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Fan F, Wang Z, Fan H, Shi J, Guo H, Yang F, Tan S, Tan Y. Functional disconnection between subsystems of the default mode network in bipolar disorder. J Affect Disord 2023; 325:22-28. [PMID: 36623564 DOI: 10.1016/j.jad.2023.01.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/09/2023]
Affiliation(s)
- Fengmei Fan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Zhiren Wang
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China.
| | - Hongzhen Fan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Jing Shi
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Hua Guo
- Zhumadian Psychiatry Hospital Henan Province, China
| | - Fude Yang
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
| | - Shuping Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China.
| | - Yunlong Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing 100096, China
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Xi C, Li A, Lai J, Huang X, Zhang P, Yan S, Jiao M, Huang H, Hu S. Brain-gut microbiota multimodal predictive model in patients with bipolar depression. J Affect Disord 2023; 323:140-152. [PMID: 36400152 DOI: 10.1016/j.jad.2022.11.026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/28/2022] [Accepted: 11/07/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND The "microbiota-gut-brain axis" which bridges the brain and gut microbiota is involved in the pathological mechanisms of bipolar disorder (BD), but rare is known about the exact association patterns and the potential for clinical diagnosis and treatment outcome prediction. METHODS At baseline, fecal samples and resting-state MRI data were collected from 103 BD depression patients and 39 healthy controls (HCs) for metagenomic sequencing and network-based functional connectivity (FC), grey matter volume (GMV) analyses. All patients then received 4-weeks quetiapine treatment and were further classified as responders and non-responders. Based on pre-treatment datasets, the correlation networks were established between gut microbiota and neuroimaging measures and the multimodal kernal combination support vector machine (SVM) classifiers were constructed to distinguish BD patients from HCs, and quetiapine responders from non-responders. RESULTS The multi-modal pre-treatment characteristics of quetiapine responders, were closer to the HCs compared to non-responders. And the correlation network analyses found the substantial correlations existed in HC between the Anaerotruncus_ unclassified,Porphyromonas_asaccharolytica,Actinomyces_graevenitzii et al. and the functional connectomes involved default mode network (DMN),somatomotor (SM), visual, limbic and basal ganglia networks were disrupted in BD. Moreover, in terms of the multimodal classifier, it reached optimized area under curve (AUC-ROC) at 0.9517 when classified BD from HC, and also acquired 0.8292 discriminating quetiapine responders from non-responders, which consistently better than even using the best unique modality. LIMITATIONS Lack post-treatment and external validation datasets; size of HCs is modest. CONCLUSIONS Multi-modalities of combining pre-treatment gut microbiota with neuroimaging endophenotypes might be a superior approach for accurate diagnosis and quetiapine efficacy prediction in BD.
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Affiliation(s)
- Caixi Xi
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorders' Management in Zhejiang Province, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310003, China; Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 310003, China
| | - Ang Li
- Gene Hospital of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Jianbo Lai
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorders' Management in Zhejiang Province, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310003, China; Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 310003, China
| | - Xiaojie Huang
- Polytechnic Institute of Zhejiang University, Hangzhou 310015, China
| | - Peifen Zhang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorders' Management in Zhejiang Province, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310003, China; Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 310003, China
| | - Su Yan
- Health Management Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Mengfan Jiao
- Gene Hospital of Henan Province, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Huimin Huang
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Shaohua Hu
- Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China; The Key Laboratory of Mental Disorders' Management in Zhejiang Province, Hangzhou 310003, China; Brain Research Institute of Zhejiang University, China; Zhejiang Engineering Center for Mathematical Mental Health, Hangzhou 310003, China; MOE Frontier Science Center for Brain Science & Brain-Machine Integration, Zhejiang University, Hangzhou 310003, China; Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 310003, China.
