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Occipital and parietal non-invasive brain stimulation enhances perceptual learning and transfer: evidence from high-frequency tRNS.

Overview

Authors: Yating Jin1,2, Zhen Zhen1,2, Rui Hua1,2, Yue Ding1,2, Yonghui Wang1,2, Ya Li1,2
  1. School of Psychology, Shaanxi Normal University, Xi’an, China
  2. Shaanxi Provincial Key Laboratory of Behavior and Cognitive Neuroscience, Shaanxi Normal University, Xi’an, China
Institutions: Shaanxi Normal University (China)
Journal: Frontiers in neuroscience, volume 20, article 1794676
Dates: received 23 January 2026; accepted 22 May 2026; published online 11 June 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fnins.2026.1794676 · PMID 42368203 · PMCID PMC13294261 · OpenAlex W7164406959
Open access: gold, a free copy (OpenAlex)
Status: code found, not verified yet
Categories: cognitive (subfield)
Methods: Statistics, Preprocessing
Keywords: contour detection, learning transfer, occipital cortex, parietal cortex, perceptual learning, transcranial random noise stimulation
Topic: Transcranial Magnetic Stimulation Studies (Neurology, Neuroscience), according to OpenAlex
Funding: Fundamental Research Funds for the Central Universities (GK202301002)
Citations: not cited yet (Europe PMC); 82 references in the paper

Abstract

Perceptual training yields specific, long-lasting improvements, yet its transfer to untrained conditions is often limited. This tension has been proposed to involve interactions between early sensory plasticity and higher-order parietal processes, with the early visual cortex contributing to stimulus-specific learning and parietal regions potentially supporting more flexible generalization. However, causal evidence comparing how occipital and parietal stimulation modulates learning and transfer remains limited. To address this gap, we combined high-frequency transcranial random noise stimulation (tRNS) with a classical perceptual training paradigm. We examined whether occipital and parietal tRNS differentially enhance learning and whether they modulate transfer. Forty-one participants were randomly assigned to one of three groups: active tRNS over occipital cortex, active tRNS over parietal cortex, or sham stimulation, during multi-session training on a contour detection task. Results revealed that the learning dynamics exhibited distinct stage-specific modulations, with parietal tRNS accelerating early-stage acquisition and occipital tRNS sustaining learning rates during the later asymptotic phase. Furthermore, both active stimulations significantly increased the overall magnitude of learning gains compared to sham. Importantly, however, only parietal tRNS reliably enhanced transfer, particularly across curvature. These results provide causal evidence that occipital and parietal stimulation differentially modulate the behavioral dynamics of perceptual learning and transfer. This pattern is consistent with hierarchical accounts in which sensory and higher-order systems may contribute differently to learning stability and flexibility, while also highlighting the potential of targeted neuromodulation to enhance distinct phases and outcomes of perceptual learning.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

No file of the authors' code could be read here: it is described below, and read at its source.

OSF bs2gt

License: none: the authors keep all their rights
State: unreachable at the last attempt, verified on 29 September 2026
Evidence: found in the paper
Software Heritage: not checked
Found in: “Data availability statement”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 5 checks, the latest on 29 September 2026: unreachable at the last attempt (HTTP 401)
  • 29 September 2026: unreachable at the last attempt (HTTP 401)
  • 28 September 2026: unreachable at the last attempt (HTTP 401)
  • 28 September 2026: unreachable at the last attempt (HTTP 401)
  • 27 September 2026: unreachable at the last attempt (HTTP 401)
  • 27 September 2026: unreachable at the last attempt (HTTP 401)
At the source: osf.io/bs2gt/

The paper's code and data availability statement is in the Data section.

Tracing map

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Data

No dataset and no data link were found in the paper.

Data availability statement

All data, analysis, and task codes have been made publicly available on the Open Science Framework and can be accessed at https://osf.io/bs2gt/.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

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Version 2, 28 September 2026

  • Funding: added Fundamental Research Funds for the Central Universities: GK202301002

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 6 authors, 6 keywords, 82 references.

Cite

This paper

Jin, Y., Zhen, Z., Hua, R., Ding, Y., Wang, Y., & Li, Y. (2026). Occipital and parietal non-invasive brain stimulation enhances perceptual learning and transfer: evidence from high-frequency tRNS. Frontiers in neuroscience, 20, 1794676. https://doi.org/10.3389/fnins.2026.1794676

BibTeX

@article{jin2026occipital,
author = {Jin, Yating and Zhen, Zhen and Hua, Rui and Ding, Yue and Wang, Yonghui and Li, Ya},
title = {{Occipital and parietal non-invasive brain stimulation enhances perceptual learning and transfer: evidence from high-frequency tRNS}},
journal = {Frontiers in neuroscience},
year = {2026},
month = jun,
volume = {20},
pages = {1794676},
publisher = {Frontiers Media SA},
issn = {1662-4548},
doi = {10.3389/fnins.2026.1794676},
url = {https://doi.org/10.3389/fnins.2026.1794676},
pmid = {42368203},
pmcid = {PMC13294261}
}

RIS

TY - JOUR
AU - Jin, Yating
AU - Zhen, Zhen
AU - Hua, Rui
AU - Ding, Yue
AU - Wang, Yonghui
AU - Li, Ya
TI - Occipital and parietal non-invasive brain stimulation enhances perceptual learning and transfer: evidence from high-frequency tRNS
T2 - Frontiers in neuroscience
J2 - Front Neurosci
PY - 2026
DA - 2026/06/11
VL - 20
SP - 1794676
SN - 1662-4548
PB - Frontiers Media SA
DO - 10.3389/fnins.2026.1794676
UR - https://doi.org/10.3389/fnins.2026.1794676
LA - en
ER -

CSL-JSON

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