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Pan N, Qin K, Patino LR, Tallman MJ, Lei D, Lu L, Li W, Blom TJ, Bruns KM, Welge JA, Strawn JR, Gong Q, Sweeney JA, Singh MK, DelBello MP. Aberrant brain network topology in youth with a familial risk for bipolar disorder: a task-based fMRI connectome study. J Child Psychol Psychiatry 2024; 65:1072-1086. [PMID: 38220469 PMCID: PMC11246494 DOI: 10.1111/jcpp.13946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/26/2023] [Indexed: 01/16/2024]
Abstract
BACKGROUND Youth with a family history of bipolar disorder (BD) may be at increased risk for mood disorders and for developing side effects after antidepressant exposure. The neurobiological basis of these risks remains poorly understood. We aimed to identify biomarkers underlying risk by characterizing abnormalities in the brain connectome of symptomatic youth at familial risk for BD. METHODS Depressed and/or anxious youth (n = 119, age = 14.9 ± 1.6 years) with a family history of BD but no prior antidepressant exposure and typically developing controls (n = 57, age = 14.8 ± 1.7 years) received functional magnetic resonance imaging (fMRI) during an emotional continuous performance task. A generalized psychophysiological interaction (gPPI) analysis was performed to compare their brain connectome patterns, followed by machine learning of topological metrics. RESULTS High-risk youth showed weaker connectivity patterns that were mainly located in the default mode network (DMN) (network weight = 50.1%) relative to controls, and connectivity patterns derived from the visual network (VN) constituted the largest proportion of aberrant stronger pairs (network weight = 54.9%). Global local efficiency (Elocal, p = .022) and clustering coefficient (Cp, p = .029) and nodal metrics of the right superior frontal gyrus (SFG) (Elocal: p < .001; Cp: p = .001) in the high-risk group were significantly higher than those in healthy subjects, and similar patterns were also found in the left insula (degree: p = .004; betweenness: p = .005; age-by-group interaction, p = .038) and right hippocampus (degree: p = .003; betweenness: p = .003). The case-control classifier achieved a cross-validation accuracy of 78.4%. CONCLUSIONS Our findings of abnormal connectome organization in the DMN and VN may advance mechanistic understanding of risk for BD. Neuroimaging biomarkers of increased network segregation in the SFG and altered topological centrality in the insula and hippocampus in broader limbic systems may be used to target interventions tailored to mitigate the underlying risk of brain abnormalities in these at-risk youth.
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Affiliation(s)
- Nanfang Pan
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences; Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
- Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, China
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Kun Qin
- Department of Radiology, Taihe Hospital, Hubei University of Medicine, Shiyan, China
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Luis R. Patino
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Maxwell J. Tallman
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Du Lei
- College of Medical Informatics, Chongqing Medical University, Chongqing, China
| | - Lu Lu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences; Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Wenbin Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences; Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Thomas J. Blom
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Kaitlyn M. Bruns
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Jeffrey A. Welge
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Jeffrey R. Strawn
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences; Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen, Fujian, China
| | - John A. Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University; Research Unit of Psychoradiology, Chinese Academy of Medical Sciences; Functional & Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu, China
- Department of Psychiatry, University of Cincinnati, Cincinnati, Ohio, USA
| | - Manpreet K. Singh
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, California, USA
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Liu Z, Lu W, Zou W, Gao Y, Li X, Xu G, So KF, McIntyre RS, Lin K, Shao R. A preliminary study on brain developmental features of bipolar disorder familial risk and subthreshold symptoms. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2024:S2451-9022(24)00163-0. [PMID: 38909895 DOI: 10.1016/j.bpsc.2024.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 05/21/2024] [Accepted: 06/18/2024] [Indexed: 06/25/2024]
Abstract
BACKGROUND Risk for Bipolar disorder (BD) is increased among individuals with family history or subthreshold mood symptoms. However, the brain structural developments associated with these BD risks remained unknown. METHODS This longitudinal cohort study examined the brain grey matter volume (GMV) developmental features of familial and symptomatic risks for BD, and their associations with participants' global function levels. We recruited unaffected BD offspring with (N=26, age=14.9±2.9 years, 14 females) or without (N=35, age=15.3±2.7 years, 19 females) subthreshold manic or depressive symptoms, and unaffected non-BD offspring with (N=49, age=14.5±2.2 years, 30 females) or without (N=68, age=15.0±2.3 years, 37 females) symptoms. The offspring had no mood disorder diagnosis prior to the study. The average follow-up duration was 2.63±1.63 years. RESULTS We found at baseline, significant interactive effects of familial risk and subthreshold symptoms indicated the symptomatic offspring exhibited markedly large GMV in the brain affective and cognitive circuitries. During follow-up, the combined group of BD offspring (symptomatic and non-symptomatic) displayed accelerated GMV decrease than BD non-offspring, in the hippocampus and anterior cingulate cortex. In contrast, the combined group of symptomatic participants (offspring and non-offspring) displayed slower GMV decrease than non-symptomatic participants, in the ventromedial prefrontal cortex. Larger GMV at baseline, and accelerated GMV decrease during follow-up, prospectively and longitudinally predicted positive global function changes. All results survived multiple-testing correction. CONCLUSIONS These findings indicated that familial and symptomatic risks of BD are associated with distinct brain structural developments, and unraveled key brain developmental features of particularly vulnerable high-risk individuals to subsequent functional deterioration.
