Evidence for a general performance-monitoring system in the human brain

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Zubarev, Ivan
dc.contributor.author Parkkonen, Lauri
dc.date.accessioned 2019-02-25T08:56:44Z
dc.date.available 2019-02-25T08:56:44Z
dc.date.issued 2018-11
dc.identifier.citation Zubarev , I & Parkkonen , L 2018 , ' Evidence for a general performance-monitoring system in the human brain ' Human Brain Mapping , vol. 39 , no. 11 , pp. 4322-4333 . https://doi.org/10.1002/hbm.24273 en
dc.identifier.issn 1065-9471
dc.identifier.issn 1097-0193
dc.identifier.other PURE UUID: fdf54b2a-3283-47b4-b9d2-2a8bf80451e2
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/evidence-for-a-general-performancemonitoring-system-in-the-human-brain(fdf54b2a-3283-47b4-b9d2-2a8bf80451e2).html
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85050659011&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/31419252/Zubarev_et_al_2018_Human_Brain_Mapping.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/36957
dc.description.abstract Adaptive behavior relies on the ability of the brain to form predictions and monitor action outcomes. In the human brain, the same system is thought to monitor action outcomes regardless of whether the information originates from internal (e.g., proprioceptive) and external (e.g., visual) sensory channels. Neural signatures of processing motor errors and action outcomes communicated by external feedback have been studied extensively; however, the existence of such a general action-monitoring system has not been tested directly. Here, we use concurrent EEG-MEG measurements and a probabilistic learning task to demonstrate that event-related responses measured by electroencephalography and magnetoencephalography display spatiotemporal patterns that allow an effective transfer of a multivariate statistical model discriminating the outcomes across the following conditions: (a) erroneous versus correct motor output, (b) negative versus positive feedback, (c) high- versus low-surprise negative feedback, and (d) erroneous versus correct brain-computer-interface output. We further show that these patterns originate from highly-overlapping neural sources in the medial frontal and the medial parietal cortices. We conclude that information about action outcomes arriving from internal or external sensory channels converges to the same neural system in the human brain, that matches this information to the internal predictions. en
dc.format.extent 12
dc.format.extent 4322-4333
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher John Wiley & Sons Inc.
dc.relation.ispartofseries Human Brain Mapping en
dc.relation.ispartofseries Volume 39, issue 11 en
dc.rights openAccess en
dc.subject.other Anatomy en
dc.subject.other Radiological and Ultrasound Technology en
dc.subject.other Radiology Nuclear Medicine and imaging en
dc.subject.other Neurology en
dc.subject.other Clinical Neurology en
dc.subject.other 3112 Neurosciences en
dc.title Evidence for a general performance-monitoring system in the human brain en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Neuroscience and Biomedical Engineering
dc.contributor.department Department of Neuroscience and Biomedical Engineering en
dc.subject.keyword Brain-computer interface
dc.subject.keyword Electroencephalography
dc.subject.keyword Error processing
dc.subject.keyword Error-related negativity
dc.subject.keyword Feedback-related negativity
dc.subject.keyword Machine learning
dc.subject.keyword Magnetoencephalography
dc.subject.keyword Performance monitoring
dc.subject.keyword Reward processing
dc.subject.keyword Anatomy
dc.subject.keyword Radiological and Ultrasound Technology
dc.subject.keyword Radiology Nuclear Medicine and imaging
dc.subject.keyword Neurology
dc.subject.keyword Clinical Neurology
dc.subject.keyword 3112 Neurosciences
dc.identifier.urn URN:NBN:fi:aalto-201902252114
dc.identifier.doi 10.1002/hbm.24273
dc.type.version publishedVersion

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