Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups

Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups

The general linear model (GLM) is a widely popular and convenient tool for estimating the functional brain response and identifying areas of significant activation during a task or stimulus. However, the classical GLM is based on a massive univariate approach that does not explicitly leverage the si...

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Bibliographic Details
Main Authors: Daniel Spencer, Yu Ryan Yue, David Bolin, Sarah Ryan, Amanda F. Mejia
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:NeuroImage
Subjects:
Task fMRI
Bayesian
General linear model
Cortical surface
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922000386

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