Computational modelling in disorders of consciousness: closing the gap towards personalised models for restoring consciousness
File(s)
Published version
Author(s)
Type
Journal Article
Abstract
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.
Date Issued
2023-07-15
Date Acceptance
2023-05-09
Citation
NeuroImage, 2023, 275
ISSN
1053-8119
Publisher
Elsevier
Journal / Book Title
NeuroImage
Volume
275
Copyright Statement
© 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:001015762700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Biophysical models
BRAIN DYNAMICS
Computational models
CONNECTIVITY
DIAGNOSIS
Disorders of consciousness
EMERGENCE
Generative models
INDEX
Life Sciences & Biomedicine
METASTABILITY
NEURAL INERTIA
Neuroimaging
Neurosciences
Neurosciences & Neurology
Radiology, Nuclear Medicine & Medical Imaging
Science & Technology
STATE
Statistical models
UNRESPONSIVE PATIENTS
Publication Status
Published
Article Number
120162
Date Publish Online
2023-05-15