Cargando…

Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder

Background: Major depressive disorder (MDD) is one of the most common and costly psychiatric disorders. In addition to significant changes in mood, MDD patients face an increased risk of developing cognitive dysfunction. It is important to gain an improved understanding of cognitive impairments and...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Yujie, Chen, Yaoping, Liang, Xinyu, Li, Danian, Zheng, Yanting, Zhang, Hanyue, Cui, Ying, Chen, Jingxian, Liu, Jiarui, Qiu, Shijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198729/
https://www.ncbi.nlm.nih.gov/pubmed/32411071
http://dx.doi.org/10.3389/fneur.2020.00272
_version_ 1783529043859079168
author Liu, Yujie
Chen, Yaoping
Liang, Xinyu
Li, Danian
Zheng, Yanting
Zhang, Hanyue
Cui, Ying
Chen, Jingxian
Liu, Jiarui
Qiu, Shijun
author_facet Liu, Yujie
Chen, Yaoping
Liang, Xinyu
Li, Danian
Zheng, Yanting
Zhang, Hanyue
Cui, Ying
Chen, Jingxian
Liu, Jiarui
Qiu, Shijun
author_sort Liu, Yujie
collection PubMed
description Background: Major depressive disorder (MDD) is one of the most common and costly psychiatric disorders. In addition to significant changes in mood, MDD patients face an increased risk of developing cognitive dysfunction. It is important to gain an improved understanding of cognitive impairments and find a biomarker for cognitive impairment diagnosis in MDD. Methods: One hundred MDD patients and 100 normal controls (NCs) completed resting-state fMRI (rs-fMRI) scan, in which 34 MDD patients and 34 NCs had scores in multiple cognitive domains (executive function, verbal fluency, and processing speed). Twenty-seven regions of interest from the default mode network (DMN), central executive network (CEN), salience network (SN), and limbic system (LS) were selected as seeds for functional connectivity (FC) analyses with the voxels in the whole brain. Finally, partial correlations were conducted for cognitive domain scores and FCs with significant differences between the MDD and NC groups. Results: Significant FC differences between groups were identified among the seeds and clusters in the DMN, CEN, LS, visual network, somatomotor network, ventral attention network, and dorsal attention network. In the MDD patients, the magnitude of the Stroop interference effect was positively correlated with the illness duration, and the illness duration was negatively correlated with the FC between the right ventral hippocampal gyrus and the left inferior frontal gyrus. However, the correlation between the Stroop interference effect and the FC of the right anterior prefrontal cortex with the left cerebellum_4_5 was disrupted in these patients. Conclusions: The MDD patients have altered FCs among multiple brain networks and a disrupted correlation between the FC of prefrontal cortex and executive function. The disrupted correlation could present before the symptoms develop and may be the core process in the development of executive function impairment.
format Online
Article
Text
id pubmed-7198729
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-71987292020-05-14 Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder Liu, Yujie Chen, Yaoping Liang, Xinyu Li, Danian Zheng, Yanting Zhang, Hanyue Cui, Ying Chen, Jingxian Liu, Jiarui Qiu, Shijun Front Neurol Neurology Background: Major depressive disorder (MDD) is one of the most common and costly psychiatric disorders. In addition to significant changes in mood, MDD patients face an increased risk of developing cognitive dysfunction. It is important to gain an improved understanding of cognitive impairments and find a biomarker for cognitive impairment diagnosis in MDD. Methods: One hundred MDD patients and 100 normal controls (NCs) completed resting-state fMRI (rs-fMRI) scan, in which 34 MDD patients and 34 NCs had scores in multiple cognitive domains (executive function, verbal fluency, and processing speed). Twenty-seven regions of interest from the default mode network (DMN), central executive network (CEN), salience network (SN), and limbic system (LS) were selected as seeds for functional connectivity (FC) analyses with the voxels in the whole brain. Finally, partial correlations were conducted for cognitive domain scores and FCs with significant differences between the MDD and NC groups. Results: Significant FC differences between groups were identified among the seeds and clusters in the DMN, CEN, LS, visual network, somatomotor network, ventral attention network, and dorsal attention network. In the MDD patients, the magnitude of the Stroop interference effect was positively correlated with the illness duration, and the illness duration was negatively correlated with the FC between the right ventral hippocampal gyrus and the left inferior frontal gyrus. However, the correlation between the Stroop interference effect and the FC of the right anterior prefrontal cortex with the left cerebellum_4_5 was disrupted in these patients. Conclusions: The MDD patients have altered FCs among multiple brain networks and a disrupted correlation between the FC of prefrontal cortex and executive function. The disrupted correlation could present before the symptoms develop and may be the core process in the development of executive function impairment. Frontiers Media S.A. 2020-04-28 /pmc/articles/PMC7198729/ /pubmed/32411071 http://dx.doi.org/10.3389/fneur.2020.00272 Text en Copyright © 2020 Liu, Chen, Liang, Li, Zheng, Zhang, Cui, Chen, Liu and Qiu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Liu, Yujie
Chen, Yaoping
Liang, Xinyu
Li, Danian
Zheng, Yanting
Zhang, Hanyue
Cui, Ying
Chen, Jingxian
Liu, Jiarui
Qiu, Shijun
Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder
title Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder
title_full Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder
title_fullStr Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder
title_full_unstemmed Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder
title_short Altered Resting-State Functional Connectivity of Multiple Networks and Disrupted Correlation With Executive Function in Major Depressive Disorder
title_sort altered resting-state functional connectivity of multiple networks and disrupted correlation with executive function in major depressive disorder
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7198729/
https://www.ncbi.nlm.nih.gov/pubmed/32411071
http://dx.doi.org/10.3389/fneur.2020.00272
work_keys_str_mv AT liuyujie alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT chenyaoping alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT liangxinyu alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT lidanian alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT zhengyanting alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT zhanghanyue alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT cuiying alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT chenjingxian alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT liujiarui alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder
AT qiushijun alteredrestingstatefunctionalconnectivityofmultiplenetworksanddisruptedcorrelationwithexecutivefunctioninmajordepressivedisorder