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Neuromark dFNC Patterns: A fully automated pipeline to estimate subject-specific states from rs-fMRI data via constrained ICA of dFNC in +100k Subjects

2025-02-02

Abstract excerpt

<h4>ABSTRACT</h4> Resting-state functional MRI (rs-fMRI) provides valuable insights into brain function during rest, but faces challenges in clinical applications due to individual differences in functional connectivity. While Independent Component Analysis (ICA) is commonly used, it struggles to balance individual variations with inter-subject information. To address this, constrained ICA (cICA) approaches have...

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Literature Corpus work
fe3288e7-17df-5296-af1d-aefb50100021
DOI
10.1101/2025.01.29.635539
Open publication

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Neuromark dFNC Patterns: A fully automated pipeline to estimate subject-specific states from rs-fMRI data via constrained ICA of dFNC in +100k SubjectsDOI 10.1101/2025.01.29.635539
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