{"title":"自动域通用误差信号在任务之间共享,并预测不同感官模式的置信度。","authors":"Matthew J Davidson, Sriraj Aiyer, Nick Yeung","doi":"10.1523/ENEURO.0124-25.2025","DOIUrl":null,"url":null,"abstract":"<p><p>Understanding the ability to self-evaluate decisions is an active area of research. This research has primarily focused on the neural correlates of self-evaluation during visual-tasks, and whether neural correlates before or after the primary decision contribute to self-reported confidence. This focus has been useful, yet the reliance on subjective confidence reports may confound our understanding of key every-day features of metacognitive self-evaluation: that decisions must be rapidly evaluated without explicit feedback, and unfold in a multisensory world. These considerations led us to hypothesise that an automatic domain-general metacognitive signal may be shared between sensory modalities, which we tested in the present study with multivariate decoding of electroencephalographic (EEG) data. Participants (N=21, 12 female) first performed a visual task with no request for self-evaluations of performance, prior to an auditory task that included rating decision confidence on each trial. A multivariate classifier trained to predict errors in the speeded visual-task generalised to distinguish correct and error trials in the subsequent non-speeded auditory discrimination. This generalisation did not occur for classifiers trained on the visual stimulus-locked data and further predicted subjective confidence on the subsequent auditory task. This evidence of overlapping response-locked neural activity provides evidence for automatic encoding of confidence independent of any explicit request for metacognitive reports, and a shared basis for metacognitive evaluations across sensory modalities.<b>Significance Statement</b> Understanding the neural basis of self-evaluation is an important and active area of research. Here we show that neural activity following speeded responses in a visual task can predict accuracy in a later auditory judgment. This neural activity further generalised to predict confidence in the later auditory decision. This automatic encoding of self-evaluation that is shared between sensory modalities is of theoretical and practical importance, for identifying a domain-general marker of confidence that can improve our understanding of human decision making.</p>","PeriodicalId":11617,"journal":{"name":"eNeuro","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An automatic domain-general error signal is shared across tasks and predicts confidence in different sensory modalities.\",\"authors\":\"Matthew J Davidson, Sriraj Aiyer, Nick Yeung\",\"doi\":\"10.1523/ENEURO.0124-25.2025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Understanding the ability to self-evaluate decisions is an active area of research. This research has primarily focused on the neural correlates of self-evaluation during visual-tasks, and whether neural correlates before or after the primary decision contribute to self-reported confidence. This focus has been useful, yet the reliance on subjective confidence reports may confound our understanding of key every-day features of metacognitive self-evaluation: that decisions must be rapidly evaluated without explicit feedback, and unfold in a multisensory world. These considerations led us to hypothesise that an automatic domain-general metacognitive signal may be shared between sensory modalities, which we tested in the present study with multivariate decoding of electroencephalographic (EEG) data. Participants (N=21, 12 female) first performed a visual task with no request for self-evaluations of performance, prior to an auditory task that included rating decision confidence on each trial. A multivariate classifier trained to predict errors in the speeded visual-task generalised to distinguish correct and error trials in the subsequent non-speeded auditory discrimination. This generalisation did not occur for classifiers trained on the visual stimulus-locked data and further predicted subjective confidence on the subsequent auditory task. This evidence of overlapping response-locked neural activity provides evidence for automatic encoding of confidence independent of any explicit request for metacognitive reports, and a shared basis for metacognitive evaluations across sensory modalities.<b>Significance Statement</b> Understanding the neural basis of self-evaluation is an important and active area of research. Here we show that neural activity following speeded responses in a visual task can predict accuracy in a later auditory judgment. This neural activity further generalised to predict confidence in the later auditory decision. This automatic encoding of self-evaluation that is shared between sensory modalities is of theoretical and practical importance, for identifying a domain-general marker of confidence that can improve our understanding of human decision making.</p>\",\"PeriodicalId\":11617,\"journal\":{\"name\":\"eNeuro\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"eNeuro\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1523/ENEURO.0124-25.2025\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"eNeuro","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1523/ENEURO.0124-25.2025","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
An automatic domain-general error signal is shared across tasks and predicts confidence in different sensory modalities.
Understanding the ability to self-evaluate decisions is an active area of research. This research has primarily focused on the neural correlates of self-evaluation during visual-tasks, and whether neural correlates before or after the primary decision contribute to self-reported confidence. This focus has been useful, yet the reliance on subjective confidence reports may confound our understanding of key every-day features of metacognitive self-evaluation: that decisions must be rapidly evaluated without explicit feedback, and unfold in a multisensory world. These considerations led us to hypothesise that an automatic domain-general metacognitive signal may be shared between sensory modalities, which we tested in the present study with multivariate decoding of electroencephalographic (EEG) data. Participants (N=21, 12 female) first performed a visual task with no request for self-evaluations of performance, prior to an auditory task that included rating decision confidence on each trial. A multivariate classifier trained to predict errors in the speeded visual-task generalised to distinguish correct and error trials in the subsequent non-speeded auditory discrimination. This generalisation did not occur for classifiers trained on the visual stimulus-locked data and further predicted subjective confidence on the subsequent auditory task. This evidence of overlapping response-locked neural activity provides evidence for automatic encoding of confidence independent of any explicit request for metacognitive reports, and a shared basis for metacognitive evaluations across sensory modalities.Significance Statement Understanding the neural basis of self-evaluation is an important and active area of research. Here we show that neural activity following speeded responses in a visual task can predict accuracy in a later auditory judgment. This neural activity further generalised to predict confidence in the later auditory decision. This automatic encoding of self-evaluation that is shared between sensory modalities is of theoretical and practical importance, for identifying a domain-general marker of confidence that can improve our understanding of human decision making.
期刊介绍:
An open-access journal from the Society for Neuroscience, eNeuro publishes high-quality, broad-based, peer-reviewed research focused solely on the field of neuroscience. eNeuro embodies an emerging scientific vision that offers a new experience for authors and readers, all in support of the Society’s mission to advance understanding of the brain and nervous system.