Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning

Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanning

While inter-subject correlation (ISC) analysis is a powerful tool for naturalistic scanning data, drawing appropriate statistical inferences is difficult due to the daunting task of accounting for the intricate relatedness in data structure as well as handling the multiple testing issue. Although th...

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Bibliographic Details
Main Authors: Gang Chen, Paul A. Taylor, Xianggui Qu, Peter J. Molfese, Peter A. Bandettini, Robert W. Cox, Emily S. Finn
Format: Article
Language:English
Published: Elsevier 2020-08-01
Series:NeuroImage
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811919310651

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