ArticleFrontiers in human neuroscience2020
Brain Activity Reveals Multiple Motor-Learning Mechanisms in a Real-World Task.
Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Oscillatory dynamics of motor learning across adulthood life span: a systematic review.Frontiers in aging neuroscience · 2025Pooled it
- Enhancing astronaut training: effects of transcranial direct current stimulation on manual rendezvous and docking skill acquisition.Journal of neuroengineering and rehabilitation · 2025Trial
- Isolating error-based and reward-based learning in a real-world task via gradual perturbations in embodied VR.iScience · 2026Article
- Neurophysiological effects of partial gravity on bimanual control: a parabolic flight study.NPJ microgravity · 2026Article
- Roles of beta synchronization for motor skill acquisition change after stroke.Brain communications · 2026Article
- Stroke recovery beyond initial severity: the complementary roles of brain structure and brain function in acute stroke.Brain communications · 2026Article
- Speaker-independent dysarthria severity classification using self-supervised transformers and multi-task learning.PLOS digital health · 2025Article
- Motor learning mechanisms are not modified by feedback manipulations in a real-world task.NPJ science of learning · 2025Article
- Post-stroke changes in brain structure and function can both influence acute upper limb function and subsequent recovery.NeuroImage. Clinical · 2025Article
- Mobile eye-tracking and neuroimaging technologies reveal teaching and learning on the move: bibliometric mapping and content analysis.Psychoradiology · 2025Review
- Training-related changes in neural beta oscillations associated with implicit and explicit motor sequence learning.Scientific reports · 2024Article
- Association of brain-autonomic activities and task accuracy under cognitive load: a pilot study using electroencephalogram, autonomic activity measurements, and arousal level estimated by machine learning.Frontiers in human neuroscience · 2024Article
- Article
- Multicohort cross-sectional study of cognitive and behavioural digital biomarkers in neurodegeneration: the Living Lab Study protocol.BMJ open · 2023Article
- Investigating and acquiring motor expertise using virtual reality.Journal of neurophysiology · 2023Review
- Body Mechanics, Optimality, and Sensory Feedback in the Human Control of Complex Objects.Neural computation · 2023Article
- Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.Sensors (Basel, Switzerland) · 2022Review
- Oscillatory beta/alpha band modulations: A potential biomarker of functional language and motor recovery in chronic stroke?Frontiers in human neuroscience · 2022Review
- The learning-relative hemodynamic modulation of cortical plasticity induced by a force-control motor training.Frontiers in neuroscience · 2022Article
- Playing the piano with a robotic third thumb: assessing constraints of human augmentation.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Many recent studies found signatures of motor learning in neural beta oscillations (13-30 Hz), and specifically in the post-movement beta rebound (PMBR). All these studies were in controlled laboratory-tasks in which the task designed to induce the studied learning mechanism. Interestingly, these studies reported opposing dynamics of the PMBR magnitude over learning for the error-based and reward-based tasks (increase vs. decrease, respectively). Here, we explored the PMBR dynamics during real-world motor-skill-learning in a billiards task using mobile-brain-imaging. Our EEG recordings highlight the opposing dynamics of PMBR magnitudes (increase vs. decrease) between different subjects performing the same task. The groups of subjects, defined by their neural dynamics, also showed behavioral differences expected for different learning mechanisms. Our results suggest that when faced with the complexity of the real-world different subjects might use different learning mechanisms for the same complex task. We speculate that all subjects combine multi-modal mechanisms of learning, but different subjects have different predominant learning mechanisms.
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.