Evidence map›Paper›PMID 38316210›Full record

ArticleNeuropsychologia2024

Shift in excitation-inhibition balance underlies perceptual learning of temporal discrimination.

Rannie Xu, Edward G Walsh, Takeo Watanabe, Yuka Sasaki

Abstract read
In one paragraph

Article in Neuropsychologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Rannie XuDepartment of Cognitive, Linguistic & Psychological Sciences, United States. Electronic address: miss.rannie.xu@gmail.com.
Edward G WalshDepartment of Neuroscience, Brown University, Providence, 02912, United States.
Takeo WatanabeDepartment of Cognitive, Linguistic & Psychological Sciences, United States.
Yuka SasakiDepartment of Cognitive, Linguistic & Psychological Sciences, United States.

Funding

SYSTEMATIC PSYCHOPHYSICAL INVESTIGATION OF VISUAL LEARNINGR01EY019466 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2009 to 2026
$6.6M
Comprehensive frameworks of perceptual learningR01EY027841 · NEI · BROWN UNIVERSITY · PI Takeo Watanabe · 2018 to 2026
$3.2M
Roles of Non-REM and REM sleep in facilitating visual perceptual learningR01EY031705 · NEI · BROWN UNIVERSITY · PI SASAKI, YUKA · 2021 to 2024
$1.6M
NEI NIH HHS R01 EY019466NEI NIH HHS R01 EY027841NEI NIH HHS R01 EY031705
6 · The paper itself

Abstract

Temporal perceptual learning (TPL) constitutes a unique and profound demonstration of neural plasticity within the brain. Our understanding for the neurometabolic changes associated with TPL on the other hand has been limited in part by the use of traditional fMRI approaches. Since plasticity in the visual cortex has been shown to underlie perceptual learning of visual information, we tested the hypothesis that TPL of an auditory interval involves a similar change in plasticity of the auditory pathway and if so, whether these changes take place in a lower-order sensory-specific brain area such as the primary auditory cortex (A1), or a higher-order modality-independent brain area such as the inferior parietal cortex (IPC). This distinction will inform us of the mechanisms underlying perceptual learning as well as the locus of change as it relates to TPL. In the present study, we took advantage of a new technique: proton magnetic resonance spectroscopy (MRS) in combination with psychophysical measures to provide the first evidence of changes in neurometabolic processing following 5 days of temporal discrimination training. We measured the (E)xcitation-to-(I)nhibition ratio as an index of learning in the right IPC and left A1 while participants learned an auditory two-tone discrimination task. During the first day of training, we found a significant task-related increase in functional E/I ratio within the IPC. While the A1 exhibited the opposite pattern of neurochemical activity, this relationship did not reach statistical significance. After timing performance has reached a plateau, there were no further changes to functional E/I. These findings support the hypothesis that improvements in temporal discrimination relies on neuroplastic changes in the IPC, but it is possible that both areas work synergistically to acquire a temporal interval.

Indexed as

BrainLearningAuditory PerceptionBrain MappingDiscrimination LearningHumansNeuronal PlasticityTemporal LobeLearningMRSNeuroplasticityTime perception

Identifiers

PMID38316210
PMCPMC10923091

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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.