Monitor yourself! Deficient error-related brain activity predicts real-life self-control failures

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

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.

Details

OriginalspracheEnglisch
Seiten (von - bis)622-637
Seitenumfang16
FachzeitschriftCognitive, affective & behavioral neuroscience
Jahrgang18
Ausgabenummer4
PublikationsstatusVeröffentlicht - Aug. 2018
Peer-Review-StatusJa

Externe IDs

Scopus 85045233776
ORCID /0000-0002-1612-3932/work/142251078
ORCID /0000-0001-5398-5569/work/150329445

Schlagworte

Schlagwörter

  • Adult, Attention/physiology, Brain/diagnostic imaging, Brain Mapping, Executive Function/physiology, Female, Humans, Individuality, Magnetic Resonance Imaging, Male, Self-Control, Stroop Test, Young Adult