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Hu X, Cheng B, Tang Y, Long T, Huang Y, Li P, Song Y, Song X, Li K, Yin Y, Chen X. Gray matter volume and corresponding covariance connectivity are biomarkers for major depressive disorder. Brain Res 2024; 1837:148986. [PMID: 38714227 DOI: 10.1016/j.brainres.2024.148986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 04/06/2024] [Accepted: 05/04/2024] [Indexed: 05/09/2024]
Abstract
The major depressive disorder (MDD) is a common and severe mental disorder. To identify a reliable biomarker for MDD is important for early diagnosis and prevention. Given easy access and high reproducibility, the structural magnetic resonance imaging (sMRI) is an ideal method to identify the biomarker for depression. In this study, sMRI data of first episode, treatment-naïve 66 MDD patients and 54 sex-, age-, and education-matched healthy controls (HC) were used to identify the differences in gray matter volume (GMV), group-level, individual-level covariance connections. Finally, the abnormal GMV and individual covariance connections were applied to classify MDD from HC. MDD patients showed higher GMV in middle occipital gyrus (MOG) and precuneus (PCun), and higher structural covariance connections between MOG and PCun. In addition, the Allen Human Brain Atlas (AHBA) was applied and revealed the genetic basis for the changes of gray matter volume. Importantly, we reported that GMV in MOG, PCun and structural covariance connectivity between MOG and PCun are able to discriminate MDD from HC. Our results revealed structural underpinnings for MDD, which may contribute towards early discriminating for depression.
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Affiliation(s)
- Xiao Hu
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu 610041, China
| | - Bochao Cheng
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yuying Tang
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Tong Long
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yan Huang
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Pei Li
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yu Song
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Xiyang Song
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Kun Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yijie Yin
- School of Sociality and Psychology, Southwest Minzu University, Chengdu 610041, China
| | - Xijian Chen
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
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Cao Y, Sun H, Lizano P, Deng G, Zhou X, Xie H, Mu J, Long X, Xiao H, Liu S, Wu B, Gong Q, Qiu C, Jia Z. Effects of inflammation, childhood adversity, and psychiatric symptoms on brain morphometrical phenotypes in bipolar II depression. Psychol Med 2024; 54:775-784. [PMID: 37671675 DOI: 10.1017/s0033291723002477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/07/2023]
Abstract
BACKGROUND The neuroanatomical alteration in bipolar II depression (BDII-D) and its associations with inflammation, childhood adversity, and psychiatric symptoms are currently unclear. We hypothesize that neuroanatomical deficits will be related to higher inflammation, greater childhood adversity, and worse psychiatric symptoms in BDII-D. METHODS Voxel- and surface-based morphometry was performed using the CAT toolbox in 150 BDII-D patients and 155 healthy controls (HCs). Partial Pearson correlations followed by multiple comparison correction was used to indicate significant relationships between neuroanatomy and inflammation, childhood adversity, and psychiatric symptoms. RESULTS Compared with HCs, the BDII-D group demonstrated significantly smaller gray matter volumes (GMVs) in frontostriatal and fronto-cerebellar area, insula, rectus, and temporal gyrus, while significantly thinner cortices were found in frontal and temporal areas. In BDII-D, smaller GMV in the right middle frontal gyrus (MFG) was correlated with greater sexual abuse (r = -0.348, q < 0.001) while larger GMV in the right orbital MFG was correlated with greater physical neglect (r = 0.254, q = 0.03). Higher WBC count (r = -0.227, q = 0.015) and IL-6 levels (r = -0.266, q = 0.015) was associated with smaller GMVs in fronto-cerebellar area in BDII-D. Greater positive symptoms was correlated with larger GMVs of the left middle temporal pole (r = 0.245, q = 0.03). CONCLUSIONS Neuroanatomical alterations in frontostriatal and fronto-cerebellar area, insula, rectus, temporal gyrus volumes, and frontal-temporal thickness may reflect a core pathophysiological mechanism of BDII-D, which are related to inflammation, trauma, and psychiatric symptoms in BDII-D.
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Affiliation(s)
- Yuan Cao
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, P.R. China
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena 07743, Germany
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, P.R. China
| | - Huan Sun
- Mental Health Center, West China Hospital of Sichuan University, Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu 610041, P.R. China
| | - Paulo Lizano
- The Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
- The Department of Psychiatry, Harvard Medical School, Boston, MA 02215, USA
| | - Gaoju Deng
- Mental Health Center, West China Hospital of Sichuan University, Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu 610041, P.R. China
| | - Xiaoqin Zhou
- Department of Clinical Research Management, West China Hospital of Sichuan University, Chengdu 610041, P.R. China
| | - Hongsheng Xie
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, P.R. China
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, P.R. China
| | - Jingshi Mu
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, P.R. China
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, P.R. China
| | - Xipeng Long
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, P.R. China
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, P.R. China
| | - Hongqi Xiao
- Mental Health Center, West China Hospital of Sichuan University, Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu 610041, P.R. China
| | - Shiyu Liu
- Mental Health Center, West China Hospital of Sichuan University, Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu 610041, P.R. China
| | - Baolin Wu
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, P.R. China
| | - Qiyong Gong
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, P.R. China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen 361021, P.R. China
| | - Changjian Qiu
- Mental Health Center, West China Hospital of Sichuan University, Sichuan Clinical Medical Research Center for Mental Disorders, Chengdu 610041, P.R. China
| | - Zhiyun Jia
- Department of Nuclear Medicine, West China Hospital of Sichuan University, Chengdu 610041, P.R. China
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu 610041, P.R. China
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Chang Y, Yu C, Huang C, Wang T, Dziobek I, Lane H. Discrepancy of social cognition between bipolar disorders and major depressive disorders. Brain Behav 2024; 14:e3365. [PMID: 38376012 PMCID: PMC10757902 DOI: 10.1002/brb3.3365] [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] [Received: 11/09/2022] [Revised: 11/02/2023] [Accepted: 11/28/2023] [Indexed: 02/21/2024] Open
Abstract
BACKGROUND The research landscape examining social cognition (SC) impairment in patients with major depressive disorders (MDD) and bipolar disorders (BD) is notably scarce. Presently, assessments predominantly rely on static stimuli and self-reported measures, which may not capture the dynamic dimensions of social cognition. OBJECTIVES This study aimed to validate the Chinese version of Movie Assessment of Social Cognition (MASC-CH) and to investigate whether MDD and BD exhibit distinct patterns of SC impairments, shedding light on potential differences between these two mood disorders. METHODS The study encompassed 197 participants, aged 18-65, distributed as follows: 21 BD, 20 MDD, and 156 healthy controls (HC). We focused on examining "cognitive" and "emotional" SC scores and "undermentalizing" and "overmentalizing" error patterns, with nonsocial inference as a control. Additional assessments included the Reading Mind in the Eyes Test (RMET) and the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT). We also explored the association between depression severity (measured by the Hamilton Depressive Rating Scale, HDRS) and distinct SC dimensions between MDD and BD. RESULTS The MASC-CH exhibited strong validity and reliability for SC assessment. In group comparisons, BD participants scored significantly lower on MASC-CH, while the MDD group scores were not significantly different from HC. Specifically, BD individuals had notably lower cognitive SC scores and made more undermentalizing and absence of mentalizing errors than MDD and HC. Additionally, a negative correlation between HDRS score and overmentalizing was observed in BD, not in the MDD. CONCLUSIONS The findings indicate that depression severity scores in BD were inversely related to MASC-CH scores. In contrast, this relationship was not observed in the MDD group. These results underscore the importance of SC impairments as distinguishing characteristics of both BD and MDD. It provides valuable insights into the distinct social-cognitive profiles of both mood disorders.
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Affiliation(s)
- Yun‐Hsuan Chang
- Institute of Gerontology, College of MedicineNational Cheng Kung UniversityTainanTaiwan
- Institute of Behavioral Medicine, College of MedicineNational Cheng Kung UniversityTainanTaiwan
- Department of PsychologyNational Cheng Kung UniversityTainanTaiwan
- Institute of Genomics and BioinformaticsCollege of Life Sciences, National Chung Hsing UniversityTaichungTaiwan
| | - Chu‐Ling Yu
- Department of Psychology, College of Medical and Health SciencesAsia UniversityTaichungTaiwan
- Department of PsychiatryChina Medical University Hsinchu HospitalHsinchuTaiwan
| | - Chih‐Chun Huang
- Department of PsychiatryNational Cheng Kung University Hospital, Dou‐Liou BranchYunlinTaiwan
- Department of Psychiatry, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan
| | - Tzu‐Yun Wang
- Department of Psychiatry, National Cheng Kung University Hospital, College of MedicineNational Cheng Kung UniversityTainanTaiwan
| | - Isabel Dziobek
- Berlin School of Mind and BrainHumboldt‐Universität zu BerlinBerlinGermany
| | - Hsien‐Yuan Lane
- Department of Psychology, College of Medical and Health SciencesAsia UniversityTaichungTaiwan
- Graduate Institute of Biomedical SciencesChina Medical UniversityTaichungTaiwan
- Department of Psychiatry and Brain Disease Research CenterChina Medical University HospitalTaichungTaiwan
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Förster K, Maliske LZ, Schurz M, Henneberg PM, Dannlowski U, Kanske P. How do bipolar disease states affect positive and negative emotion processing? Insights from a meta-analysis on the neural fingerprints of emotional processing. Bipolar Disord 2023; 25:540-553. [PMID: 37248623 DOI: 10.1111/bdi.13341] [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] [Indexed: 05/31/2023]
Abstract
BACKGROUND Functional magnetic resonance imaging studies on emotion processing in patients with bipolar disorder (BD) show hyperactivity of limbic-striatal brain areas and hypoactivity in inferior frontal areas compared to healthy participants. However, heterogeneous results in patients with different disease states and different valences of emotional stimuli have been identified. METHODS To integrate previous results and elucidate the impact of disease state and stimulus valence, we conducted a systematic literature search for journal articles in the Web of Science Core Collection including MEDLINE databases and employed a coordinate-based-meta-analysis of functional-MRI studies comparing emotion processing in BD-patients with healthy participants using seed-based d mapping (SDM) to test for between-subjects-effects. We included 31 studies published before 11/2022 with a total of N = 766 BD-patients and N = 836 controls. RESULTS Patients with BD showed hyperactivated regions involved in salience processing of emotional stimuli (e.g., the bilateral insula) and hypoactivation of regions associated with emotion regulation (e.g., inferior frontal gyrus) during emotion processing, compared to healthy participants. A more detailed descriptive analysis revealed a hypoactive (anterior) insula in manic BD-patients specifically for negative in comparison to positive emotion processing. DISCUSSION This meta-analysis corroborates the overall tenor of existing literature that patients with BD show an increased emotional reactivity (hyperactivity of salience-processing regions) together with a lower (cognitive) control (hypoactivity of brain areas associated with emotion regulation) over emotional states. Our analysis suggests reduced interoceptive processing of negative stimuli in mania, pointing out the need for longitudinal within-subject analyses of emotion processing.
