ArticleFrontiers in systems neuroscience2020
Experimental and Computational Study on Motor Control and Recovery After Stroke: Toward a Constructive Loop Between Experimental and Virtual Embodied Neuroscience.
Article in Frontiers in systems neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 35 citations in OpenAlex.
- Article
- Animal models in neuroscience with alternative approaches: Evolutionary, biomedical, and ethical perspectives.Animal models and experimental medicine · 2024Review
- Article
- A modular and adaptable analysis pipeline to compare slow cerebral rhythms across heterogeneous datasets.Cell reports methods · 2024Article
- An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control.Frontiers in computational neuroscience · 2024Article
- Acute ischemic STROKE - from laboratory to the Patient's BED (STROKELABED): A translational approach to reperfusion injury. Study Protocol.Translational neuroscience · 2024Article
- Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics.PLoS computational biology · 2023Article
- White-matter degradation and dynamical compensation support age-related functional alterations in human brain.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Assessing brain state and anesthesia level with two-photon calcium signals.Scientific reports · 2023Article
- Photothrombotic Middle Cerebral Artery Occlusion in Mice: A Novel Model of Ischemic Stroke.eNeuro · 2023Article
- Embodied bidirectional simulation of a spiking cortico-basal ganglia-cerebellar-thalamic brain model and a mouse musculoskeletal body model distributed across computers including the supercomputer Fugaku.Frontiers in neurorobotics · 2023Article
- A perspective on large-scale simulation as an enabler for novel biorobotics applications.Frontiers in robotics and AI · 2023Article
- Linking cortex and contraction-Integrating models along the corticomuscular pathway.Frontiers in physiology · 2023Article
- Normalizing the brain connectome for communication through synchronization.Network neuroscience (Cambridge, Mass.) · 2022Article
- Tracking the Effect of Therapy With Single-Trial Based Classification After Stroke.Frontiers in systems neuroscience · 2022Article
- Reproducing a decision-making network in a virtual visual discrimination task.Frontiers in integrative neuroscience · 2022Article
- Brain architecture-based vulnerability to traumatic injury.Frontiers in bioengineering and biotechnology · 2022Article
- The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments.Frontiers in neurorobotics · 2022Article
- Evaluating Muscle Synergies With EMG Data and Physics Simulation in the Neurorobotics Platform.Frontiers in neurorobotics · 2022Article
- Extracting Dynamical Understanding From Neural-Mass Models of Mouse Cortex.Frontiers in computational neuroscience · 2022Article
Corrections and comments
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Authors and funding
23 authors at 9 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Being able to replicate real experiments with computational simulations is a unique opportunity to refine and validate models with experimental data and redesign the experiments based on simulations. However, since it is technically demanding to model all components of an experiment, traditional approaches to modeling reduce the experimental setups as much as possible. In this study, our goal is to replicate all the relevant features of an experiment on motor control and motor rehabilitation after stroke. To this aim, we propose an approach that allows continuous integration of new experimental data into a computational modeling framework. First, results show that we could reproduce experimental object displacement with high accuracy via the simulated embodiment in the virtual world by feeding a spinal cord model with experimental registration of the cortical activity. Second, by using computational models of multiple granularities, our preliminary results show the possibility of simulating several features of the brain after stroke, from the local alteration in neuronal activity to long-range connectivity remodeling. Finally, strategies are proposed to merge the two pipelines. We further suggest that additional models could be integrated into the framework thanks to the versatility of the proposed approach, thus allowing many researchers to achieve continuously improved experimental design.
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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.