Structural brain network characteristics in patients with episodic and chronic migraine.

ABSTRACT:

Background

Migraine is a primary headache disorder that can be classified into an episodic (EM) and a chronic form (CM). Network analysis within the graph-theoretical framework based on connectivity patterns provides an approach to observe large-scale structural integrity. We test the hypothesis that migraineurs are characterized by a segregated network.

Methods

19 healthy controls (HC), 17 EM patients and 12 CM patients were included. Cortical thickness and subcortical volumes were computed, and topology was analyzed using a graph theory analytical framework and network-based statistics. We further used support vector machines regression (SVR) to identify whether these network measures were able to predict clinical parameters.

Results

Network based statistics reveale

SUBMITTER: Michels L 

PROVIDER: S-EPMC7927231 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature