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

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

Disorders of consciousness are complex conditions characterised by persistent loss of responsiveness due to brain injury. They present diagnostic challenges and limited options for treatment, and highlight the urgent need for a more thorough understanding of how human consciousness arises from coord...

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Bibliographic Details
Main Authors: Andrea I. Luppi, Joana Cabral, Rodrigo Cofre, Pedro A.M. Mediano, Fernando E. Rosas, Abid Y. Qureshi, Amy Kuceyeski, Enzo Tagliazucchi, Federico Raimondo, Gustavo Deco, James M. Shine, Morten L. Kringelbach, Patricio Orio, ShiNung Ching, Yonatan Sanz Perl, Michael N. Diringer, Robert D. Stevens, Jacobo Diego Sitt
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:NeuroImage
Subjects:
Disorders of consciousness
Computational models
Generative models
Statistical models
Biophysical models
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811923003130

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http://www.sciencedirect.com/science/article/pii/S1053811923003130

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