Subject identification using edge-centric functional connectivity

• Published in: NeuroImage (Orlando, Fla.) Vol. 238; p. 118204
• Main Authors: Jo, Youngheun, Faskowitz, Joshua, Esfahlani, Farnaz Zamani, Sporns, Olaf, Betzel, Richard F.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 01.09.2021; Elsevier Limited; Elsevier
• Subjects: Brain research; Communication; Datasets; Fingerprinting; Identification; Neural networks; Sensorimotor system; Time series

•We propose an edge-centric approach to improve subject idiosyncrasies in rsfMRI.•We obtain edge-centric FC and subject similarity matrices in two datasets.•We investigate identifiability at various spatial and organizational scales.•With edge-centric FC, idiosyncrasies are driven by heteromodal bra...