Modeling adaptation effects in fMRI analysis

Wanmei Ou*, Tommi Raij, Fa Hsuan Lin, Polina Golland, Matti Hämäläinen

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

The standard general linear model (GLM) for rapid event-related fMRI design protocols typically ignores reduction in hemodynamic responses in successive stimuli in a train due to incomplete recovery from the preceding stimuli. To capture this adaptation effect, we incorporate a region-specific adaptation model into GLM. The model quantifies the rate of adaptation across brain regions, which is of interest in neuroscience. Empirical evaluation of the proposed model demonstrates its potential to improve detection sensitivity. In the fMRI experiments using visual and auditory stimuli, we observed that the adaptation effect is significantly stronger in the visual area than in the auditory area, suggesting that we must account for this effect to avoid bias in fMRI detection.

Original languageEnglish (US)
Pages (from-to)1009-1017
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Issue numberPART 1
DOIs
StatePublished - Dec 1 2009
Event12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009 - London, United Kingdom
Duration: Sep 20 2009Sep 24 2009

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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