| Title |
Monitor yourself! Deficient error-related brain activity predicts real-life self-control failures
|
|---|---|
| Published in |
Cognitive, Affective, & Behavioral Neuroscience, April 2018
|
| DOI | 10.3758/s13415-018-0593-5 |
| Pubmed ID | |
| Authors |
Klaus-Martin Krönke, Max Wolff, Holger Mohr, Anja Kräplin, Michael N. Smolka, Gerhard Bühringer, Thomas Goschke |
| Abstract |
Despite their immense relevance, the neurocognitive mechanisms underlying real-life self-control failures (SCFs) are insufficiently understood. Whereas previous studies have shown that SCFs were associated with decreased activity in the right inferior frontal gyrus (rIFG; a region involved in cognitive control), here we consider the possibility that the reduced implementation of cognitive control in individuals with low self-control may be due to impaired performance monitoring. Following a brain-as-predictor approach, we combined experience sampling of daily SCFs with functional magnetic resonance imaging (fMRI) in a Stroop task. In our sample of 118 participants, proneness to SCF was reliably predicted by low error-related activation of a performance-monitoring network (comprising anterior mid-cingulate cortex, presupplementary motor area, and anterior insula), low posterror rIFG activation, and reduced posterror slowing. Remarkably, these neural and behavioral measures predicted variability in SCFs beyond what was predicted by self-reported trait self-control. These results suggest that real-life SCFs may result from deficient performance monitoring, leading to reduced recruitment of cognitive control after responses that conflict with superordinate goals. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 20% |
| Ireland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 70 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 17% |
| Student > Master | 9 | 13% |
| Student > Ph. D. Student | 8 | 11% |
| Researcher | 6 | 9% |
| Student > Doctoral Student | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 26 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 36% |
| Neuroscience | 6 | 9% |
| Arts and Humanities | 2 | 3% |
| Medicine and Dentistry | 2 | 3% |
| Nursing and Health Professions | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 30 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2018.
All research outputs
#14,459,086
of 24,671,780 outputs
Outputs from Cognitive, Affective, & Behavioral Neuroscience
#459
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Outputs of similar age
#170,202
of 332,896 outputs
Outputs of similar age from Cognitive, Affective, & Behavioral Neuroscience
#13
of 22 outputs
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