Academic Journal
Brain-Computer Interface Training Fosters Perceptual Skills to Detect Errors.
| Τίτλος: | Brain-Computer Interface Training Fosters Perceptual Skills to Detect Errors. |
|---|---|
| Συγγραφείς: | Liu DH; Chandra Family Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA., Iwane F; National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, Maryland, USA., Zhang M; Chandra Family Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA., Cohen LG; National Institute of Neurological Disorders and Stroke, National Institute of Health, Bethesda, Maryland, USA., Millán JDR; Chandra Family Department of Electrical and Computer Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA.; Department of Neurology, Dell Medical School, The University of Texas at Austin, Austin, Texas, USA.; Department of Biomedical Engineering, Cockrell School of Engineering, The University of Texas at Austin, Austin, Texas, USA.; Mulva Clinic for the Neurosciences, The University of Texas at Austin, Austin, Texas, USA. |
| Πηγή: | Advanced science (Weinheim, Baden-Wurttemberg, Germany) [Adv Sci (Weinh)] 2026 Oct; Vol. 13 (55), pp. e76153. Date of Electronic Publication: 2026 Jul 15. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: WILEY-VCH Country of Publication: Germany NLM ID: 101664569 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2198-3844 (Electronic) Linking ISSN: 21983844 NLM ISO Abbreviation: Adv Sci (Weinh) Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Weinheim : WILEY-VCH, [2014]- |
| Ιατρικοί όροι (MeSH): | Learning*/physiology , Psychomotor Performance*/physiology , Brain-Computer Interfaces*, Humans ; Male ; Female ; Electroencephalography ; Adult ; Longitudinal Studies |
| Περίληψη: | Accurate perception of subtle visuo-motor errors is essential for perceptual and sensorimotor learning, and supports timely corrective actions in precision-based task. However, conventional perceptual training, typically based on response-accuracy feedback, is limited in improving sensitivity to small, subtle errors. While prior approaches have focused on modulating sensory regions to enhance perceptual learning, we propose an alternative approach that targets a cognitive neural marker: the error positivity (Pe), a component of the error-related potential (ErrP) originating in the anterior cingulate cortex, a key decision-making region. We hypothesize that the Pe, which reflects conscious awareness of errors, serves as a modifiable neural correlate of error perception. In a five-day longitudinal study, we show that providing real-time feedback on the presence or absence of ErrPs during perceptual training accelerates perceptual learning at INLINEMATH errors and enhances perceptual performance at INLINEMATH errors without accelerating the learning rate, relative to behavioral training alone. These behavioral gains were accompanied by increase in Pe amplitude. Together, these findings offer new neurophysiological insights into the mechanisms of error perception, and establish ErrP-based brain-computer interface interventions as a promising approach for fostering perceptual learning in domains where detecting subtle errors is critical. (© 2026 The Author(s). Advanced Science published by Wiley‐VCH GmbH.) |
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| Grant Information: | Intramural Research Program of the National Institutes of Health (NIH) |
| Contributed Indexing: | Keywords: brain‐computer interface; electroencephalography; error perception; error‐related potentials; perceptual learning |
| Entry Date(s): | Date Created: 20260715 Date Completed: 20261005 Latest Revision: 20261005 |
| Update Code: | 20261005 |
| PubMed Central ID: | PMC13370092 |
| DOI: | 10.1002/advs.76153 |
| PMID: | 42452959 |
| Βάση Δεδομένων: | MEDLINE |
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