Global hippocampus functional connectivity as a predictive neural marker for conversion to future mood disorder in unaffected offspring of bipolar disorder parents

被引:8
作者
Zou, Wenjin [1 ]
Song, Peilun [2 ]
Lu, Weicong [3 ]
Shao, Robin [4 ,5 ]
Zhang, Ruoxi [3 ]
Yau, Suk-Yu [6 ]
Yuan, Ti-fei [7 ,8 ]
Wang, Yaping [2 ]
Lin, Kangguang [3 ,9 ]
机构
[1] Guangzhou Med Univ, Dept Radiol, Affiliated Brain Hosp, Guangzhou, Peoples R China
[2] Zhengzhou Univ, Sch Informat Engn, 100 Sci Ave, Zhengzhou 450001, Henan, Peoples R China
[3] Guangzhou Med Univ, Dept Affect Disorders, Affiliated Brain Hosp, 36 Mingxin Rd, Guangzhou 510370, Guangdong, Peoples R China
[4] Univ Hong Kong, Dept Psychol, Lab Neuropsychol, Hong Kong, Peoples R China
[5] Univ Hong Kong, Dept Psychol, Lab Social Cognit Affect, Neurosci, Hong Kong, Peoples R China
[6] Hong Kong Polytech Univ, Fac Hlth & Social Sci, Dept Rehabil Sci, Hong Kong, Peoples R China
[7] Shanghai Jiao Tong Univ, Shanghai Mental Hlth Ctr, Shanghai Key Lab Psychot Disorders, Sch Med, Shanghai 201108, Peoples R China
[8] Nantong Univ, Coinnovat Ctr Neuroregenerat, Nantong, Peoples R China
[9] Univ Hlth & Rehabil Sci, Sch Hlth & Life Sci, 17 Shandong Rd, Qingdao, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Bipolar disorder; Offspring hippocampus; RsfMRI; Functional connectivity prediction; DEFAULT MODE NETWORK; HIGH-RISK STAGES; FAMILIAL RISK; RATING-SCALE; DEPRESSION; SCHIZOPHRENIA; INDIVIDUALS; RESILIENCE; CEREBELLUM; ACTIVATION;
D O I
10.1016/j.ajp.2022.103307
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Objectives: Hippocampus-related functional alteration in genetically at-risk individuals may reflect an endo-phenotype of a mood disorder. Herein, we performed a prospective study to investigate whether baseline hip-pocampus functional connectivity (FC) in offspring of patients with bipolar disorder (BD) would predict subsequent conversion to mood disorder.Methods: Eighty bipolar offspring and 40 matched normal controls (NC) underwent resting state functional MRI (rsfMRI) scanning on a 3.0 Tesla MR scanner. The offspring were subdivided into asymptomatic offspring (AO) (n = 41) and symptomatic offspring (SO) (n = 39) according to whether they manifested subthreshold mood symptoms. After identifying the different hippocampus FCs between the AO and SO, a logistic regression analysis was conducted to investigate whether the baseline hippocampus FCs predicted a future mood disorder during a 6-year follow-up.Results: We identified seven baseline para/hippocampus FCs that showed differences between AO and SO, which were entered as predictive features in the logistic regressive model. Of the 80 bipolar offspring entering the analysis, the FCs between left hippocampus and left precuneus, and between right hippocampus and left pos-terior cingulate, showed a discriminative capacity for predicting future mood disorder (area-under-curve, or AUC=75.76 % and 75.00 % respectively), and for predicting BD onset (AUC=77.46 % and 81.63 %, respectively).Conclusions: The present findings revealed high predictive utility of the hippocampus resting state FCs for future mood disorder and BD onset in individuals at familial risk. These neural markers can potentially improve early detection of individuals carrying particularly high risk for future mood disorder.
引用
收藏
页数:10
相关论文
共 49 条
  • [21] A longitudinal functional connectivity analysis of the amygdala in bipolar I disorder across mood states
    Cerullo, Michael A.
    Fleck, David E.
    Eliassen, James C.
    Smith, Matt S.
    DelBello, Melissa P.
    Adler, Caleb M.
    Strakowski, Stephen M.
    BIPOLAR DISORDERS, 2012, 14 (02) : 175 - 184
  • [22] A pilot study of visual backward masking performance among affected versus unaffected offspring of parents with bipolar disorder
    MacQueen, GM
    Grof, P
    Alda, M
    Marriott, M
    Young, LT
    Duffy, A
    BIPOLAR DISORDERS, 2004, 6 (05) : 374 - 378
  • [23] Variation in the CACNB2 gene is associated with functional connectivity of the Hippocampus in bipolar disorder
    Liu, Fang
    Gong, Xiaohong
    Yao, Xudong
    Cui, Lingling
    Yin, Zhiyang
    Li, Chao
    Tang, Yanqing
    Wang, Fei
    BMC PSYCHIATRY, 2019, 19 (1)
  • [24] Variation in the CACNB2 gene is associated with functional connectivity of the Hippocampus in bipolar disorder
    Fang Liu
    Xiaohong Gong
    Xudong Yao
    Lingling Cui
    Zhiyang Yin
    Chao Li
    Yanqing Tang
    Fei Wang
    BMC Psychiatry, 19
  • [25] The clinical trajectory of emerging bipolar disorder among the high-risk offspring of bipolar parents: current understanding and future considerations
    Duffy, A.
    Vandeleur, C.
    Heffer, N.
    Preisig, M.
    INTERNATIONAL JOURNAL OF BIPOLAR DISORDERS, 2017, 5 : 1 - 11
  • [26] Altered functional connectivity and hyperactivity of the caudal hippocampus in schizophrenia compared with bipolar disorder: a resting state fMRI (functional magnetic resonance imaging) study
    Zhang, Li
    Wang, Wenli
    Ruan, Yuan
    Li, Zhiyong
    Sun, Le
    Ji, Gong-Jun
    Tian, Yanghua
    Wang, Kai
    BMC PSYCHIATRY, 2025, 25 (01)
  • [27] A functional connectivity comparison between attention deficit hyperactivity disorder and bipolar disorder in medication-naive adolescents with mood fluctuation and attention problems
    Son, Young Don
    Han, Doug Hyun
    Kim, Sun Mi
    Min, Kyung Joon
    Renshaw, Perry F.
    PSYCHIATRY RESEARCH-NEUROIMAGING, 2017, 263 : 1 - 7
  • [28] Resting state functional connectivity of five neural networks in bipolar disorder and schizophrenia
    Mamah, Daniel
    Barch, Deanna M.
    Repovs, Grega
    JOURNAL OF AFFECTIVE DISORDERS, 2013, 150 (02) : 601 - 609
  • [29] Neural Functional Connectivity Changes to Psychological Stress in Young Adults With Bipolar Disorder
    Preston, Alex
    Tretyak, Valeria
    Kirsch, Dylan
    Le, Vanessa
    Weber, Wade
    Strakowski, Stephen
    Lippard, Elizabeth
    BIOLOGICAL PSYCHIATRY, 2020, 87 (09) : S313 - S313
  • [30] Large Scale Functional Neural Networks Implicated in Bipolar Disorder: A Meta-Analytic Review of Resting-State Functional Connectivity
    Hough, Christina
    Sandman, Christina
    Ohanian, Leoneh
    Garcia, Samantha
    Kaiser, Roselinde
    BIOLOGICAL PSYCHIATRY, 2019, 85 (10) : S158 - S158