Implementation of error-processing in the human anterior cingulate cortex: a source analysis of the magnetic equivalent of the error-related negativity

Miltner, Wolfgang H. R.; Lemke, Ulrike; Weiß, Thomas; Holroyd, Clay B.; Scheffers, Marten K.; Coles, Michael

doi:10.1016/s0301-0511(03)00107-8

Cited by 206 publications

(149 citation statements)

References 23 publications

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“…Extracting patterns of source activations associated with successful cross‐condition generalization revealed sources in the dACC (BA 32) and the PCC (BA 23,31), known to be involved in outcome processing (Agam et al, 2011; Becker, Nitsch, Miltner, & Straube, 2014; Keil et al, 2010; Miltner et al, 2003). In contrast to these studies, however, we specifically estimated sources that contributed to the transfer across the conditions (Figure 4).…”

Section: Discussionmentioning

confidence: 99%

“…EEG and MEG source modeling also supported common neural generator in the dorsal anterior cingulate cortex (dACC, Keil et al, 2010; Miltner et al, 2003; Nieuwenhuis, Slagter, von Geusau, Heslenfeld, & Holroyd, 2005). Other studies suggest a more posterior medial sources of FRN or ERN (posterior cingulate cortex and precuneus) (Agam et al, 2011; Doñamayor, Heilbronner, & Münte, 2012a).…”

Section: Introductionmentioning

confidence: 89%

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

Zubarev

Parkkonen

2018

Human Brain Mapping

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 89%

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

Zubarev

Parkkonen

2018

Human Brain Mapping

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“…Analyses were conducted on the four midline sites due to evidence that localizes the ERN and Pe at or near the ACC [12,17,28,41,57], which would correspond to the FCz electrode site. ERN and Pe data were analyzed separately for each instruction condition using 2 (SE: high, low) × 2 (Accuracy: error, correct) mixed-model multivariate analyses of variance (MANOVA) with repeated measures.…”

Section: Discussionmentioning

confidence: 99%

“…The ERN peaks shortly after behavioral responses and is maximal over fronto-central recording sites [21,25]. The source of the ERN has been localized at or very near the caudal region of the ACC using multiple neuroimaging techniques; including dipole localization [17,57], functional magnetic resonance imaging [12], and magnetoencephalography [41]. The ERN has been theorized to reflect the detection of response conflict [11,12,61] or the transmission of a reinforcement learning signal to the ACC [30].…”

Section: Action Monitoring Indicesmentioning

confidence: 99%

Self-efficacy effects on neuroelectric and behavioral indices of action monitoring in older adults

Themanson

Hillman

McAuley

et al. 2008

Neurobiology of Aging

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The relationships between self-efficacy (SE), i.e., beliefs in personal capabilities, and behavioral and neuroelectric (i.e., ERN, Pe) indices of action monitoring were investigated in 40 older adults (13 male) during the completion of a flanker paradigm performed under task conditions emphasizing either accuracy or speed. SE relative to task performance during both conditions was assessed prior to each cognitive task. Results indicated that high-SE older adults exhibited larger ERN and Pe amplitudes compared to low-SE older adults under the accuracy instruction condition. Additionally, a moderating effect of SE on the relationship between ERN and post-error response accuracy was revealed in the accuracy condition, with greater ERN amplitude associated with greater post-error accuracy in the high-SE group. No significant relationships were evident between ERN and posterror accuracy in the low-SE group. Further, no significant relationships involving SE were observed in the speed condition. The findings suggest that SE may be related to neuroelectric and behavioral indices of action monitoring in older adults when task demands require greater attention to action monitoring processes.

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“…Source localization results point to the dorsal anterior cingulate cortex (dACC) as the main generator of both ERN (Dehaene et al, 1994;Yeung et al, 2004;van Veen and Carter, 2006) and FRN (Miltner et al, 1997), and the implication of the dorsal ACC in error detection (and correction) has been confirmed with various neuroimaging techniques, including functional magnetic resonance imaging (fMRI, e.g., Holroyd et al, 2004;Debener et al, 2005), magnetoencephalography (MEG, e.g., Miltner et al, 2003;Keil et al, 2010), and intracranial recordings (Niki and Watanabe, 1979;Brazdil et al, 2002;Halgren et al, 2002;Brazdil et al, 2005;Wang et al, 2005;Emeric et al, 2008;Pourtois et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Delayed monitoring of accuracy errors compared to commission errors in ACC

et al. 2012

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Error detection is essential for monitoring performance and preparing subsequent behavioral adjustments, and is associated with specific neural responses in the anterior cingulate cortex (ACC). To investigate whether different brain mechanisms subserve the processing of commission vs. accuracy errors, we recorded EEG in adult participants while they performed a novel speeded GO-NOGO aiming task ("the Shoot-NoShoot paradigm"). Our ERP results show that commission errors (responding during NOGO trials) elicited a classical error-related negativity (ERN) component, followed by an error-related positivity (Pe), as well as a negativity peaking before response onset (pre-ERN). By contrast, spatial accuracy errors elicited a feedback-related negativity (FRN), which correlated with the spatial discrepancy between response and target position across subjects. Fast hits also elicited a pre-ERN but no ERN, suggesting that this pre-response monitoring component might be related to the detection of error likelihood. Although source analysis revealed similar generators in ACC for these different error-related negativities, the respective timing differed, suggesting that commission errors are detected rapidly based on internal motor representations, whereas the detection of accuracy errors in ACC relies on the additional and swift processing of external visual information.

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Implementation of error-processing in the human anterior cingulate cortex: a source analysis of the magnetic equivalent of the error-related negativity

Cited by 206 publications

References 23 publications

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

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

Self-efficacy effects on neuroelectric and behavioral indices of action monitoring in older adults

Delayed monitoring of accuracy errors compared to commission errors in ACC

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