov Disord 1993; 8 (02) 198-200
- 33 Grandas F, López-Manzanares L, Traba A. Transient blepharospasm secondary to unilateral striatal infarction. Mov Disord 2004; 19 (09) 1100-1102
- 34 Jankovic J, Patel SC. Blepharospasm associated with brainstem lesions. Neurology 1983; 33 (09) 1237-1240
- 35 van Ommen HJ, Thibaut A, Vanhaudenhuyse A. et al. Resistance to eye opening in patients with disorders of consciousness. J Neurol 2018; 265 (06) 1376-1380
- 36 Huang Z, Stanford MS, Barratt ES. Blink rate related to impulsiveness and task demands during performance of event-related potential tasks. Pers Individ Dif 1994; 16 (04) 645-648
- 37 Chen S, Epps J. Using task-induced pupil diameter and blink rate to infer cognitive load. Hum Comput Interact 2014; 29 (04) 390-413
- 38 Magliacano A, Fiorenza S, Estraneo A, Trojano L. Eye blink rate increases as a function of cognitive load during an auditory oddball paradigm. Neurosci Lett 2020; 736: 135293
- 39 Magliacano A, Rosenfelder M, Hieber N, Bender A, Estraneo A, Trojano L. Spontaneous eye blinking as a diagnostic marker in prolonged disorders of consciousness. Sci Rep 2021; 11 (01) 22393
- 40 Annen J, Filippini MM, Bonin E. et al. Diagnostic accuracy of the CRS-R index in patients with disorders of consciousness. Brain Inj 2019; 33 (11) 1409-1412
- 41 Carrière M, Cassol H, Aubinet C. et al. Auditory localization should be considered as a sign of minimally conscious state based on multimodal findings. Brain Commun 2020; 2 (02) a195
- 42 Chennu S, Finoia P, Kamau E. et al. Spectral signatures of reorganised brain networks in disorders of consciousness. PLOS Comput Biol 2014; 10 (10) e1003887
- 43 Chennu S, Annen J, Wannez S. et al. Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness. Brain 2017; 140 (08) 2120-2132
- 44 Lechinger J, Bothe K, Pichler G. et al. CRS-R score in disorders of consciousness is strongly related to spectral EEG at rest. J Neurol 2013; 260 (09) 2348-2356
- 45 Hermann B, Salah AB, Perlbarg V. et al. Habituation of auditory startle reflex is a new sign of minimally conscious state. Brain 2020; 143 (07) 2154-2172
- 46 Sattin D, Bruzzone MG, Ferraro S, Nigri A, Leonardi M, Guido D. Coma Research Center, Fondazione IRCCS Istituto Neurologico “Carlo Besta”, Milan, Italy. Olfactory discrimination in disorders of consciousness: a new sniff protocol. Brain Behav 2019; 9 (08) e01273
- 47 Nigri A, Ferraro S, Bruzzone MG. et al; CRC - Coma Research Centre Members. Central olfactory processing in patients with disorders of consciousness. Eur J Neurol 2016; 23 (03) 605-612
- 48 Arzi A, Rozenkrantz L, Gorodisky L. et al. Olfactory sniffing signals consciousness in unresponsive patients with brain injuries. Nature 2020; 581 (7809): 428-433
- 49 Wang J, Zhang S, Liu W. et al. Olfactory stimulation and the diagnosis of patients with disorders of consciousness: a double-blind, randomized clinical trial. Front Neurosci 2022; 16: 712891
- 50 Mackay LE, Morgan AS, Bernstein BA. Swallowing disorders in severe brain injury: risk factors affecting return to oral intake. Arch Phys Med Rehabil 1999; 80 (04) 365-371
- 51 Formisano R, Voogt RD, Buzzi MG. et al. Time interval of oral feeding recovery as a prognostic factor in severe traumatic brain injury. Brain Inj 2004; 18 (01) 103-109
- 52 Hansen TS, Engberg AW, Larsen K. Functional oral intake and time to reach unrestricted dieting for patients with traumatic brain injury. Arch Phys Med Rehabil 2008; 89 (08) 1556-1562
- 53 Mélotte E, Maudoux A, Delhalle S. et al. Is oral feeding compatible with an unresponsive wakefulness syndrome?. J Neurol 2018; 265 (04) 954-961
