Functional connectomes incorporating phase synchronization for the characterization and prediction of individual differences

• Published in: Journal of neuroscience methods Vol. 372; p. 109539
• Main Authors: Cai, Biao, Zhou, Zhongxing, Zhang, Aiying, Zhang, Gemeng, Xiao, Li, Stephen, Julia M., Wilson, Tony W., Calhoun, Vince D., Wang, Yu-Ping
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 15.04.2022
• Subjects: Brain - diagnostic imaging; Cognitive behavior prediction; Connectome - methods; Functional connectivity; Individual identification; Individuality; Magnetic Resonance Imaging - methods; Nerve Net; Neural synchronization; Phase-based connectome; Functional connectivity; Neural synchronization; Phase-based connectome; Individual identification; Cognitive behavior prediction

Functional connectomes have been proven to be able to predict an individual’s traits, acting as a fingerprint. A majority of studies use the amplitude information of fMRI signals to construct the connectivity but it remains unknown whether phase synchronization can be incorporated for improved predi...