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  Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling

Vohryzek, J., Cabral, J., Castaldo, F., Sanz-Perl, Y., Lord, L.-D., Fernandes, H., et al. (2023). Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal, 21, 335-345. doi:10.1016/j.csbj.2022.11.060.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-CA33-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-F0D6-3
Genre: Journal Article

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 Creators:
Vohryzek, Jakub1, 2, Author
Cabral, Joana1, Author
Castaldo, Francesca3, Author
Sanz-Perl, Yonatan4, 5, Author
Lord, Louis-David1, Author
Fernandes, Henrique1, 6, Author
Litvak, Vladimir3, 7, Author
Kringelbach, Morten L.1, 2, 6, Author
Deco, Gustavo4, 6, 8, 9, Author           
Affiliations:
1Centre for Eudaimonia and Human Flourishing, University of Oxford, United Kingdom, ou_persistent22              
2Department of Psychiatry, University of Oxford, United Kingdom, ou_persistent22              
3UCL Queen Square Institute of Neurology, University College London, 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              
5National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina, ou_persistent22              
6Center for Music in the Brain, Aarhus University, Denmark, ou_persistent22              
7School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
8Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
9Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              

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Free keywords: Spatio-temporal dynamics; Brain stimulation; Whole-brain models; Brain State
 Abstract: Traditionally, in neuroimaging, model-free analyses are used to find significant differences between brain states via signal detection theory. Depending on the a priori assumptions about the underlying data, different spatio-temporal features can be analysed. Alternatively, model-based techniques infer features from the data and compare significance from model parameters. However, to assess transitions from one brain state to another remains a challenge in current paradigms. Here, we introduce a “Dynamic Sensitivity Analysis” framework that quantifies transitions between brain states in terms of stimulation ability to rebalance spatio-temporal brain activity towards a target state such as healthy brain dynamics. In practice, it means building a whole-brain model fitted to the spatio-temporal description of brain dynamics, and applying systematic stimulations in-silico to assess the optimal strategy to drive brain dynamics towards a target state. Further, we show how Dynamic Sensitivity Analysis extends to various brain stimulation paradigms, ultimately contributing to improving the efficacy of personalised clinical interventions.

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Language(s): eng - English
 Dates: 2022-11-282022-07-312022-11-282022-12-012023
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1016/j.csbj.2022.11.060
Other: eCollection 2023
PMID: 36582443
PMC: PMC9792354
 Degree: -

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Project name : -
Grant ID : 101017716
Funding program : Horizon 2020
Funding organization : European Union
Project name : -
Grant ID : UIDB/50026/2020, UIDP/50026/2020 and CEECIND/03325/2017
Funding program : -
Funding organization : Portuguese Foundation for Science and Technology
Project name : -
Grant ID : 860563
Funding program : -
Funding organization : European School of Network Neuroscience
Project name : -
Grant ID : 203147/Z/16/Z
Funding program : -
Funding organization : Wellcome Centre for Human Neuroimaging
Project name : -
Grant ID : EP/V013068/1 and EP/V03474X/1
Funding program : -
Funding organization : Engineering and Physical Sciences Research Council (EPRSC)
Project name : -
Grant ID : 945539
Funding program : -
Funding organization : Human Brain Project (HBP)
Project name : -
Grant ID : 2017 SGR 1545
Funding program : -
Funding organization : Catalan Agency for Management of University and Research
Project name : -
Grant ID : 001-P-001682
Funding program : -
Funding organization : The Emerging Human Brain Cluster (CECH)
Project name : -
Grant ID : 201725.33
Funding program : -
Funding organization : Fundacio La Marato TV3
Project name : -
Grant ID : PCI2018-092891
Funding program : -
Funding organization : MCIU, AEI

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Title: Computational and Structural Biotechnology Journal
Source Genre: Journal
 Creator(s):
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Publ. Info: Amsterdam : Elsevier
Pages: - Volume / Issue: 21 Sequence Number: - Start / End Page: 335 - 345 Identifier: ISSN: 2001-0370
CoNE: https://pure.mpg.de/cone/journals/resource/2001-0370