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PI-FC: Pre-training Individual-specific Functional Connectome through State-invariant Contrastive Learning

2025-09-21

Abstract excerpt

Functional MRI enables non-invasive mapping of brain connectivity, yet its clinical translation remains hindered by uncontrolled state-dependent variability that obscures individual-specific signatures during routine scanning. Here we introduce PI-FC - a deep learning framework leveraging state-invariant contrastive learning to extract stable individual brain signatures across diverse arousal levels, cognitive sta...

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Literature Corpus work
1b08539e-2f8a-5ffe-bbb3-a0e5715578cc
DOI
10.1101/2025.09.21.677570
Open publication

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PI-FC: Pre-training Individual-specific Functional Connectome through State-invariant Contrastive LearningDOI 10.1101/2025.09.21.677570
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