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Disorganized Functional Connectivity of Anterior Insular Subnetworks in Adults with Executive Dysfunction after Trauma Exposure.

Authors :
Hu, Xiao
Luo, Yifeng
Qi, Rongfeng
Ge, Jiyuan
Wu, Luoan
Dai, Huanhuan
Lan, Qingyue
Liu, Bo
Zhang, Li
Xu, Qiang
Chen, Feng
Cao, Zhihong
Lu, Guangming
Source :
Neuroscience. Feb2024, Vol. 538, p40-45. 6p.
Publication Year :
2024

Abstract

• Our study explored the executive function deficits(EFD) after trauma exposed. • The adult who has lost their only child is a special type of trauma. • The results of the excessive connection between the anterior insula and DMN might contribute to EFD after trauma exposed. There is increasing evidence that major trauma can adversely affect the brain and cognition. In some cases, trauma may lead to deficits in executive function (EF). The anterior insula may be a causal outflow hub acting to coordinate EF-related brain networks. To clarify the neural underpinnings of EF deficits (EFD) after trauma, we performed a resting-state functional magnetic resonance imaging (rs-fMRI) study of anterior insular subnetworks in adults who have lost their only child. A total of 167 participants completed various psychological and cognitive assessments to assess EF-related deficits. Correlations were computed between abnormal connectivity and cognitive/post-traumatic stress symptoms. The results showed abnormal anterior insular subregion connectivity in the default mode network (DMN), prefrontal lobe, and cerebellum lobe in participants with EFD. No correlation was found between abnormal connectivity and cognitive/post-traumatic stress symptoms in participants with EFD. These results suggest that excessive connections between the insula and DMN could contribute to EFD after trauma. Overall, this study provides novel references into the neural mechanisms of EF status after trauma exposure. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03064522
Volume :
538
Database :
Academic Search Index
Journal :
Neuroscience
Publication Type :
Academic Journal
Accession number :
175164917
Full Text :
https://doi.org/10.1016/j.neuroscience.2023.12.005