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Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation.
Dagnino, Paulina Clara; Escrichs, Anira; López-González, Ane; Gosseries, Olivia; Annen, Jitka; Sanz Perl, Yonatan; Kringelbach, Morten L; Laureys, Steven; Deco, Gustavo.
Affiliation
  • Dagnino PC; Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
  • Escrichs A; Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
  • López-González A; Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
  • Gosseries O; Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium.
  • Annen J; Centre du Cerveau 2, University Hospital of Liège, Liège, Belgium.
  • Sanz Perl Y; Coma Science Group, GIGA Consciousness, University of Liège, Liège, Belgium.
  • Kringelbach ML; Centre du Cerveau 2, University Hospital of Liège, Liège, Belgium.
  • Laureys S; Computational Neuroscience Group, Center for Brain and Cognition, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Catalonia, Spain.
  • Deco G; Institut du Cerveau et de la Moelle épinière, ICM, Paris, France.
PLoS Comput Biol ; 20(5): e1011350, 2024 May.
Article in En | MEDLINE | ID: mdl-38701063
ABSTRACT
A fundamental challenge in neuroscience is accurately defining brain states and predicting how and where to perturb the brain to force a transition. Here, we investigated resting-state fMRI data of patients suffering from disorders of consciousness (DoC) after coma (minimally conscious and unresponsive wakefulness states) and healthy controls. We applied model-free and model-based approaches to help elucidate the underlying brain mechanisms of patients with DoC. The model-free approach allowed us to characterize brain states in DoC and healthy controls as a probabilistic metastable substate (PMS) space. The PMS of each group was defined by a repertoire of unique patterns (i.e., metastable substates) with different probabilities of occurrence. In the model-based approach, we adjusted the PMS of each DoC group to a causal whole-brain model. This allowed us to explore optimal strategies for promoting transitions by applying off-line in silico probing. Furthermore, this approach enabled us to evaluate the impact of local perturbations in terms of their global effects and sensitivity to stimulation, which is a model-based biomarker providing a deeper understanding of the mechanisms underlying DoC. Our results show that transitions were obtained in a synchronous protocol, in which the somatomotor network, thalamus, precuneus and insula were the most sensitive areas to perturbation. This motivates further work to continue understanding brain function and treatments of disorders of consciousness.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Brain / Magnetic Resonance Imaging / Consciousness Disorders / Models, Neurological Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computer Simulation / Brain / Magnetic Resonance Imaging / Consciousness Disorders / Models, Neurological Limits: Adult / Aged / Female / Humans / Male / Middle aged Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Country of publication: