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Hierarchical topographic factor analysis
<span title="">2014</span>
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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/sj3yvqxaz5d3hi5ckwqyl2p3ja" style="color: black;">2014 International Workshop on Pattern Recognition in Neuroimaging</a>
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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 multisubject neuroimaging datasets.
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