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Affiliation(s)
- Katharina Förster
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Lara Z Maliske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Matthias Schurz
- Institute of Psychology and Digital Science Center (DiSC), University of Innsbruck, Innsbruck, Austria
| | - Paula M Henneberg
- Clinic and Outpatient Clinic of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Philipp Kanske
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
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Xue C, Zhang X, Cao P, Yuan Q, Liang X, Zhang D, Qi W, Hu J, Xiao C. Evidence of functional abnormalities in the default mode network in bipolar depression: A coordinate-based activation likelihood estimation meta-analysis. J Affect Disord 2023; 326:96-104. [PMID: 36717032 DOI: 10.1016/j.jad.2023.01.088] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Revised: 01/15/2023] [Accepted: 01/25/2023] [Indexed: 01/30/2023]
Abstract
BACKGROUND The default mode network (DMN) is thought to be involved in the pathophysiology of bipolar depression (BD). However, the findings of prior studies on DMN alterations in BD are inconsistent. Thus, this study aimed to systematically investigate functional abnormalities of the DMN in BD patients. METHODS We systematically searched PubMed, Ovid, and Web of Science for functional neuroimaging studies on regional homogeneity, amplitude of low frequency fluctuations (ALFF), and functional connectivity of the DMN in BD patients published before March 18, 2022. The stereotactic coordinates of the reported altered brain regions were extracted and incorporated into a brain map using the coordinate-based activation likelihood estimation approach. RESULTS A total of 43 original research studies were included in the meta-analysis. BD patients showed specific changes in the DMN including decreased ALFF/fractional ALFF in the left cingulate gyrus (CG) and bilateral precuneus (PCUN); increased functional connectivity (FC) in the left CG, left posterior CG, left PCUN, bilateral medial frontal gyrus, and bilateral superior frontal gyrus; and decreased FC in the left CG, left PCUN, left inferior parietal lobule, and left postcentral gyrus. LIMITATIONS Conclusions are limited by the small number of studies, additional meta-analyses are needed to obtain more data in BD subgroup. CONCLUSION This meta-analysis supports specific changes in DMN activity and FC in BD patients, which may be powerful biomarkers for the diagnosis of BD. The CG and PCUN were the most affected regions and are thus potential targets for clinical interventions to delay BD progression.
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Affiliation(s)
- Chen Xue
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Xulian Zhang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Ping Cao
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Qianqian Yuan
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Xuhong Liang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Da Zhang
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Wenzhang Qi
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Jun Hu
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
| | - Chaoyong Xiao
- Department of Radiology, the Affiliated Brain Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China.
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Dou R, Gao W, Meng Q, Zhang X, Cao W, Kuang L, Niu J, Guo Y, Cui D, Jiao Q, Qiu J, Su L, Lu G. Machine learning algorithm performance evaluation in structural magnetic resonance imaging-based classification of pediatric bipolar disorders type I patients. Front Comput Neurosci 2022; 16:915477. [PMID: 36082304 PMCID: PMC9445985 DOI: 10.3389/fncom.2022.915477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 07/21/2022] [Indexed: 11/15/2022] Open
Abstract
The diagnosis based on clinical assessment of pediatric bipolar disorder (PBD) may sometimes lead to misdiagnosis in clinical practice. For the past several years, machine learning (ML) methods were introduced for the classification of bipolar disorder (BD), which were helpful in the diagnosis of BD. In this study, brain cortical thickness and subcortical volume of 33 PBD-I patients and 19 age-sex matched healthy controls (HCs) were extracted from the magnetic resonance imaging (MRI) data and set as features for classification. The dimensionality reduced feature subset, which was filtered by Lasso or f_classif, was sent to the six classifiers (logistic regression (LR), support vector machine (SVM), random forest classifier, naïve Bayes, k-nearest neighbor, and AdaBoost algorithm), and the classifiers were trained and tested. Among all the classifiers, the top two classifiers with the highest accuracy were LR (84.19%) and SVM (82.80%). Feature selection was performed in the six algorithms to obtain the most important variables including the right middle temporal gyrus and bilateral pallidum, which is consistent with structural and functional anomalous changes in these brain regions in PBD patients. These findings take the computer-aided diagnosis of BD a step forward.
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Affiliation(s)
- Ruhai Dou
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Weijia Gao
- Department of Child Psychology, The Children’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qingmin Meng
- Department of Interventional Radiology, Taian Central Hospital, Taian, China
| | - Xiaotong Zhang
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Weifang Cao
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Liangfeng Kuang
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Jinpeng Niu
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Yongxin Guo
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Dong Cui
- Institute of Biomedical Engineering, Chinese Academy of Medical Sciences and Peking Union Medical College, Tianjin, China
| | - Qing Jiao
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
- *Correspondence: Qing Jiao,
| | - Jianfeng Qiu
- Department of Radiology, Shandong First Medical University and Shandong Academy of Medical Sciences, Taian, China
| | - Linyan Su
- Key Laboratory of Psychiatry and Mental Health of Hunan Province, Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China
| | - Guangming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Medical College, Nanjing University, Nanjing, China
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Siegel-Ramsay JE, Bertocci MA, Wu B, Phillips ML, Strakowski SM, Almeida JRC. Distinguishing between depression in bipolar disorder and unipolar depression using magnetic resonance imaging: a systematic review. Bipolar Disord 2022; 24:474-498. [PMID: 35060259 DOI: 10.1111/bdi.13176] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Magnetic resonance imaging (MRI) studies comparing bipolar and unipolar depression characterize pathophysiological differences between these conditions. However, it is difficult to interpret the current literature due to differences in MRI modalities, analysis methods, and study designs. METHODS We conducted a systematic review of publications using MRI to compare individuals with bipolar and unipolar depression. We grouped studies according to MRI modality and task design. Within the discussion, we critically evaluated and summarized the functional MRI research and then further complemented these findings by reviewing the structural MRI literature. RESULTS We identified 88 MRI publications comparing participants with bipolar depression and unipolar depressive disorder. Compared to individuals with unipolar depression, participants with bipolar disorder exhibited heightened function, increased within network connectivity, and reduced grey matter volume in salience and central executive network brain regions. Group differences in default mode network function were less consistent but more closely associated with depressive symptoms in participants with unipolar depression but distractibility in bipolar depression. CONCLUSIONS When comparing mood disorder groups, the neuroimaging evidence suggests that individuals with bipolar disorder are more influenced by emotional and sensory processing when responding to their environment. In contrast, depressive symptoms and neurofunctional response to emotional stimuli were more closely associated with reduced central executive function and less adaptive cognitive control of emotionally oriented brain regions in unipolar depression. Researchers now need to replicate and refine network-level trends in these heterogeneous mood disorders and further characterize MRI markers associated with early disease onset, progression, and recovery.
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Affiliation(s)
- Jennifer E Siegel-Ramsay
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Michele A Bertocci
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Bryan Wu
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Mary L Phillips
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Stephen M Strakowski
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
| | - Jorge R C Almeida
- Department of Psychiatry and Behavioral Sciences, Dell Medical School, University of Texas, Austin, Texas, USA
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8
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Altered brain activation during reward anticipation in bipolar disorder. Transl Psychiatry 2022; 12:300. [PMID: 35902559 PMCID: PMC9334601 DOI: 10.1038/s41398-022-02075-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 07/15/2022] [Accepted: 07/19/2022] [Indexed: 02/05/2023] Open
Abstract
Although altered reward sensitivity has been observed in individuals with bipolar disorder (BD), the brain function findings related to reward processing remain unexplored and inconsistent. This meta-analysis aimed to identify brain activation alterations underlying reward anticipation in BD. A systematic literature research was conducted to identify fMRI studies of reward-relevant tasks performed by BD individuals. Using Anisotropic Effect Size Signed Differential Mapping, whole-brain and ROI of the ventral striatum (VS) coordinate-based meta-analyses were performed to explore brain regions showing anomalous activation in individuals with BD compared to healthy controls (HC), respectively. A total of 21 studies were identified in the meta-analysis, 15 of which were included in the whole-brain meta-analysis and 17 in the ROI meta-analysis. The whole-brain meta-analysis revealed hypoactivation in the bilateral angular gyrus and right inferior frontal gyrus during reward anticipation in individuals with BD compared to HC. No significant activation differences were observed in bilateral VS between two groups by whole-brain or ROI-based meta-analysis. Individuals with BD type I and individuals with euthymic BD showed altered activation in prefrontal, angular, fusiform, middle occipital gyrus, and striatum. Hypoactivation in the right angular gyrus was positively correlated with the illness duration of BD. The present study reveals the potential neural mechanism underlying impairment in reward anticipation in BD. Some clinical features such as clinical subtype, mood state, and duration of illness confound the underlying neurobiological abnormality reward anticipation in BD. These findings may have implications for identifying clinically relevant biomarkers to guide intervention strategies for BD.
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9
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Zhang Z, Huang P, Li S, Liu Z, Zhang J, Li Y, Liu Z. Neural mechanisms underlying the processing of emotional stimuli in individuals with depression: An ALE meta-analysis study. Psychiatry Res 2022; 313:114598. [PMID: 35544984 DOI: 10.1016/j.psychres.2022.114598] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 04/29/2022] [Accepted: 04/30/2022] [Indexed: 12/29/2022]
Abstract
Depression is the leading cause of physiological problems and suicide. Previous studies have indicated that individuals with depression show abnormal processing of both positive and negative emotional stimuli. However, the common and distinct patterns of brain activity during the processing of positive and negative emotional stimuli in individuals with depression remain controversial. The current meta-analysis study used the activation likelihood estimation method to investigate these issues across 21 functional magnetic resonance imaging studies. Results revealed that, compared with individuals without depression, individuals with depression showed higher activation in the anterior cingulate gyrus, insula, and middle frontal gyrus (MFG) for positive emotional stimuli and higher activation in the MFG, inferior frontal gyrus, and insula for negative emotional stimuli. Moreover, we identified that the MFG was consistently activated in individuals with depression regardless of the type of emotional stimuli. However, we did not find distinct patterns of brain activity between positive and negative emotional stimuli in individuals with depression. Our results demonstrated that both positive and negative emotional stimuli processing shares the same cognitive control-related brain regions in individuals with depression.
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Affiliation(s)
- Zhenyu Zhang
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Pujiang Huang
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Shuyu Li
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Zhiyu Liu
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Jiayao Zhang
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China
| | - Ya'nan Li
- School of Education, Qinghai Normal University, Xining, China
| | - Zhiyuan Liu
- Shaanxi Key Laboratory of Behavior and Cognitive Neuroscience, School of Psychology, Shaanxi Normal University, Xi'an, China.
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10
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Song Y, Wang K, Wei Y, Zhu Y, Wen J, Luo Y. Graph Theory Analysis of the Cortical Functional Network During Sleep in Patients With Depression. Front Physiol 2022; 13:858739. [PMID: 35721531 PMCID: PMC9199990 DOI: 10.3389/fphys.2022.858739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 04/19/2022] [Indexed: 11/24/2022] Open
Abstract
Depression, a common mental illness that seriously affects the psychological health of patients, is also thought to be associated with abnormal brain functional connectivity. This study aimed to explore the differences in the sleep-state functional network topology in depressed patients. A total of 25 healthy participants and 26 depressed patients underwent overnight 16-channel electroencephalography (EEG) examination. The cortical networks were constructed by using functional connectivity metrics of participants based on the weighted phase lag index (WPLI) between the EEG signals. The results indicated that depressed patients exhibited higher global efficiency and node strength than healthy participants. Furthermore, the depressed group indicated right-lateralization in the δ band. The top 30% of connectivity in both groups were shown in undirected connectivity graphs, revealing the distinct link patterns between the depressed and control groups. Links between the hemispheres were noted in the patient group, while the links in the control group were only observed within each hemisphere, and there were many long-range links inside the hemisphere. The altered sleep-state functional network topology in depressed patients may provide clues for a better understanding of the depression pathology. Overall, functional network topology may become a powerful tool for the diagnosis of depression.
