Error-related anterior cingulate cortex activity and the prediction of conscious error awareness
110 citations recorded by the source corpus.
Research examining the neural mechanisms associated with error awareness has consistently identified dorsal anterior cingulate cortex (ACC) activity as necessary but not predictive of conscious error detection. Two recent studies (Steinhauser and Yeung, 2010; Wessel et al., 2011) have found a contrary pattern of greater dorsal ACC (dACC) activity [in the form of the error-related negativity (ERN)] during detected errors, but suggested that the greater activity may instead reflect task influences (e.g., response conflict, error probability) and or individual variability (e.g., statistical power). We re-analyzed fMRI BOLD data from 56 healthy participants who had previously been administered the Error Awareness Task (EAT), a motor Go/No-go response inhibition task in which subjects make errors of commission of which they are aware (Aware errors), or unaware (Unaware errors). Consistent with previous data, the activity in a number of cortical regions was predictive of error awareness, including bilateral inferior parietal and insula cortices, however, in contrast to previous studies, including our own smaller sample studies using the same task, error-related dACC activity was significantly greater during aware errors when compared to unaware errors. While the significantly faster RT for aware errors (compared to unaware) was consistent with the hypothesis of higher response conflict increasing ACC activity, we could find no relationship between dACC activity and the error RT difference. The data suggests that error awareness is associated with error-related dACC activity but that the role of this activity is probably best understood in relation to the activity in other regions. Activity in the dACC may be important to conscious error detection, but it remains unclear what task and individual factors influence error awareness.
Subfields: Cognitive Neuroscience
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In Cognitive Neuroscience
- K. Tye
- Ben Tsuda
- Terrence J. Sejnowski
- Hava T. Siegelmann
- Yoshua Bengio
- Laurenz Wiskott
- J. Urgen Schmidhuber
- Scott Makeig
Citations in the corpus
- A modeling framework for adaptive lifelong learning with transfer and savings through gating in the prefrontal cortex (2020, methodology): “However, the gating network in our model likely incorporates elements that are distributed anatomically, including processing of error signals attributed to ACC (20, 65).”