Mingyue Hu, Rodrigo Dalvit, Mauricio Medina-Pizarro, Maximilian Dougherty, Yajun Zhou, Jonathan Barreto-Nieves, Sami Obaid, Arman Afrasiyabi, Smita Krishnaswamy, Alfred P. Kaye, Murat Günel, John H. Krystal, Kevin N. Sheth, Xiaosi Gu, Christopher P. Pittenger, Toby Wise, Eyiyemisi C. Damisah
{"title":"Human claustrum neurons encode uncertainty and prediction errors during aversive learning","authors":"Mingyue Hu, Rodrigo Dalvit, Mauricio Medina-Pizarro, Maximilian Dougherty, Yajun Zhou, Jonathan Barreto-Nieves, Sami Obaid, Arman Afrasiyabi, Smita Krishnaswamy, Alfred P. Kaye, Murat Günel, John H. Krystal, Kevin N. Sheth, Xiaosi Gu, Christopher P. Pittenger, Toby Wise, Eyiyemisi C. Damisah","doi":"10.1038/s41593-026-02475-x","DOIUrl":null,"url":null,"abstract":"Flexible behavior depends on continuous updating of internal models, yet the neural circuits coordinating this process remain poorly understood. The claustrum, which is reciprocally connected to nearly the entire neocortex, is uniquely positioned to influence cortical processing. Here we report single-neuron recordings from the human claustrum during aversive learning, with anterior cingulate cortex and amygdala recordings for comparison. Claustrum and anterior cingulate neurons displayed structured, task-related responses. Distinct subpopulations encoded stimulus onset and action-contingent outcomes, with outcome representations diverging between regions. Critically, both regions encoded model-derived latent variables, including uncertainty and prediction error, but with different temporal profiles; only the anterior cingulate carried uncertainty signals during the intertrial period, whereas both regions encoded uncertainty and prediction error during the active-avoidance period. By contrast, the amygdala showed minimal latent-variable modulation. These findings provide evidence that human claustrum neurons track higher-order cognitive variables not directly observable from sensory input and reveal dissociable roles for the claustrum and anterior cingulate cortex in tracking latent task states.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":"45 1","pages":""},"PeriodicalIF":20.3000,"publicationDate":"2026-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature neuroscience","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41593-026-02475-x","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Flexible behavior depends on continuous updating of internal models, yet the neural circuits coordinating this process remain poorly understood. The claustrum, which is reciprocally connected to nearly the entire neocortex, is uniquely positioned to influence cortical processing. Here we report single-neuron recordings from the human claustrum during aversive learning, with anterior cingulate cortex and amygdala recordings for comparison. Claustrum and anterior cingulate neurons displayed structured, task-related responses. Distinct subpopulations encoded stimulus onset and action-contingent outcomes, with outcome representations diverging between regions. Critically, both regions encoded model-derived latent variables, including uncertainty and prediction error, but with different temporal profiles; only the anterior cingulate carried uncertainty signals during the intertrial period, whereas both regions encoded uncertainty and prediction error during the active-avoidance period. By contrast, the amygdala showed minimal latent-variable modulation. These findings provide evidence that human claustrum neurons track higher-order cognitive variables not directly observable from sensory input and reveal dissociable roles for the claustrum and anterior cingulate cortex in tracking latent task states.
期刊介绍:
Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority.
The journal offers high visibility to both readers and authors, fostering interdisciplinary communication and accessibility to a broad audience. It maintains high standards of copy editing and production, rigorous peer review, rapid publication, and operates independently from academic societies and other vested interests.
In addition to primary research, Nature Neuroscience features news and views, reviews, editorials, commentaries, perspectives, book reviews, and correspondence, aiming to serve as the voice of the global neuroscience community.