Neural correlates of error awareness

Klein, Tilmann A.; Endraß, Tanja; Kathmann, Norbert; Neumann, Jane; Cramon, D. Yves von; Ullsperger, Markus

doi:10.1016/j.neuroimage.2006.11.014

Cited by 353 publications

(393 citation statements)

References 40 publications

Supporting

Mentioning

347

Contrasting

Order By: Relevance

“…RCZ) to those reported in previous EEG studies which used GO-NOGO tasks, the same head model and the same source localization algorithm (Vocat et al, 2008;Koban et al, 2010;Vocat et al, 2011). Moreover, this region of the posterior medial frontal cortex (as evidenced with our source localization method) is also usually found in previous imaging studies focused on performance monitoring brain processes (Klein et al, 2007). However, some caution is needed when interpreting the present source localization results, based on dipole modeling.…”

Section: Using This New Task We Show That Commission and Accuracy Ersupporting

confidence: 80%

Delayed monitoring of accuracy errors compared to commission errors in ACC

et al. 2012

View full text Add to dashboard Cite

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.

show abstract

Section: Using This New Task We Show That Commission and Accuracy Ersupporting

confidence: 80%

Delayed monitoring of accuracy errors compared to commission errors in ACC

et al. 2012

View full text Add to dashboard Cite

show abstract

“…(Note, however, that the activity observed in these experiments could also have arisen from the adjacent inferior frontal region.) These data together with many other experiments suggest that anterior insula and cingulate cortex are involved in the recognition of error and the initiation of adaptive responses to error and negative feedback (Gehring et al 1993;Dehaene et al 1994;Klein et al 2007;Lamm and Singer 2010). Anterior insula and anterior cingulate cortex are major components of the system for the flexible control of goal-directed behavior (Dosenbach et al 2007).…”

Section: Introductionmentioning

confidence: 89%

The von Economo neurons in frontoinsular and anterior cingulate cortex in great apes and humans

et al. 2010

View full text Add to dashboard Cite

The von Economo neurons (VENs) are large bipolar neurons located in frontoinsular (FI) and anterior cingulate cortex in great apes and humans, but not other primates. We performed stereological counts of the VENs in FI and LA (limbic anterior, a component of anterior cingulate cortex) in great apes and in humans. The VENs are more numerous in humans than in apes, although one gorilla approached the lower end of the human range. We also examined the ontological development of the VENs in FI and LA in humans. The VENs first appear in small numbers in the 36th week post-conception, are rare at birth, and increase in number during the first 8 months after birth. There are significantly more VENs in the right hemisphere than in the left in FI and LA in postnatal brains of apes and humans. This asymmetry in VEN numbers may be related to asymmetries in the autonomic nervous system. The activity of the inferior anterior insula, which contains FI, is related to physiological changes in the body, decisionmaking, error recognition, and awareness. The VENs appear to be projection neurons, although their targets are unknown. We made a preliminary study of the connections of FI cortex based on diffusion tensor imaging in the brain of a gorilla. The VEN-containing regions connect to the frontal pole as well as to other parts of frontal and insular cortex, the septum, and the amygdala. It is likely that the VENs in FI are projecting to some or all of these structures and relaying information related to autonomic control, decision-making, or awareness. The VENs selectively express the bombesin peptides neuromedin B (NMB) and gastrin releasing peptide (GRP) which are also expressed in another population of closely related neurons, the fork cells. NMB and GRP signal satiety. The genes for NMB and GRP are expressed selectively in small populations of neurons in the insular cortex in mice. These populations may be related to the VEN and fork cells and may be involved in the regulation of appetite. The loss of these cells may be related to the loss of satiety signaling in patients with frontotemporal dementia who have damage to FI. The VENs and fork cells may be morphological specializations of an ancient population of neurons involved in the control of appetite present in the insular cortex in all mammals. We found that the protein encoded by the gene DISC1 (disrupted in schizophrenia) is preferentially expressed by the VENs. DISC1 has undergone rapid evolutionary change in the line leading to humans, and since it suppresses dendritic branching it may be involved in the distinctive VEN morphology.

show abstract

“…However, evaluative priming was still highly significant when controlling for this general post-error slowing effect (by including it as a covariate in the Evaluation of actions 24 statistical analyses), suggesting that these two effects (priming and slowing) may reflect different processes during action monitoring. Whereas post-error slowing likely deals with enhanced cognitive or attention control aimed at preventing errors to repeat over time (Botvinick et al, 2001;Notebaert et al, 2009) besides deeper dopaminergic midbrain structures; see Klein et al, 2007), but also emotion control systems (including the amygdala) play an important role in this process, at a similar early latency following action execution (see Pourtois et al, 2010).…”

Section: Affective Value Of the Action Primes Evaluative Categorizationmentioning

confidence: 99%