Evidence map›Paper›PMID 41691496›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2026

Motivational state determines error-sensitive learning modes in visual perceptual learning.

Dongho Kim, Zhiyan Wang, Masamichi Sakagami, Yuka Sasaki, Takeo Watanabe

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Dongho KimDepartment of Cognitive and Psychological Sciences, Brown University, 190 Thayer Street Providence RI 02912, United States.ORCID 0000-0002-2619-1234
Zhiyan WangDepartment of Cognitive and Psychological Sciences, Brown University, 190 Thayer Street Providence RI 02912, United States.
Masamichi SakagamiCenter for Brain Research, Tamagawa University, 6-1-1 Tamagawa Gakuen, Machida City, Tokyo, 194-8610, Japan.
Yuka SasakiDepartment of Cognitive and Psychological Sciences, Brown University, 190 Thayer Street Providence RI 02912, United States.
Takeo WatanabeDepartment of Cognitive and Psychological Sciences, Brown University, 190 Thayer Street Providence RI 02912, 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
Institute for Basic Science IBS-R015-D2National Research Foundation of Korea 2016R1C1B2015901NEI NIH HHS R01 EY019466NEI NIH HHS R01 EY027841NEI NIH HHS R01 EY031705NIH HHS R01EY019466NIH HHS R01EY027841NIH HHS R01EY031705
6 · The paper itself

Abstract

Learning from outcomes can rely on distinct computational processes, but how internal motivational states shape these processes during visual perceptual learning (VPL) remains unclear. We investigated how fasting versus satiety modulates feedback processing during an orientation discrimination task with identical reward contingencies, using functional MRI. Both fasted and non-fasted participants showed significant VPL. However, only the fasted group exhibited enhanced post-error accuracy, reflecting increased sensitivity to error information without significantly greater net learning. At the neural level, whole-brain analyses revealed state-dependent dissociations: during fasting, decision-locked activity in the ventral striatum decreased from pre- to post-training, consistent with attenuated prediction-error signaling as outcomes became predictable, whereas under satiety, learning was accompanied by declining activity in the dorsolateral prefrontal cortex, suggesting reduced reliance on executive control. Region-of-interest analyses further showed that fasting selectively enhanced feedback-related responses to incorrect outcomes in dorsal anterior cingulate cortex and primary visual cortex, and these error-related responses were associated with individual differences in perceptual improvement. Together, these results demonstrate that while VPL emerges under both motivational states, motivational state determines how learning is expressed, with fasting promoting error-sensitive, outcome-monitoring learning regime and satiety favoring a more control-driven mode of performance optimization.

Indexed as

BrainLearningMotivationVisual PerceptionAdultBrain MappingFastingFemaleHumansMagnetic Resonance ImagingMalePhotic StimulationRewardYoung Adulterror monitoringfunctional MRImotivational statereward prediction errorvisual perceptual learning

Identifiers

PMID41691496
PMCPMC13370247

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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.