Modeling Adaptation Effects in fMRI Analysis
Author(s)
Ou, Wanmei; Raij, Tommi; Lin, Fa-Hsuan; Golland, Polina; Hamalainen, Matti S.
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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.
Description
available in PMC 2013 June 30
Date issued
2009Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer ScienceJournal
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009
Publisher
Springer-Verlag Berlin Heidelberg
Citation
Ou, Wanmei, Tommi Raij, Fa-Hsuan Lin, Polina Golland, and Matti Hamalainen. “Modeling Adaptation Effects in fMRI Analysis.” in Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009, (Lecture Notes in Computer Science; Volume 5761) (2009): 1009–1017.
Version: Author's final manuscript
ISBN
978-3-642-04267-6
978-3-642-04268-3
ISSN
0302-9743
1611-3349