- 54 Mélotte E, Maudoux A, Delhalle S. et al. Swallowing in individuals with disorders of consciousness: a cohort study. Ann Phys Rehabil Med 2021; 64 (04) 101403
- 55 Chatelle C, Hauger SL, Martial C. et al. Assessment of nociception and pain in participants in an unresponsive or minimally conscious state after acquired brain injury: the relation between the Coma Recovery Scale-Revised and the Nociception Coma Scale-Revised. Arch Phys Med Rehabil 2018; 99 (09) 1755-1762
- 56 Gélinas C, Boitor M, Puntillo KA. et al. Behaviors indicative of pain in brain-injured adult patients with different levels of consciousness in the intensive care unit. J Pain Symptom Manage 2019; 57 (04) 761-773
- 57 Pignat JM, Mauron E, Jöhr J. et al. Outcome prediction of consciousness disorders in the acute stage based on a complementary motor behavioural tool. PLoS One 2016; 11 (06) e0156882
- 58 Pincherle A, Jöhr J, Chatelle C. et al. Motor behavior unmasks residual cognition in disorders of consciousness. Ann Neurol 2019; 85 (03) 443-447
- 59 Jöhr J, Halimi F, Pasquier J, Pincherle A, Schiff N, Diserens K. Recovery in cognitive motor dissociation after severe brain injury: a cohort study. PLoS One 2020; 15 (02) e0228474
- 60 Rémi J, Pfefferkorn T, Owens RL. et al. The crossed leg sign indicates a favorable outcome after severe stroke. Neurology 2011; 77 (15) 1453-1456
- 61 Mélotte E, Belorgeot M, Herr R. et al. The development and validation of the SWADOC: a study protocol for a multicenter prospective cohort study. Front Neurol 2021; 12: 662634
- 62 Bruno MA, Vanhaudenhuyse A, Schnakers C. et al. Visual fixation in the vegetative state: an observational case series PET study. BMC Neurol 2010; 10: 35
- 63 Venturella I, Crivelli D, Fossati M, Fiorillo F, Balconi M. EEG and autonomic responses to nociceptive stimulation in disorders of consciousness. J Clin Neurosci 2019; 60: 101-106
- 64 Bekinschtein TA, Coleman MR, Niklison III J, Pickard JD, Manes FF. Can electromyography objectively detect voluntary movement in disorders of consciousness?. J Neurol Neurosurg Psychiatry 2008; 79 (07) 826-828
- 65 Habbal D, Gosseries O, Noirhomme Q. et al. Volitional electromyographic responses in disorders of consciousness. Brain Inj 2014; 28 (09) 1171-1179
- 66 Bekinschtein TA, Shalom DE, Forcato C. et al. Classical conditioning in the vegetative and minimally conscious state. Nat Neurosci 2009; 12 (10) 1343-1349
- 67 Lesenfants D, Habbal D, Chatelle C, Schnakers C, Laureys S, Noirhomme Q. Electromyographic decoding of response to command in disorders of consciousness. Neurology 2016; 87 (20) 2099-2107
- 68 Riganello F, Chatelle C, Schnakers C, Laureys S. Heart rate variability as an indicator of nociceptive pain in disorders of consciousness?. J Pain Symptom Manage 2019; 57 (01) 47-56
- 69 Riganello F, Larroque SK, Bahri MA. et al. A heartbeat away from consciousness: heart rate variability entropy can discriminate disorders of consciousness and is correlated with resting-state fMRI brain connectivity of the central autonomic network. Front Neurol 2018; 9: 769
- 70 Raimondo F, Rohaut B, Demertzi A. et al. Brain-heart interactions reveal consciousness in noncommunicating patients. Ann Neurol 2017; 82 (04) 578-591
- 71 Pérez P, Madsen J, Banellis L. et al. Conscious processing of narrative stimuli synchronizes heart rate between individuals. Cell Rep 2021; 36 (11) 109692
- 72 Candia-Rivera D, Annen J, Gosseries O. et al. Neural responses to heartbeats detect residual signs of consciousness during resting state in postcomatose patients. J Neurosci 2021; 41 (24) 5251-5262
