Patterns of gray matter alterations in migraine and restless legs syndrome

Yang, Fu‐Chi; Chou, Kun Hsien; Lee, Pei-Lin; Yin, Jiu Haw; Chen, Shao Yuan; Kao, Hung Wen; Sung, Yueh Feng; Chou, Chung-Hsing; Tsai, Chia Kuang; Lin, Ching Po; Lee, Jiunn Tay

doi:10.1002/acn3.680

Cited by 20 publications

(17 citation statements)

References 42 publications

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“…Although our data show loss of GM volume in the precuneus in patients with VM, the function of the precuneus is complicated. Specifically, dysfunction in the precuneus is not only observed in VM, but also in many other pain disorders, such as migraine ( Yang et al, 2019 ), chronic pain ( Malfliet et al, 2019 ), diabetic neuropathic pain ( Cauda et al, 2009 ), and fibromyalgia ( Napadow et al, 2010 ). These studies indicate that structural damage in the precuneus is not specific to VM.…”

Section: Discussionmentioning

confidence: 99%

Altered Gray Matter Volume and Functional Connectivity in Patients With Vestibular Migraine

et al. 2021

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SubjectsVestibular migraine (VM) is the most common neurological cause of vertigo in adults. Previous neuroimaging studies have reported structural alterations in areas associated with pain and vestibular processing. However, it is unclear whether altered resting-state functional connectivity (FC) exists in brain regions with structural abnormalities in patients with VM.MethodsResting-state functional magnetic resonance imaging (MRI) and three-dimensional T1-weighed MRI were performed in 30 patients with VM and 30 healthy controls (HCs). Patients underwent an evaluation of migraine and dizziness severity. FC and voxel-based morphometry (VBM) were performed using DPABI 4.3 and CAT12, respectively. The association between changes in gray matter (GM) volume or FC and clinical parameters was also analyzed.ResultsCompared with HCs, patients with VM demonstrated a reduced GM volume in the bilateral parietoinsular vestibular cortex (PIVC), right middle frontal gyrus, and precuneus. The GM volume of the left PIVC was negatively associated with Dizziness Handicap Inventory score in patients with VM. Taking this region as a seed region, we further observed increased FC between the left primary somatosensory cortex (S1)/inferior parietal lobule (IPL) and the left PIVC in patients with VM.ConclusionFC between regions with a decline in GM volume (the PIVC and S1/IPL) is altered in patients with VM, suggesting that abnormalities in vestibular cortical network could be useful for understanding the underlying mechanisms of VM.

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Section: Discussionmentioning

confidence: 99%

Altered Gray Matter Volume and Functional Connectivity in Patients With Vestibular Migraine

et al. 2021

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“…Compared with the VBM studies published before 2016, most of which found null results, the recent three studies using newer algorithms found significant results (Li et al, 2018;Stefani et al, 2019;Yang et al, 2019).…”

Section: Which Potential Factors May Have Caused the Inconsistencies Between Studies?mentioning

confidence: 79%

“…The statistical threshold for this analysis was set to p < .05 (TFCE-based FWER corrected) and voxels extent ≥ 10. Stefani et al, 2019;Unrath et al, 2007;Yang et al, 2019). These datasets comprised 375 patients with RLS (253 females, mean age 54.8 years) and 385 HC subjects (252 females, mean age 53.9 years).…”

Section: Meta-regression Analysismentioning

confidence: 99%

“…In the last decade, VBM studies in RLS have exhibited inconsistent and conflicting findings (Belke et al., 2015; Celle et al., 2010; Comley et al., 2012; Etgen et al., 2005; Hornyak et al., 2007; Li et al., 2018; Margariti et al., 2012; Pan et al., 2014; Rizzo, Manners, et al., 2012; Rizzo, Tonon, et al., 2012; Stefani et al., 2019; Unrath et al., 2007; Yang et al., 2019). Some of the VBM studies demonstrated diverse GM alterations in RLS, such as GM volume/density increase in the thalamus, hippocampus and middle orbitofrontal gyrus, right middle frontal gyrus, left primary somatosensory cortex, left primary motor cortex, right primary somatosensory cortex, right temporal area, inferior parietal lobe, bilateral putamen and bilateral brainstem (Etgen et al., 2005; Hornyak et al., 2007; Stefani et al., 2019), and GM volume/density decrease in the medial frontal areas, right anterior cingulate gyrus, left central opercular cortex, right middle temporal gyrus, bilateral lateral temporal areas, left occipital region, left hippocampus, bilateral parietal lobes, right thalamus and cerebellum (Chang et al., 2015; Yang et al., 2019). Several other VBM studies detected no GM alterations in patients with RLS relative to healthy controls (HCs; Belke et al., 2015; Comley et al., 2012; Margariti et al., 2012; Pan et al., 2014; Rizzo et al., 2012; Rizzo, Tonon, et al., 2012).…”

