Related Neural Networks Underlie Suppression of Emotion, Memory, Motor Processes as Identified by Data-Driven Analysis

Autor: Karisa June Hunt, Lindsay K. Knight, Brendan E. Depue
Jazyk: angličtina
Rok vydání: 2021
DOI: 10.13140/rg.2.2.13751.80803
Popis: Background: Goal-directed behavior benefits from self-regulation of cognitive and affective processes, such as emotional reactivity, memory retrieval, and prepotent motor response. Dysfunction in self-regulation is a common characteristic of many psychiatric disorders, such as PTSD and ADHD. This study sought to determine whether common intrinsic connectivity networks (ICNs; i.e., dorsal attention network) are involved in the regulation of emotion, motor, and memory and if a data-driven approach using independent components analysis (ICA) would successfully identify such ICNs that contribute to inhibitory regulation. Methods: Eighteen participants underwent neuroimaging while completing an emotion regulation (ER) task, a memory suppression (think/no-think; TNT) task, and a motor inhibition (stop signal; SS) task. ICA (CONN; MATLAB) was conducted on the neuroimaging data from each task and corresponding components were selected across-task based on interrelated patterns of activation. Subsequently, ICNs were correlated with behavioral performance variables from each task. Results: ICA indicated a common medial prefrontal network, striatal network, and frontoparietal executive control network, as well as down-regulation in task-specific ROIs.Conclusions: These results illustrate that common ICNs were exhibited across three distinct inhibitory regulation tasks, as successfully identified through a data-driven approach (ICA).
Databáze: OpenAIRE