- 73 Casali AG, Gosseries O, Rosanova M. et al. A theoretically based index of consciousness independent of sensory processing and behavior. Sci Transl Med 2013; 5 (198) 198ra105
- 74 Demertzi A, Tagliazucchi E, Dehaene S. et al. Human consciousness is supported by dynamic complex patterns of brain signal coordination. Sci Adv 2019; 5 (02) eaat7603
- 75 Vassilieva A, Olsen MH, Peinkhofer C, Knudsen GM, Kondziella D. Automated pupillometry to detect command following in neurological patients: a proof-of-concept study. PeerJ 2019; 7: e6929
- 76 Minami Y, Mishima S, Oda J. Prediction of the level of consciousness using pupillometer measurements in patients with impaired consciousness brought to the emergency and critical care center. Acute Med Surg 2020; 7 (01) e537
- 77 Tobaldini E, Toschi-Dias E, Trimarchi PD. et al. Cardiac autonomic responses to nociceptive stimuli in patients with chronic disorders of consciousness. Clin Neurophysiol 2018; 129 (05) 1083-1089
- 78 Leo A, Naro A, Cannavò A. et al. Could autonomic system assessment be helpful in disorders of consciousness diagnosis? A neurophysiological study. Exp Brain Res 2016; 234 (08) 2189-2199
- 79 Okumura Y, Asano Y, Takenaka S. et al. Brain activation by music in patients in a vegetative or minimally conscious state following diffuse brain injury. Brain Inj 2014; 28 (07) 944-950
- 80 Carrière M, Larroque SK, Martial C. et al. An echo of consciousness: brain function during preferred music. Brain Connect 2020; 10 (07) 385-395
- 81 Magliacano A, De Bellis F, Galvao-Carmona A, Estraneo A, Trojano L. Can salient stimuli enhance responses in disorders of consciousness? A systematic review. Curr Neurol Neurosci Rep 2019; 19 (12) 98
- 82 Magee WL, Ghetti CM, Moyer A. Feasibility of the music therapy assessment tool for awareness in disorders of consciousness (MATADOC) for use with pediatric populations. Front Psychol 2015; 6: 698
- 83 Salvato G, Berlingeri M, De Maio G. et al. Autonomic responses to emotional linguistic stimuli and amplitude of low-frequency fluctuations predict outcome after severe brain injury. Neuroimage Clin 2020; 28: 102356
- 84 Lord V, Opacka-Juffry J. Electroencephalography (EEG) measures of neural connectivity in the assessment of brain responses to salient auditory stimuli in patients with disorders of consciousness. Front Psychol 2016; 7: 397
- 85 Stoll J, Chatelle C, Carter O, Koch C, Laureys S, Einhäuser W. Pupil responses allow communication in locked-in syndrome patients. Curr Biol 2013; 23 (15) R647-R648
- 86 Trojano L, Moretta P, Loreto V, Santoro L, Estraneo A. Affective saliency modifies visual tracking behavior in disorders of consciousness: a quantitative analysis. J Neurol 2013; 260 (01) 306-308
- 87 Trojano L, Moretta P, Masotta O, Loreto V, Estraneo A. Visual pursuit of one's own face in disorders of consciousness: a quantitative analysis. Brain Inj 2018; 32 (12) 1549-1555
- 88 Blume C, Lechinger J, Santhi N. et al. Significance of circadian rhythms in severely brain-injured patients: a clue to consciousness?. Neurology 2017; 88 (20) 1933-1941
- 89 Wilhelm B, Jordan M, Birbaumer N. Communication in locked-in syndrome: effects of imagery on salivary pH. Neurology 2006; 67 (03) 534-535
- 90 Frank RA, Dulay MF, Gesteland RC. Assessment of the Sniff Magnitude Test as a clinical test of olfactory function. Physiol Behav 2003; 78 (02) 195-204
Address for correspondence
Publikationsverlauf
Accepted Manuscript online:
23. Juni 2022
Artikel online veröffentlicht:
13. September 2022
© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)
Thieme Medical Publishers, Inc.
