TY - GEN
T1 - Multivariate fMRI analysis using optimally-discriminative voxel-based analysis
AU - Zhang, Tianhao
AU - Satterthwaite, Theodore D.
AU - Elliott, Mark
AU - Gur, Ruben C.
AU - Gur, Raquel E.
AU - Davatzikos, Christos
PY - 2012
Y1 - 2012
N2 - This significantly extends Multi-Voxel Pattern Analysis (MVPA) methods, such as the Searchlight and related methods, by building on an approach that was recently proposed for structural brain images, and was named Optimally-Discriminative Voxel-Based Analysis (ODVBA), which uses machine learning models to determine the optimal anisotropic filtering of images that enhances group differences. Precise spatial maps of activation are computed by tallying the weights of each voxel to all of the neighborhood in which it belongs, and significance maps are obtained via permutation testing. We adapt this idea to both single and multi-subject fMRI analysis. Both simulated data and real data from 12 adolescent subjects who completed a standard working memory task demonstrated the use of ODVBA in fMRI improves accuracy and spatial specificity of activation detection over Searchlight.
AB - This significantly extends Multi-Voxel Pattern Analysis (MVPA) methods, such as the Searchlight and related methods, by building on an approach that was recently proposed for structural brain images, and was named Optimally-Discriminative Voxel-Based Analysis (ODVBA), which uses machine learning models to determine the optimal anisotropic filtering of images that enhances group differences. Precise spatial maps of activation are computed by tallying the weights of each voxel to all of the neighborhood in which it belongs, and significance maps are obtained via permutation testing. We adapt this idea to both single and multi-subject fMRI analysis. Both simulated data and real data from 12 adolescent subjects who completed a standard working memory task demonstrated the use of ODVBA in fMRI improves accuracy and spatial specificity of activation detection over Searchlight.
KW - MVPA
KW - ODVBA
KW - Searchlight
KW - fMRI
UR - http://www.scopus.com/inward/record.url?scp=84867780886&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867780886&partnerID=8YFLogxK
U2 - 10.1109/PRNI.2012.18
DO - 10.1109/PRNI.2012.18
M3 - Conference contribution
AN - SCOPUS:84867780886
SN - 9780769547657
T3 - Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012
SP - 33
EP - 36
BT - Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012
T2 - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012
Y2 - 2 July 2012 through 4 July 2012
ER -