Comparison of the social gene expression network and social brain network: a resting-state functional magnetic resonance imaging study

被引:0
|
作者
Zhang, Yi-Jing [1 ,2 ,3 ]
Zhao, Hao-Yun [3 ,4 ,5 ]
Li, Peng [3 ]
Lin, Xiao [3 ]
Lu, Lin [1 ,2 ,3 ,4 ,5 ]
机构
[1] Peking Univ, Natl Inst Drug Dependence, Beijing, Peoples R China
[2] Peking Univ, Beijing Key Lab Drug Dependence, Beijing, Peoples R China
[3] Peking Univ Sixth Hosp, Peking Univ Inst Mental Hlth, Peking Univ, Peking Univ Hosp 6, Beijing 100191, Peoples R China
[4] Peking Univ, Peking Tsinghua Ctr Life Sci, Beijing 100871, Peoples R China
[5] Peking Univ, Acad Adv Interdisciplinary Studies, Beijing 100871, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
Gene expression; Social brain network; Network analysis; Resting-state fMRI; Schizophrenia; SCHIZOPHRENIA; INDIVIDUALS; HYPOTHESIS;
D O I
10.1007/s11682-025-00993-z
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
Numerous previous studies have classified brain regions related to social processing into the "social brain" regions. Recent genetic studies showed that gene expression has a crucial effect on both brain functions and behavioral social performance. However, studies still lack a clear understanding of the organization of the social gene expression (SocGene) network. This study aimed to distinguish the difference between the SocGene network and the social brain network (SBN) and further explored their deficits in schizophrenia (SCZ) patients. The SocGene network was constructed by generating the gene expression maps of six social neuropeptide receptors from the Allen Human Brain Atlas. Then, we recruited a general population sample of 37 participants and a clinical sample including 26 SCZ and 25 Healthy controls (HCs) successively to construct the resting-state SocGene and SBN at the individual level. The integration (global efficiency, GE) and segregation (local efficiency, LE) of these brain networks were calculated using the graphic analysis. Results showed that the GE and LE of the SocGene network were significantly higher than those of the SBN in both two cohorts. The SCZ patients showed significantly diminished LE of the two brain networks compared to HCs, especially in the SocGene network. These findings implied that the SocGene network strengthened the integration and segregation compared to the SBN. SCZ patients mainly exhibited deficits in the segregation of these two brain networks. The current findings provide a new perspective on combining genetic expression and brain function in understanding the psychopathology of social functioning.
引用
收藏
页码:534 / 542
页数:9
相关论文
共 50 条
  • [1] Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study
    Wee, Chong-Yaw
    Zhao, Zhimin
    Yap, Pew-Thian
    Wu, Guorong
    Shi, Feng
    Price, True
    Du, Yasong
    Xu, Jianrong
    Zhou, Yan
    Shen, Dinggang
    PLOS ONE, 2014, 9 (09):
  • [2] Research on brain network for schizophrenia classification based on resting-state functional magnetic resonance imaging
    Yu R.
    Yu H.
    Wan H.
    Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering, 2020, 37 (04): : 661 - 669
  • [3] Altered brain functional network dynamics in classic trigeminal neuralgia: a resting-state functional magnetic resonance imaging study
    Zhang, Pengfei
    Jiang, Yanli
    Liu, Guangyao
    Han, Jiao
    Wang, Jun
    Ma, Laiyang
    Hu, Wanjun
    Zhang, Jing
    JOURNAL OF HEADACHE AND PAIN, 2021, 22 (01):
  • [4] Altered brain functional network dynamics in classic trigeminal neuralgia: a resting-state functional magnetic resonance imaging study
    Pengfei Zhang
    Yanli Jiang
    Guangyao Liu
    Jiao Han
    Jun Wang
    Laiyang Ma
    Wanjun Hu
    Jing Zhang
    The Journal of Headache and Pain, 2021, 22
  • [5] Brain network hierarchy reorganization in Alzheimer's disease: A resting-state functional magnetic resonance imaging study
    Hu, Qili
    Li, Yunfei
    Wu, Yunying
    Lin, Xiaomei
    Zhao, Xiaohu
    HUMAN BRAIN MAPPING, 2022, 43 (11) : 3498 - 3507
  • [6] Mapping language with resting-state functional magnetic resonance imaging: A study on the functional profile of the language network
    Branco, Paulo
    Seixas, Daniela
    Castro, Sao L.
    HUMAN BRAIN MAPPING, 2020, 41 (02) : 545 - 560
  • [7] Altered brain network topology in left-behind children: A resting-state functional magnetic resonance imaging study
    Zhao, Youjin
    Du, Meimei
    Gao, Xin
    Xiao, Yuan
    Shah, Chandan
    Sun, Huaiqiang
    Chen, Fuqin
    Yang, Lili
    Yan, Zhihan
    Fu, Yuchuan
    Lui, Su
    CHILD ABUSE & NEGLECT, 2016, 62 : 89 - 99
  • [8] Acute Effect of Betel Quid Chewing on Brain Network Dynamics: A Resting-State Functional Magnetic Resonance Imaging Study
    Huang, Xiaojun
    Wu, Zhipeng
    Liu, Zhening
    Liu, Dayi
    Huang, Danqing
    Long, Yicheng
    FRONTIERS IN PSYCHIATRY, 2021, 12
  • [9] Network asymmetry of motor areas revealed by resting-state functional magnetic resonance imaging
    Yan, Li-rong
    Wu, Yi-bo
    Hu, De-wen
    Qin, Shang-zhen
    Xu, Guo-zheng
    Zeng, Xiao-hua
    Song, Hua
    BEHAVIOURAL BRAIN RESEARCH, 2012, 227 (01) : 125 - 133
  • [10] Time of Acquisition and Network Stability in Pediatric Resting-State Functional Magnetic Resonance Imaging
    White, Tonya
    Muetzel, Ryan
    Schmidt, Marcus
    Langeslag, Sandra J. E.
    Jaddoe, Vincent
    Hofman, Albert
    Calhoun, Vince D.
    Verhulst, Frank C.
    Tiemeier, Henning
    BRAIN CONNECTIVITY, 2014, 4 (06) : 417 - 427