ArticlePLoS computational biology2024
Re-awakening the brain: Forcing transitions in disorders of consciousness by external in silico perturbation.
Article in PLoS computational biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Dynamic Repertoire of Brain Networks in Mindfulness-Based Cognitive Therapy During Rumination: A Randomized Controlled Trial.Biological psychiatry global open science · 2026Article
- A personalized map of where, when, and how to stimulate the brain to elicit controlled responses.bioRxiv : the preprint server for biology · 2026Article
- A Virtual Clinical Trial of Psychedelics to Treat Patients With Disorders of Consciousness.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Distinct neurologic state in patients with traumatic brain injury and hemorrhagic stroke during the stage of acute disorders of consciousness and the correlation with the neurological prognosis: A multi-modal PET/rs-fMRI study.NeuroImage. Clinical · 2026Article
- Multimodal PET/MR imaging of prolonged disorders of consciousness: a pilot feasibility study.Frontiers in neuroscience · 2026Article
- Reconfiguration of functional brain hierarchy in schizophrenia.Translational psychiatry · 2025Article
- Disrupted hierarchical organization in disorders of consciousness revealed by fluctuation-dissipation deviations.bioRxiv : the preprint server for biology · 2025Article
- Understanding the high-order network plasticity mechanisms of ultrasound neuromodulation.PLoS computational biology · 2025Article
- Noradrenaline and acetylcholine shape functional connectivity organization of NREM substages: An empirical and simulation study.PLoS computational biology · 2025Article
- Understanding Altered Dynamics in Cocaine Use Disorder Through State Transitions Mediated by Artificial Perturbations.Brain sciences · 2025Article
- Adaptive Whole-Brain Dynamics Predictive Method: Relevancy to Mental Disorders.Research (Washington, D.C.) · 2025Article
- Whole brain modelling for simulating pharmacological interventions on patients with disorders of consciousness.Communications biology · 2024Article
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9 authors.
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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.
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