Effective workflow from multimodal MRI data to model-based prediction

Abstract Predicting human behavior from neuroimaging data remains a complex challenge in neuroscience. To address this, we propose a systematic and multi-faceted framework that incorporates a model-based workflow using dynamical brain models. This approach utilizes multi-modal MRI data for brain mod...

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Bibliografiska uppgifter

Huvudupphov:	Kyesam Jung, Kevin J. Wischnewski, Simon B. Eickhoff, Oleksandr V. Popovych
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Nature Portfolio 2025-06-01
Serie:	Scientific Reports
Ämnen:	Brain MRI Whole-brain modeling Parameter optimization Machine learning Classification Prediction
Länkar:	https://doi.org/10.1038/s41598-025-04511-5
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