Vohryzek, JakubCabral, JoanaCastaldo, FrancescaSanz-Perl, YonatanLord, Louis-DavidFernandes, Henrique M.Litvak, VladimirKringelbach, Morten L.Deco, Gustavo2023-03-132023-03-132023Vohryzek J, Cabral J, Castaldo F, Sanz-Perl Y, Lord LD, Fernandes HM, et al. Dynamic sensitivity analysis: defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal. 2023;21:335-45. DOI: 10.1016/j.csbj.2022.11.0602001-0370http://hdl.handle.net/10230/56181Traditionally, 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.application/pdfeng© 2022 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/).info:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.csbj.2022.11.060Spatio-temporal dynamicsBrain stimulationWhole-brain modelsBrain Stateinfo:eu-repo/semantics/openAccess