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Affiliation(s)
- Yingjie Song
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Kejie Wang
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Yu Wei
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Yongpeng Zhu
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China
| | - Jinfeng Wen
- Department of Psychology, Guangdong, 999 Brain Hospital, Guangzhou, China
| | - Yuxi Luo
- School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instruments, Sun Yat-sen University, Guangzhou, China
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11
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A Double-Blind Randomized Trial to Investigate Mechanisms of Antidepressant-Related Dysfunctional Arousal in Depressed or Anxious Youth at Familial Risk for Bipolar Disorder. J Pers Med 2022; 12:jpm12061006. [PMID: 35743790 PMCID: PMC9225632 DOI: 10.3390/jpm12061006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 06/11/2022] [Accepted: 06/17/2022] [Indexed: 11/16/2022] Open
Abstract
Antidepressants are standardly used to treat moderate to severe symptoms of depression and/or anxiety in youth but may also be associated with rare but serious psychiatric adverse events such as irritability, agitation, aggression, or suicidal ideation. Adverse events are especially common in youth with a family history of bipolar disorder (BD) who are at heightened risk for dysfunction in neurobiological systems that regulate emotion and arousal. To further understand this phenomenon, this study will examine (a) baseline risk factors associated with dysfunctional arousal in a sample of youth at high-risk for BD treated with or without an antidepressant, (b) whether antidepressant-related changes in arousal are mediated by changes in prefrontal-limbic circuitry, and (c) whether pharmacogenetic factors influence antidepressant-related changes in arousal. High-risk youth (aged 12-17 years with moderate to severe depressive and/or anxiety symptoms and at least one first-degree relative with bipolar I disorder) will be randomized to receive psychotherapy plus escitalopram or psychotherapy plus placebo. Neuroimaging and behavioral measures of arousal will be collected prior to randomization and at 4 weeks. Samples for pharmacogenetic analysis (serum escitalopram concentration, CYP2C19 metabolizer phenotype, and HTR2A and SLC6A4 genotypes) will be collected at 8 weeks. Youth will be followed for up to 16 weeks to assess change in arousal measures.
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12
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Zhang L, Bai Y, Cui X, Cao G, Dan L, Yin H. Negative emotions and brain: negative emotions mediates the association between structural and functional variations in emotional-related brain regions and sleep quality. Sleep Med 2022; 94:8-16. [DOI: 10.1016/j.sleep.2022.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 02/07/2022] [Accepted: 03/26/2022] [Indexed: 10/18/2022]
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13
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Chen M, Chen G, Tian H, Dou G, Fang T, Cai Z, Cheng L, Chen S, Chen C, Ping J, Lin X, Chen C, Zhu J, Zhao F, Liu C, Yue W, Song X, Zhuo C. Brain Neural Activity Patterns in an Animal Model of Antidepressant-Induced Manic Episodes. Front Behav Neurosci 2022; 15:771975. [PMID: 35250499 PMCID: PMC8889145 DOI: 10.3389/fnbeh.2021.771975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/31/2021] [Indexed: 11/13/2022] Open
Abstract
Background: In the treatment of patients with bipolar disorder (BP), antidepressant-induced mania is usually observed. The rate of phase switching (from depressive to manic) in these patients exceeds 22%. The exploration of brain activity patterns during an antidepressant-induced manic phase may aid the development of strategies to reduce the phase-switching rate. The use of a murine model to explore brain activity patterns in depressive and manic phases can help us to understandthe pathological features of BP. The novel object recognition preference ratio is used to assess cognitive ability in such models. Objective: To investigate brain Ca2+ activity and behavioral expression in the depressive and manic phases in the same murine model, to aid understanding of brain activity patterns in phase switching in BP. Methods: In vivo two-photon imaging was used to observe brain activity alterations in a murine model in which induce depressive-like and manic-like behaviors were induced sequentially. The immobility time was used to assess depressive-like symptoms and the total distance traveled was used to assess manic-like symptoms. Results: In vivo two-photon imaging revealed significantly reduced brain Ca2+ activity in temporal cortex pyramidal neurons in the depressive phase in mice exposed to chronic unpredictable mild stress compared with naïve controls. The brain Ca2+ activity correlated negatively with the novel object recognition preference ratio within the immobility time. Significantly increased brain Ca2+ activity was observed in the ketamine-induced manic phase. However, this activity did not correlate with the total distance traveled. The novel object recognition preference ratio correlated negatively with the total distance traveled in the manic phase.
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Affiliation(s)
- Min Chen
- Micro-imaging Center of Psychiatric Disorder, Institute of Mental Health, Jining Medical University, Jining, China
| | - Guangdong Chen
- Center of Psychiatric Animal Model, Institute of Mental Health, Wenzhou Seventh Peoples Hospital, Wenzhou, China
- Department of Psychiatry Medical Center, Wenzhou Seventh Peoples Hospital, Wenzhou, China
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Hongjun Tian
- Key Laboratory of Real Time Tracing of Brain Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Guangqian Dou
- Key Laboratory of Real Time Tracing of Brain Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Tao Fang
- Key Laboratory of Real Time Tracing of Brain Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
| | - Ziyao Cai
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Langlang Cheng
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Suling Chen
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Ce Chen
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jing Ping
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Xiaodong Lin
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chunmian Chen
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Jingjing Zhu
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Feifei Zhao
- Department of Clinical Laboratory, Wenzhou Seventh Peoples Hospital, Wenzhou, China
| | - Chuanxin Liu
- Micro-imaging Center of Psychiatric Disorder, Institute of Mental Health, Jining Medical University, Jining, China
| | - Weihua Yue
- PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
- *Correspondence: Chuanjun Zhuo Weihua Yue Xueqin Song
| | - Xueqin Song
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Chuanjun Zhuo Weihua Yue Xueqin Song
| | - Chuanjun Zhuo
- Key Laboratory of Real Time Tracing of Brain Circuits in Psychiatry and Neurology (RTBNP_Lab), Nankai University Affiliated Tianjin Fourth Center Hospital, Tianjin Fourth Center Hospital, Tianjin, China
- Department of Psychiatry, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Chuanjun Zhuo Weihua Yue Xueqin Song
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14
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Calcium imaging reveals depressive- and manic-phase-specific brain neural activity patterns in a murine model of bipolar disorder: a pilot study. Transl Psychiatry 2021; 11:619. [PMID: 34876553 PMCID: PMC8651770 DOI: 10.1038/s41398-021-01750-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 11/18/2021] [Accepted: 11/29/2021] [Indexed: 12/25/2022] Open
Abstract
Brain pathological features during manic/hypomanic and depressive episodes in the same patients with bipolar disorder (BPD) have not been described precisely. The study aimed to investigate depressive and manic-phase-specific brain neural activity patterns of BPD in the same murine model to provide information guiding investigation of the mechanism of phase switching and tailored prevention and treatment for patients with BPD. In vivo two-photon imaging was used to observe brain activity alterations in the depressive and manic phases in the same murine model of BPD. Two-photon imaging showed significantly reduced Ca2+ activity in temporal cortex pyramidal neurons in the depression phase in mice exposed to chronic unpredictable mild stress (CUMS), but not in the manic phase in mice exposed to CUMS and ketamine. Total integrated calcium values correlated significantly with immobility times. Brain Ca2+ hypoactivity was observed in the depression and manic phases in the same mice exposed to CUMS and ketamine relative to naïve controls. The novel object recognition preference ratio correlated negatively with the immobility time in the depression phase and the total distance traveled in the manic phase. With recognition of its limitations, this study revealed brain neural activity impairment indicating that intrinsic emotional network disturbance is a mechanism of BPD and that brain neural activity is associated with cognitive impairment in the depressive and manic phases of this disorder. These findings are consistent with those from macro-imaging studies of patients with BPD. The observed correlation of brain neural activity with the severity of depressive, but not manic, symptoms need to be investigated further.
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15
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Husain SF, McIntyre RS, Tang TB, Abd Latif MH, Tran BX, Linh VG, Thao TPN, Ho CS, Ho RC. Functional near-infrared spectroscopy during the verbal fluency task of English-Speaking adults with mood disorders: A preliminary study. J Clin Neurosci 2021; 94:94-101. [PMID: 34863469 DOI: 10.1016/j.jocn.2021.10.009] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 08/10/2021] [Accepted: 10/05/2021] [Indexed: 02/07/2023]
Abstract
Functional near-infrared spectroscopy (fNIRS) provides a direct and objective assessment of cerebral cortex function. It may be used to determine neurophysiological differences between psychiatric disorders with overlapping symptoms, such as major depressive disorder (MDD) and bipolar disorder (BD). Therefore, this preliminary study aimed to compare fNIRS signals during the verbal fluency task (VFT) of English-speaking healthy controls (HC), patients with MDD and patients with BD. Fifteen HCs, 15 patients with MDD and 15 patients with BD were recruited. Groups were matched for age, gender, ethnicity and education. Relative oxy-haemoglobin and deoxy-haemoglobin changes in the frontotemporal cortex was monitored with a 52-channel fNIRS system. Integral values of the frontal and temporal regions were derived as a measure cortical haemodynamic response magnitude. Both patient groups had lower frontal and temporal region integral values than HCs, and patients with MDD had lower frontal region integral value than patients with BD. Moreover, patients could be differentiated from HCs using the frontal and temporal integral values, and patient groups could be differentiated using the frontal region integral values. VFT performance, clinical history and symptom severity were not associated with integral values. These results suggest that prefrontal cortex haemodynamic dysfunction occurs in mood disorders, and it is more extensive in MDD than BD. The fNIRS-VFT paradigm may be a potential tool for differentiating MDD from BD in clinical settings, and these findings need to be verified in a larger sample of English-speaking patients with mood disorders.
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Affiliation(s)
- Syeda Fabeha Husain
- Institute of Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Roger S McIntyre
- Mood Disorders Psychopharmacology Unit, University Health Network, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada; Department of Pharmacology, University of Toronto, Toronto, ON, Canada; Brain and Cognition Discovery Foundation, Toronto, ON, Canada
| | - Tong-Boon Tang
- Centre for Intelligent Signal and Imaging Research (CISIR), University Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, Malaysia
| | - Muhamad Hafiz Abd Latif
- Centre for Intelligent Signal and Imaging Research (CISIR), University Teknologi PETRONAS, 32610 Seri Iskandar, Perak Darul Ridzuan, Malaysia
| | - Bach X Tran
- Institute for Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Viet Nam; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Vu Gia Linh
- Institute for Global Health Innovations, Duy Tan University, Da Nang 550000, Viet Nam; Faculty of Medicine, Duy Tan University, Da Nang 550000, Viet Nam
| | - Thi Phuong Nguyen Thao
- Institute for Global Health Innovations, Duy Tan University, Da Nang 550000, Viet Nam; Faculty of Medicine, Duy Tan University, Da Nang 550000, Viet Nam
| | - Cyrus S Ho
- Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
| | - Roger C Ho
- Institute of Health Innovation and Technology (iHealthtech), National University of Singapore, Singapore; Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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16
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Li X, Wang J. Abnormal neural activities in adults and youths with major depressive disorder during emotional processing: a meta-analysis. Brain Imaging Behav 2021; 15:1134-1154. [PMID: 32710330 DOI: 10.1007/s11682-020-00299-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
BACKGROUND Abnormal neural activities during emotional processing have been found in both adults and youths with major depressive disorder. However, findings were inconsistent in each group and cannot be compared to each other. METHODS We first identified neuroimaging experiments that revealed abnormal neural activities during emotional processing in patients with major depressive disorder published from January 1997 to January 2019. Then we conducted voxel-wise meta-analyses on adult and youth patients separately and compared the two age groups using direct meta-comparison. RESULTS Fifty-four studies comprising 1141 patients and 1242 healthy controls were identified. Both adult and youth patients showed abnormal neural activities in anterior cingulate cortex, insula, superior and middle temporal gyrus, and occipital cortex compared to healthy controls. However, hyperactivities in the superior and middle frontal gyrus, amygdala, and hippocampus were only observed in adult patients, while hyperactivity in the striatum was only found in youth patients compared to controls. In addition, compared with youths, adult patients exhibited significantly greater abnormal activities in insula, middle frontal gyrus, and hippocampus, and significantly lower abnormal activities in middle temporal gyrus, middle occipital gyrus, lingual gyrus, and striatum. CONCLUSIONS The common alterations confirmed the negative processing bias in major depressive disorder. Both adult and youth patients were suggested to have disturbed emotional perception, appraisal, and reactivity. However, adult patients might be more subject to the impaired appraisal and reactivity processes, while youth patients were more subject to the impaired perception process. These findings help us understand the progressive pathophysiology of major depressive disorder.
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Affiliation(s)
- Xuqian Li
- Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, 510006, China.,School of Psychology, The University of Queensland, Brisbane, 4067, Australia
| | - Junjing Wang
- Department of Applied Psychology, Guangdong University of Foreign Studies, Guangzhou, 510006, China.
