Fitting computational models to fMRI

TitleFitting computational models to fMRI
Publication TypeJournal Article
Year of Publication2008
AuthorsF Ashby, G., & Waldschmidt J. G.
JournalBehavioral Research Methods
Volume40
Issue3
Pagination713-721
Date Published2008 Aug
ISSN1554-351X
KeywordsAutomatic Data Processing, Brain, Hemoglobins, Humans, Magnetic Resonance Imaging, Models, Statistical, Software, Time Factors
Abstract

Many computational models in psychology predict how neural activation in specific brain regions should change during certain cognitive tasks. The emergence of fMRI as a research tool provides an ideal vehicle totest these predictions. Before such tests are possible, however, significant methodological problems must be solved. These problems include transforming the neural activations predicted by the model into predicted BOLD responses, identifying the voxels within each region of interest against which to test the model, and comparing the observed and predicted BOLD responses in each of these regions. In the present article, methods are described for solving each of these problems.

Alternate JournalBehav Res Methods
PubMed ID18697666
PubMed Central IDPMC2587365
Grant ListR01 MH063760 / MH / NIMH NIH HHS / United States
R01 MH063760-06 / MH / NIMH NIH HHS / United States
R01 MH3760-2 / MH / NIMH NIH HHS / United States