Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium
IntroductionPrevious studies have shown disrupted effective connectivity in the large-scale brain networks of individuals with major depressive disorder (MDD). However, it is unclear whether these changes differ between first-episode drug-naive MDD (FEDN-MDD) and recurrent MDD (R-MDD).MethodsThis st...
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Frontiers Media S.A.
2023-12-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1308551/full |
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| author | Yao Zhu Tianming Huang Ruolin Li Qianrong Yang Chaoyue Zhao Ming Yang Bin Lin the DIRECT Consortium Xuzhou Li |
| author_facet | Yao Zhu Tianming Huang Ruolin Li Qianrong Yang Chaoyue Zhao Ming Yang Bin Lin the DIRECT Consortium Xuzhou Li |
| author_sort | Yao Zhu |
| collection | DOAJ |
| description | IntroductionPrevious studies have shown disrupted effective connectivity in the large-scale brain networks of individuals with major depressive disorder (MDD). However, it is unclear whether these changes differ between first-episode drug-naive MDD (FEDN-MDD) and recurrent MDD (R-MDD).MethodsThis study utilized resting-state fMRI data from 17 sites in the Chinese REST-meta-MDD project, consisting of 839 patients with MDD and 788 normal controls (NCs). All data was preprocessed using a standardized protocol. Then, we performed a granger causality analysis to calculate the effectivity connectivity (EC) within and between brain networks for each participant, and compared the differences between the groups.ResultsOur findings revealed that R-MDD exhibited increased EC in the fronto-parietal network (FPN) and decreased EC in the cerebellum network, while FEDN-MDD demonstrated increased EC from the sensorimotor network (SMN) to the FPN compared with the NCs. Importantly, the two MDD subgroups displayed significant differences in EC within the FPN and between the SMN and visual network. Moreover, the EC from the cingulo-opercular network to the SMN showed a significant negative correlation with the Hamilton Rating Scale for Depression (HAMD) score in the FEDN-MDD group.ConclusionThese findings suggest that first-episode and recurrent MDD have distinct effects on the effective connectivity in large-scale brain networks, which could be potential neural mechanisms underlying their different clinical manifestations. |
| first_indexed | 2024-03-08T18:34:19Z |
| format | Article |
| id | doaj.art-1233e86297ac4d28838fc09e31693210 |
| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-03-08T18:34:19Z |
| publishDate | 2023-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroscience |
| spelling | doaj.art-1233e86297ac4d28838fc09e316932102023-12-29T14:28:16ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2023-12-011710.3389/fnins.2023.13085511308551Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortiumYao Zhu0Tianming Huang1Ruolin Li2Qianrong Yang3Chaoyue Zhao4Ming Yang5Bin Lin6the DIRECT ConsortiumXuzhou Li7School of Psychology and Cognitive Science, East China Normal University, Shanghai, ChinaDepartment of General Psychiatry, Shanghai Changning Mental Health Center, Shanghai, ChinaDepartment of Radiology, Children’s Hospital of Philadelphia, Philadelphia, PA, United StatesFaculty of Education, Yunnan Normal University, Kunming, Yunnan, ChinaSchool of Psychology and Cognitive Science, East China Normal University, Shanghai, ChinaSchool of Psychology and Cognitive Science, East China Normal University, Shanghai, ChinaDepartment of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, ChinaFaculty of Education, Yunnan Normal University, Kunming, Yunnan, ChinaIntroductionPrevious studies have shown disrupted effective connectivity in the large-scale brain networks of individuals with major depressive disorder (MDD). However, it is unclear whether these changes differ between first-episode drug-naive MDD (FEDN-MDD) and recurrent MDD (R-MDD).MethodsThis study utilized resting-state fMRI data from 17 sites in the Chinese REST-meta-MDD project, consisting of 839 patients with MDD and 788 normal controls (NCs). All data was preprocessed using a standardized protocol. Then, we performed a granger causality analysis to calculate the effectivity connectivity (EC) within and between brain networks for each participant, and compared the differences between the groups.ResultsOur findings revealed that R-MDD exhibited increased EC in the fronto-parietal network (FPN) and decreased EC in the cerebellum network, while FEDN-MDD demonstrated increased EC from the sensorimotor network (SMN) to the FPN compared with the NCs. Importantly, the two MDD subgroups displayed significant differences in EC within the FPN and between the SMN and visual network. Moreover, the EC from the cingulo-opercular network to the SMN showed a significant negative correlation with the Hamilton Rating Scale for Depression (HAMD) score in the FEDN-MDD group.ConclusionThese findings suggest that first-episode and recurrent MDD have distinct effects on the effective connectivity in large-scale brain networks, which could be potential neural mechanisms underlying their different clinical manifestations.https://www.frontiersin.org/articles/10.3389/fnins.2023.1308551/fullmajor depressive disorderfirst-episode and recurrentresting-state fMRIbrain networkseffective connectivity |
| spellingShingle | Yao Zhu Tianming Huang Ruolin Li Qianrong Yang Chaoyue Zhao Ming Yang Bin Lin the DIRECT Consortium Xuzhou Li Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium Frontiers in Neuroscience major depressive disorder first-episode and recurrent resting-state fMRI brain networks effective connectivity |
| title | Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium |
| title_full | Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium |
| title_fullStr | Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium |
| title_full_unstemmed | Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium |
| title_short | Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium |
| title_sort | distinct resting state effective connectivity of large scale networks in first episode and recurrent major depression disorder evidence from the rest meta mdd consortium |
| topic | major depressive disorder first-episode and recurrent resting-state fMRI brain networks effective connectivity |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2023.1308551/full |
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