333 Seventh Avenue, 18th Floor, New York, NY 10001, USA
-
References
- 1 Maas AIR, Menon DK, Adelson PD. et al; InTBIR Participants and Investigators. Traumatic brain injury: integrated approaches to improve prevention, clinical care, and research. Lancet Neurol 2017; 16 (12) 987-1048
- 2 GBD 2016 Traumatic Brain Injury and Spinal Cord Injury Collaborators. Global, regional, and national burden of traumatic brain injury and spinal cord injury, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet Neurol 2019; 18 (01) 56-87
- 3 Elmer J, Torres C, Aufderheide TP. et al; Resuscitation Outcomes Consortium. Association of early withdrawal of life-sustaining therapy for perceived neurological prognosis with mortality after cardiac arrest. Resuscitation 2016; 102: 127-135
- 4 Turgeon AF, Lauzier F, Simard JF. et al; Canadian Critical Care Trials Group. Mortality associated with withdrawal of life-sustaining therapy for patients with severe traumatic brain injury: a Canadian multicentre cohort study. CMAJ 2011; 183 (14) 1581-1588
- 5 Peberdy MA, Kaye W, Ornato JP. et al. Cardiopulmonary resuscitation of adults in the hospital: a report of 14720 cardiac arrests from the National Registry of Cardiopulmonary Resuscitation. Resuscitation 2003; 58 (03) 297-308
- 6 Izzy S, Compton R, Carandang R, Hall W, Muehlschlegel S. Self-fulfilling prophecies through withdrawal of care: do they exist in traumatic brain injury, too?. Neurocrit Care 2013; 19 (03) 347-363
- 7 Giacino JT, Katz DI, Schiff ND. et al. Practice guideline update recommendations summary: disorders of consciousness: report of the guideline development, dissemination, and implementation subcommittee of the American Academy of Neurology; the American Congress of Rehabilitation Medicine; and the National Institute on Disability, Independent Living, and Rehabilitation Research. Arch Phys Med Rehabil 2018; 99 (09) 1699-1709
- 8 Teasdale G, Jennett B. Assessment of coma and impaired consciousness: a practical scale. Lancet 1974; 2 (7872): 81-84
- 9 Laureys S, Celesia GG, Cohadon F. et al; European Task Force on Disorders of Consciousness. Unresponsive wakefulness syndrome: a new name for the vegetative state or apallic syndrome. BMC Med 2010; 8: 68
- 10 Jennett B, Plum F. Persistent vegetative state after brain damage: a syndrome in search of a name. Lancet 1972; 1 (7753): 734-737
- 11 Multi-Society Task Force on PVS. Medical aspects of the persistent vegetative state (1). N Engl J Med 1994; 330 (21) 1499-1508
- 12 Giacino JT, Ashwal S, Childs N. et al. The minimally conscious state: definition and diagnostic criteria. Neurology 2002; 58 (03) 349-353
- 13 Bruno MA, Vanhaudenhuyse A, Thibaut A, Moonen G, Laureys S. From unresponsive wakefulness to minimally conscious PLUS and functional locked-in syndromes: recent advances in our understanding of disorders of consciousness. J Neurol 2011; 258 (07) 1373-1384
- 14 Schiff ND. Cognitive motor dissociation following severe brain injuries. JAMA Neurol 2015; 72 (12) 1413-1415
- 15 Gosseries O, Zasler ND, Laureys S. Recent advances in disorders of consciousness: focus on the diagnosis. Brain Inj 2014; 28 (09) 1141-1150
- 16 Thibaut A, Panda R, Annen J. et al. Preservation of brain activity in unresponsive patients identifies MCS star. Ann Neurol 2021; 90 (01) 89-100
- 17 Schnakers C, Giacino JT, Løvstad M. et al. Preserved covert cognition in noncommunicative patients with severe brain injury?. Neurorehabil Neural Repair 2015; 29 (04) 308-317
