Abnormal Brain Activity Changes in Patients with Migraine: A Short-Term Longitudinal Study

Zhao, Ling; Liu, Jixin; Yan, Xuemei; Dun, Wanghuan; Yang, Jing; Huang, Luqi; Yuan, Kai; Yu, Dahua; Qin, Wei; Tian, Jie; Liang, Fanrong

doi:10.3988/jcn.2014.10.3.229

Cited by 33 publications

(39 citation statements)

References 26 publications

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“…These findings support the idea of dynamically changing functional connectivity during migraine cycle, similarly to an earlier longitudinal resting state fMRI study [6]. …”

Section: Discussionsupporting

confidence: 89%

Spontaneous migraine attack causes alterations in default mode network connectivity: a resting-state fMRI case report

et al. 2017

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BackgroundAlthough migraine is one of the most investigated neurologic disorders, we do not have a perfect neuroimaging biomarker for its pathophysiology. One option to improve our knowledge is to study resting-state functional connectivity in and out of headache pain. However, our understanding of the functional connectivity changes during spontaneous migraine attack is partial and incomplete.Case presentationUsing resting-state functional magnetic resonance imaging we assessed a 24-year old woman affected by migraine without aura at two different times: during a spontaneous migraine attack and in interictal phase. Seed-to-voxel whole brain analysis was carried out using the posterior cingulate cortex as a seed, representing the default mode network (DMN). Our results showed decreased intrinsic connectivity within core regions of the DMN with an exception of a subsystem including the dorsal medial and superior frontal gyri, and the mid-temporal gyrus which is responsible for pain interpretation and control. In addition, increased connectivity between the DMN and pain and specific migraine-related areas, such as the pons and hypothalamus, developed during the spontaneous migraine attack.ConclusionOur preliminary results provide further support for the hypothesis that alterations of the DMN functional connectivity during migraine headache may lead to maladaptive top-down modulation of migraine pain-related areas which might be a specific biomarker for migraine.

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“…These findings support the idea of dynamically changing functional connectivity during migraine cycle, similarly to an earlier longitudinal resting state fMRI study [6]. …”

Section: Discussionsupporting

confidence: 89%

Spontaneous migraine attack causes alterations in default mode network connectivity: a resting-state fMRI case report

et al. 2017

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“…If one presumes that brain structure and function change as a result of recurrent migraine attacks, this finding is easy to accept—in general, the longer a person has had migraine, the more attacks they have had, and the greater the brain changes. In support of the notion that recurrent migraine attacks alter brain function, a single longitudinal study of 19 migraine patients who had increasing headache activity over 6 weeks demonstrated correlations between changes in functional connectivity and the worsening clinical pattern . However, it is not definitively known if brain structure changes are a result of recurrent migraine attacks or if the extent of brain structure abnormality correlates with age of onset for migraine—eg, the more abnormal brain structure is, the younger age of onset for migraine, and/or the younger brain is more susceptible to the effects of migraine.…”

Section: Discussionmentioning

confidence: 99%

Migraine Subclassification via a Data‐Driven Automated Approach Using Multimodality Factor Mixture Modeling of Brain Structure Measurements

Schwedt

et al. 2017

Headache

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Background The current sub-classification of migraine is according to headache frequency and aura status. The variability in migraine symptoms, disease course, and response to treatment suggest the presence of additional heterogeneity or subclasses within migraine. Objective The study objective was to sub-classify migraine via a data-driven approach, identifying latent factors by jointly exploiting multiple sets of brain structural features obtained via magnetic resonance imaging (MRI). Methods Migraineurs (n=66) and healthy controls (n=54) had brain MRI measurements of cortical thickness, cortical surface area, and volumes for 68 regions. A multi-modality factor mixture model was used to sub-classify MRIs and to determine the brain structural factors that most contributed to the sub-classification. Clinical characteristics of subjects in each sub-group were compared. Results Automated MRI classification divided the subjects into two sub-groups. Migraineurs in sub-group #1 had more severe allodynia symptoms during migraines (6.1 +/− 5.3 vs. 3.6 +/−3.2, p = .03), more years with migraine (19.2 +/− 11.3 years vs. 13 +/− 8.3 years, p = .01), and higher Migraine Disability Assessment (MIDAS) scores (25 +/− 22.9 vs. 15.7 +/− 12.2, p = .04). There were not differences in headache frequency or migraine aura status between the two sub-groups. Conclusions Data-driven sub-classification of brain MRIs based upon structural measurements identified two sub-groups. Amongst migraineurs, the sub-groups differed in allodynia symptom severity, years with migraine, and migraine-related disability. Since allodynia is associated with this imaging-based sub-classification of migraine and prior publications suggest that allodynia impacts migraine treatment response and disease prognosis, future migraine diagnostic criteria could consider allodynia when defining migraine sub-groups.

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“…[34,44,45] A novel finding in the present study was the lower baseline ReHo of the MTG was associated with greater pain relief (ΔVAS) after the PRT procedure. The result indicates that the pre-surgical ReHo values in this area can be used as neuroimaging markers for predicting response to the treatment.…”

Section: Discussionmentioning

confidence: 76%

Alternation of regional homogeneity in trigeminal neuralgia after percutaneous radiofrequency thermocoagulation

Dou

Xue-yi²,

Yang³

et al. 2016

Medicine

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We used resting-state fMRI to investigate regional homogeneity (ReHo) changes in patients with TN before and after PRT procedure, and to speculate about its possible mechanisms.Thirty-one TN patients underwent the PRT procedure had MRI scans just before and 6 months after surgery. The anatomical and resting-state functional images were all acquired. Patients’ visual analog scales (VAS) scores, facial numbness, and disease duration were also recorded. Voxel-wise ReHo analysis was performed to detect the altered regional clusters after surgery. The correlations between the mean ReHo values of each significant cluster and clinical variables were examined.Compared with presurgical condition, patients after the PRT procedure showed a significant ReHo value increases in the right fusiform gyrus (FG) and bilateral anterior cingulate cortex (ACC), but decreases in the left inferior parietal lobule (IPL), right calcarine, right middle temporal gyrus (MTG), left postcentral gyrus (PoCG), and left insula. We demonstrated a positive correlation between ReHo in the left PoCG and VAS scores, a negative correlation between pre-surgical ReHo in the right MTG and VAS changes (ΔVAS).Alterations of ReHo post-surgical were found in several regions, which are related to sensory, affective, and emotional processes. The MTG may be a specific area that is associated with analgesic efficiency of PRT procedure.

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Abnormal Brain Activity Changes in Patients with Migraine: A Short-Term Longitudinal Study

Cited by 33 publications

References 26 publications

Spontaneous migraine attack causes alterations in default mode network connectivity: a resting-state fMRI case report

Spontaneous migraine attack causes alterations in default mode network connectivity: a resting-state fMRI case report

Migraine Subclassification via a Data‐Driven Automated Approach Using Multimodality Factor Mixture Modeling of Brain Structure Measurements

Alternation of regional homogeneity in trigeminal neuralgia after percutaneous radiofrequency thermocoagulation

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