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Soto-Vega JG, Valencia JG, Vargas C, López-Jaramillo C. Resting-state functional nuclear magnetic resonance imaging in patients with bipolar disorder: Beyond euthymia. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2022; 51:153-157. [PMID: 35778347 DOI: 10.1016/j.rcpeng.2022.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 10/05/2020] [Indexed: 06/15/2023]
Abstract
INTRODUCTION Functional nuclear magnetic resonance imaging in the resting state (R-fMRI) allows the identification of complete functional connectivity networks and the possible neuronal correlations of psychiatric disorders. The literature on R-fMRI and bipolar disorder (BD) will be reviewed, emphasising the findings in the phases of mania, hypomania and depression. METHODS It is a narrative review of the literature in which articles were searched in PubMed and Embase, with the key words in English "bipolar disorder" AND "resting state", without limit on the date of publication. RESULTS The studies of BD patients in the mania and hypomania phases who underwent R-fMRI show concordant results in terms of decreased functional cerebral connectivity between the amygdala and some cortical regions, which indicates that this functional connection would have some implication in the normal affect regulation. Patients in the depressive phase show a decrease in functional brain connectivity, but as there are several anatomical structures involved and neural networks reported in the studies, it is not possible to compare them. CONCLUSIONS There is a decrease in functional connectivity in patients with BD, but current evidence does not allow establishing specific changes in specific functional brain connectivity networks. However, there are already some findings that show correlation with the patients' symptoms.
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Affiliation(s)
| | - Jenny García Valencia
- Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Cristian Vargas
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
| | - Carlos López-Jaramillo
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
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Soto-Vega JG, Valencia JG, Vargas C, López-Jaramillo C. Resting-state functional nuclear magnetic resonance imaging in patients with bipolar disorder: beyond euthymia. REVISTA COLOMBIANA DE PSIQUIATRIA (ENGLISH ED.) 2020; 51:S0034-7450(20)30088-3. [PMID: 33735024 DOI: 10.1016/j.rcp.2020.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Accepted: 10/05/2020] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Functional nuclear magnetic resonance imaging in the resting state (R-fMRI) allows the identification of complete functional connectivity networks and the possible neuronal correlations of psychiatric disorders. The literature on R-fMRI and bipolar disorder (BD) will be reviewed, emphasising the findings in the phases of mania, hypomania and depression. METHODS It is a narrative review of the literature in which articles were searched in PubMed and Embase, with the key words in English "bipolar disorder" AND "resting state", without limit on the date of publication. RESULTS The studies of BD patients in the mania and hypomania phases who underwent R-fMRI show concordant results in terms of decreased functional cerebral connectivity between the amygdala and some cortical regions, which indicates that this functional connection would have some implication in the normal affect regulation. Patients in the depressive phase show a decrease in functional brain connectivity, but as there are several anatomical structures involved and neural networks reported in the studies, it is not possible to compare them. CONCLUSIONS There is a decrease in functional connectivity in patients with BD, but current evidence does not allow establishing specific changes in specific functional brain connectivity networks. However, there are already some findings that show correlation with the patients' symptoms.
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Affiliation(s)
| | - Jenny García Valencia
- Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
| | - Cristian Vargas
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia.
| | - Carlos López-Jaramillo
- Grupo de Investigación en Psiquiatría GIPSI, Departamento de Psiquiatría, Facultad de Medicina, Universidad de Antioquia, Medellín, Colombia
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Zhou J, Ma X, Li C, Liao A, Yang Z, Ren H, Tang J, Li J, Li Z, He Y, Chen X. Frequency-Specific Changes in the Fractional Amplitude of the Low-Frequency Fluctuations in the Default Mode Network in Medication-Free Patients With Bipolar II Depression: A Longitudinal Functional MRI Study. Front Psychiatry 2020; 11:574819. [PMID: 33488415 PMCID: PMC7819893 DOI: 10.3389/fpsyt.2020.574819] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 11/24/2020] [Indexed: 12/27/2022] Open
Abstract
Objective: This study aimed to examine the treatment-related changes of the fractional amplitude of low-frequency fluctuations (fALFF) in the default mode network (DMN) across different bands after the medication-free patients with bipolar II depression received a 16-week treatment of escitalopram and lithium. Methods: A total of 23 medication-free patients with bipolar II depression and 29 healthy controls (HCs) were recruited. We evaluated the fALFF values of slow 4 (0.027-0.073 Hz) band and slow 5 (0.01-0.027 Hz) band of the patients and compared the results with those of the 29 HCs at baseline. After 16-week treatment of escitalopram with lithium, the slow 4 and slow 5 fALFF values of the patients were assessed and compared with the baselines of patients and HCs. The depressive symptoms of bipolar II depression in patients were assessed with a 17-item Hamilton Depression Rating Scale (HDRS) before and after treatment. Results: Treatment-related effects showed increased slow 5 fALFF in cluster D (bilateral medial superior frontal gyrus, bilateral superior frontal gyrus, right middle frontal gyrus, and bilateral anterior cingulate), cluster E (bilateral precuneus/posterior cingulate, left cuneus), and cluster F (left angular, left middle temporal gyrus, left superior temporal gyrus, and left supramarginal gyrus) in comparison with the baseline of the patients. Moreover, a positive association was found between the increase in slow 5 fALFF values (follow-up value minus the baseline values) in cluster D and the decrease in HDRS scores (baseline HDRS scores minus follow-up HDRS scores) at follow-up, and the same association between the increase in slow 5 fALFF values and the decrease in HDRS scores was found in cluster E. Conclusions: The study reveals that the hypoactivity of slow 5 fALFF in the DMN is related to depression symptoms and might be corrected by the administration of escitalopram with lithium, implying that slow 5 fALFF of the DMN plays a key role in bipolar depression.