- 18 Schnakers C, Vanhaudenhuyse A, Giacino J. et al. Diagnostic accuracy of the vegetative and minimally conscious state: clinical consensus versus standardized neurobehavioral assessment. BMC Neurol 2009; 9 (01) 35
- 19 Stender J, Gosseries O, Bruno MA. et al. Diagnostic precision of PET imaging and functional MRI in disorders of consciousness: a clinical validation study. Lancet 2014; 384 (9942): 514-522
- 20 Wang J, Hu X, Hu Z, Sun Z, Laureys S, Di H. The misdiagnosis of prolonged disorders of consciousness by a clinical consensus compared with repeated coma-recovery scale-revised assessment. BMC Neurol 2020; 20 (01) 343
- 21 Wannez S, Heine L, Thonnard M, Gosseries O, Laureys S, Collaborators CSG. Coma Science Group Collaborators. The repetition of behavioral assessments in diagnosis of disorders of consciousness. Ann Neurol 2017; 81 (06) 883-889
- 22 Wijdicks EFM, Bamlet WR, Maramattom BV, Manno EM, McClelland RL. Validation of a new coma scale: the FOUR score. Ann Neurol 2005; 58 (04) 585-593
- 23 Aubinet C, Cassol H, Bodart O. et al. Simplified evaluation of CONsciousness disorders (SECONDs) in individuals with severe brain injury: a validation study. Ann Phys Rehabil Med 2021; 64 (05) 101432
- 24 Sanz LRD, Aubinet C, Cassol H. et al. SECONDs administration guidelines: a fast tool to assess consciousness in brain-injured patients. J Vis Exp 2021; (168) e61968
- 25 Giacino JT, Kalmar K, Whyte J. The JFK Coma Recovery Scale-Revised: measurement characteristics and diagnostic utility. Arch Phys Med Rehabil 2004; 85 (12) 2020-2029
- 26 Seel RT, Sherer M, Whyte J. et al; American Congress of Rehabilitation Medicine, Brain Injury-Interdisciplinary Special Interest Group, Disorders of Consciousness Task Force. Assessment scales for disorders of consciousness: evidence-based recommendations for clinical practice and research. Arch Phys Med Rehabil 2010; 91 (12) 1795-1813
- 27 Kondziella D, Bender A, Diserens K. et al; EAN Panel on Coma, Disorders of Consciousness. European Academy of Neurology guideline on the diagnosis of coma and other disorders of consciousness. Eur J Neurol 2020; 27 (05) 741-756
- 28 Martens G, Bodien Y, Sheau K, Christoforou A, Giacino JT. Which behaviours are first to emerge during recovery of consciousness after severe brain injury?. Ann Phys Rehabil Med 2020; 63 (04) 263-269
- 29 Wannez S, Gosseries O, Azzolini D. et al. Prevalence of coma-recovery scale-revised signs of consciousness in patients in minimally conscious state. Neuropsychol Rehabil 2018; 28 (08) 1350-1359
- 30 Carrière M, Llorens R, Navarro MD, Olaya J, Ferri J, Noé E. Behavioral signs of recovery from unresponsive wakefulness syndrome to emergence of minimally conscious state after severe brain injury. Ann Phys Rehabil Med 2022; 65 (02) 101534
- 31 Fisher CM. Reflex blepharospasm. Neurology 1963; 13: 77-78
- 32 Larumbe R, Vaamonde J, Artieda J, Zubieta JL, Obeso JA. Reflex blepharospasm associated with bilateral basal ganglia lesion. Mov Disord 1993; 8 (02) 198-200
- 33 Grandas F, López-Manzanares L, Traba A. Transient blepharospasm secondary to unilateral striatal infarction. Mov Disord 2004; 19 (09) 1100-1102
- 34 Jankovic J, Patel SC. Blepharospasm associated with brainstem lesions. Neurology 1983; 33 (09) 1237-1240
- 35 van Ommen HJ, Thibaut A, Vanhaudenhuyse A. et al. Resistance to eye opening in patients with disorders of consciousness. J Neurol 2018; 265 (06) 1376-1380
- 36 Huang Z, Stanford MS, Barratt ES. Blink rate related to impulsiveness and task demands during performance of event-related potential tasks. Pers Individ Dif 1994; 16 (04) 645-648
