Related neural networks underlie suppression of emotion, memory, motor processes as identified by data-driven analysis.
Emotion regulation
Independent component analysis
Inhibitory control
Intrinsic connectivity networks
Memory suppression
Motor inhibition
Journal
BMC neuroscience
ISSN: 1471-2202
Titre abrégé: BMC Neurosci
Pays: England
ID NLM: 100966986
Informations de publication
Date de publication:
24 08 2023
24 08 2023
Historique:
received:
30
04
2022
accepted:
14
07
2023
medline:
28
8
2023
pubmed:
25
8
2023
entrez:
24
8
2023
Statut:
epublish
Résumé
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; e.g. default mode network) are involved in the regulation of emotion, motor, and memory processes, and if a data-driven approach using independent component analysis (ICA) would successfully identify such ICNs that contribute to inhibitory regulation. 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 tasks based on interrelated patterns of activation. Subsequently, ICNs were correlated with behavioral performance variables from each task. ICA indicated a common medial prefrontal network, striatal network, and frontoparietal executive control network, as well as downregulation in task-specific ROIs. These results illustrate that common ICNs were exhibited across three distinct inhibitory regulation tasks, as successfully identified through a data-driven approach (ICA).
Sections du résumé
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; e.g. default mode network) are involved in the regulation of emotion, motor, and memory processes, and if a data-driven approach using independent component 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 tasks 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 downregulation 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).
Identifiants
pubmed: 37620756
doi: 10.1186/s12868-023-00812-5
pii: 10.1186/s12868-023-00812-5
pmc: PMC10463822
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
44Informations de copyright
© 2023. BioMed Central Ltd., part of Springer Nature.
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