Hierarchical Topographic Factor Analysis

Jeremy R. Manning,Rajesh Ranganath,Waitsang Keung,Nicholas B. Turk-Browne, Jonathan D. Cohen,Kenneth A. Norman,David M. Blei

Tubingen（2014）

引用 12|浏览66

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摘要

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.

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关键词

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

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