- 37 Chen S, Epps J. Using task-induced pupil diameter and blink rate to infer cognitive load. Hum Comput Interact 2014; 29 (04) 390-413
- 38 Magliacano A, Fiorenza S, Estraneo A, Trojano L. Eye blink rate increases as a function of cognitive load during an auditory oddball paradigm. Neurosci Lett 2020; 736: 135293
- 39 Magliacano A, Rosenfelder M, Hieber N, Bender A, Estraneo A, Trojano L. Spontaneous eye blinking as a diagnostic marker in prolonged disorders of consciousness. Sci Rep 2021; 11 (01) 22393
- 40 Annen J, Filippini MM, Bonin E. et al. Diagnostic accuracy of the CRS-R index in patients with disorders of consciousness. Brain Inj 2019; 33 (11) 1409-1412
- 41 Carrière M, Cassol H, Aubinet C. et al. Auditory localization should be considered as a sign of minimally conscious state based on multimodal findings. Brain Commun 2020; 2 (02) a195
- 42 Chennu S, Finoia P, Kamau E. et al. Spectral signatures of reorganised brain networks in disorders of consciousness. PLOS Comput Biol 2014; 10 (10) e1003887
- 43 Chennu S, Annen J, Wannez S. et al. Brain networks predict metabolism, diagnosis and prognosis at the bedside in disorders of consciousness. Brain 2017; 140 (08) 2120-2132
- 44 Lechinger J, Bothe K, Pichler G. et al. CRS-R score in disorders of consciousness is strongly related to spectral EEG at rest. J Neurol 2013; 260 (09) 2348-2356
- 45 Hermann B, Salah AB, Perlbarg V. et al. Habituation of auditory startle reflex is a new sign of minimally conscious state. Brain 2020; 143 (07) 2154-2172
- 46 Sattin D, Bruzzone MG, Ferraro S, Nigri A, Leonardi M, Guido D. Coma Research Center, Fondazione IRCCS Istituto Neurologico “Carlo Besta”, Milan, Italy. Olfactory discrimination in disorders of consciousness: a new sniff protocol. Brain Behav 2019; 9 (08) e01273
- 47 Nigri A, Ferraro S, Bruzzone MG. et al; CRC - Coma Research Centre Members. Central olfactory processing in patients with disorders of consciousness. Eur J Neurol 2016; 23 (03) 605-612
- 48 Arzi A, Rozenkrantz L, Gorodisky L. et al. Olfactory sniffing signals consciousness in unresponsive patients with brain injuries. Nature 2020; 581 (7809): 428-433
- 49 Wang J, Zhang S, Liu W. et al. Olfactory stimulation and the diagnosis of patients with disorders of consciousness: a double-blind, randomized clinical trial. Front Neurosci 2022; 16: 712891
- 50 Mackay LE, Morgan AS, Bernstein BA. Swallowing disorders in severe brain injury: risk factors affecting return to oral intake. Arch Phys Med Rehabil 1999; 80 (04) 365-371
- 51 Formisano R, Voogt RD, Buzzi MG. et al. Time interval of oral feeding recovery as a prognostic factor in severe traumatic brain injury. Brain Inj 2004; 18 (01) 103-109
- 52 Hansen TS, Engberg AW, Larsen K. Functional oral intake and time to reach unrestricted dieting for patients with traumatic brain injury. Arch Phys Med Rehabil 2008; 89 (08) 1556-1562
- 53 Mélotte E, Maudoux A, Delhalle S. et al. Is oral feeding compatible with an unresponsive wakefulness syndrome?. J Neurol 2018; 265 (04) 954-961
- 54 Mélotte E, Maudoux A, Delhalle S. et al. Swallowing in individuals with disorders of consciousness: a cohort study. Ann Phys Rehabil Med 2021; 64 (04) 101403
- 55 Chatelle C, Hauger SL, Martial C. et al. Assessment of nociception and pain in participants in an unresponsive or minimally conscious state after acquired brain injury: the relation between the Coma Recovery Scale-Revised and the Nociception Coma Scale-Revised. Arch Phys Med Rehabil 2018; 99 (09) 1755-1762
