Small-worldness characteristics and its gender relation in specific hemispheric networks

•Graph theory approach as a way to quantify brain connectivity.•Gender small-worldness differences in EEG resting state networks.•Resting state networks: Attentional, Frontal, Sensorimotor, Default Mode Network. Aim of this study was to verify whether the topological organization of human brain func...

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Veröffentlicht in:	Neuroscience Jg. 310; S. 1 - 11
Hauptverfasser:	Miraglia, F., Vecchio, F., Bramanti, P., Rossini, P.M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 03.12.2015
Schlagworte:	Analysis of Variance Attention - physiology Brain Mapping Case-Control Studies Computer Graphics EEG Electroencephalography Female functional connectivity Functional Laterality - physiology gender graph theory Humans Interpersonal Relations Male Middle Aged Models, Neurological Neural Pathways - physiology Neurology Rest - physiology resting state Sex Characteristics small world networks small world networks DMN SW gender graph theory ICA EEG FN RSN AN ROI resting state functional connectivity ANOVA SN BA Default Mode Network resting state networks Region of Interest Attentional Networks independent component analysis small world analysis of variance Sensorimotor Network Frontal Networks Brodmann Areas
ISSN:	0306-4522, 1873-7544
Online-Zugang:	Volltext
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