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17
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Wang J, Liu P, Zhang A, Yang C, Liu S, Wang J, Xu Y, Sun N. Specific Gray Matter Volume Changes of the Brain in Unipolar and Bipolar Depression. Front Hum Neurosci 2021; 14:592419. [PMID: 33505257 PMCID: PMC7829967 DOI: 10.3389/fnhum.2020.592419] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 12/08/2020] [Indexed: 01/10/2023] Open
Abstract
To identify the common and specific structural basis of bipolar depression (BD) and unipolar depression (UD) is crucial for clinical diagnosis. In this study, a total of 85 participants, including 22 BD patients, 36 UD patients, and 27 healthy controls, were enrolled. A voxel-based morphology method was used to identify the common and specific changes of the gray matter volume (GMV) to determine the structural basis. Significant differences in GMV were found among the three groups. Compared with healthy controls, UD patients showed decreased GMV in the orbital part of the left inferior frontal gyrus, whereas BD patients showed decreased GMV in the orbital part of the left middle frontal gyrus. Compared with BD, UD patients have increased GMV in the left supramarginal gyrus and middle temporal gyrus. Our results revealed different structural changes in UD and BD patients suggesting BD and UD have different neurophysiological underpinnings. Our study contributes toward the biological determination of morphometric changes, which could help to discriminate between UD and BD.
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Affiliation(s)
- Junyan Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Jizhi Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Mental Health, Shanxi Medical University, Taiyuan, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Mental Health, Shanxi Medical University, Taiyuan, China
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18
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Yang T, Shen B, Wu A, Tang X, Chen W, Zhang Z, Chen B, Guo Z, Liu X. Abnormal Functional Connectivity of the Amygdala in Mild Cognitive Impairment Patients With Depression Symptoms Revealed by Resting-State fMRI. Front Psychiatry 2021; 12:533428. [PMID: 34335316 PMCID: PMC8319717 DOI: 10.3389/fpsyt.2021.533428] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 05/31/2021] [Indexed: 11/28/2022] Open
Abstract
Convergent evidence indicates that individuals with symptoms of depression exhibit altered functional connectivity (FC) of the amygdala, which is a key brain region in processing emotions. At present, the characteristics of amygdala functional circuits in patients with mild cognitive impairment (MCI) with and without depression are not clear. The current study examined the features of amygdala FC in patients with MCI with depression symptoms (D-MCI) using resting-state functional magnetic resonance imaging. We acquired resting-state functional magnetic resonance imaging data from 16 patients with D-MCI, 18 patients with MCI with no depression (nD-MCI), and 20 healthy controls (HCs) using a 3T scanner and compared the strength of amygdala FC between the three groups. Patients with D-MCI exhibited significant FC differences in the amygdala-medial prefrontal cortex and amygdala-sensorimotor networks. These results suggest that the dysfunction of the amygdala-medial prefrontal cortex network and the amygdala-sensorimotor network might be involved in the neural mechanism underlying depression in MCI.
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Affiliation(s)
- Ting Yang
- The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Bangli Shen
- The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Aiqin Wu
- The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Xinglu Tang
- The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | | | - Bo Chen
- Tongde Hospital of Zhejiang, Hangzhou, China
| | | | - Xiaozheng Liu
- The Second Affiliated Hospital and Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
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19
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Shan X, Qiu Y, Pan P, Teng Z, Li S, Tang H, Xiang H, Wu C, Tan Y, Chen J, Guo W, Wang B, Wu H. Disrupted Regional Homogeneity in Drug-Naive Patients With Bipolar Disorder. Front Psychiatry 2020; 11:825. [PMID: 32922322 PMCID: PMC7456987 DOI: 10.3389/fpsyt.2020.00825] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 07/30/2020] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE Studies on alterations in the regional neural activity in the brain of patients with bipolar disorder (BD) have provided conflicting results because of different medications used and study designs. A low bone mineral density (BMD) is also observed in patients with BD. This study aimed to further explore regional neural activities in unmedicated patients with BD and their association with BMD. METHODS In this study, 40 patients with BD and 42 healthy controls were scanned through resting-state functional magnetic resonance imaging (fMRI). Imaging data were analyzed with regional homogeneity (ReHo) and pattern classification. Pearson's correlation analyses were performed to explore the correlations between abnormal ReHo and BMD. RESULTS A significant increase in ReHo values in the left inferior frontal gyrus (IFG)/temporal pole, left cerebellum vermis I/vermis II/parahippocampal gyrus/brainstem, and right superior temporal gyrus (STG) and a decrease in ReHo in the occipital gyrus (OG; left middle OG/superior OG/bilateral cuneus) were found in the patients with BD (p < 0.05) compared with those in the healthy controls. No significant correlation was observed between the abnormal ReHo values in any of the brain regions of the patients with BMD.Support vector machine (SVM) analyses revealed that the ReHo values in the right STG for distinguishing patients from healthy controls showed an accuracy of 91.89%, a sensitivity of 75.68%, and a specificity of 83.78%. The ReHo values in the left cerebellum vermis I/vermis II/parahippocampal gyrus/brainstem indicated an accuracy of 78.38%, a sensitivity of 75.68%, and a specificity of 81.08%. CONCLUSION This study further confirms the abnormal brain activities in extensive regions, and these brain regions are primarily located in the fronto-temporal-occipital circuit and the cerebellum vermis of patients with BD. The regional neural activity in the right STG and the left cerebellum vermis I/vermis II/parahippocampal gyrus/brainstem may serve as potential imaging markers to distinguish patients with BD from healthy controls.
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Affiliation(s)
- Xiaoxiao Shan
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yan Qiu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Pan Pan
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Ziwei Teng
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Sujuan Li
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Hui Tang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Hui Xiang
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Chujun Wu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Yuxi Tan
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Jindong Chen
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
| | - Wenbin Guo
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
- Department of Psychiatry, The Third People’s Hospital of Foshan, Foshan, China
| | - Bolun Wang
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Haishan Wu
- National Clinical Research Center for Mental Disorders, and Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, China
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20
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Matsubara T, Kusano K, Tashiro T, Ukai K, Uehara K. Deep Generative Model of Individual Variability in fMRI Images of Psychiatric Patients. IEEE Trans Biomed Eng 2020; 68:592-605. [PMID: 32746057 DOI: 10.1109/tbme.2020.3008707] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Neuroimaging techniques, such as the resting-state functional magnetic resonance imaging (fMRI), have been investigated to find objective biomarkers of neuro-logical and psychiatric disorders. Objective biomarkers potentially provide a refined diagnosis and quantitative measurements of the effects of treatment. However, fMRI images are sensitive to individual variability, such as functional topography and personal attributes. Suppressing the irrelevant individual variability is crucial for finding objective biomarkers for multiple subjects. Herein, we propose a structured generative model based on deep learning (i.e., a deep generative model) that considers such individual variability. The proposed model builds a joint distribution of (preprocessed) fMRI images, state (with or without a disorder), and individual variability. It can thereby discriminate individual variability from the subject's state. Experimental results demonstrate that the proposed model can diagnose unknown subjects with greater accuracy than conventional approaches. Moreover, the diagnosis is fairer to gender and state, because the proposed model extracts subject attributes (age, gender, and scan site) in an unsupervised manner.
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21
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Breukelaar IA, Erlinger M, Harris A, Boyce P, Hazell P, Grieve SM, Antees C, Foster S, Gomes L, Williams LM, Malhi GS, Korgaonkar MS. Investigating the neural basis of cognitive control dysfunction in mood disorders. Bipolar Disord 2020; 22:286-295. [PMID: 31604366 DOI: 10.1111/bdi.12844] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVES Dysfunction of cognitive control is a feature of both bipolar disorder (BP) and major depression (MDD) and persists through to remission. However, it is unknown whether these disorders are characterized by common or distinct disruptions of cognitive control function and its neural basis. We investigated this gap in knowledge in asymptomatic BP and MDD participants, interpreted within a framework of normative function. METHODS Participants underwent fMRI scans engaging cognitive control through a working memory task and completed a cognitive battery evaluating performance across multiple subdomains of cognitive control, including attention, impulsivity, processing speed, executive function, and memory. Analysis was performed in two stages: (i) cognitive control-related brain activation and deactivation were correlated with cognitive control performance in 115 healthy controls (HCs), then, (ii) significantly correlated regions from (i) were compared between 25 asymptomatic BP, 25 remitted MDD, and with 25 different HCs, matched for age and gender. RESULTS Impulsivity and executive function performance were significantly worse in BP compared to both MDD and HCs. Both BP and MDD had significantly poorer memory performance compared to HCs. Greater deactivation of the medial prefrontal cortex (MPFC) during the fMRI task was associated with better executive function in healthy controls. Significantly less deactivation in this region was present in both BP and MDD compared to HCs. CONCLUSIONS Failure to deactivate the MPFC, a key region of the default mode network, during working memory processing is a shared neural feature present in both bipolar and major depression and could be a source of common cognitive dysfunction.
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Affiliation(s)
- Isabella A Breukelaar
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia
| | - May Erlinger
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia
| | - Anthony Harris
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia.,Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Philip Boyce
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Philip Hazell
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Stuart M Grieve
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia.,Sydney Translational Imaging Laboratory, Heart Research Institute, Charles Perkins Centre and Sydney Medical School, University of Sydney, Camperdown, NSW, Australia.,Department of Radiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Cassandra Antees
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia
| | - Sheryl Foster
- Department of Radiology, Westmead Hospital, Westmead, NSW, Australia.,The Discipline of Medical Radiation Sciences, Faculty of Health Science, The University of Sydney, Lidcombe, NSW, Australia
| | - Lavier Gomes
- Department of Radiology, Westmead Hospital, Westmead, NSW, Australia
| | - Leanne M Williams
- Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.,Palo Alto VA, MIRECC, Palo Alto, CA, USA
| | - Gin S Malhi
- Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia.,CADE Clinic, Department of Psychiatry, Royal North Shore Hospital, Saint Leonards, NSW, Australia
| | - Mayuresh S Korgaonkar
- Brain Dynamics Centre, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW, Australia.,Discipline of Psychiatry, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
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22
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Sepede G, Chiacchiaretta P, Gambi F, Di Iorio G, De Berardis D, Ferretti A, Perrucci MG, Di Giannantonio M. Bipolar disorder with and without a history of psychotic features: fMRI correlates of sustained attention. Prog Neuropsychopharmacol Biol Psychiatry 2020; 98:109817. [PMID: 31756418 DOI: 10.1016/j.pnpbp.2019.109817] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 11/08/2019] [Accepted: 11/09/2019] [Indexed: 01/10/2023]
Affiliation(s)
- Gianna Sepede
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio", Chieti, Italy.
| | - Piero Chiacchiaretta
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio", Chieti, Italy; ITAB - Institute for Advanced Biomedical Technologies, University "G. d'Annunzio", Chieti, Italy
| | - Francesco Gambi
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio", Chieti, Italy
| | | | | | - Antonio Ferretti
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio", Chieti, Italy; ITAB - Institute for Advanced Biomedical Technologies, University "G. d'Annunzio", Chieti, Italy
| | - Mauro Gianni Perrucci
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio", Chieti, Italy; ITAB - Institute for Advanced Biomedical Technologies, University "G. d'Annunzio", Chieti, Italy
| | - Massimo Di Giannantonio
- Department of Neuroscience, Imaging, and Clinical Sciences, University "G. d'Annunzio", Chieti, Italy; Department of Mental Health - Chieti, National Health Trust, Italy
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23
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Young JW, Geyer MA, Halberstadt AL, van Enkhuizen J, Minassian A, Khan A, Perry W, Eyler LT. Convergent neural substrates of inattention in bipolar disorder patients and dopamine transporter-deficient mice using the 5-choice CPT. Bipolar Disord 2020; 22:46-58. [PMID: 31025493 PMCID: PMC6815232 DOI: 10.1111/bdi.12786] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVES Bipolar disorder (BD) is a debilitating psychiatric illness affecting 2%-5% of the population. Although mania is the cardinal feature of BD, inattention and related cognitive dysfunction are observed across all stages. Since cognitive dysfunction confers poor functional outcome in patients, understanding the relevant neural mechanisms remains key to developing novel-targeted therapeutics. METHODS The 5-choice continuous performance test (5C-CPT) is a mouse and fMRI-compatible human attentional task, requiring responding to target stimuli while inhibiting responding to nontarget stimuli, as in clinical CPTs. This task was used to delineate systems-level neural deficits in BD contributing to inattentive performance in human subjects with BD as well as mouse models with either parietal cortex (PC) lesions or reduced dopamine transporter (DAT) expression. RESULTS Mania BD participants exhibited severe 5C-CPT impairment. Euthymic BD patients exhibited modestly impaired 5C-CPT. High impulsivity BD subjects exhibited reduced PC activation during target and nontarget responding compared with healthy participants. In mice, bilateral PC lesions impaired both target and nontarget responding. In the DAT knockdown mouse model of BD mania, knockdown mice exhibited severely impaired 5C-CPT performance versus wildtype littermates. CONCLUSIONS These data support the role of the PC in inattention in BD-specifically regarding identifying the appropriate response to target vs nontarget stimuli. Moreover, the findings indicate that severely reduced DAT function/hyperdopaminergia recreates the attentional deficits observed in BD mania patients. Determining the contribution of DAT in the PC to attention may provide a future target for treatment development.
