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Optimizing functional connectivity scanning conditions for predicting autistic traits

2025-01-17

Abstract excerpt

Autism is a heterogeneous condition, and functional magnetic resonance imaging-based studies have advanced understanding of neurobiological correlates of autistic features. Little work has focused on the optimal brain states to reveal brain-phenotype relationships. Using connectome-based predictive modelling, we interrogated four datasets to determine scanning conditions that boost prediction of clinically relevan...

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Literature Corpus work
08ef62a0-f978-52bd-8e23-c21d922910fd
DOI
10.1101/2025.01.14.24319457
Open publication

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Optimizing functional connectivity scanning conditions for predicting autistic traitsDOI 10.1101/2025.01.14.24319457
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