The absence of task-related increases in BOLD signal does not equate to absence of task-related brain activation

Jiansong Xu; Vince D. Calhoun; Marc N. Potenza

doi:10.1016/j.jneumeth.2014.11.002

The absence of task-related increases in BOLD signal does not equate to absence of task-related brain activation

Jiansong Xu, Vince D. Calhoun, Marc N. Potenza

School of Medicine

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Most fMRI studies employ general-linear-model-based analyses (GLM-BA) of BOLD signal changes to identify regions that are active (or not) during specific cognitive processes. However, alternate analytic approaches (like independent component analysis) may identify more complex patterns of activation, including in regions not implicated in GLM-BA of the same data. In our opinion, fMRI findings revealed by a GLM-BA cannot exclude any brain regions from contributing to specific cognitive processes.

Original language	English (US)
Pages (from-to)	125-127
Number of pages	3
Journal	Journal of Neuroscience Methods
Volume	240
DOIs	https://doi.org/10.1016/j.jneumeth.2014.11.002
State	Published - Jan 1 2015

Keywords

Balanced excitation and inhibition
Functional heterogeneity
General linear model
Spatial independent component analysis

ASJC Scopus subject areas

General Neuroscience

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10.1016/j.jneumeth.2014.11.002

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title = "The absence of task-related increases in BOLD signal does not equate to absence of task-related brain activation",

abstract = "Most fMRI studies employ general-linear-model-based analyses (GLM-BA) of BOLD signal changes to identify regions that are active (or not) during specific cognitive processes. However, alternate analytic approaches (like independent component analysis) may identify more complex patterns of activation, including in regions not implicated in GLM-BA of the same data. In our opinion, fMRI findings revealed by a GLM-BA cannot exclude any brain regions from contributing to specific cognitive processes.",

keywords = "Balanced excitation and inhibition, Functional heterogeneity, General linear model, Spatial independent component analysis",

author = "Jiansong Xu and Calhoun, {Vince D.} and Potenza, {Marc N.}",

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AU - Calhoun, Vince D.

AU - Potenza, Marc N.

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AB - Most fMRI studies employ general-linear-model-based analyses (GLM-BA) of BOLD signal changes to identify regions that are active (or not) during specific cognitive processes. However, alternate analytic approaches (like independent component analysis) may identify more complex patterns of activation, including in regions not implicated in GLM-BA of the same data. In our opinion, fMRI findings revealed by a GLM-BA cannot exclude any brain regions from contributing to specific cognitive processes.

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KW - General linear model

KW - Spatial independent component analysis

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The absence of task-related increases in BOLD signal does not equate to absence of task-related brain activation

Abstract

Keywords

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