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Affiliation(s)
- Jared W. Young
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA
| | - Mark A. Geyer
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA
| | - Adam L. Halberstadt
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804
| | - Jordy van Enkhuizen
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804
- Division of Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Universiteitsweg 99, 3584 CG Utrecht, The Netherlands
| | - Arpi Minassian
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804
| | - Asma Khan
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804
| | - William Perry
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804
| | - Lisa T. Eyler
- Department of Psychiatry, University of California San Diego, 9500 Gilman Drive MC 0804, La Jolla, CA 92093-0804
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA
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24
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Jiang X, Fu S, Yin Z, Kang J, Wang X, Zhou Y, Wei S, Wu F, Kong L, Wang F, Tang Y. Common and distinct neural activities in frontoparietal network in first-episode bipolar disorder and major depressive disorder: Preliminary findings from a follow-up resting state fMRI study. J Affect Disord 2020; 260:653-659. [PMID: 31542559 DOI: 10.1016/j.jad.2019.09.063] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 09/05/2019] [Accepted: 09/11/2019] [Indexed: 01/28/2023]
Abstract
BACKGROUND It is difficult to distinguish bipolar disorder (BD) from major depressive disorder (MDD), especially with the initial depressive episode. In this study, we compared neural activities of BD and MDD patients during the first-episode (FE) to investigate common and distinct neural activities and further explore predictive indicators in the two diseases. METHODS FE-MDD patients were performed resting state functional magnetic resonance imaging and followed up after scanning. After follow-up, FE-MDD patients were regrouped into FE-BD and FE-MDD patients. The study included 24 FE-BD patients, 28 FE-MDD patients, and 30 age- and sex-matched healthy controls (HC) to investigate neural activities with regional homogeneity (ReHo) analysis among the 3 groups. RESULTS Compared to HC, FE-BD patients displayed significantly higher ReHo values in the superior frontal gyrus, the medial superior frontal gyrus within right-side cerebral hemisphere than FE-MDD patients and HC. Compared to HC, FE-BD and FE-MDD patients displayed significant decreased ReHo values in the paracentral lobule, the precuneus and the median cingulate and paracingulate gyrus within bilateral cerebral hemisphere, and the postcentral gyrus and the precentral gyrus within the right-side. FE-BD displayed significant lower ReHo values than FE-MDD patients in these regions. LIMITATIONS The potential effects of medicine, age, course of disease and handedness on results could not be ignored. CONCLUSIONS Abnormal neural activities of frontoparietal network may provide common and distinct markers to affective disorders and scientific basis for further prediction researches of affective disorders.
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Affiliation(s)
- Xiaowei Jiang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Shinan Fu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Zhiyang Yin
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Jiahui Kang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Xinrui Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Yifang Zhou
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Shengnan Wei
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Feng Wu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China
| | - Fei Wang
- Brain Function Research Section, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China.
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China; Department of Geriatric Medicine, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, 110001, China.
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25
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Qiu S, Chen F, Chen G, Jia Y, Gong J, Luo X, Zhong S, Zhao L, Lai S, Qi Z, Huang L, Wang Y. Abnormal resting-state regional homogeneity in unmedicated bipolar II disorder. J Affect Disord 2019; 256:604-610. [PMID: 31299441 DOI: 10.1016/j.jad.2019.06.037] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 05/06/2019] [Accepted: 06/29/2019] [Indexed: 02/06/2023]
Abstract
BACKGROUND Previous studies demonstrated that patients with bipolar disorder (BD) exhibited abnormal neural activity in multiple brain regions. However, no study has been conducted to identify regional intrinsic neural activity changes in BD II. In the present study, we used the regional homogeneity (ReHo) approach to explore the regional abnormal neural activity in bipolar II disorder METHODS: One hundred unmedicated patients with BD II depression and 100 healthy controls (HC) underwent the resting-state functional magnetic resonance imaging. The ReHo values of each voxel was calculated in the whole brain. The two-sample t-test and threshold-free cluster enhancement (TFCE) correction were applied for the ReHo analysis. RESULTS Compared with the HC group, the BD II group showed significantly decreased ReHo in the left orbitofrontal cortex, and increased ReHo in the right precentral gyrus, right supplementary motor area and bilateral middle occipital gyrus (P < .05, TFCE corrected). LIMITATIONS This study lacks the evidence of brain structural changes, and used the cross-sectional design which did not explore local alterations of remitted and manic patients. CONCLUSION Our findings revealed abnormal local intrinsic neural activity during resting state which may contribute to the pathophysiology of bipolar II disorder. Particularly the disrupted balance between the prefrontal cortex and primary sensorimotor regions provides evidence for the unique pathological mechanism underlying BD.
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Affiliation(s)
- Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Jiaying Gong
- Department of Radiology, Six Affiliated Hospital of Sun Yat-sen University, Guangzhou 510655, China
| | - Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Lianping Zhao
- Department of Radiology, Gansu Provincial Hospital, Gansu 730000, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou 510630, China.
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26
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Mitelman SA. Transdiagnostic neuroimaging in psychiatry: A review. Psychiatry Res 2019; 277:23-38. [PMID: 30639090 DOI: 10.1016/j.psychres.2019.01.026] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 01/07/2019] [Accepted: 01/07/2019] [Indexed: 01/10/2023]
Abstract
Transdiagnostic approach has a long history in neuroimaging, predating its recent ascendance as a paradigm for new psychiatric nosology. Various psychiatric disorders have been compared for commonalities and differences in neuroanatomical features and activation patterns, with different aims and rationales. This review covers both structural and functional neuroimaging publications with direct comparison of different psychiatric disorders, including schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorder, obsessive-compulsive disorder, attention-deficit/hyperactivity disorder, conduct disorder, anorexia nervosa, and bulimia nervosa. Major findings are systematically presented along with specific rationales for each comparison.
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Affiliation(s)
- Serge A Mitelman
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY 10029, USA; Department of Psychiatry, Division of Child and Adolescent Psychiatry, Elmhurst Hospital Center, 79-01 Broadway, Elmhurst, NY 11373, USA.
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27
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Lee MS, Anumagalla P, Talluri P, Pavuluri MN. Attentional engagement increases inferior frontal gyrus activity and mutes limbic activity in pediatric bipolar disorder: Meta-analyses of fMRI studies. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:14-19. [PMID: 29782956 DOI: 10.1016/j.pnpbp.2018.05.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Revised: 04/25/2018] [Accepted: 05/16/2018] [Indexed: 12/01/2022]
Abstract
OBJECTIVES Attention deficit has been shown to exist in adult and pediatric bipolar disorder across the life span. Given that emotion dysregulation is central to bipolar disorder, this study hypothesizes that emotional circuitry regions are altered along with anomalies in the attentional systems during cognitive deployment in bipolar disorder. METHODS An activation likelihood estimation meta-analysis of attentional activities using GingerALE software was completed for adult and pediatric bipolar disorder populations in all published studies till December 2017. The meta-analysis of all fMRI studies included a total of ten pediatric studies (comprised of pediatric bipolar disorder (PBD) and typically developing (TD) groups) and nine adult patient studies (comprised of adult bipolar disorder (ABD) and healthy control (HC) groups). RESULTS While engaged in attentional tasks, increased activation was seen in inferior frontal gyrus with decreased activation in limbic regions in subjects with PBD, relative to TD. Differential patterns of underactivity were also noted in the dorsal attentional system i.e., frontostriatal circuit (dorsolateral prefrontal cortex, anterior cingulate cortex, right lentiform nucleus and right globus pallidus) in PBD patients relative to the TD. However, we did not see any significant differences between the adult groups i.e., ABD vs. HC. CONCLUSIONS In PBD, deploying attentional system potentially improves the fronto-limbic affective circuitry function, despite impaired dorsal attentional system i.e., fronto-striatal circuitry. In contrast, these neural correlates underlying attentional engagement appeared to be not significant in adult BD. LIMITATIONS We examined the PBD vs. TD and the ABD vs. HC separately instead of four-way contrast (dual meta-analytic study). Also, attentional tasks were not unidimensional and tend to capture selective and sustained attention along with response inhibition, thereby recruiting multiple brain circuits.
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Affiliation(s)
- Moon-Soo Lee
- Pediatric Mood Disorders Program, University of Illinois at Chicago, USA; Divison of Child and Adolescent Psychiatry, Department of Psychiatry, College of Medicine, Korea University, Seoul, Republic of Korea
| | - Purnima Anumagalla
- Pediatric Mood Disorders Program, University of Illinois at Chicago, USA
| | - Prasanth Talluri
- Pediatric Mood Disorders Program, University of Illinois at Chicago, USA
| | - Mani N Pavuluri
- Pediatric Mood Disorders Program, University of Illinois at Chicago, USA; Brain and Wellness Institute, Chicago, USA.
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28
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Differentiating between bipolar and unipolar depression in functional and structural MRI studies. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:20-27. [PMID: 29601896 DOI: 10.1016/j.pnpbp.2018.03.022] [Citation(s) in RCA: 125] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/25/2018] [Accepted: 03/25/2018] [Indexed: 01/10/2023]
Abstract
Distinguishing depression in bipolar disorder (BD) from unipolar depression (UD) solely based on clinical clues is difficult, which has led to the exploration of promising neural markers in neuroimaging measures for discriminating between BD depression and UD. In this article, we review structural and functional magnetic resonance imaging (MRI) studies that directly compare UD and BD depression based on neuroimaging modalities including functional MRI studies on regional brain activation or functional connectivity, structural MRI on gray or white matter morphology, and pattern classification analyses using a machine learning approach. Numerous studies have reported distinct functional and structural alterations in emotion- or reward-processing neural circuits between BD depression and UD. Different activation patterns in neural networks including the amygdala, anterior cingulate cortex (ACC), prefrontal cortex (PFC), and striatum during emotion-, reward-, or cognition-related tasks have been reported between BD and UD. A stronger functional connectivity pattern in BD was pronounced in default mode and in frontoparietal networks and brain regions including the PFC, ACC, parietal and temporal regions, and thalamus compared to UD. Gray matter volume differences in the ACC, hippocampus, amygdala, and dorsolateral prefrontal cortex (DLPFC) have been reported between BD and UD, along with a thinner DLPFC in BD compared to UD. BD showed reduced integrity in the anterior part of the corpus callosum and posterior cingulum compared to UD. Several studies performed pattern classification analysis using structural and functional MRI data to distinguish between UD and BD depression using a supervised machine learning approach, which yielded a moderate level of accuracy in classification.
