Frequency-Aware Summarization of Resting-State fMRI Data
Abstract
Many brain imaging modalities reveal interpretable patterns after the data dimensionality is reduced and summarized via data-driven approaches. In functional magnetic resonance imaging (fMRI) studies, such summarization is often achieved through independent component analysis (ICA). ICA transforms the original data into a relatively small number of interpretable bases in voxel space (referred to as ICA spatial components, or spatial maps) and...
Paper Details
Title
Frequency-Aware Summarization of Resting-State fMRI Data
Published Date
Apr 7, 2020
Volume
14
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