ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2014
Motor cortical correlates of arm resting in the context of a reaching task and implications for prosthetic control.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed.
- Using transient, effector-specific neural responses to gate decoding for brain-computer interfaces.Journal of neural engineering · 2025Trial
- Speech-related dorsal motor cortex activity does not interfere with iBCI cursor control.Journal of neural engineering · 2020Trial
- Duration-modulated neural population dynamics in humans during BMI controls.Communications biology · 2026Article
- Closed-loop error damping in human BCI using pre-error motor cortex activity.bioRxiv : the preprint server for biology · 2026Article
- Classifying motion states from neural activity of non-human primates for brain-computer interfaces.Frontiers in neuroscience · 2026Article
- Motor cortical inactivation impairs corrective submovements in mice performing a hold-still center-out reach task.Journal of neurophysiology · 2024Article
- Real-time brain-machine interface in non-human primates achieves high-velocity prosthetic finger movements using a shallow feedforward neural network decoder.Nature communications · 2022Article
- Classifying Intracortical Brain-Machine Interface Signal Disruptions Based on System Performance and Applicable Compensatory Strategies: A Review.Frontiers in neurorobotics · 2020Review
- Article
- A rodent brain-machine interface paradigm to study the impact of paraplegia on BMI performance.Journal of neuroscience methods · 2018Article
- Modeling task-specific neuronal ensembles improves decoding of grasp.Journal of neural engineering · 2018Article
- Prediction of movement intention using connectivity within motor-related network: An electrocorticography study.PloS one · 2018Article
- Data-Driven Transducer Design and Identification for Internally-Paced Motor Brain Computer Interfaces: A Review.Frontiers in neuroscience · 2018Review
- Motor cortical activity changes during neuroprosthetic-controlled object interaction.Scientific reports · 2017Article
- Neurophysiology and neural engineering: a review.Journal of neurophysiology · 2017Review
- Article
- Interfacing to the brain's motor decisions.Journal of neurophysiology · 2017Review
- Spatiotemporal Distribution of Location and Object Effects in Primary Motor Cortex Neurons during Reach-to-Grasp.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- Review
- Brain-state classification and a dual-state decoder dramatically improve the control of cursor movement through a brain-machine interface.Journal of neural engineering · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Prosthetic devices are being developed to restore movement for motor-impaired individuals. A robotic arm can be controlled based on models that relate motor-cortical ensemble activity to kinematic parameters. The models are typically built and validated on data from structured trial periods during which a subject actively performs specific movements, but real-world prosthetic devices will need to operate correctly during rest periods as well. To develop a model of motor cortical modulation during rest, we trained monkeys (Macaca mulatta) to perform a reaching task with their own arm while recording motor-cortical single-unit activity. When a monkey spontaneously put its arm down to rest between trials, our traditional movement decoder produced a nonzero velocity prediction, which would cause undesired motion when applied to a prosthetic arm. During these rest periods, a marked shift was found in individual units' tuning functions. The activity pattern of the whole population during rest (Idle state) was highly distinct from that during reaching movements (Active state), allowing us to predict arm resting from instantaneous firing rates with 98% accuracy using a simple classifier. By cascading this state classifier and the movement decoder, we were able to predict zero velocity correctly, which would avoid undesired motion in a prosthetic application. Interestingly, firing rates during hold periods followed the Active pattern even though hold kinematics were similar to those during rest with near-zero velocity. These findings expand our concept of motor-cortical function by showing that population activity reflects behavioral context in addition to the direct parameters of the movement itself.
Indexed as
Identifiers
What OpenQuestion holds
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.