- 56 Gélinas C, Boitor M, Puntillo KA. et al. Behaviors indicative of pain in brain-injured adult patients with different levels of consciousness in the intensive care unit. J Pain Symptom Manage 2019; 57 (04) 761-773
- 57 Pignat JM, Mauron E, Jöhr J. et al. Outcome prediction of consciousness disorders in the acute stage based on a complementary motor behavioural tool. PLoS One 2016; 11 (06) e0156882
- 58 Pincherle A, Jöhr J, Chatelle C. et al. Motor behavior unmasks residual cognition in disorders of consciousness. Ann Neurol 2019; 85 (03) 443-447
- 59 Jöhr J, Halimi F, Pasquier J, Pincherle A, Schiff N, Diserens K. Recovery in cognitive motor dissociation after severe brain injury: a cohort study. PLoS One 2020; 15 (02) e0228474
- 60 Rémi J, Pfefferkorn T, Owens RL. et al. The crossed leg sign indicates a favorable outcome after severe stroke. Neurology 2011; 77 (15) 1453-1456
- 61 Mélotte E, Belorgeot M, Herr R. et al. The development and validation of the SWADOC: a study protocol for a multicenter prospective cohort study. Front Neurol 2021; 12: 662634
- 62 Bruno MA, Vanhaudenhuyse A, Schnakers C. et al. Visual fixation in the vegetative state: an observational case series PET study. BMC Neurol 2010; 10: 35
- 63 Venturella I, Crivelli D, Fossati M, Fiorillo F, Balconi M. EEG and autonomic responses to nociceptive stimulation in disorders of consciousness. J Clin Neurosci 2019; 60: 101-106
- 64 Bekinschtein TA, Coleman MR, Niklison III J, Pickard JD, Manes FF. Can electromyography objectively detect voluntary movement in disorders of consciousness?. J Neurol Neurosurg Psychiatry 2008; 79 (07) 826-828
- 65 Habbal D, Gosseries O, Noirhomme Q. et al. Volitional electromyographic responses in disorders of consciousness. Brain Inj 2014; 28 (09) 1171-1179
- 66 Bekinschtein TA, Shalom DE, Forcato C. et al. Classical conditioning in the vegetative and minimally conscious state. Nat Neurosci 2009; 12 (10) 1343-1349
- 67 Lesenfants D, Habbal D, Chatelle C, Schnakers C, Laureys S, Noirhomme Q. Electromyographic decoding of response to command in disorders of consciousness. Neurology 2016; 87 (20) 2099-2107
- 68 Riganello F, Chatelle C, Schnakers C, Laureys S. Heart rate variability as an indicator of nociceptive pain in disorders of consciousness?. J Pain Symptom Manage 2019; 57 (01) 47-56
- 69 Riganello F, Larroque SK, Bahri MA. et al. A heartbeat away from consciousness: heart rate variability entropy can discriminate disorders of consciousness and is correlated with resting-state fMRI brain connectivity of the central autonomic network. Front Neurol 2018; 9: 769
- 70 Raimondo F, Rohaut B, Demertzi A. et al. Brain-heart interactions reveal consciousness in noncommunicating patients. Ann Neurol 2017; 82 (04) 578-591
- 71 Pérez P, Madsen J, Banellis L. et al. Conscious processing of narrative stimuli synchronizes heart rate between individuals. Cell Rep 2021; 36 (11) 109692
- 72 Candia-Rivera D, Annen J, Gosseries O. et al. Neural responses to heartbeats detect residual signs of consciousness during resting state in postcomatose patients. J Neurosci 2021; 41 (24) 5251-5262
- 73 Casali AG, Gosseries O, Rosanova M. et al. A theoretically based index of consciousness independent of sensory processing and behavior. Sci Transl Med 2013; 5 (198) 198ra105
- 74 Demertzi A, Tagliazucchi E, Dehaene S. et al. Human consciousness is supported by dynamic complex patterns of brain signal coordination. Sci Adv 2019; 5 (02) eaat7603
