Hierarchical modelling of functional brain networks in population and individuals from big fMRI data

Hierarchical modelling of functional brain networks in population and individuals from big fMRI data

A major goal of large-scale brain imaging datasets is to provide resources for investigating heterogeneous populations. Characterisation of functional brain networks for individual subjects from these datasets will have an enormous potential for prediction of cognitive or clinical traits. We propose...

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Bibliographic Details
Main Authors: Seyedeh-Rezvan Farahibozorg, Janine D. Bijsterbosch, Weikang Gong, Saad Jbabdi, Stephen M. Smith, Samuel J. Harrison, Mark W. Woolrich
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:NeuroImage
Subjects:
sPROFUMO
Hierarchical network modelling
Big data fMRI
Single subject connectivity
Stochastic inference
Cognition prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921007862

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http://www.sciencedirect.com/science/article/pii/S1053811921007862

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