Evidence map›Paper›PMID 27051066›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Perceptual learning modifies the functional specializations of visual cortical areas.

Nihong Chen, Peng Cai, Tiangang Zhou, Benjamin Thompson, Fang Fang

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 110 citations in OpenAlex.

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  5. The Evolving Landscape of Vision Rehabilitation: Current Status and Future Directions.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Nihong ChenDepartment of Psychology, Peking University, Beijing 100871, People's Republic of China; Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, People's Republic of China; Key Laboratory of Machine Perception, Ministry of Education, Peking University, Beijing 100871, People's Republic of China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, People's Republic of China; Peking University - International Data Group/McGovern Institute for Brain Research, Peking University, Beijing 100871, People's Republic of China;
Peng CaiDepartment of Psychology, Peking University, Beijing 100871, People's Republic of China; Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, People's Republic of China; Key Laboratory of Machine Perception, Ministry of Education, Peking University, Beijing 100871, People's Republic of China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, People's Republic of China; Peking University - International Data Group/McGovern Institute for Brain Research, Peking University, Beijing 100871, People's Republic of China;
Tiangang ZhouState Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, People's Republic of China;
Benjamin ThompsonSchool of Optometry and Vision Science, University of Waterloo, Waterloo, ON N2L 3G1, Canada; School of Optometry and Vision Science, University of Auckland, Auckland 92019, New Zealand.
Fang FangDepartment of Psychology, Peking University, Beijing 100871, People's Republic of China; Beijing Key Laboratory of Behavior and Mental Health, Peking University, Beijing 100871, People's Republic of China; Key Laboratory of Machine Perception, Ministry of Education, Peking University, Beijing 100871, People's Republic of China; Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, People's Republic of China; Peking University - International Data Group/McGovern Institute for Brain Research, Peking University, Beijing 100871, People's Republic of China; ffang@pku.edu.cn.
Chinese Institute for Brain Research · CNInstitute of Biophysics · CNPeking University · CNUniversity of Waterloo · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Training can improve performance of perceptual tasks. This phenomenon, known as perceptual learning, is strongest for the trained task and stimulus, leading to a widely accepted assumption that the associated neuronal plasticity is restricted to brain circuits that mediate performance of the trained task. Nevertheless, learning does transfer to other tasks and stimuli, implying the presence of more widespread plasticity. Here, we trained human subjects to discriminate the direction of coherent motion stimuli. The behavioral learning effect substantially transferred to noisy motion stimuli. We used transcranial magnetic stimulation (TMS) and functional magnetic resonance imaging (fMRI) to investigate the neural mechanisms underlying the transfer of learning. The TMS experiment revealed dissociable, causal contributions of V3A (one of the visual areas in the extrastriate visual cortex) and MT+ (middle temporal/medial superior temporal cortex) to coherent and noisy motion processing. Surprisingly, the contribution of MT+ to noisy motion processing was replaced by V3A after perceptual training. The fMRI experiment complemented and corroborated the TMS finding. Multivariate pattern analysis showed that, before training, among visual cortical areas, coherent and noisy motion was decoded most accurately in V3A and MT+, respectively. After training, both kinds of motion were decoded most accurately in V3A. Our findings demonstrate that the effects of perceptual learning extend far beyond the retuning of specific neural populations for the trained stimuli. Learning could dramatically modify the inherent functional specializations of visual cortical areas and dynamically reweight their contributions to perceptual decisions based on their representational qualities. These neural changes might serve as the neural substrate for the transfer of perceptual learning.

Indexed as

LearningNeuronal PlasticityPsychomotor PerformanceAdultFemaleHumansMagnetic Resonance ImagingMaleMotion PerceptionPsychophysicsTranscranial Magnetic StimulationVisual Cortexfunctional magnetic resonance imagingmotionperceptual learningpsychophysicstranscranial magnetic stimulation

Identifiers

PMID27051066
PMCPMC4878474
OpenAlexW2334866619

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.