Gender-related differences in the dysfunctional resting networks of migraine suffers.

<h4>Background</h4>Migraine shows gender-specific incidence and has a higher prevalence in females. However, little is known about gender-related differences in dysfunctional brain organization, which may account for gender-specific vulnerability and characteristics of migraine. In this study, we considered gender-related differences in the topological property of resting functional networks.<h4>Methodology/principal findings</h4>Data was obtained from 38 migraine patients (18 males and 20 females) and 38 healthy subjects (18 males and 20 females). We used the graph theory analysis, which becomes a powerful tool in investigating complex brain networks on a whole brain scale and could describe functional interactions between brain regions. Using this approach, we compared the brain functional networks between these two groups, and several network properties were investigated, such as small-worldness, network resilience, nodal centrality, and interregional connections. In our findings, these network characters were all disrupted in patients suffering from chronic migraine. More importantly, these functional damages in the migraine-affected brain had a skewed balance between males and females. In female patients, brain functional networks showed worse resilience, more regions exhibited decreased nodal centrality, and more functional connections revealed abnormalities than in male patients.<h4>Conclusions</h4>These results indicated that migraine may have an additional influence on females and lead to more dysfunctional organization in their resting functional networks.

Abstract licence: CC BY

1. 8.

   Efficiency and Cost of Economical Brain Functional Networks · 2007

2. 18.

   Abnormal Cortical Networks in Mild Cognitive Impairment and Alzheimer's Disease · 2010

38 more references, whose wording the paper’s licence keeps private.

• Gender-related differences in migraine · 2020

• BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics · 2013

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