Resting-state functional connectivity graph-properties correlate with bipolar disorder-risk in young medication-free depressed subjects

•Network-based statistics using a resting state functional connectivity.•Performance of graph theory analysis with whole-brain graph properties.•Investigation of brain network associated with a risk for bipolar disorder.•Classification for young depressed subjects at risk for developing bipolar diso...

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Bibliographic Details

Published in:	Journal of affective disorders Vol. 301; pp. 52 - 59
Main Authors:	Cha, Jungwon, Spielberg, Jeffrey M., Hu, Bo, Altinay, Murat, Anand, Amit
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 15.03.2022
Subjects:	Bipolar depression Graph theory Machine learning classification Network-based statistics Resting state FMRI Unipolar depression Unipolar depression Graph theory Network-based statistics Machine learning classification Bipolar depression Resting state FMRI
ISSN:	0165-0327, 1573-2517
Online Access:	Get full text
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