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29
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Chang M, Edmiston EK, Womer FY, Zhou Q, Wei S, Jiang X, Zhou Y, Ye Y, Huang H, Zuo XN, Xu K, Tang Y, Wang F. Spontaneous low-frequency fluctuations in the neural system for emotional perception in major psychiatric disorders: amplitude similarities and differences across frequency bands. J Psychiatry Neurosci 2019; 44:132-141. [PMID: 30810024 PMCID: PMC6397038 DOI: 10.1503/jpn.170226] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Growing evidence indicates both shared and distinct features of emotional perception in schizophrenia, bipolar disorder and major depressive disorder. In these disorders, alterations in spontaneous low-frequency fluctuations have been reported in the neural system for emotional perception, but the similarities and differences in the amplitude of low-frequency fluctuation (ALFF) across the 3 disorders are unknown. METHODS We compared ALFF and its signal balance in the neural system for emotional perception at 2 frequency bands (slow-5 and slow-4) in 119 participants with schizophrenia, 100 with bipolar disorder, 123 with major depressive disorder and 183 healthy controls. We performed exploratory Pearson partial correlation analyses to determine the relationship between ALFF signal balance and clinical variables. RESULTS We observed commonalities in ALFF change patterns across the 3 disorders for emotional perception neural substrates, such as increased ALFF in the anterior cerebrum (including subcortical, limbic, paralimbic and heteromodal cortical regions) and decreased ALFF in the posterior visual cortices. Schizophrenia, bipolar disorder and major depressive disorder showed significantly decreased ALFF signal balance in the neural system for emotional perception at both slow-5 and slow-4 frequency bands, with the greatest alterations for schizophrenia, followed by bipolar disorder and major depressive disorder. We found a negative correlation between ALFF signal balance and negative/disorganized symptoms in slow-4 across the 3 disorders. LIMITATIONS The relatively broad age range in our sample and the cross-sectional study design may not account for our findings. CONCLUSION The extent of the commonalities we observed further support the concept of core neurobiological disruptions shared among the 3 disorders; ALFF signal balance could be an important neuroimaging marker for the diagnosis and treatment of schizophrenia, bipolar disorder and major depressive disorder.
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Affiliation(s)
- Miao Chang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Elliot K. Edmiston
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Fay Y. Womer
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Qian Zhou
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Shengnan Wei
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Xiaowei Jiang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Yifang Zhou
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Yuting Ye
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Haiyan Huang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Xi-Nian Zuo
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Ke Xu
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Yanqing Tang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
| | - Fei Wang
- From the Department of Radiology, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Jiang, Wang, Wei, Xu); the Department of Psychiatry, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Tang, Q. Zhou, Y. Zhou); the Brain Function Research Section, First Affiliated Hospital of China Medical University, Shenyang, Liaoning, PR China (Chang, Edmiston, Jiang, Tang, Wang, Wei, Xu, Q. Zhou, Y. Zhou); the Department of Psychiatry, Washington University School of Medicine, St. Louis, MO (Womer); the Division of Biostatistics, University of California, Berkeley, Berkeley, CA (Huang, Ye); the CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China (Zuo); and the Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China (Zuo)
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30
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Marotta G, Delvecchio G, Pigoni A, Mandolini G, Ciappolino V, Oldani L, Madonna D, Grottaroli M, Altamura AC, Brambilla P. The metabolic basis of psychosis in bipolar disorder: A positron emission tomography study. Bipolar Disord 2019; 21:151-158. [PMID: 30506616 DOI: 10.1111/bdi.12710] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVES Psychotic symptoms are a common feature in bipolar disorder (BD), especially during manic phases, and are associated with a more severe course of illness. However, not all bipolar subjects experience psychosis during the course of their illness, and this difference often guides assessment and pharmacological treatment. The aim of the present study is to elucidate, for the first time, the FDG uptake dysfunctions associated with psychosis in BD patients with and without a history of past psychotic symptoms, through a positron emission tomography (PET) approach. METHODS Fifty BD patients with lifetime psychotic symptoms, 40 BD patients without lifetime psychotic symptoms and 27 healthy controls (HC) were recruited and underwent an 18F-FDG-PET session. RESULTS Compared to HC, BD subjects shared common FDG uptake deficits in several brain areas, including insula, inferior temporal gyrus and middle occipital gyrus. Moreover, we found that BD patients with a history of past psychotic symptoms had a unique FDG uptake alteration in the right fusiform gyrus compared to both BD patients without lifetime psychotic symptoms and HC (all P < 0.01, cFWE corrected). CONCLUSIONS Overall, our results suggest that FDG uptake alterations in brain regions involved in emotion regulation are a key feature of BD, regardless the presence of past psychosis. Finally, we demonstrated that the FDG uptake reduction in fusiform gyrus is associated with the presence of past psychotic symptoms in BD, ultimately leading towards the idea that the fusiform gyrus might be considered a putative biomarker of psychosis.
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Affiliation(s)
- Giorgio Marotta
- Department of Nuclear Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Scientific Institute, IRCCS E. Medea, Pordenone, Italy
| | - Alessandro Pigoni
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Gianmario Mandolini
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Valentina Ciappolino
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Lucio Oldani
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Domenico Madonna
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Marika Grottaroli
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Alfredo Carlo Altamura
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.,Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy.,Department of Psychiatry and Behavioural Sciences, UT Houston Medical School, Houston, TX, USA
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31
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Chen MH, Chang WC, Hsu JW, Huang KL, Tu PC, Su TP, Li CT, Lin WC, Bai YM. Correlation of proinflammatory cytokines levels and reduced gray matter volumes between patients with bipolar disorder and unipolar depression. J Affect Disord 2019; 245:8-15. [PMID: 30359810 DOI: 10.1016/j.jad.2018.10.106] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2018] [Revised: 09/18/2018] [Accepted: 10/16/2018] [Indexed: 01/24/2023]
Abstract
BACKGROUND Gray matter volume reduction in specific brain regions, such as the prefrontal cortex, was found in patients with bipolar disorder and those with unipolar depression. However, few studies have directly compared gray matter volumes between bipolar disorder and unipolar depression. In addition, it is unknown whether proinflammatory cytokines play a role in the gray matter volume difference between bipolar disorder and unipolar depression. METHODS Twenty-three patients with bipolar disorder and 23 with unipolar depression in a mildly ill state (Clinical Global Impression-Severity ≤ 3) were enrolled in our study. Each participant underwent structural magnetic resonance imaging and proinflammatory cytokines examination. Voxel-based morphometry was performed to investigate the gray matter volume difference between bipolar disorder and unipolar depression. Correlations of the proinflammatory cytokines and the gray matter volume difference were analyzed. RESULTS Several brain regions, including the orbitofrontal cortex, lingual gyrus, inferior frontal cortex, middle frontal cortex, and planum polare, were significantly smaller in patients with bipolar disorder than in those with unipolar depression. These gray matter volume differences between bipolar disorder and unipolar depression were negatively correlated with soluble IL-6 receptor levels. DISCUSSION Proinflammatory cytokines, especially IL-6, were associated with the gray matter volumes in bipolar disorder and unipolar depression. However, the complicated associations between proinflammatory cytokines, neurocognitive function, and gray matter volumes require further investigation.
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Affiliation(s)
- Mu-Hong Chen
- Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, Taipei 11217, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan.
| | - Wan-Chen Chang
- Department of Medical Research, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Road, Taipei 112 Taiwan
| | - Ju-Wei Hsu
- Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, Taipei 11217, Taiwan
| | - Kai-Lin Huang
- Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, Taipei 11217, Taiwan
| | - Pei-Chi Tu
- Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, Taipei 11217, Taiwan; Department of Medical Research, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Road, Taipei 112 Taiwan; Institute of Philosophy of Mind and Cognition, National Yang-Ming University, Taipei, Taiwan.
| | - Tung-Ping Su
- Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, Taipei 11217, Taiwan; Department of Medical Research, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Road, Taipei 112 Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Cheng Hsin General Hospital, Taipei, Taiwan
| | - Cheng-Ta Li
- Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, Taipei 11217, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Wei-Chen Lin
- Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, Taipei 11217, Taiwan; Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Ya-Mei Bai
- Division of Psychiatry, Faculty of Medicine, National Yang-Ming University, Taipei, Taiwan; Department of Psychiatry, Taipei Veterans General Hospital, No. 201, Shih-Pai Road, Sec. 2, Taipei 11217, Taiwan.
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Teng C, Zhou J, Ma H, Tan Y, Wu X, Guan C, Qiao H, Li J, Zhong Y, Wang C, Zhang N. Abnormal resting state activity of left middle occipital gyrus and its functional connectivity in female patients with major depressive disorder. BMC Psychiatry 2018; 18:370. [PMID: 30477561 PMCID: PMC6258168 DOI: 10.1186/s12888-018-1955-9] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Accepted: 11/16/2018] [Indexed: 02/03/2023] Open
Abstract
BACKGROUND Women are more susceptible to major depressive disorder (MDD). A possible explanation is that women have a trait tendency to engage in a ruminative response style. Depending on cognitive model of depression, attention bias, memory bias and self-referential bias were closely related among depressed patients. Previous studies have explored the neural mechanism of the cognitive biases by using amplitude of low frequency fluctuations (ALFF) or functional connectivity (FC), and few combined these two metrics, especially focusing on female patients. METHODS We assessed 25 female patients diagnosed with MDD and 13 well matched healthy controls (HCs) using Rs-fMRI. Two metrics ALFF and FC based on abnormal ALFF were explored and made comparisons. RESULTS Compared with HCs, female patients with MDD showed that one cluster with significantly decreased ALFF in the left middle occipital gyrus(L-MOG). Furtherly we founded depressed female subjects showed significantly lower FC between the L-MOG seed and left orbitofrontal cortex, and significantly higher FC between the L-MOG seed and left medial prefrontal gyrus and left hippocampus. CONCLUSIONS Our results showed L-MOG may act as a connection, which involved in the processing of cognitive biases of MDD by connected with limbic-cortical regions in resting state. These findings may enhance the understanding of the neurobiological mechanism in female patients with MDD.
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Affiliation(s)
- Changjun Teng
- 0000 0004 1798 8369grid.452645.4Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 People’s Republic of China
| | - Jing Zhou
- Nanjing PuKou Central Hospital, Nanjing, 211800 People’s Republic of China
| | - Hui Ma
- 0000 0004 1798 8369grid.452645.4Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 People’s Republic of China
| | - Yarong Tan
- 0000 0004 1798 8369grid.452645.4Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 People’s Republic of China
| | - Xin Wu
- 0000 0004 1798 8369grid.452645.4Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 People’s Republic of China
| | - Chengbin Guan
- 0000 0004 1798 8369grid.452645.4Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 People’s Republic of China
| | - Huifen Qiao
- 0000 0004 1798 8369grid.452645.4Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 People’s Republic of China
| | - Jijun Li
- 0000 0004 1798 8369grid.452645.4Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 People’s Republic of China
| | - Yuan Zhong
- 0000 0001 0089 5711grid.260474.3School of Psychology, Nanjing Normal University, Nanjing, 210024 People’s Republic of China
| | - Chun Wang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029, People's Republic of China.
| | - Ning Zhang
- 0000 0004 1798 8369grid.452645.4Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, 210029 People’s Republic of China
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33
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Schulze L, Schulze A, Renneberg B, Schmahl C, Niedtfeld I. Neural Correlates of Affective Disturbances: A Comparative Meta-analysis of Negative Affect Processing in Borderline Personality Disorder, Major Depressive Disorder, and Posttraumatic Stress Disorder. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2018; 4:220-232. [PMID: 30581154 DOI: 10.1016/j.bpsc.2018.11.004] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 10/17/2018] [Accepted: 11/09/2018] [Indexed: 02/06/2023]
Abstract
BACKGROUND Borderline personality disorder (BPD), major depressive disorder (MDD), and posttraumatic stress disorder (PTSD) are prominent examples of mental disorders with affective disturbances. Notably, all three disorders share a generally heightened negative affect, which is presumably the result of shared neural abnormalities in affective processing. In this meta-analysis, we aimed to identify transdiagnostic and disorder-specific abnormalities during the processing of negative compared with neutral stimuli. METHODS We synthesized neuroimaging findings of affect processing in BPD, MDD, and PTSD and calculated combined coordinate- and image-based meta-analyses. The analysis comprised 70 distinct study samples with a total of 31 unthresholded statistical parametric maps. Twenty-four studies had a focus on BPD (431 individuals with BPD, 436 healthy control subjects [HCs]), 32 studies on MDD (789 individuals with current MDD, 870 HCs), and 14 studies on PTSD (247 individuals with PTSD, 245 HCs). RESULTS Findings showed limbic hyperactivations in BPD and PTSD compared with limbic activation of HCs. In contrast, patients with MDD showed blunted amygdala activation in comparison with that of HCs. Additionally, the calculation of overlapping brain abnormalities in BPD, MDD, and PTSD highlighted transdiagnostic hyperactivation of the right median cingulate gyri and hypoactivation of the right middle frontal gyrus and the right middle occipital gyrus. Finally, disorder-specific comparisons also illustrate unique abnormalities for each mental disorder. CONCLUSIONS The present results support shared and disorder-specific neural abnormalities in patients with affective disturbances.