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Affiliation(s)
- Zhongwan Liu
- Department of Affective Disorder, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, P.R. China
| | - Weicong Lu
- Department of Affective Disorder, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, P.R. China
| | - Wenjin Zou
- Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, P.R. China; Department of Radiology, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, P.R. China
| | - Yanling Gao
- Department of Affective Disorder, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, P.R. China
| | - Xiaoyue Li
- Department of Affective Disorder, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, P.R. China
| | - Guiyun Xu
- Department of Affective Disorder, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, P.R. China
| | - Kwok-Fai So
- Ministry of Education Joint International Research Laboratory of CNS Regeneration, Jinan University, Guangzhou, Guangdong Province, P.R. China; School of Health and Life Sciences, University of Health and Rehabilitation Sciences, No. 17, Shandong Road, Shinan district, Qingdao City, Shandong Province, P.R. China
| | - Roger S McIntyre
- Department of Psychiatry, University of Toronto, Toronto, Canada; Brain and Cognition Discovery Foundation, Toronto, Canada; Professor and Nanshan Scholar, Guangzhou Medical University, Guangzhou, China
| | - Kangguang Lin
- Department of Affective Disorder, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, P.R. China; Ministry of Education Joint International Research Laboratory of CNS Regeneration, Jinan University, Guangzhou, Guangdong Province, P.R. China.
| | - Robin Shao
- Department of Affective Disorder, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, P.R. China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, P.R. China.
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Meng X, Zhang S, Zhou S, Ma Y, Yu X, Guan L. Putative Risk Biomarkers of Bipolar Disorder in At-risk Youth. Neurosci Bull 2024:10.1007/s12264-024-01219-w. [PMID: 38710851 DOI: 10.1007/s12264-024-01219-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 03/08/2024] [Indexed: 05/08/2024] Open
Abstract
Bipolar disorder is a highly heritable and functionally impairing disease. The recognition and intervention of BD especially that characterized by early onset remains challenging. Risk biomarkers for predicting BD transition among at-risk youth may improve disease prognosis. We reviewed the more recent clinical studies to find possible pre-diagnostic biomarkers in youth at familial or (and) clinical risk of BD. Here we found that putative biomarkers for predicting conversion to BD include findings from multiple sample sources based on different hypotheses. Putative risk biomarkers shown by perspective studies are higher bipolar polygenetic risk scores, epigenetic alterations, elevated immune parameters, front-limbic system deficits, and brain circuit dysfunction associated with emotion and reward processing. Future studies need to enhance machine learning integration, make clinical detection methods more objective, and improve the quality of cohort studies.
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Affiliation(s)
- Xinyu Meng
- Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Shengmin Zhang
- Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Shuzhe Zhou
- Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Yantao Ma
- Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Xin Yu
- Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China
| | - Lili Guan
- Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, 100191, China.
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Li G, Zhang B, Long M, Ma J. Abnormal degree centrality can be a potential imaging biomarker in first-episode, drug-naive bipolar mania. Neuroreport 2023; 34:323-331. [PMID: 37010493 PMCID: PMC10065818 DOI: 10.1097/wnr.0000000000001896] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 02/14/2023] [Indexed: 04/04/2023]
Abstract
Brain network abnormalities in emotional response exist in bipolar mania. However, few studies have been published on network degree centrality of first-episode, drug-naive bipolar mania, and healthy controls. This study aimed to assess the utility of neural activity values analyzed via degree centrality methods. Sixty-six first-episode, drug-naive patients with bipolar mania and 60 healthy controls participated in resting-state functional magnetic resonance rescanning and scale estimating. The degree centrality and receiver operating characteristic (ROC) curve methods were used for an analysis of the imaging data. Relative to healthy controls, first-episode bipolar mania patients displayed increased degree centrality values in the left middle occipital gyrus, precentral gyrus, supplementary motor area, Precuneus, and decreased degree centrality values in the left parahippocampal gyrus, right insula and superior frontal gyrus, medial. ROC results exhibited degree centrality values in the left parahippocampal gyrus that could distinguish first-episode bipolar mania patients from healthy controls with 0.8404 for AUC. Support vector machine results showed that reductions in degree centrality values in the left parahippocampal gyrus can be used to effectively differentiate between bipolar disorder patients and healthy controls with respective accuracy, sensitivity, and specificity values of 83.33%, 85.51%, and 88.41%. Increased activity in the left parahippocampal gyrus may be a distinctive neurobiological feature of first-episode, drug-naive bipolar mania. Degree centrality values in the left parahippocampal gyrus might be served as a potential neuroimaging biomarker to discriminate first-episode, drug-naive bipolar mania patients from healthy controls.
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Affiliation(s)
- Guangyu Li
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan
- Yunnan Psychiatric Hospital, Kunming
| | - Baoli Zhang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan
| | - Meixin Long
- Department of Neurology, The First Affiliated Hospital of Harbin Medical University, Harbin
| | - Jun Ma
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan
- Department of Psychiatry, Wuhan Mental Health Center
- Wuhan Hospital for Psychotherapy, Wuhan, China
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