Article

Providing context: Extracting non-linear and dynamic temporal motifs from brain activity

2024-06-27

Abstract excerpt

Approaches studying the dynamics of resting-state functional magnetic resonance imaging (rs-fMRI) activity often focus on time-resolved functional connectivity (tr-FC). While many approaches have been proposed, these typically focus on linear approaches like computing the linear correlation at a timestep or within a window. In this work, we propose to use a generative non-linear deep learning model, a disentangled...

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Literature Corpus work: f260a1b0-d14d-5453-91bd-e7152aca714f
DOI: 10.1101/2024.06.27.600937

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