Title :
Hierarchical topographic factor analysis
Author :
Manning, Jeremy R. ; Ranganath, Rajesh ; Keung, Waitsang ; Turk-Browne, Nicholas B. ; Cohen, J.D. ; Norman, Kenneth A. ; Blei, David M.
Abstract :
Recent work has revealed that cognitive processes are often reflected in patterns of functional connectivity throughout the brain (for review see [16]). However, examining functional connectivity patterns using traditional methods carries a substantial computational burden (of computing time and memory). Here we present a technique, termed Hierarchical topographic factor analysis, for efficiently discovering brain networks in large multi-subject neuroimaging datasets.
Keywords :
biomedical MRI; brain; cognition; image reconstruction; medical image processing; neurophysiology; brain networks; cognitive processes; fMRI; functional connectivity patterns; hierarchical topographic factor analysis; image reconstruction; memory computation; multisubject neuroimaging datasets; pattern reflection; substantial computational burden; time computation; Brain modeling; Covariance matrices; Face; Graphical models; Principal component analysis; Reliability;
Conference_Titel :
Pattern Recognition in Neuroimaging, 2014 International Workshop on
Conference_Location :
Tubingen
Print_ISBN :
978-1-4799-4150-6
DOI :
10.1109/PRNI.2014.6858530
