AI Article Synopsis

Article Abstract

Procrastination is a self-regulation failure in which people irrationally delay intended actions which leads to lower performance, satisfaction from achievements, and quality of life. Trait procrastination is estimated to affect 15% to 20% of the total population, and previous studies have shown procrastination to be related to impulsivity, emotion dysregulation, and executive dysfunctions, making it a good nonclinical example of a self-regulation disorder. Our previous fMRI results revealed impaired error processing (lower error-related activity of the anterior cingulate cortex) and lack of ability to intensify executive-control during the punishment context (no increase in activity in prefrontal regions) in procrastinators. This led us to the question of whether procrastination is related to impaired learning on errors and punishments. Low (LP) and high (HP) procrastinating students took part in a modified monetary probabilistic reversal learning task with separated reward and punishment conditions. Half of the participants started with reward and half with the punishment condition. Several learning models and model-free measures were applied to the collected behavioral data. Results suggest lower flexibility in the learning task in HP subjects, which can further decrease during the punishment condition. Moreover, HP subjects who began with the punishment condition tended to be less flexible throughout the rest of the task. These results suggest that impaired learning from errors and punishments may prevent highly procrastinating subjects from correcting their behaviors and add to the persistence of procrastination. We also conclude that impaired learning on errors and punishments might be a more general mechanism underpinning other self-regulation disorders. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Download full-text PDF

Source
http://dx.doi.org/10.1037/xge0001161DOI Listing

Publication Analysis

Top Keywords

learning task
12
impaired learning
12
learning errors
12
errors punishments
12
punishment condition
12
probabilistic reversal
8
reversal learning
8
lower flexibility
8
learning
7
punishment
6

Similar Publications

For trained individuals such as athletes and musicians, learning often plateaus after extensive training, known as the "ceiling effect." One bottleneck to overcome it is having no prior physical experience with the skill to be learned. Here, we challenge this issue by exposing expert pianists to fast and complex finger movements that cannot be performed voluntarily, using a hand exoskeleton robot that can move individual fingers quickly and independently.

View Article and Find Full Text PDF

A distributed subcortical circuit linked to instrumental information-seeking about threat.

Proc Natl Acad Sci U S A

January 2025

Wellcome Centre for Integrative Neuroimaging, Department of Experimental Psychology, University of Oxford, Oxford OX1 3TA, United Kingdom.

Daily life for humans and other animals requires switching between periods of threat- and reward-oriented behavior. We investigated neural activity associated with spontaneous switching, in a naturalistic task, between foraging for rewards and seeking information about potential threats with 7T fMRI in healthy humans. Switching was driven by estimates of likelihood of threat and reward.

View Article and Find Full Text PDF

A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.

PLoS One

January 2025

Division of Biological Sciences, US Fish and Wildlife Southwest Regional Office, Albuquerque, New Mexico, United States of America.

There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge in interpreting aerial imagery of complex environments, which may result in downstream instability of models. In this study, we present a framework for assessing annotation reliability by calculating agreement metrics for individual observers against an aggregated set of annotations generated by clustering multiple observers' observations and selecting the mode classification.

View Article and Find Full Text PDF

Continuous Instrument Tracking in a Cerebral Corticectomy Ex Vivo Calf Brain Simulation Model: Face and Content Validation.

Oper Neurosurg (Hagerstown)

July 2024

Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal , Quebec , Canada.

Background And Objectives: Subpial corticectomy involving complete lesion resection while preserving pial membranes and avoiding injury to adjacent normal tissues is an essential bimanual task necessary for neurosurgical trainees to master. We sought to develop an ex vivo calf brain corticectomy simulation model with continuous assessment of surgical instrument movement during the simulation. A case series study of skilled participants was performed to assess face and content validity to gain insights into the utility of this training platform, along with determining if skilled and less skilled participants had statistical differences in validity assessment.

View Article and Find Full Text PDF

This study aimed to investigate the impact of early childhood chronic stress on the development of the brain extracellular matrix (ECM) and how alterations in the ECM following early-life adversity (ELA) affect auditory learning and cognitive flexibility. ELA was induced through a combination of maternal separation and neonatal isolation in male Sprague-Dawley rats, and the success of the ELA model was assessed behaviorally and biochemically. A cortex-dependent go/no-go task with two phases was used to determine the impact of ELA on auditory learning and cognitive flexibility.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!