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DOI: 10.1590/0004-282X20200025
Neuroimaging investigation of memory changes in migraine: a systematic review
Investigação por neuroimagem das alterações de memória na enxaqueca: uma revisão sistemáticaABSTRACT
Background: Individuals with migraine usually complain about lower memory performance. Diagnostic methods such as neuroimaging may help in the understanding of possible morphologic and functional changes related to the memory of those individuals. Therefore, the aim of this review is to analyze the available literature on neuroimaging changes related to memory processing in migraine. Methods: We searched the following databases: Pubmed/Medline, Psycinfo, Science Direct, Cochrane and Web of Science. We used articles without restriction of year of publication. The combination of descriptors used for this systematic review of literature were Neuroimaging OR Imaging OR Brain AND Migraine OR Chronic Migraine AND Memory. Results: Of the 306 articles found, nine were selected and all used magnetic resonance imaging (MRI). The studies used structural and functional MRI techniques with a predominance of 3 Tesla equipment and T1-weighted images. According to the results obtained reported by these studies, migraine would alter the activity of memory-related structures, such as the hippocampus, insula and frontal, parietal and temporal cortices, thereby suggesting a possible mechanism by which migraine would influence memory, especially in relation to the memory of pain. Conclusions: Migraine is associated to global dysfunction of multisensory integration and memory processing. This condition changes the activity of structures in various regions related to memory of pain, prospective memory, as well as in short- and long-term verbal and visuospatial memories. However, it is necessary to perform studies with larger samples in association with cognitive tests, and without the interference of medications to verify possible alterations and to draw more concrete conclusions.
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RESUMO
Introdução: Indivíduos com enxaqueca geralmente se queixam de menor desempenho de memória. Métodos de diagnóstico como a neuroimagem podem auxiliar no entendimento de possíveis alterações morfológicas e funcionais relacionadas à memória desses indivíduos. Portanto, o objetivo desta revisão é analisar a literatura disponível sobre alterações de neuroimagem relacionadas a alterações de memória na enxaqueca. Métodos: Pesquisou-se nas seguintes bases de dados: PubMed/MEDLINE, Psycinfo, Science Direct, Cochrane e Web of Science. Foram utilizados artigos sem restrição de ano de publicação. A combinação dos descritores utilizados para esta revisão sistemática da literatura foram Neuroimaging OR Imaging OR Brain AND Migraine OR Chronic Migraine AND Memory. Resultados: Dos 306 artigos encontrados, nove foram selecionados e todos utilizaram ressonância magnética (RM). Os estudos utilizaram as técnicas de RM estrutural e funcional com predomínio de equipamentos de 3 Tesla e imagens ponderadas em T1. De acordo com os resultados obtidos nos estudos, a enxaqueca alteraria a atividade de estruturas relacionadas à memória, como o hipocampo, a ínsula e os córtices frontal, parietal e temporal, sugerindo um possível mecanismo pelo qual a enxaqueca influenciaria a memória, especialmente em relação à memória da dor. Conclusões: A enxaqueca está associada à disfunção global da integração multissensorial e processamento de memória. Essa condição altera a atividade de estruturas em várias regiões relacionadas à memória da dor, à memória prospectiva, bem como às memórias verbais e visuais-espaciais de curto e longo prazo. No entanto, é necessário realizar estudos com amostras maiores em associação com testes cognitivos, e sem a interferência de medicamentos para verificar possíveis alterações e tecer conclusões mais concretas.
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Keywords:
Headache - Diagnostic imaging - Brain - Cognition - Health evaluation - Magnetic resonance imagingPalavras-chave:
Cefaleia - Diagnóstico por imagem - Encéfalo - Cognição - Avaliação em Saúde - Imagem por ressonância magnéticaAccording to the World Health Organization (WHO) data released in 2016, 50–75% of individuals aged 18–65 years had at least one headache crisis per year in the world, 30% of them reporting migraine attacks[1]. Individuals with migraine have mild cognitive impairment, mainly regarding attention; visuospatial and verbal memories; processing speed; and executive functions[2],[3],[4]. Although the worst performance in cognitive tests occurs during migraine attacks, cognitive changes are also present in the interictal period[2],[3].
