ReviewNature communications2025
Reward signals in the motor cortex: from biology to neurotechnology.
Review in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Effects of Different Repetitive Transcranial Magnetic Stimulation Targets for Enhancing Motor Learning: A Single-Blind Randomized Controlled Trial.Neural plasticity · 2026Trial
- Medial premotor cortex as a potential reservoir of reward expectancy signals influencing the primate frontoparietal network.Communications biology · 2026Article
- Temporal interference stimulation for deep brain neuromodulation in humans.Nature biomedical engineering · 2026Review
- Incentive valence differentially engages open- and closed-loop basal ganglia circuits during movement initiation.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Cortex-wide characterization of decision-making neural dynamics during spatial navigation.Nature communications · 2026Article
- The role of dopamine-sensitive motor cortical circuits in the development and execution of skilled forelimb movements.iScience · 2026Article
- Hierarchical Distribution of Reward Representation in the Cortical and Hippocampal Regions.eNeuro · 2026Article
- Recent advances of in situ and in vivo electrochemical analysis of brain chemistry at micro- and nanoscale.QRB discovery · 2026Review
- Mapping neural subspace dynamics onto the structure of the mouse descending motor system.bioRxiv : the preprint server for biology · 2025Article
- Uncertainty Shapes Neural Dynamics in Motor Cortex During Reaching.bioRxiv : the preprint server for biology · 2025Article
- The time-course of action control: measuring conditioned action tendencies and action suppression using transcranial magnetic stimulation.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Reward influences movement vigor through multiple motor cortical mechanisms.bioRxiv : the preprint server for biology · 2025Article
- A narrative review of AI-driven stroke rehabilitation systems through the lens of human motor learning.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Over the past decade, research has shown that the primary motor cortex (M1), the brain's main output for movement, also responds to rewards. These reward signals may shape motor output in its final stages, influencing movement invigoration and motor learning. In this Perspective, we highlight the functional roles of M1 reward signals and propose how they could guide advances in neurotechnologies for movement restoration, specifically brain-computer interfaces and non-invasive brain stimulation. Understanding M1 reward signals may open new avenues for enhancing motor control and rehabilitation.
Indexed as
Identifiers
What Socratic 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 Socratic graph.