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  Brain states and transitions: Insights from computational neuroscience

Kringelbach, M. L., & Deco, G. (2020). Brain states and transitions: Insights from computational neuroscience. Cell Reports, 32(10): 108128. doi:10.1016/j.celrep.2020.108128.

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 Creators:
Kringelbach, Morten L.1, 2, 3, Author
Deco, Gustavo4, 5, 6, 7, Author              
Affiliations:
1Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
2Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
3Centre for Eudaimonia and Human Flourishing, University of Oxford, United Kingdom, ou_persistent22              
4Computational Neuroscience Group, Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
5Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
6Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
7School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              

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 Abstract: Within the field of computational neuroscience there are great expectations of finding new ways to rebalance the complex dynamic system of the human brain through controlled pharmacological or electromagnetic perturbation. Yet many obstacles remain between the ability to accurately predict how and where best to perturb to force a transition from one brain state to another. The foremost challenge is a commonly agreed definition of a given brain state. Recent progress in computational neuroscience has made it possible to robustly define brain states and force transitions between them. Here, we review the state of the art and propose a framework for determining the functional hierarchical organization describing any given brain state. We describe the latest advances in creating sophisticated whole-brain computational models with interacting neuronal and neurotransmitter systems that can be studied fully in silico to predict and design novel pharmacological and electromagnetic interventions to rebalance them in disease.

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Language(s): eng - English
 Dates: 2020-09-08
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.celrep.2020.108128
PMID: 32905760
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Project name : CAREGIVING
Grant ID : 615539
Funding program : -
Funding organization : European Research Council
Project name : -
Grant ID : DNRF117
Funding program : -
Funding organization : Danish National Research Foundation
Project name : Spanish Research Project
Grant ID : PID2019-105772GB-I00
Funding program : -
Funding organization : Spanish Ministry of Science, Innovation and Universities (MCIU)
Project name : Human Brain Project (HBP)
Grant ID : 945539
Funding program : -
Funding organization : European Commission
Project name : -
Grant ID : 2017 SGR 1545
Funding program : -
Funding organization : Catalan Agency for Management of University and Research Grants

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Title: Cell Reports
Source Genre: Journal
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Publ. Info: Maryland Heights, MO : Cell Press
Pages: - Volume / Issue: 32 (10) Sequence Number: 108128 Start / End Page: - Identifier: ISSN: 2211-1247
CoNE: https://pure.mpg.de/cone/journals/resource/2211-1247