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Conditioned Graph Reconstruction of Brain Functional Network Connectivity Reveals Interpretable Latent Axes of Sex and Fluid Intelligence

2026-02-20

Abstract excerpt

<h4>ABSTRACT</h4> In studying the brain’s functional connectivity and its associations with clinically observed assessments, novel learning frameworks modeling its network properties in conjunction with assessment variables are crucial to uncover variable-specific patterns via meaningful encoding and reconstruction. We present a generative framework for modeling human brain functional connectivity features while...

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Literature Corpus work
d194d1e2-17a9-5aae-b5e8-9bb1b63e05ab
DOI
10.64898/2026.02.20.707025
Open publication

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Conditioned Graph Reconstruction of Brain Functional Network Connectivity Reveals Interpretable Latent Axes of Sex and Fluid IntelligenceDOI 10.64898/2026.02.20.707025
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