CASIA OpenIR  > 脑图谱与类脑智能实验室  > 脑机接口与融合智能
Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression
Xu, Ming1,2; Li, Xuemei3; Teng, Teng3; Huang, Yang4; Liu, Mengqi4; Long, Yicheng5; Lv, Fajin4; Zhi, Dongmei6; Li, Xiang1,2; Feng, Aichen1,2; Yu, Shan1,2; Calhoun, Vince7; Zhou, Xinyu3; Sui, Jing6
Source PublicationJAMA Network Open
ISSN2574-3805
2024-03-12
Volume7Issue:3Pages:1
Corresponding AuthorZhou, Xinyu(zhouxinyu@cqmu.edu.cn) ; Sui, Jing(jsui@bnu.edu.cn)
Abstract

IMPORTANCE Adolescent major depressive disorder (MDD) is associated with serious adverse implications for brain development and higher rates of self-injury and suicide, raising concerns about its neurobiological mechanisms in clinical neuroscience. However, most previous studies regarding the brain alterations in adolescent MDD focused on single-modal images or analyzed images of different modalities separately, ignoring the potential role of aberrant interactions between brain structure and function in the psychopathology. OBJECTIVE To examine alterations of structural and functional connectivity (SC-FC) coupling in adolescent MDD by integrating both diffusion magnetic resonance imaging (MRI) and resting-state functional MRI data. DESIGN, SETTING, AND PARTICIPANTS This cross-sectional study recruited participants aged 10 to 18 years from January 2, 2020, to December 28, 2021. Patients with first-episode MDD were recruited from the outpatient psychiatry clinics at The First Affiliated Hospital of Chongqing Medical University. Healthy controls were recruited by local media advertisement from the general population in Chongqing, China. The sample was divided into 5 subgroup pairs according to different environmental stressors and clinical characteristics. Data were analyzed from January 10, 2022, to February 20, 2023. MAIN OUTCOMES AND MEASURES The SC-FC coupling was calculated for each brain region of each participant using whole-brain SC and FC. Primary analyses included the group differences in SC-FC coupling and clinical symptom associations between SC-FC coupling and participants with adolescent MDD and healthy controls. Secondary analyses included differences among 5 types of MDD subgroups: with or without suicide attempt, with or without nonsuicidal self-injury behavior, with or without major life events, with or without childhood trauma, and with or without school bullying. RESULTS Final analyses examined SC-FC coupling of 168 participants with adolescent MDD (mean [mean absolute deviation (MAD)] age, 16.0 [1.7] years; 124 females [73.8%]) and 101 healthy controls (mean [MAD] age, 15.1 [2.4] years; 61 females [60.4%]). Adolescent MDD showed increased SC-FC coupling in the visual network, default mode network, and insula (Cohen d ranged from 0.365 to 0.581; false discovery rate [FDR]–corrected P < .05). Some subgroup-specific alterations were identified via subgroup analyses, particularly involving parahippocampal coupling decrease in participants with suicide attempt (partial η2 = 0.069; 90% CI, 0.025-0.121; FDR-corrected P = .007) and frontal-limbic coupling increase in participants with major life events (partial η2 ranged from 0.046 to 0.068; FDR-corrected P < .05).

CONCLUSIONS AND RELEVANCE Results of this cross-sectional study suggest increased SC-FC coupling in adolescent MDD, especially involving hub regions of the default mode network, visual network, and insula. The findings enrich knowledge of the aberrant brain SC-FC coupling in the psychopathology of adolescent MDD, underscoring the vulnerability of frontal-limbic SC-FC coupling to external stressors and the parahippocampal coupling in shaping future-minded behavior

DOI10.1001/jamanetworkopen.2024.1933
WOS KeywordEMOTIONAL INTERFERENCE ; COGNITIVE-CONTROL ; YOUTH DEPRESSION ; BRAIN NETWORKS ; FUTURE ; CHILDREN ; EFFICACY ; STRESS ; HEALTH ; MRI
Indexed BySCI
Language英语
Funding ProjectScientific and Technological Innovation 2030[2021ZD0200500] ; Scientific and Technological Innovation 2030[2022ZD0212900] ; Natural Science Foundation of China[82271565] ; Natural Science Foundation of China[81873800] ; Natural Science Foundation of China[82022035] ; China Postdoctoral Science Foundation[2022M710434] ; National Institute of Health grants[R01MH117107] ; National Institute of Health grants[R01MH118695] ; National Science Foundation[2112455]
Funding OrganizationScientific and Technological Innovation 2030 ; Natural Science Foundation of China ; China Postdoctoral Science Foundation ; National Institute of Health grants ; National Science Foundation
WOS Research AreaGeneral & Internal Medicine
WOS SubjectMedicine, General & Internal
WOS IDWOS:001185735800009
PublisherAMER MEDICAL ASSOC
IS Representative Paper
Sub direction classification脑网络分析
planning direction of the national heavy laboratory其他
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/56624
Collection脑图谱与类脑智能实验室_脑机接口与融合智能
Corresponding AuthorZhou, Xinyu; Sui, Jing
Affiliation1.Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences; Beijing, 100190, China
2.School of Artificial Intelligence, University of Chinese Academy of Sciences; Beijing, 100190, China
3.Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
4.Department of Radiology, The First Affiliated Hospital of Chongqing Medical University; Chongqing, 400016, China
5.Department of Psychiatry, and National Clinical Research Center for Mental Disorders, The Second Xiangya Hospital of Central South University; Hunan, 410008, China
6.IDG/McGovern Institute for Brain Research, State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China
7.Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia Institute of Technology, Emory University and Georgia State University, Atlanta, Georgia, 30303, United States
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Xu, Ming,Li, Xuemei,Teng, Teng,et al. Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression[J]. JAMA Network Open,2024,7(3):1.
APA Xu, Ming.,Li, Xuemei.,Teng, Teng.,Huang, Yang.,Liu, Mengqi.,...&Sui, Jing.(2024).Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression.JAMA Network Open,7(3),1.
MLA Xu, Ming,et al."Reconfiguration of Structural and Functional Connectivity Coupling in Patient Subgroups With Adolescent Depression".JAMA Network Open 7.3(2024):1.
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