Monitor yourself! Deficient error-related brain activity predicts real-life self-control failures
نویسندگان
چکیده
منابع مشابه
Error-related brain activity reveals self-centric motivation: culture matters.
To secure the interest of the personal self (vs. social others) is considered a fundamental human motive, but the nature of the motivation to secure the self-interest is not well understood. To address this issue, we assessed electrocortical responses of European Americans and Asians as they performed a flanker task while instructed to earn as many reward points as possible either for the self ...
متن کاملAnxiety and error-related brain activity.
Error-related negativity (ERN/Ne) is a component of the event-related brain potential (ERP) associated with monitoring action and detecting errors. It is a sharp negative deflection that generally occurs from 50 to 150 ms following response execution and has been associated with anterior cingulate cortex (ACC) activity. An enhanced ERN has been observed in patients with obsessive-compulsive dis...
متن کاملReliability of error-related brain activity.
Recent studies that have examined neural correlates of action monitoring with event-related potentials (ERPs) have focused on the error-related negativity (ERN) and error positivity (Pe) on error trials, as well as the correct response negativity (CRN) on correct trials. Moreover, the ERN has been assessed in relation to a number of personality traits and psychiatric disorders. However, no stud...
متن کاملLearning from errors: error-related neural activity predicts improvements in future inhibitory control performance.
Failure to adapt performance following an error is a debilitating symptom of many neurological and psychiatric conditions. Healthy individuals readily adapt their behavior in response to an error, an ability thought to be subserved by the posterior medial frontal cortex (pMFC). However, it remains unclear how humans adaptively alter cognitive control behavior when they reencounter situations th...
متن کاملEEG-based decoding of error-related brain activity in a real-world driving task.
OBJECTIVES Recent studies have started to explore the implementation of brain-computer interfaces (BCI) as part of driving assistant systems. The current study presents an EEG-based BCI that decodes error-related brain activity. Such information can be used, e.g., to predict driver's intended turning direction before reaching road intersections. APPROACH We executed experiments in a car simul...
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ژورنال
عنوان ژورنال: Cognitive, Affective, & Behavioral Neuroscience
سال: 2018
ISSN: 1530-7026,1531-135X
DOI: 10.3758/s13415-018-0593-5