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Affiliation(s)
- Lars Schulze
- Department of Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany.
| | - Andreas Schulze
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Babette Renneberg
- Department of Clinical Psychology and Psychotherapy, Freie Universität Berlin, Berlin, Germany
| | - Christian Schmahl
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
| | - Inga Niedtfeld
- Department of Psychosomatic Medicine and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim at Heidelberg University, Mannheim, Germany
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34
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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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35
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Shaffer JJ, Johnson CP, Fiedorowicz JG, Christensen GE, Wemmie JA, Magnotta VA. Impaired sensory processing measured by functional MRI in Bipolar disorder manic and depressed mood states. Brain Imaging Behav 2018; 12:837-847. [PMID: 28674759 PMCID: PMC5752628 DOI: 10.1007/s11682-017-9741-8] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Bipolar disorder is characterized by recurring episodes of depression and mania. Defining differences in brain function during these states is an important goal of bipolar disorder research. However, few imaging studies have directly compared brain activity between bipolar mood states. Herein, we compare functional magnetic resonance imaging (fMRI) responses during a flashing checkerboard stimulus between bipolar participants across mood states (euthymia, depression, and mania) in order to identify functional differences between these states. 40 participants with bipolar I disorder and 33 healthy controls underwent fMRI during the presentation of the stimulus. A total of 23 euthymic-state, 16 manic-state, 15 depressed-state, and 32 healthy control imaging sessions were analyzed in order to compare functional activation during the stimulus between mood states and with healthy controls. A reduced response was identified in the visual cortex in both the depressed and manic groups compared to euthymic and healthy participants. Functional differences between bipolar mood states were also observed in the cerebellum, thalamus, striatum, and hippocampus. Functional differences between mood states occurred in several brain regions involved in visual and other sensory processing. These differences suggest that altered visual processing may be a feature of mood states in bipolar disorder. The key limitations of this study are modest mood-state group size and the limited temporal resolution of fMRI which prevents the segregation of primary visual activity from regulatory feedback mechanisms.
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Affiliation(s)
- Joseph J Shaffer
- Department of Radiology, University of Iowa, Iowa City, IA, USA.
- , PBDB L420, 169 Newton Rd., Iowa City, IA, 52242, USA.
| | - Casey P Johnson
- Department of Radiology, University of Iowa, Iowa City, IA, USA
| | - Jess G Fiedorowicz
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Epidemiology, University of Iowa, Iowa City, IA, USA
- Department of Internal Medicine, University of Iowa, Iowa City, IA, USA
- Abboud Cardiovascular Research Center, University of Iowa, Iowa City, IA, USA
| | - Gary E Christensen
- Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA, USA
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John A Wemmie
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Veterans Affairs Medical Center, Iowa City, IA, USA
- Department of Molecular Physiology and Biophysics, University of Iowa, Iowa City, IA, USA
- Department of Neurosurgery, University of Iowa, Iowa City, IA, USA
- Pappajohn Biomedical Institute, University of Iowa, Iowa City, IA, USA
| | - Vincent A Magnotta
- Department of Radiology, University of Iowa, Iowa City, IA, USA
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA
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36
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Prefrontal activation during a working memory task differs between patients with unipolar and bipolar depression: A preliminary exploratory study. J Affect Disord 2018; 225:64-70. [PMID: 28797920 DOI: 10.1016/j.jad.2017.07.031] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Revised: 07/12/2017] [Accepted: 07/17/2017] [Indexed: 01/10/2023]
Abstract
BACKGROUND To identify bipolar disorder during the initial stages of a depressive episode has always been a great clinical challenge. Patterns of functional brain activity may underlie the differences in the neural mechanisms of bipolar depression (BD) and unipolar depression (UD). This study aimed to investigate the differences in neural activity between BD and UD patients during executive task. METHODS We performed a 52-channel near-infrared spectroscopy (NIRS) scan in 39 patients with BD, 35 patients with UD, and 36 healthy controls (HCs). The relative concentration changes in oxygenated hemoglobin ([oxy-Hb]) and deoxygenated hemoglobin ([deoxy-Hb]) during a 1-back working memory task were measured for each channel. Clinical characteristics including current mood were evaluated within one week prior to NIRS examination. RESULTS Compared to HCs, BD (CH34: Z = -2.354, P = 0.019) and UD patients (CH18: Z = -2.358, P = 0.018; CH30: Z = -2.174, P = 0.030; CH34: Z = -1.990, P = 0.047) showed reduced activation of [oxy-Hb] in the inferior prefrontal region. Compared to patients with UD, patients with BD showed less decreased [oxy-Hb] changes in the left frontopolar cortex (FPC) (CH18: Z = -2.366, P = 0.018), left pars opercularis and pars triangularis (POPE/PTRI) regions (Broca's area) (CH30: Z = -2.333, P = 0.020). No correlation existed between clinical characteristics and NIRS measurements. LIMITATIONS The effect of medication could not be excluded, and behavioral data was not systematically collected. CONCLUSION The results from this preliminary exploratory study suggest distinct prefrontal activation patterns underlie BD and UD, especially in the left frontopolar region and Broca's area. The NIRS-based prefrontal activation measurement may serve as a potential marker to aid in differentiating bipolar from unipolar depression.
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Fu L, Xiang D, Xiao J, Yao L, Wang Y, Xiao L, Wang H, Wang G, Liu Z. Reduced Prefrontal Activation During the Tower of London and Verbal Fluency Task in Patients With Bipolar Depression: A Multi-Channel NIRS Study. Front Psychiatry 2018; 9:214. [PMID: 29892235 PMCID: PMC5985469 DOI: 10.3389/fpsyt.2018.00214] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 05/07/2018] [Indexed: 02/06/2023] Open
Abstract
Background: The Tower of London (TOL) task is one of the most commonly used tests for evaluating executive functions, and can indicate planning and problem-solving abilities. The aim of this study was to evaluate hemodynamic changes between the task period and rest period in patients with bipolar depression during the TOL task and the verbal fluency task (VFT) using near-infrared spectroscopy (NIRS). Methods: Forty-three patients with bipolar depression and 32 healthy controls (HCs) matched for sex, age, handedness, and years of education were enrolled in this study. All participants were aged between 16 and 50. All patients in our study were taking medications such as antidepressants, antipsychotics and mood stabilizers at the time of measurement. Changes in oxygenated hemoglobin (oxy-Hb) levels in frontal areas during the TOL task and VFT were evaluated using a 41-channel NIRS system. Results: During the TOL task, the patients with bipolar depression exhibited significantly smaller changes in the bilateral dorsal-lateral prefrontal cortex (DLPFC) than the HCs. During the VFT task, the patients with bipolar depression exhibited significantly smaller changes in the right ventrolateral prefrontal cortex (VLPFC), the right DLPFC and both the right and left prefrontal cortex (PFC) than the HCs. Limitations: Our sample size was small, and the effects of medication cannot be excluded. Conclusions: These results indicate that planning and problem solving dysfunction is related to the impairment of the prefrontal cortex in patients with bipolar depression, and NIRS can be used to assess planning and problem solving abilities, which are essential to daily life in patients with bipolar disorder.
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Affiliation(s)
- Linyan Fu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Dan Xiang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Jiawei Xiao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lihua Yao
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ying Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ling Xiao
- Institute of Neuropsychiatry, Renmin Hospital, Wuhan University, Wuhan, China
| | - Huiling Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.,Institute of Neuropsychiatry, Renmin Hospital, Wuhan University, Wuhan, China
| | - Zhongchun Liu
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.,Institute of Neuropsychiatry, Renmin Hospital, Wuhan University, Wuhan, China
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Luo X, Chen G, Jia Y, Gong J, Qiu S, Zhong S, Zhao L, Chen F, Lai S, Qi Z, Huang L, Wang Y. Disrupted Cerebellar Connectivity With the Central Executive Network and the Default-Mode Network in Unmedicated Bipolar II Disorder. Front Psychiatry 2018; 9:705. [PMID: 30618876 PMCID: PMC6305495 DOI: 10.3389/fpsyt.2018.00705] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Accepted: 12/03/2018] [Indexed: 11/25/2022] Open
Abstract
Objective: Bipolar disorder (BD) is a common psychiatric disease. Although structural and functional abnormalities of the cerebellum in BD patients have been reported by recent neuroimaging studies, the cerebellar-cerebral functional connectivity (FC) has not yet been examined. The present study aims to investigate the FC between the cerebellum and cerebrum, particularly the central executive network (CEN) and the default-mode network (DMN) in bipolar II disorder (BD II). Methods: Ninety-four patients with unmedicated BD II depression and 100 healthy controls (HCs) underwent the resting-state functional magnetic resonance imaging. Seed-based connectivity analyses were performed using cerebellar seeds previously identified as being involved in the CEN (bilateral Crus Ia) and DMN (bilateral Crus Ib). Results: Compared with HCs, BD II depression patients appeared decreased FC in the right Crus Ia-left dorsal lateral prefrontal cortex (dlPFC) and -left anterior cingulate cortex (ACC), the right Crus Ib-left medial prefrontal cortex (mPFC), -left middle temporal gyrus (MTG), and -left inferior temporal gyrus (ITG). No altered FC between the left Crus Ia or Crus Ib and the cerebral regions was found. Conclusions: Patients with BD II depression showed disrupted FC between the cerebellum and the CEN (mainly in the left dlPFC and ACC) and DMN (mainly in the left mPFC and temporal lobe), suggesting the significant role of the cerebellum-CEN and -DMN connectivity in the pathogenesis of BD.
