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» Modeling Adaptation Effects in fMRI Analysis
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MICCAI
2009
Springer
14 years 6 months ago
Modeling Adaptation Effects in fMRI Analysis
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 i...
Wanmei Ou, Tommi Raij, Fa-Hsuan Lin, Polina Gollan...
ISBI
2008
IEEE
14 years 5 months ago
Sensitivity analysis of parcellation in the joint detection-estimation of brain activity in fMRI
Within-subject analysis in fMRI relies on both (i) a detection step to localize which parts of the brain are activated by a given stimulus type, and on (ii) an estimation step to ...
Thomas Vincent, Philippe Ciuciu, Bertrand Thirion
MICCAI
2007
Springer
14 years 5 months ago
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval
The thresholded t-map produced by the General Linear Model (GLM) gives an effective summary of activation patterns in functional brain images and is widely used for feature selecti...
Bing Bai, Paul B. Kantor, Ali Shokoufandeh
TMI
2010
175views more  TMI 2010»
12 years 11 months ago
Spatially Adaptive Mixture Modeling for Analysis of fMRI Time Series
Within-subject analysis in fMRI essentially addresses two problems, the detection of brain regions eliciting evoked activity and the estimation of the underlying dynamics. In [1, 2...
Thomas Vincent, Laurent Risser, Philippe Ciuciu
ICIP
2006
IEEE
14 years 6 months ago
Rotational Invariance in Adaptive fMRI Data Analysis
It has previously been shown that canonical correlation analysis (CCA) works well for detecting neural activity in fMRI data. This is due to the ability of CCA to perform simultan...
Joakim Rydell, Hans Knutsson, Magnus Borga