Such cognitive dysfunctions would be the consequence of the pain processing and not only exclusive for migraine, but also for other types of pain[5],[6],[7]. Because of the overlapping that exists between the neuroanatomical and neurochemical substrates implicated in pain and cognition, the pain processing would compete with the cognitive functioning, thus affecting the memory performance[7],[8],[9],[10]. In this way, pain affects both coding and recovery of common explicit memory[11].
Cognitive impairment is influenced by the frequency and duration of migraine crises[12], that is, having a high frequency of attacks (for example, 4–5 times/week), significantly decreases cognitive performance. This notion is supported by clinical evidence, which shows that individuals with higher frequency of attacks and with a prolonged history of migraine are more prone to present cognitive impairment[4].
For example, in a recent multicenter study conducted in Brazil, which analyzed cognitive performance of 1,239 migraine sufferers (79.3% with episodic and 20.7% with chronic migraine) measured by several cognitive tests, including the Consortium to Establish the Registry for Alzheimer’s Disease word list memory test (CERAD-WLMT), Semantic Fluency Test (SFT), and Trail Making Test version B (TMTB). The authors concluded that individuals suffering from migraine, especially migraine without aura, presented worse cognitive performance when compared to controls[13].
These results strongly suggest the existence of an association between migraine suffering and a poor cognitive performance, which would be caused by a plethora of disturbances on specific brain areas related with pain coding/integration/sensation and memory formation. However, the brain areas involved in this “association” still need better characterization. On this regard, neuroimaging techniques have proven to be powerful and useful methods to identify brain activity patterns and anatomical relations with behavioral outputs.
Concerning memory function, this can be divided into several types, presenting multiple brain systems[14]. From this, different brain regions process different types of memory[15]. For example, the hippocampus and striatum process different types of memory, whereas the amygdala modulates its consolidation by regulating memory processing in these regions[16]. Despite the existence of several systems for different types of memory, such systems interact with one another in some situations[14].
Thus, memory can be classified as to retention time: if it lasts fractions of seconds to a few seconds, it is called immediate memory; if it lasts minutes to hours, it is called short-term memory; if it is consolidated, it is called long-term memory. In addition, memory can also be subdivided according to its nature: declarative or explicit memory; non-declarative or implicit memory; and working memory[17]. The explicit memory type refers to facts records (semantic memory) and events (episodic memory) that are consciously accessible, such as: when?, where? and who?. On the other hand, implicit memory is characterized by perceptual representation, procedures (motor skills not consciously expressed, such as driving a car), associative (associates two or more stimuli; or one stimulus to a certain response), non-associative (attenuates a response or sensitizes it by repeating the same stimulus). Working memory, in turn, is involved with reasoning and planning[17]. Among these types of memory, the implicit associative memory has been identified as a contributor to the development of chronic pain, especially in terms of pain memory (painful stimuli generate maladaptative neuroplastic alterations, forming long-term memory and facilitating pain evocation)[11],[18].
Recalling pain is important for assessing, classifying, and treating the condition[19]. However, remembering painful events may influence future pain-related experiences by altering related expectations, emotions, and cognitive processes[20]. Therefore, it has been suggested that neural centers involved in sensory and/or affective property of pain sensation overlap memory centers, thus sharing common neural pathways. The anterior cingulate cortex, insular cortex and the amygdala are examples of regions related to pain and memory[21]. This implies that 1) there is efferent/afferent communication between different brain areas related to pain, emotion and cognitive behavior; or 2) different brain regions share common functions. These questions start to be answered using neuroimaging techniques.
Memory impairment of individuals suffering from migraine can be explained, for example, by changes in the activity pattern of the basal ganglia and hippocampus as seen with neuroimaging and specific cognitive tests[22],[23]. Several neuroimaging studies including magnetic resonance imaging and positron emission tomography demonstrate that different brain areas are altered in the pathophysiology of migraine[24], explaining that associations with the cortical spreading depression hypothesis have been postulated. This theory points out that the cortical spreading depression is a slowly propagating wave of depolarization followed by suppression of brain activity, which promotes expressive alterations in neuronal, glial and vascular functions[24]. Among other structures, this phenomenon would directly affect the hippocampal functioning; and, indirectly, through the entorhinal cortex, altering the signal processing in the hippocampus[25],[26],[27].