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Affiliation(s)
- Jun Zhou
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
| | - Xiaoqian Ma
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
| | - Chunwang Li
- Department of Radiology, Hunan Children's Hospital, Changsha, China
| | - Aijun Liao
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
| | - Zihao Yang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
| | - Honghong Ren
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
| | - Jinsong Tang
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University, Hangzhou, China
| | - Jinguang Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
| | - Zongchang Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
| | - Ying He
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
| | - Xiaogang Chen
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,National Clinical Research Center for Mental Disorders, Changsha, China.,National Technology Institute on Mental Disorders, Changsha, China.,Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.,Mental Health Institute of Central South University, Changsha, China
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Minuzzi L, Syan SK, Smith M, Hall A, Hall GB, Frey BN. Structural and functional changes in the somatosensory cortex in euthymic females with bipolar disorder. Aust N Z J Psychiatry 2018; 52:1075-1083. [PMID: 29232965 DOI: 10.1177/0004867417746001] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Current evidence from neuroimaging data suggests possible dysfunction of the fronto-striatal-limbic circuits in individuals with bipolar disorder. Somatosensory cortical function has been implicated in emotional recognition, risk-taking and affective responses through sensory modalities. This study investigates anatomy and function of the somatosensory cortex in euthymic bipolar women. METHODS In total, 68 right-handed euthymic women (bipolar disorder = 32 and healthy controls = 36) between 16 and 45 years of age underwent high-resolution anatomical and functional magnetic resonance imaging during the mid-follicular menstrual phase. The somatosensory cortex was used as a seed region for resting-state functional connectivity analysis. Voxel-based morphometry was used to evaluate somatosensory cortical gray matter volume between groups. RESULTS We found increased resting-state functional connectivity between the somatosensory cortex and insular cortex, inferior prefrontal gyrus and frontal orbital cortex in euthymic bipolar disorder subjects compared to healthy controls. Voxel-based morphometry analysis showed decreased gray matter in the left somatosensory cortex in the bipolar disorder group. Whole-brain voxel-based morphometry analysis controlled by age did not reveal any additional significant difference between groups. CONCLUSION This study is the first to date to evaluate anatomy and function of the somatosensory cortex in a well-characterized sample of euthymic bipolar disorder females. Anatomical and functional changes in the somatosensory cortex in this population might contribute to the pathophysiology of bipolar disorder.
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Affiliation(s)
- Luciano Minuzzi
- 1 Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,2 MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,3 Mood Disorders Program, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,4 Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Sabrina K Syan
- 2 MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,4 Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Mara Smith
- 1 Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - Alexander Hall
- 4 Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
| | - Geoffrey Bc Hall
- 2 MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,5 Department of Psychology, Neuroscience & Behaviour, McMaster University, Hamilton, ON, Canada
| | - Benicio N Frey
- 1 Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada.,2 MiNDS Neuroscience Graduate Program, McMaster University, Hamilton, ON, Canada.,3 Mood Disorders Program, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada.,4 Women's Health Concerns Clinic, St Joseph's Healthcare Hamilton, Hamilton, ON, Canada
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