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Article Dans Une Revue NeuroImage Année : 2023

Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness

Résumé

Highlights • Overview of the wide range of modelling strategies for disorders of consciousness. • Descriptive and generative statistical models, biophysical computational models. • Gap analysis of challenges to DOC modelling and recommendations to overcome them. • Towards personalised models for diagnosis and treatment of DOC with multimodal data. • “Phase Zero” in silico clinical trials of potential treatments via brain modelling.

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Médecine humaine et pathologie
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Soumis le : mercredi 27 mars 2024-10:29:20

Dernière modification le : vendredi 29 mars 2024-03:24:49

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hal-04522925 , version 1 (27-03-2024)

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Andrea I Luppi, Joana Cabral, Rodrigo Cofre, Pedro A.M. Mediano, Fernando E Rosas, et al.. Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage, 2023, 275, pp.120162. ⟨10.1016/j.neuroimage.2023.120162⟩. ⟨hal-04522925⟩

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