In this scenario, neuroimaging studies are useful in observing general structural and functional changes in the brain (including the repercussion of the cortical spreading depression)[28],[29],[30],[31]. Among the techniques, MRI is one of the most used in diagnoses[32]. Brain imaging studies have revealed that patients suffering from migraine show alterations in diffuse cerebral regions involved in the pain processing in ictal and interictal periods of the attacks. In addition, changes in cerebral connectivity among regions mediating sensory functions in the affective and cognitive components of pain in these individuals have been observed[31].
Despite this context, there is still no consensus regarding the possible mechanisms related to memory-processing alterations in individuals who suffer from migraine[5]. Therefore, we hypothesize that diagnostic methods, such as neuroimaging, may help to understand the possible morphofunctional changes related to the memories of individuals suffering from migraine. Thus, we aimed to analyze the neuroimaging changes related to memory function in migraine patients published in the scientific literature.
METHODS
This study is a Systematic Review registered in the International prospective register of systematic reviews - PROSPERO (CRD42018096857). This study was developed according to the Cochrane Handbook[33] and the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA) statement[34].
The review was developed during May and June 2018, with the following guiding question: Are there neuroimaging changes in regions responsible for the memory of individuals suffering from migraine? To answer this question, the acronym PECOS (Patient, Exposure, Control, Outcome, Study) was used to guide the review (P: individuals diagnosed with migraine, E: Neuroimaging techniques, C: individuals who do not suffer from migraine, O: Neuroimaging changes in structures related to memory, S: Cross-sectional studies).
The studies were searched in the following databases: PubMed/MEDLINE, Psycinfo, Science Direct, Cochrane and Web of Science. Articles were selected without restrictions as to the year of publication or language. The combination of descriptors used for this systematic review of literature were: Neuroimaging OR Imaging OR Brain AND Migraine OR Chronic Migraine AND Memory.
The inclusion criteria considered were:
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original neuroimaging articles that addressed structural or functional changes related directly or indirectly to the memory of individuals suffering from migraine;
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studies with adults aged between 18 and 65 years, diagnosed with episodic or chronic migraine;
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presence of at least one control group of healthy individuals.
Articles were excluded if they were:
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incomplete or unpublished;
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animal studies;
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research protocol articles. An effort to include all available studies was made, including contact with authors.
The search and selection of articles according to the eligibility criteria was done independently by two evaluators (MD and BS). In case of disagreement, they discussed and reached a consensus. When the disagreement between the two initial evaluators remained, a third evaluator (WB) decided whether to include the article in question.
The flowchart used shows the selection process in detail ([Figure 1]). We used PRISMA method to select the articles that were independently evaluated according to Strengthening the Reporting of Observational Studies in Epidemiology Statement (STROBE) by means of the evaluators (MD and BS).
![](https://www.thieme-connect.de/media/10.1055-s-00054595/202006/thumbnails/10-1590-0004-282x20200025-i20200025-1.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
Since the objectives, methods, and variables differed among the selected studies, it was not possible to compare them quantitatively. Therefore, some parameters including age, sex, diagnosis, pain intensity, frequency of attacks, medication, imaging techniques, tests performed, and main results were extracted and expressed in tables for qualitative data analysis.
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RESULTS
The search culminated in 306 studies, of which nine articles were selected for qualitative synthesis. The included studies presented relevant quality according to STROBE, reaching the mean score of 16.7. In other words, the studies presented a mean of 16 items out of the 22 topics that form STROBE. Regarding the studies evaluation, item-by-item of STROBE, a rate of 72.2% of agreements was reached between reviewers, representing a good validity among evaluators ([Figure 2]).
![](https://www.thieme-connect.de/media/10.1055-s-00054595/202006/thumbnails/10-1590-0004-282x20200025-i20200025-2.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
Regarding the characterization of individuals ([Table 1]), the sample totaled 201 individuals diagnosed with migraine and 182 individuals as the control group. Among the individuals suffering from migraine, women predominated (n=194), with middle-aged adults presenting episodic migraine, moderate to severe pain intensity, predominance of migraine without aura, and mean duration of the condition, more than 10 years was found in most studies. Most studies also requested a pause in the migraine medication to prevent interferences during data collection.