Section: Introductionmentioning

confidence: 99%

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Grey matter alterations in restless legs syndrome: A coordinate‐based meta‐analysis

Sheng

Zhao

et al. 2021

Journal of Sleep Research

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Restless legs syndrome (RLS) is a common sensorimotor and sleep disorder characterized by a distressing urge to move the legs due to unpleasant sensations, usually occurring or worsening during rest or at bedtime (Allen et al., 2014). RLS is of major clinical and public health significance due to its high prevalence rate of 5%-10% in the Western industrialized countries that adversely effects sleep, mood and health-related quality of life (Allen et al., 2014;Molnar et al., 2016;Trenkwalder et al., 2018Trenkwalder et al., , 2020. RLS is currently diagnosed based on clinical features only (Allen et al., 2014), which often leads to it being under-diagnosed and under-treated (Allen

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“…In addition, previous studies have found that patients with migraine have brain gray matter (GM) abnormalities. Patients with migraine without aura (MwoA) have increased GM in the thalamus, parahippocampal gyrus, and frontal gyrus regions (15)(16)(17), and have decreased GM in the brainstem region (18). These findings indicate that brain GM might be useful in predicting the response of MwoA to acupuncture treatment.…”

Section: Introductionmentioning

confidence: 99%

Baseline Brain Gray Matter Volume as a Predictor of Acupuncture Outcome in Treating Migraine

Yang

Liu

et al. 2020

Front. Neurol.

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Background: The present study aimed to investigate the use of imaging biomarkers to predict the outcome of acupuncture in patients with migraine without aura (MwoA). Methods: Forty-one patients with MwoA received 4 weeks of acupuncture treatment and two brain imaging sessions at the Beijing Traditional Chinese Medicine Hospital affiliated with Capital Medical University. Patients kept a headache diary for 4 weeks before treatment and during acupuncture treatment. Responders were defined as those with at least a 50% reduction in the number of migraine days. The machine learning method was used to distinguish responders from non-responders based on pre-treatment brain gray matter (GM) volume. Longitudinal changes in GM predictive regions were also analyzed. Results: After 4 weeks of acupuncture, 19 patients were classified as responders. Based on 10-fold cross-validation for the selection of GM features, the linear support vector machine produced a classification model with 73% sensitivity, 85% specificity, and 83% accuracy. The area under the receiver operating characteristic curve was 0.7871. This classification model included 10 GM areas that were mainly distributed in the frontal, temporal, parietal, precuneus, and cuneus gyri. The reduction in the number of migraine days was correlated with baseline GM volume in the cuneus, parietal, and frontal gyri in all patients. Moreover, the left cuneus showed a longitudinal increase in GM volume in responders. Conclusion: The results suggest that pre-treatment brain structure could be a novel predictor of the outcome of acupuncture in the treatment of MwoA. Imaging features could be a useful tool for the prediction of acupuncture efficacy, which would enable the development of a personalized medicine strategy.

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Patterns of gray matter alterations in migraine and restless legs syndrome

Cited by 20 publications

References 42 publications

Altered Gray Matter Volume and Functional Connectivity in Patients With Vestibular Migraine

Altered Gray Matter Volume and Functional Connectivity in Patients With Vestibular Migraine

Grey matter alterations in restless legs syndrome: A coordinate‐based meta‐analysis

Baseline Brain Gray Matter Volume as a Predictor of Acupuncture Outcome in Treating Migraine

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