ArticleeNeuro
Functional Mechanisms of Recovery after Chronic Stroke: Modeling with the Virtual Brain.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 80 citations in OpenAlex.
- Alterations in topological and dynamical parameters correlate with disease biomarkers and neuropsychological scores in prodromic stages of dementia.Scientific reports · 2026Article
- Translingual neural stimulation induced changes in intra- and inter-network functional connectivity in mild-moderate traumatic brain injury patients.Frontiers in human neuroscience · 2025Article
- Secondary thalamic dysfunction underlies abnormal large-scale neural dynamics in chronic stroke.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Virtual brain twins: from basic neuroscience to clinical use.National science review · 2024Review
- Disentangling neuroplasticity mechanisms in post-stroke language recovery.Brain and language · 2024Review
- Advances in physiological and clinical relevance of hiPSC-derived brain models for precision medicine pipelines.Frontiers in cellular neuroscience · 2024Review
- Recent Progress in Brain Network Models for Medical Applications: A Review.Health data science · 2024Review
- Spectral exponent assessment and neurofilament light chain: a comprehensive approach to describe recovery patterns in stroke.Frontiers in neurology · 2024Article
- Multiscale effects of excitatory-inhibitory homeostasis in lesioned cortical networks: A computational study.PLoS computational biology · 2023Article
- Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias.Frontiers in aging neuroscience · 2023Article
- Whole-brain dynamical modelling for classification of Parkinson's disease.Brain communications · 2023Article
- Patient-specific modeling for guided rehabilitation of stroke patients: the BrainX3 use-case.Frontiers in neurology · 2023Article
- Recovery of neural dynamics criticality in personalized whole-brain models of stroke.Nature communications · 2022Article
- Changes in a sensorimotor network, occipital network, and psychomotor speed within three months after focal surgical injury in pediatric patients with intracranial space-occupying lesions.BMC pediatrics · 2022Article
- Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases.Frontiers in aging neuroscience · 2022Article
- Resting State EEG Directed Functional Connectivity Unveils Changes in Motor Network Organization in Subacute Stroke Patients After Rehabilitation.Frontiers in physiology · 2022Article
- On the influence of prior information evaluated by fully Bayesian criteria in a personalized whole-brain model of epilepsy spread.PLoS computational biology · 2021Article
- Investigating the network consequences of focal brain lesions through comparisons of real and simulated lesions.Scientific reports · 2021Article
- Bridging Scales in Alzheimer's Disease: Biological Framework for Brain Simulation With The Virtual Brain.Frontiers in neuroinformatics · 2021Review
- A Computational Framework for Controlling the Self-Restorative Brain Based on the Free Energy and Degeneracy Principles.Frontiers in computational neuroscience · 2021Article
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Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
Abstract
We have seen important strides in our understanding of mechanisms underlying stroke recovery, yet effective translational links between basic and applied sciences, as well as from big data to individualized therapies, are needed to truly develop a cure for stroke. We present such an approach using The Virtual Brain (TVB), a neuroinformatics platform that uses empirical neuroimaging data to create dynamic models of an individual's human brain; specifically, we simulate fMRI signals by modeling parameters associated with brain dynamics after stroke. In 20 individuals with stroke and 11 controls, we obtained rest fMRI, T1w, and diffusion tensor imaging (DTI) data. Motor performance was assessed pre-therapy, post-therapy, and 6-12 months post-therapy. Based on individual structural connectomes derived from DTI, the following steps were performed in the TVB platform: (1) optimization of local and global parameters (conduction velocity, global coupling); (2) simulation of BOLD signal using optimized parameter values; (3) validation of simulated time series by comparing frequency, amplitude, and phase of the simulated signal with empirical time series; and (4) multivariate linear regression of model parameters with clinical phenotype. Compared with controls, individuals with stroke demonstrated a consistent reduction in conduction velocity, increased local dynamics, and reduced local inhibitory coupling. A negative relationship between local excitation and motor recovery, and a positive correlation between local dynamics and motor recovery were seen. TVB reveals a disrupted post-stroke system favoring excitation-over-inhibition and local-over-global dynamics, consistent with existing mammal literature on stroke mechanisms. Our results point to the potential of TVB to determine individualized biomarkers of stroke recovery.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.