•Authors •(year) |
Subjects |
Sex |
Age |
Migraine type |
Migraine duration |
Pain intensity |
Attacks frequency (days/month) |
Medication |
Cognition |
Anxiety |
Depression |
---|---|---|---|---|---|---|---|---|---|---|---|
Coppola et al. (2015)[38] |
39 (E:24; C:15) |
•E: 19F, 5M; •C: 11F, 4M |
E: interictal (31.6±7.6), Ictal (33.3±12.1); C: 28.6±4.0) |
Migraine without aura (24) |
Interictal: 16.5±6.6 years; Ictal: 13.1±9.9 years |
VAS Interictal: 7.5±0.8; Ictal: 7.4±0.6 |
Interictal: 3.4±2.4; Ictal: 4.0±3.4 |
Abortive medications, except in the neuroimaging session. |
X |
X |
X |
Maleki et al. (2013)[42] |
30 (E: 20; C: 10) |
•E: 14F, 6M; •C:7F, 3M |
E: LF (40.2±3.6); HF (43.9±3.4); C: 39.1±3.2) |
Episodic LF migraine (1-2 days/month): 10 subjects; HF (8-14 days/month): 10 subjects |
X |
NRS: LF (7.7±2.4); HF: (7.2±1.8) |
LF: 1.7±0.5; HF: 9.3±2.6 |
Triptans |
X |
X |
BDI: LF (2.1±2.5); HF (1.9±2.4) |
Schwedt et al. (2014)[36] |
51 (E: 24; C: 27) |
•E: 19F, 5M; •C: 22F, 5M |
E: 36.2±11.3; C: 33.7±12.5 |
Migraine with aura (8) and without aura (16) |
15.0±9.3 years. |
X |
6.5±3.0 |
No prophylactic medication for at least eight weeks. No overuse of abortive medicines for migraine. |
X |
STAI: State - 25.4±25.7; Trait – 29.3±31.0 |
BDI: 2.8±4.7 |
Tso et al. (2015)[39] |
30 (E:15; C: 15) |
•E: 12F, 3M; •C: 12F, 3M |
E: 33.1±9.4; C: 32.6±8.5 |
Migraine without aura (15) |
X |
X |
6 (2-12) |
No preventive medication for migraine. No individual used analgesics >8 days/month |
X |
X |
X |
Wang et al. (2016)[35] |
80 (E: 40; C: 40)* |
•E: 23 F, 17M; •C: 22F, 18M |
E: 42.2±15.4; C: 43.5±16.2 |
Migraine with aura (24) and without aura (16) |
4.7 ±2.5 months |
X |
X |
X |
↓ MMSE, ROCF, TMT, VFT |
Exclusion criteria, but not evaluated |
Exclusion criteria, but not evaluated |
Hougaard et al. (2014)[40] |
40 (E: 20; C: 20) |
•E: 15F, 5M; •C: 15F, 5M |
E: 35.0 (20.7-55.0); C: 35.1(20.6-54.7) |
Migraine with aura (20) |
20.8±11.3 years |
X |
2.3±2.0 (1-8) |
No daily or prophylactic medication for migraine |
X |
X |
X |
Yang et al. (2018)[41] |
41 (E: 22; C: 19)* |
•E: 19F, 3M; •C: 17F, 2M |
E: 32.4±7.7; C: 33.5±9.1 |
Migraine with aura (11) and without aura (11) |
11.9±7.4 years |
X |
6.1±5.8 |
Pause in prophylactic medication for migraine (B-blocker or flunarizine) for at least 2 days before imaging |
X |
HADS: 12.5±7.1 |
BDI: 8.4±5.9 |
Liu et al. (2013)[37] |
52 (E: 26; C: 26) |
•E: 26F, 0M; •C: 26F, 0M |
E: 34.6±4.5; C: 33.3±3.04 |
Migraine without aura (26) |
12.9±3.4 years |
NRS: 4.1±0.8 |
5.2±2.9 |
There was no restriction of medication, and no details were given about the medications used |
X |
X |
X |
Eck et al. (2011)[43] |
20 (E: 10; C: 10) |
•E: 9F, 1M; •C: 9F, 1M |
E: 37.9±4.7; C: 37.8±4.8 |
Migraine with aura (4) and without aura (6) |
X |
X |
X |
X |
X |
X |
X |
Source: Research Data. E: experimental group; C: control group; F: female; M: male; LF: low frequency of attacks; HF: high frequency of attacks; X: not evaluated or unspecified; VAS: Visual Analogue Scale; NRS: Numerical Rating Scale; MMSE: Mini Mental State Examination; ROCF: Rey-Osterrieth Complex Figure Test; TMT: Trail Making Test; VFT: Verbal Fluency Test; STAI: State-Trait Anxiety Inventory; HADS: Hospital Anxiety and Depression Scale; BDI: Beck Depression Inventory. *Only the migraine and control groups were considered.
