Spatio-temporal dynamics of resting-state brain networks are associated with migraine disability

Abstract

Objective The changes in resting-state functional networks and their correlations with clinical traits remain to be clarified in migraine. Here we aim to investigate the brain spatio-temporal dynamics of resting-state networks and their possible correlations with the clinical traits in migraine. Methods Twenty Four migraine patients without aura and 26 healthy controls (HC) were enrolled. Each included subject underwent a resting-state EEG and echo planar imaging examination. The disability of migraine patients was evaluated by Migraine Disability Assessment (MIDAS). After data acquisition, EEG microstates (Ms) combining functional connectivity (FC) analysis based on Schafer 400-seven network atlas were performed. Then, the correlation between obtained parameters and clinical traits was investigated. Results Compared with HC group, the brain temporal dynamics depicted by microstates showed significantly increased activity in functional networks involving MsB and decreased activity in functional networks involving MsD; The spatial dynamics were featured by decreased intra-network FC within the executive control network( ECN) and inter-network FC between dorsal attention network (DAN) and ECN (P < 0.05); Moreover, correlation analysis showed that the MIDAS score was positively correlated with the coverage and duration of MsC, and negatively correlated with the occurrence of MsA; The FC within default mode network (DMN), and the inter-FC of ECN- visual network (VN), ECN- limbic network, VN-limbic network was negatively correlated with MIDAS. However, the FC of DMN-ECN was positively correlated with MIDAS; Furthermore, significant interactions between the temporal and spatial dynamics were also obtained. Conclusions Our study confirmed the notion that altered spatio-temporal dynamics exist in migraine patients during resting-state. And the temporal dynamics, the spatial changes and the clinical traits such as migraine disability interact with each other. The spatio-temporal dynamics obtained from EEG microstate and fMRI FC analyses may be potential biomarkers for migraine and with a huge potential to change future clinical practice in migraine.

Neural oscillations during acupuncture imagery partially parallel that of real needling

“…Thus, cluster number ‘4’ was the best fit for the present data. Based on the spatial orientation of these maps, we labelled the four microstate maps as A (left–right orientation), B (right–left orientation), C (anterior–posterior orientation) and D (fronto-central maximum) for these conditions, as previous studies ( Michel and Koenig, 2018 ; Liu et al, 2021 ; Zhou et al, 2023 ). We found significant differences in the parameters within the AI group or within the RA group and between the AI and RA groups.…”

Resting‐state electroencephalography microstate dynamics altered in patients with migraine with and without aura—A pilot study

“…Previous studies applying EEG microstate analysis to migraine are scarce 26,27 . Both previous studies enrolled only patients with MWoA and did not address patients with MWA.…”

“…As can be seen in Table 3, Li et al 26 included 61 patients with MWoA (mean age 32.8 years, 80% females), Zhou et al 27 included 24 patients with MWoA (mean age 34.9 years, 88% females), whereas 30 patients with MWoA (mean age 33.5 years, 72% females) were included in the present study. All three studies included patients with MWoA at interictal phase; however, it deserves special attention that although Li et al 26 mentioned in the abstract and background section of their article that the study population was patients with MWoA at interictal phase, the interictal phase was not exactly defined in their full article, whereas Zhou et al 27 explicitly stated that the included patients with MWoA were those who did not have a headache attack within the preceding and following 48 h. The patients included in this study were patients without headache attacks within 24 h before and after. Thus, differences in the basic information of these included patients (e.g., differences in sex ratio, differences in migraine attack periods, etc.)…”

“…In addition, sex and age similar healthy participants without neurological or psychiatric disorders and serious medical conditions were also recruited from colleagues and graduate students of the Department of Neurology of the First Affiliated Hospital of Xi'an Jiaotong University as HC during the same period in this study. The sample size of the study was based on the experience of previous similar studies 7,8,27 . The present study was approved by the Ethics Committee of Xi'an Jiaotong University First Affiliated Hospital (XJTU1AF2020LSK‐226).…”

“…In the last decade, EEG microstate analysis has been widely used in neurological and psychiatric disorders, including schizophrenia, 13–15 autism spectrum disorders, 16–18 Alzheimer's disease, 19,20 Parkinson's disease, 21,22 multiple sclerosis, 23 stroke, 24,25 etc. Notably, EEG microstate analysis has been increasingly used in the last 2 years to assess resting brain network changes in patients with MWA and MWoA 26,27 . Among them, Li et al 26 found that microstate B (MsB)‐ and microstate D (MsD)‐related parameters were increased and microstate C (MsC) was decreased in patients with MWoA compared to healthy controls (HC), whereas Zhou et al 27 discovered that MsB parameters were increased and MsD parameters were decreased in patients with MWoA.…”