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

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Evidence for a general performance-monitoring system in the human brain. / Zubarev, Ivan; Parkkonen, Lauri.

julkaisussa: Human Brain Mapping, Vuosikerta 39, Nro 11, 11.2018, s. 4322-4333.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Bibtex - Lataa

@article{fdf54b2a328347b4b9d22a8bf80451e2,
title = "Evidence for a general performance-monitoring system in the human brain",
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.",
keywords = "Brain-computer interface, Electroencephalography, Error processing, Error-related negativity, Feedback-related negativity, Machine learning, Magnetoencephalography, Performance monitoring, Reward processing",
author = "Ivan Zubarev and Lauri Parkkonen",
year = "2018",
month = "11",
doi = "10.1002/hbm.24273",
language = "English",
volume = "39",
pages = "4322--4333",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley",
number = "11",

}

RIS - Lataa

TY - JOUR

T1 - Evidence for a general performance-monitoring system in the human brain

AU - Zubarev, Ivan

AU - Parkkonen, Lauri

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - Brain-computer interface

KW - Electroencephalography

KW - Error processing

KW - Error-related negativity

KW - Feedback-related negativity

KW - Machine learning

KW - Magnetoencephalography

KW - Performance monitoring

KW - Reward processing

UR - http://www.scopus.com/inward/record.url?scp=85050659011&partnerID=8YFLogxK

U2 - 10.1002/hbm.24273

DO - 10.1002/hbm.24273

M3 - Article

AN - SCOPUS:85050659011

VL - 39

SP - 4322

EP - 4333

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 11

ER -

ID: 27135040