Also in most of them, the link between migraine and cognitive performance was not analyzed. However, only one article has the goal of verifying cognitive alterations in individuals suffering from migraine[35]. On the other hand, some articles have made indirect associations in their discussion of neuroimaging findings with structures involved in cognitive functions, such as memory of pain [36],[37]. Moreover, only five studies considered the ictal period of migraine[35],[38],[39],[40],[41].
The types of memory addressed in the studies were visuospatial[40], memory process in general[35],[38],[39],[41],[42], and memory of pain (painful stimuli generate maladaptative neuroplastic alterations, forming long-term memory and facilitating pain evocation)[36],[37],[43]. The neuroimaging techniques that prevailed among the studies were structural MRI ([Table 2]) and functional MRI ([Table 3]) with the predominance of 3 Tesla equipment[35],[36],[37],[38],[39],[40],[41],[42] and T1-weighted images[36],[37],[38],[39],[40],[41],[42],[43].
•Authors •(year) |
Memory type |
Ictal/interictal condition |
Neuroimaging instruments |
Task/Test at imaging |
Results |
Consequence to memory |
---|---|---|---|---|---|---|
Coppola et al. (2015)[38] |
Not specified |
Ictal (10) and Interictal (14) |
MRI, 3T, weighted in T1. They did not characterize the pulse sequence. |
Not applicable |
•Reduction of gray matter density in the mass of the right inferior parietal lobe, right inferior temporal gyrus, right superior temporal gyrus and left temporal pole in individuals in the interictal phase. •Increased gray matter density in the right lenticular nucleus, bilateral insula and left temporal pole in the ictal phase. |
Dysfunction in memory processing by affecting regions, such as the inferior parietal lobe and upper temporal gyrus, areas that interconnect visual and auditory processing, perception and memory. |
Wang et al. (2016)[35] |
Not specified |
Interictal |
MRI, 3T, Flair weighted with spin echo pulse sequence, and T2. |
Not applicable |
More lesions in the deep white matter in the brain, in the lateral periphery of the ventricles and in the total white matter of the brain when compared to the control group. |
Cognitive impairment, including memory, related to lesions of the brain white matter. |
Liu et al. (2013)[37] |
Memory of pain |
X |
Diffusion tensor imaging tractography, MRI, 3T, gradient echo sequence. |
Not applicable |
Changes in white matter; increase of the clustering coefficient but decrease in the modularity of the networks; altered connection strength on insula, amygdala, cingulate gyrus, hippocampus, parahippocampal gyrus, striatum, prefrontal dorsolateral cortex, pre-central gyrus, inferior parietal gyrus, occipital cortices and temporal cortices. |
Neurological reorganization and degeneration in terms of learning and memory, especially related to pain. |
Source: Research Data. X: Not specified, MRI: Magnetic Resonance Imaging.
