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

Yan Zhou; Liusheng Gong; Yushu Yang; Linjie Tan; Lili Ruan; Xiu Chen; Hua Luo; Jianghai Ruan

doi:10.1186/s10194-023-01551-y

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

J Headache Pain. 2023 Feb 20;24(1):13. doi: 10.1186/s10194-023-01551-y.

Authors

Yan Zhou^#^{1

2

3}, Liusheng Gong^#^{1

2}, Yushu Yang^{2

3}, Linjie Tan^{2

3}, Lili Ruan^{2

3}, Xiu Chen^{2

3}, Hua Luo^{2

3}, Jianghai Ruan^{4

5}

Affiliations

¹ Department of Neurology, Jianyang People's Hospital, Jianyang, 641400, China.
² Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
³ Laboratory of Neurological Diseases and Brain Function, Luzhou, 646000, China.
⁴ Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China. jianghai.ruan@swmu.edu.cn.
⁵ Laboratory of Neurological Diseases and Brain Function, Luzhou, 646000, China. jianghai.ruan@swmu.edu.cn.

^# Contributed equally.

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.

Keywords: Brain network; EEG microstate; Functional connection; Migraine; Resting state; fMRI.

MeSH terms

Brain / diagnostic imaging
Brain Mapping* / methods
Executive Function
Humans
Magnetic Resonance Imaging / methods
Migraine Disorders* / diagnostic imaging