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Affiliation(s)
- Xiaomei Luo
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Guanmao Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - JiaYing Gong
- Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China.,The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Shaojuan Qiu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Lianping Zhao
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Department of Radiology, Gansu Provincial Hospital, Lanzhou, China
| | - Feng Chen
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhangzhang Qi
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Li Huang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, China.,Institute of Molecular and Functional Imaging, Jinan University, Guangzhou, China
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Qiu M, Zhang H, Mellor D, Shi J, Wu C, Huang Y, Zhang J, Shen T, Peng D. Aberrant Neural Activity in Patients With Bipolar Depressive Disorder Distinguishing to the Unipolar Depressive Disorder: A Resting-State Functional Magnetic Resonance Imaging Study. Front Psychiatry 2018; 9:238. [PMID: 29922189 PMCID: PMC5996277 DOI: 10.3389/fpsyt.2018.00238] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Accepted: 05/15/2018] [Indexed: 01/21/2023] Open
Abstract
This study aims to explore the intrinsic patterns of spontaneous activity of bipolar depression (BD) patients by analyzing the fractional amplitude of low frequency fluctuation (fALFF) that help differentiate BD from unipolar depressive disorder(UD). Twenty eight patients with BD, 47 patients with UD and 29 healthy controls were enrolled to receive the resting-state functional magnetic resonance imaging (rs-fMRI) scans. The group differences of fALFF values were calculated among three groups. In addition, the correlations between the clinical variables and mfALFF values were estimated. The brain regions with activation discrepancies among three groups are located in precuneus, the left middle temporal gyrus (MTG) and left inferior parietal lobe (IPL) and lingual gyrus. Compared with HC group, BD group shows decreased fALFF in precuneus, the left IPL and increased fALFF in lingual gyrus remarkably; UD group shows significantly decreased fALFF in precuneus, the left MTG and the left IPL. On the contrast of patients with UD, patients with BD have significantly increased fALFF value in the left precuneus, the left MGT and lingual gyrus. Furthermore, a negative correlation is found between the mfALFF values in precuneus and the scores of cognitive impairment factor in the UD group. The similar pattern of intrinsic activity in PCC suggests depressive state-dependent change. The aberrant patterns of intrinsic activity in precuneus, the IPL and lingual gyrus might be provide quantitative nodes that help to conduct further study for better distinguishing between BD and UD.
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Affiliation(s)
- Meihui Qiu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huifeng Zhang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - David Mellor
- School of Psychology, Faculty of Health, Deakin University, Melbourne, VIC, Australia
| | - Jun Shi
- Institute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Chuangxin Wu
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yueqi Huang
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jianye Zhang
- Department of Medical Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ting Shen
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Daihui Peng
- Division of Mood Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Jiang X, Dai X, Kale Edmiston E, Zhou Q, Xu K, Zhou Y, Wu F, Kong L, Wei S, Zhou Y, Chang M, Geng H, Wang D, Wang Y, Cui W, Wang F, Tang Y. Alteration of cortico-limbic-striatal neural system in major depressive disorder and bipolar disorder. J Affect Disord 2017; 221:297-303. [PMID: 28668591 DOI: 10.1016/j.jad.2017.05.025] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 04/17/2017] [Accepted: 05/09/2017] [Indexed: 01/10/2023]
Abstract
BACKGROUND It is often difficult to differentiate major depressive disorder (MDD) and bipolar disorder (BD) merely according to clinical symptoms. Similarities and differences in neural activity between the two disorders remain unclear. In current study, we use amplitude of low-frequency fluctuations (ALFF) to compare neural activation changes between MDD and BD patients. METHODS One hundred and eighty-three adolescents and young adults (57 MDD, 46 BD and 80 healthy controls, HC) were scanned during resting state. The ALFF for each participant was calculated, and were then compared among all groups using voxel-based analysis. RESULTS There was a significant effect of diagnosis in the core regions of cortico-limbic-striatal neural system. Furthermore, MDD showed left-sided abnormal neural activity while BD showed a bilateral abnormality in this neural system. LIMITATIONS This study was underpowered to consider medications, mood states and neural developmental effects on the neural activation. CONCLUSIONS Differences in lateralization of ALFF alterations were found. Alterations predominated in the left hemisphere for MDD, whereas alterations were bilateral for BD.
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Affiliation(s)
- Xiaowei Jiang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Xu Dai
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Elliot Kale Edmiston
- Department of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Qian Zhou
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Ke Xu
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yifang Zhou
- Department of Gerontology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Feng Wu
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Shengnan Wei
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yuning Zhou
- Department of Gerontology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Miao Chang
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Haiyang Geng
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China
| | - Dahai Wang
- Shenyang Mental Health Center, Shenyang, Liaoning, China
| | - Ye Wang
- Shenyang Mental Health Center, Shenyang, Liaoning, China
| | - Wenhui Cui
- Shenyang Mental Health Center, Shenyang, Liaoning, China
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China; Department of Gerontology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, China.
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Kazour F, Richa S, Desmidt T, Lemaire M, Atanasova B, El Hage W. Olfactory and gustatory functions in bipolar disorders: A systematic review. Neurosci Biobehav Rev 2017; 80:69-79. [DOI: 10.1016/j.neubiorev.2017.05.009] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Accepted: 05/09/2017] [Indexed: 01/01/2023]
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Identifying current and remitted major depressive disorder with the Hurst exponent: a comparative study on two automated anatomical labeling atlases. Oncotarget 2017; 8:90452-90464. [PMID: 29163844 PMCID: PMC5685765 DOI: 10.18632/oncotarget.19860] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2017] [Accepted: 07/17/2017] [Indexed: 11/25/2022] Open
Abstract
Major depressive disorder (MDD) is a leading world-wide psychiatric disorder with high recurrence rate, therefore, it is desirable to identify current MDD (cMDD) and remitted MDD (rMDD) for their appropriate therapeutic interventions. In the study, 19 cMDD, 19 rMDD and 19 well-matched healthy controls (HC) were enrolled and scanned with the resting-state functional magnetic resonance imaging (rs-fMRI). The Hurst exponent (HE) of rs-fMRI in AAL-90 and AAL-1024 atlases were calculated and compared between groups. Then, a radial basis function (RBF) based support vector machine was proposed to identify every pair of the cMDD, rMDD and HC groups using the abnormal HE features, and a leave-one-out cross-validation was used to evaluate the classification performance. Applying the proposed method with AAL-1024 and AAL-90 atlas respectively, 87% and 84% subjects were correctly identified between cMDD and HC, 84% and 71% between rMDD and HC, and 89% and 74% between cMDD and rMDD. Our results indicated that the HE was an effective feature to distinguish cMDD and rMDD from HC, and the recognition performances with AAL-1024 parcellation were better than that with the conventional AAL-90 parcellation.
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Rodríguez-Cano E, Alonso-Lana S, Sarró S, Fernández-Corcuera P, Goikolea JM, Vieta E, Maristany T, Salvador R, McKenna PJ, Pomarol-Clotet E. Differential failure to deactivate the default mode network in unipolar and bipolar depression. Bipolar Disord 2017; 19:386-395. [PMID: 28714580 DOI: 10.1111/bdi.12517] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 05/31/2017] [Indexed: 12/18/2022]
Abstract
OBJECTIVES Neuroimaging studies have revealed evidence of brain functional abnormalities in bipolar depressive disorder (BDD) and major depressive disorder (MDD). However, few studies to date have compared these two mood disorders directly. METHODS Matched groups of 26 BDD type I patients, 26 MDD patients and 26 healthy controls underwent functional magnetic resonance imaging (fMRI) while performing the n-back working memory task. A whole-brain ANOVA was used to compare the three groups and clusters of significant difference were examined further using region-of-interest (ROI) analysis. RESULTS The whole-brain ANOVA revealed a single cluster of significant difference in the medial frontal cortex. The BDD and MDD patients both showed failure to deactivate in this area compared to the controls. The BDD patients showed significantly greater failure of deactivation than the MDD patients, which was not accounted for by differences in severity or chronicity of illness between them. CONCLUSIONS Failure of deactivation, considered to reflect default mode network dysfunction, is present to a greater extent in bipolar than unipolar depression. The study of this network may be useful in the search for brain markers that distinguish the two disorders.
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Affiliation(s)
- Elena Rodríguez-Cano
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.,Benito Menni Complex Assistencial en Salut Mental, Sant Boi, Spain.,Escola de Doctorat, Universitat de Barcelona, Barcelona, Spain
| | - Silvia Alonso-Lana
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.,CIBERSAM, Barcelona, Spain
| | - Salvador Sarró
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.,CIBERSAM, Barcelona, Spain
| | | | - José M Goikolea
- CIBERSAM, Barcelona, Spain.,Hospital Clinic, Bipolar Disorders Program, Barcelona, Spain
| | - Eduard Vieta
- CIBERSAM, Barcelona, Spain.,Hospital Clinic, Bipolar Disorders Program, Barcelona, Spain
| | | | - Raymond Salvador
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.,CIBERSAM, Barcelona, Spain
| | - Peter J McKenna
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.,CIBERSAM, Barcelona, Spain
| | - Edith Pomarol-Clotet
- FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.,CIBERSAM, Barcelona, Spain
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Ambrosi E, Arciniegas DB, Madan A, Curtis KN, Patriquin MA, Jorge RE, Spalletta G, Fowler JC, Frueh BC, Salas R. Insula and amygdala resting-state functional connectivity differentiate bipolar from unipolar depression. Acta Psychiatr Scand 2017; 136:129-139. [PMID: 28369737 PMCID: PMC5464981 DOI: 10.1111/acps.12724] [Citation(s) in RCA: 74] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/01/2017] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Distinguishing depressive episodes due to bipolar disorder (BD) or major depressive disorder (MDD) solely on clinical grounds is challenging. We aimed at comparing resting-state functional connectivity (rsFC) of regions subserving emotional regulation in similarly depressed BD and MDD. METHOD We enrolled 76 in-patients (BD, n = 36; MDD, n = 40) and 40 healthy controls (HC). A seed-based approach was used to identify regions showing different rsFC with the insula and the amygdala. Insular and amygdalar parcellations were then performed along with diagnostic accuracy of the main findings. RESULTS Lower rsFC between the left insula and the left mid-dorsolateral prefrontal cortex and between bilateral insula and right frontopolar prefrontal cortex (FPPFC) was observed in BD compared to MDD and HC. These results were driven by the dorsal anterior and posterior insula (PI). Lower rsFC between the right amygdala and the left anterior hippocampus was observed in MDD compared to BD and HC. These results were driven by the centromedial and laterobasal amygdala. Left PI/right FPPC rsFC showed 78% accuracy differentiating BD and MDD. CONCLUSION rsFC of amygdala and insula distinguished between depressed BD and MDD. The observed differences suggest the possibility of differential pathophysiological mechanisms of emotional dysfunction in bipolar and unipolar depression.
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Affiliation(s)
- Elisa Ambrosi
- Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Baylor College of Medicine, Houston, TX, USA,Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,The Menninger Clinic, Houston TX, USA,IRCCS Santa Lucia Foundation, Department of Clinical and Behavioral Neurology, Rome, Italy
| | - David B Arciniegas
- Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Baylor College of Medicine, Houston, TX, USA,Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - Alok Madan
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,The Menninger Clinic, Houston TX, USA
| | - Kaylah N Curtis
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,Micheal E DeBakey VA Medical Center, Houston TX, USA
| | - Michelle A Patriquin
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,The Menninger Clinic, Houston TX, USA
| | - Ricardo E Jorge
- Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Baylor College of Medicine, Houston, TX, USA,Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,Micheal E DeBakey VA Medical Center, Houston TX, USA
| | - Gianfranco Spalletta
- Beth K. and Stuart C. Yudofsky Division of Neuropsychiatry, Baylor College of Medicine, Houston, TX, USA,Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,IRCCS Santa Lucia Foundation, Department of Clinical and Behavioral Neurology, Rome, Italy
| | - J Christopher Fowler
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,The Menninger Clinic, Houston TX, USA
| | - B Christopher Frueh
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,Department of Psychology, University of Hawaii, Hilo, HI
| | - Ramiro Salas
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA,Micheal E DeBakey VA Medical Center, Houston TX, USA,Corresponding Author: Ramiro Salas, PhD, Baylor College of Medicine, One Baylor Plaza – room A277 Houston, TX 77030, USA. ; TE 713-798-3502; Fax 713-798-4488
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He H, Sui J, Du Y, Yu Q, Lin D, Drevets WC, Savitz JB, Yang J, Victor TA, Calhoun VD. Co-altered functional networks and brain structure in unmedicated patients with bipolar and major depressive disorders. Brain Struct Funct 2017; 222:4051-4064. [PMID: 28600678 DOI: 10.1007/s00429-017-1451-x] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Accepted: 05/28/2017] [Indexed: 01/10/2023]
Abstract
Bipolar disorder (BD) and major depressive disorder (MDD) share similar clinical characteristics that often obscure the diagnostic distinctions between their depressive conditions. