A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function
Abstract
Multi-modal data analysis techniques, such as the Parallel Independent Component Analysis (pICA), are essential in neuroscience, medical imaging and genetic studies. The pICA algorithm allows the simultaneous decomposition of up to two data modalities achieving better performance than separate ICA decompositions and enabling the discovery of links between modalities. However, advances in data acquisition techniques facilitate the collection of...
Paper Details
Title
A three-way parallel ICA approach to analyze links among genetics, brain structure and brain function
Published Date
Sep 1, 2014
Journal
Volume
98
Pages
386 - 394
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