ArticleScientific reports2017
EEG topographies provide subject-specific correlates of motor control.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed, 46 citations in OpenAlex.
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- Quantifying and evaluating motor imagery ability using EEG microstates in MI-BCI training.Experimental brain research · 2025Article
- Neural representation of self-initiated locomotion in the secondary motor cortex of mice across different environmental contexts.Communications biology · 2025Article
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- In vivo electrophysiology recordings and computational modeling can predict octopus arm movement.Bioelectronic medicine · 2025Article
- Electro-tactile modulation of muscle activation and intermuscular coordination in the human upper extremity.Scientific reports · 2025Article
- Single unit electrophysiology recordings and computational modeling can predict octopus arm movement.bioRxiv : the preprint server for biology · 2024Article
- Apathy scores in Parkinson's disease relate to EEG components in an incentivized motor task.Brain communications · 2024Article
- Neuromuscular Mechanisms of Motor Adaptation to Repeated Treadmill-Slip Perturbations During Stance in Healthy Young Adults.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024Article
- Microstates of the cortical brain-heart axis.Human brain mapping · 2023Article
- The correlation between upper body grip strength and resting-state EEG network.Medical & biological engineering & computing · 2023Article
- Editorial: Machine learning and signal processing for neurotechnologies and brain-computer interactions out of the lab.Frontiers in neuroergonomics · 2023Article
- Error-related brain state analysis using electroencephalography in conjunction with functional near-infrared spectroscopy during a complex surgical motor task.Brain informatics · 2022Article
- EEG Microstate-Specific Functional Connectivity and Stroke-Related Alterations in Brain Dynamics.Frontiers in neuroscience · 2022Article
- Experimental Protocol to Assess Neuromuscular Plasticity Induced by an Exoskeleton Training Session.Methods and protocols · 2021Article
- Brain-inspired spiking neural networks for decoding and understanding muscle activity and kinematics from electroencephalography signals during hand movements.Scientific reports · 2021Article
- EEG signals respond differently to idea generation, idea evolution and evaluation in a loosely controlled creativity experiment.Scientific reports · 2021Article
- Intrinsic Brain Activity in Temporal Lobe Epilepsy With and Without Depression: Insights From EEG Microstates.Frontiers in neurology · 2021Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalography (EEG) of brain activity can be represented in terms of dynamically changing topographies (microstates). Notably, spontaneous brain activity recorded at rest can be characterized by four distinctive topographies. Despite their well-established role during resting state, their implication in the generation of motor behavior is debated. Evidence of such a functional role of spontaneous brain activity would provide support for the design of novel and sensitive biomarkers in neurological disorders. Here we examined whether and to what extent intrinsic brain activity contributes and plays a functional role during natural motor behaviors. For this we first extracted subject-specific EEG microstates and muscle synergies during reaching-and-grasping movements in healthy volunteers. We show that, in every subject, well-known resting-state microstates persist during movement execution with similar topographies and temporal characteristics, but are supplemented by novel task-related microstates. We then show that the subject-specific microstates' dynamical organization correlates with the activation of muscle synergies and can be used to decode individual grasping movements with high accuracy. These findings provide first evidence that spontaneous brain activity encodes detailed information about motor control, offering as such the prospect of a novel tool for the definition of subject-specific biomarkers of brain plasticity and recovery in neuro-motor disorders.
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