•Authors •(year) |
Memory type |
Ictal/interictal condition |
Neuroimaging instruments |
Task/Test at imaging |
Results |
Consequence to memory |
---|---|---|---|---|---|---|
Maleki et al. (2013)[42] |
Not specified |
X |
fMRI, 3T, T1 weighted, echo gradient sequence. |
Painful thermal stimulation |
Decreased functional connectivity with the hippocampus in the contralateral supramarginal gyrus, bilateral temporal pole, contralateral orbitofrontal, bilateral nucleus accumbens, bilateral anterior insula, bilateral medial frontal, contralateral paracingulate in individuals having a high frequency of migraine when compared to individuals having a low frequency of attacks. |
Reduced connectivity of the hippocampus to other brain areas indicates possible memory-processing failure. |
Schwedt et al. (2014)[36] |
Memory of pain |
X |
fMRI, 3T, T1 weighted with echo gradient sequence and T2 weighted with spin echo sequence. |
Painful thermal stimulation |
Individuals having migraine had greater activation induced by pain in the lentiform nucleus, fusiform gyrus, subthalamic nucleus, hippocampus, mid-cingulate cortex, premotor, somatosensory and dorsolateral prefrontal cortex and less activation in pre-central gyrus and superior temporal gyrus. |
Most regions with increased pain induced activation participate in cognitive aspects of pain perception, such as attention to pain and memory related to pain. |
Tso et al. (2015)[39] |
Not specified |
Interictal (out of 72 hours before or after an attack). |
fMRI, 3T, T2* weighted with planar echo sequence. Coregistration was performed with T1 weighted and echo gradient sequence. |
Resting state |
Higher connectivity between the calcarine cortex, the Heschl gyrus and the right dorsal anterior insula. The anterior right ventral insula presented increased connectivity with the left ventral medial part in patients with migraine, as well as with the left temporal lobe and the amygdala. |
Alteration in the connectivity of the dorsal anterior insula would lead to a modification in the function of organizing and sustaining cognitive processing. |
Hougaard et al. (2014)[40] |
Visuospatial memory |
Interictal |
fMRI-BOLD, 3T, T1 weighted with echo gradient sequence. |
Visual Stimulation |
Increased signs in the inferior frontal gyrus, superior parietal lobe; inferior parietal lobe and intraparietal sulcus, as well as the occipital cortex areas. |
Impairment of the functional network involved in oculomotor control, orientation of movement, perception of movement, visual attention, and visuospatial memory. |
Yang et al. (2018)[41] |
Not specified |
Interictal – individuals without symptoms of migraine two days before the application of the imaging technique. |
fMRI-BOLD, 3T. Anatomical scan T1 weighted with echo gradient sequence. Spontaneous activity measured in T2 weighted with echo gradient sequence. |
Resting state |
Patients having migraine presented several weaker neural connections than control. The most affected functional brain networks were dorsal attention, salience, default mode, visual and fronto-parietal modes. |
Changes in the dorsal attention network may manifest as memory deficits during and between migraine attacks. |
Eck et al. (2011)[43] |
Memory of pain |
X |
•fMRI, 1.5T, weighted in T1 and T2. •They did not characterize the pulse sequence. |
Verbal descriptors of pain. |
Adjectives related to pain provoked increased activations in the left orbitofrontal cortex and anterior insula during imaging, and in the right secondary somatosensory cortex and posterior insula during distraction when compared to negative adjectives. |
The involvement of ventrolateral, dorsolateral and rostrolateral and prefrontal structures may be related to the demands of imagination, including processes of working memory and long-term memory. |
Source: research data. X: not specified; MRI: structural magnetic resonance imaging; fMRI: functional magnetic resonance imaging; T = Tesla; BOLD: Blood-oxygen-level dependent imaging. *Only the migraine and control groups were considered.
For the selected articles, neuroimaging studies focused on the effects under some physiological conditions, including resting state[39],[41], painful thermal stimulation[36],[42], visual stimulation[40], and verbal descriptors of pain[43]. Interestingly, those studies show that migraine changes the activity of structures related to memory processing and consolidation, such as the hippocampus[36],[37],[42], insula[38],[39] and regions of the frontal[36],[40],[41],[42],[43], parietal[38],[37],[40],[41] and temporal cortex[36],[37],[38],[39],[42], suggesting an anatomical and/or functional association between migraine and memory.
Some studies decided to evaluate the individuals interictally (out of the migraine attack)[35],[38],[39],[40],[41] or ictally (during the migraine attack)[38], and others did not specify the moment in which neuroimaging took place[36],[37],[42],[43]. In the ictal evaluation, increased gray matter density in the right lenticular nucleus, bilateral insula and left temporal pole were observed[38]. In the interictal one, a reduction in gray matter density in the right inferior parietal lobe, right inferior temporal gyrus, right superior temporal gyrus and left temporal pole were observed[38]. The deep white matter of migraineurs presented more lesions in the lateral periphery of the ventricles and in the total white matter of the brain[35].
Regarding functional imaging interictally, higher connectivity between the calcarine cortex, the Heschl gyrus and the right dorsal anterior insula was seen. The anterior right ventral insula presented increased connectivity with the left ventral medial part in individuals suffering from migraine, as well as with the left temporal lobe and the amygdala[39]. There were increased signs in the inferior frontal gyrus, superior parietal lobe; inferior parietal lobe and intraparietal sulcus, as well as the occipital cortex areas[40]. Moreover, individuals suffering from migraine presented several weaker neural connections, such as in the networks of dorsal attention, salience, default, visual and fronto-parietal modes[41].
