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

Luppi, A. I., Cabral, J., Cofre, R., Mediano, P. A., Rosas, F. E., Qureshi, A. Y., et al. (2023). Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness. NeuroImage, 275: 120162. doi:10.1016/j.neuroimage.2023.120162.

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Luppi, Andrea I.1, Autor
Cabral, Joana1, Autor
Cofre, Rodrigo1, Autor
Mediano, Pedro A.M.1, Autor
Rosas, Fernando E.1, Autor
Qureshi, Abid Y.1, Autor
Kuceyeski, Amy1, Autor
Tagliazucchi, Enzo1, Autor
Raimondo, Federico1, Autor
Deco, Gustavo2, Autor           
Shine, James M.1, Autor
Kringelbach, Morten L.1, Autor
Orio, Patricio1, Autor
Ching, ShiNung1, Autor
Sanz-Perl, Yonatan1, Autor
Diringer, Michael N.1, Autor
Stevens, Robert D.1, Autor
Sitt, Jacobo Diego1, Autor
Affiliations:
1External Organizations, ou_persistent22              
2Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Schlagwörter: Disorders of consciousness; Computational models; Generative models; Statistical models; Biophysical models; Machine learning
 Zusammenfassung: 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 coordinated neural activity. The increasing availability of multimodal neuroimaging data has given rise to a wide range of clinically- and scientifically-motivated modelling efforts, seeking to improve data-driven stratification of patients, to identify causal mechanisms for patient pathophysiology and loss of consciousness more broadly, and to develop simulations as a means of testing in silico potential treatment avenues to restore consciousness. As a dedicated Working Group of clinicians and neuroscientists of the international Curing Coma Campaign, here we provide our framework and vision to understand the diverse statistical and generative computational modelling approaches that are being employed in this fast-growing field. We identify the gaps that exist between the current state-of-the-art in statistical and biophysical computational modelling in human neuroscience, and the aspirational goal of a mature field of modelling disorders of consciousness; which might drive improved treatments and outcomes in the clinic. Finally, we make several recommendations for how the field as a whole can work together to address these challenges.

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Sprache(n): eng - English
 Datum: 2023-04-162023-01-152023-05-092023-05-15
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.1016/j.neuroimage.2023.120162
Anderer: epub 2023
PMID: 37196986
 Art des Abschluß: -

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Projektname : -
Grant ID : OPP 1144
Förderprogramm : -
Förderorganisation : Gates Cambridge Trust
Projektname : -
Grant ID : 945539
Förderprogramm : Horizon 2020
Förderorganisation : Human Brain Project (HBP)
Projektname : -
Grant ID : R01NS102646; RF1MH123232; R01NS130693
Förderprogramm : -
Förderorganisation : US National Institutes of Health (NIH)
Projektname : -
Grant ID : LCF/BQ/PR22/11920014
Förderprogramm : -
Förderorganisation : La Caixa Foundation
Projektname : -
Grant ID : 1193857
Förderprogramm : -
Förderorganisation : Australian National Health and Medical Research Council (NHMRC)
Projektname : -
Grant ID : 1211750; 1220995
Förderprogramm : -
Förderorganisation : National Fund for Scientific and Technological Development (FONDECYT)
Projektname : -
Grant ID : AC3E FB0008
Förderprogramm : -
Förderorganisation : Centro Basal
Projektname : Marie Sklodowska-Curie grant
Grant ID : 896354
Förderprogramm : Horizon 2020
Förderorganisation : European Union
Projektname : Centre for Eudaimonia and Human Flourishing
Grant ID : -
Förderprogramm : -
Förderorganisation : Pettit and Carlsberg Foundations
Projektname : Center for Music in the Brain
Grant ID : DNRF117
Förderprogramm : -
Förderorganisation : Danish National Research Foundation (DNRF)
Projektname : ModelDXConsciousness
Grant ID : -
Förderprogramm : -
Förderorganisation : FLAG-ERA

Quelle 1

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Titel: NeuroImage
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Orlando, FL : Academic Press
Seiten: - Band / Heft: 275 Artikelnummer: 120162 Start- / Endseite: - Identifikator: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166