- 75 Vassilieva A, Olsen MH, Peinkhofer C, Knudsen GM, Kondziella D. Automated pupillometry to detect command following in neurological patients: a proof-of-concept study. PeerJ 2019; 7: e6929
- 76 Minami Y, Mishima S, Oda J. Prediction of the level of consciousness using pupillometer measurements in patients with impaired consciousness brought to the emergency and critical care center. Acute Med Surg 2020; 7 (01) e537
- 77 Tobaldini E, Toschi-Dias E, Trimarchi PD. et al. Cardiac autonomic responses to nociceptive stimuli in patients with chronic disorders of consciousness. Clin Neurophysiol 2018; 129 (05) 1083-1089
- 78 Leo A, Naro A, Cannavò A. et al. Could autonomic system assessment be helpful in disorders of consciousness diagnosis? A neurophysiological study. Exp Brain Res 2016; 234 (08) 2189-2199
- 79 Okumura Y, Asano Y, Takenaka S. et al. Brain activation by music in patients in a vegetative or minimally conscious state following diffuse brain injury. Brain Inj 2014; 28 (07) 944-950
- 80 Carrière M, Larroque SK, Martial C. et al. An echo of consciousness: brain function during preferred music. Brain Connect 2020; 10 (07) 385-395
- 81 Magliacano A, De Bellis F, Galvao-Carmona A, Estraneo A, Trojano L. Can salient stimuli enhance responses in disorders of consciousness? A systematic review. Curr Neurol Neurosci Rep 2019; 19 (12) 98
- 82 Magee WL, Ghetti CM, Moyer A. Feasibility of the music therapy assessment tool for awareness in disorders of consciousness (MATADOC) for use with pediatric populations. Front Psychol 2015; 6: 698
- 83 Salvato G, Berlingeri M, De Maio G. et al. Autonomic responses to emotional linguistic stimuli and amplitude of low-frequency fluctuations predict outcome after severe brain injury. Neuroimage Clin 2020; 28: 102356
- 84 Lord V, Opacka-Juffry J. Electroencephalography (EEG) measures of neural connectivity in the assessment of brain responses to salient auditory stimuli in patients with disorders of consciousness. Front Psychol 2016; 7: 397
- 85 Stoll J, Chatelle C, Carter O, Koch C, Laureys S, Einhäuser W. Pupil responses allow communication in locked-in syndrome patients. Curr Biol 2013; 23 (15) R647-R648
- 86 Trojano L, Moretta P, Loreto V, Santoro L, Estraneo A. Affective saliency modifies visual tracking behavior in disorders of consciousness: a quantitative analysis. J Neurol 2013; 260 (01) 306-308
- 87 Trojano L, Moretta P, Masotta O, Loreto V, Estraneo A. Visual pursuit of one's own face in disorders of consciousness: a quantitative analysis. Brain Inj 2018; 32 (12) 1549-1555
- 88 Blume C, Lechinger J, Santhi N. et al. Significance of circadian rhythms in severely brain-injured patients: a clue to consciousness?. Neurology 2017; 88 (20) 1933-1941
- 89 Wilhelm B, Jordan M, Birbaumer N. Communication in locked-in syndrome: effects of imagery on salivary pH. Neurology 2006; 67 (03) 534-535
- 90 Frank RA, Dulay MF, Gesteland RC. Assessment of the Sniff Magnitude Test as a clinical test of olfactory function. Physiol Behav 2003; 78 (02) 195-204
![](https://www.thieme-connect.de/media/sin/202203/thumbnails/10-1055-a-1883-0861-i220015-1.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
![](https://www.thieme-connect.de/media/sin/202203/thumbnails/10-1055-a-1883-0861-i220015-2.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
![](https://www.thieme-connect.de/media/sin/202203/thumbnails/10-1055-a-1883-0861-i220015-3.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)