In the studies that did not specify the moment of image acquisition, changes in white matter, as well as decreased connection strength on insula, amygdala, cingulate gyrus, hippocampus, parahippocampal gyrus, striatum, orbitofrontal and prefrontal dorsolateral cortices, pre-central gyrus, inferior parietal gyrus, occipital and temporal cortices were observed[37],[42]. Individuals suffering from migraine had greater activation induced by pain in the lentiform nucleus, fusiform gyrus, subthalamic nucleus, hippocampus, mid-cingulate cortex, premotor, somatosensory and dorsolateral prefrontal cortex; and less activation in pre-central gyrus and superior temporal gyrus[36]. Adjectives related to pain provoked increased activations in the left orbitofrontal cortex and anterior insula during imaging, and in the right secondary somatosensory cortex and posterior insula during distraction when compared to negative adjectives[43].
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DISCUSSION
Neuroimaging findings suggest possible regions (hippocampus, insula, frontal, parietal, and temporal cortex) by which memory would be altered in individuals who suffer from migraine. These results support what was verified in studies that used cognitive tests and found alteration in prospective memory[8], as well as in short- and long-term verbal[9],[10] and visuo-spatial[10] memories. Cerebral alterations, seen in imaging techniques, are verified in the ictal and interictal state, demonstrating a possible “brain signature” attributed by migraine. This brain signature was verified by a study, which could differentiate individuals suffering from migraine from healthy ones, using resting-state fMRI. Migraineurs with longer disease duration were more accurately classified, suggesting that migraine generates maladaptative neuroplastic alterations[31].
The major structures involved in acute pain processing are the primary and secondary somatosensory cortices, prefrontal, insular, anterior cingulate, and the thalamus[44]. Other less common areas are the basal ganglia, hippocampus, amygdala, cerebellum, and areas of temporal and parietal cortices. The activation of these structures depends on several factors, such as pain chronicity and the type of stimuli[44],[45]. Therefore, memory dysfunctions would be the consequence of pain processing in the brain, because neural centers involved in sensory and/or affective property of pain sensation overlap memory centers[5],[6],[7].
With respect to memory recovery, the activated brain regions are the medial and ventrolateral prefrontal cortex, the lateral and medial temporal cortex, retrosplenial cortex, posterior cingulate cortex, temporoparietal junction and the cerebellum. Other less common areas are the dorsolateral prefrontal cortex, medial superior and lateral superior cortex, anterior cingulate, medial orbitofrontal cortex, temporopolar and occipital cortex, thalamus, and amygdala, among others[46]. Thus, it is observed that a significant number of structures are common to memory and pain networks ([Figure 3]).
![](https://www.thieme-connect.de/media/10.1055-s-00054595/202006/thumbnails/10-1590-0004-282x20200025-i20200025-3.jpg)
![Zoom Image](/products/assets/desktop/css/img/icon-figure-zoom.png)
Likewise, this interaction occurs in the process of pain memory, which is defended by a hypothesis of pain, learning and memory being intimately related. Fear to experience severe headache may stimulate memory and/or emotional network, which will then ultimately stimulate the pain network. Once facilitated, the pain network increases the frequency of migraine attacks by lowering the pain threshold and contributing to the chronification process. When these maladaptative neuroplastic alterations are implemented the condition turns into chronic migraine[45].
The decreased functional connectivity[42] and altered connection strength[37] to the hippocampus, as well as its greater activation induced by pain[37] lead to impairments in memory, since the hippocampus is classically known to be involved in memory consolidation and in learned behavior[46]. On the other hand, the insula integrates several systems, such as the nociceptive, visceral, limbic, and the prefrontal cortex[47]. In addition, the anterior dorsal insula is one of the responsible areas for organizing and sustaining cognitive processing[48], making it a possible point of study to investigate memory changes in individuals suffering from migraine.
Components of the limbic system, such as prefrontal, cingulate, and insular cortices are activated in the affective processing of pain and memory. Moreover, limbic system components, such as the amygdala, have been related to persistent pain[45]. In terms of pain memory, the insula is activated when painful events are remembered and/or when pain is imagined. This emphasizes the notion that the pain share interoceptive and affective features. On the other hand, the parietal, temporal and frontal cortices, as well as subcortical structures (the amygdala and hippocampus, for example) would be related to explicit memory, also involved with pain memory[11].
Moreover, the parietal and temporal lobes are associative regions acting in memory formation from auditory and visual perception and processing[49]. Alterations in these structures in migraine would lead to an overall dysfunction in sensory integration and memory processes[50], which composes another pathway for studies in the area.
The presence of pain with a certain frequency can trigger maladaptive neuroplasticity of the central nervous system, reinforcing the process of painful chronification. Long-lasting pain causes modifications in brain areas cited in the review, an alteration that is worsened repeatedly during every migraine attack, maintaining or reinforcing the cognition/emotion of the pain experience. Thus, the brain can adapt itself to a state of frequent cortical overstimulation related to pain[22],[37].
These neuroplastic changes would be triggered by neurophysiological alterations resulting from the combination of learning, memory and pain processes[39]. In this scenario, metaplasticity occurs through previous or ongoing experiences that provoke changes in the sensory neocortex, reducing the induction of long-term potentiation (LTP) and increasing long-term depression (LTD) in synaptic responses[51]. LTP and LTD are established mechanisms in the learning and memory processes in the hippocampus and neocortex, and in the understanding of complex cognitive-emotional behaviors[52].
As previously discussed in the studies, the prefrontal cortex contributes to memory processes[36],[37], thus some of its regions have been targeted for treating pain, such as the dorsolateral prefrontal cortex (DLPFC). Studies with Repetitive Transcranial Magnetic Stimulation (rTMS) observed analgesic effects of DLPFC on migraine. It would happen due to the top-down inhibition mode of DLPFC on the ascending midbrain-thalamic-cingulate pathway[53]. Moreover, benefits of rTMS in DLPFC are also seen for memory[54].
Similarly, other therapeutic strategies, such as Mindfulness[55],[56], physical exercise[57],[58] and Transcranial Direct Current Stimulation on DLPFC optimize memory and promote analgesic effects[59],[60]. However, as far as is known, there are no studies that simultaneously evaluate the repercussions of these therapies on memory and pain in individuals suffering from migraine.
Although these structures are mentioned in most of the selected studies, the relations between memory and migraine in most studies were assessed in an indirect way due to the scarcity of studies of neuroimaging directed to the memory of individuals suffering from migraine, which is one limitation of the present review. In addition, we did not find specify instruments to evaluate the quality of neuroimaging studies, demonstrating the importance of creating and validating such instruments for use in reviews.
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CONCLUSION
We present the need for neuroimaging studies in individuals who have episodic and chronic migraine directed to memory by using appropriate cognitive tests for various memory types. There is a need for studies with larger samples and which correlate neuroimaging findings with clinical variables, such as pain intensity, frequency of attacks, use of medications and symptoms of anxiety and depression.
Despite this, this review achieve its goal of presenting morphological and functional changes in memory-related structures in individuals suffering from migraine. The results are expected to encourage researchers in developing new lines of thought about the etiology of the problem by instigating neuroimaging research for the study of memory processes in individuals suffering from migraine.
It may be suggested that the migrainous brain has some peculiarities when compared to the non-migrainous brain, being associated to global dysfunction of multisensory integration and memory processing. Migraine changes the activity of structures in various regions related to memory processing and consolidation, such as the hippocampus, insula, and regions of the frontal, parietal and temporal cortices, suggesting an anatomical and functional association between migraine and memory. However, it is necessary to carry out further studies with larger samples in association with specific cognitive tests, and without the interference of medications. Thus, once there are more concrete conclusions, there will be the possibility of the use of neuroimaging as an alternative to mark memory alterations and the early process of migraine chronification.
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Conflict of interest:
The authors declare there is no conflict of interest.
ACKNOWLEDGEMENTS
We thank Professor Paula Rejane Beserra Diniz, PhD of Universidade Federal de Pernambuco for her collaboration in discussing the technical aspects related to neuroimaging techniques.
Support:
Research received no specific grant from any funding agency in the public, commercial, or non-profit sectors.
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Publication History
Received: 19 August 2019
Received: 10 February 2020
Accepted: 17 February 2020
Article published online:
13 June 2023
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References
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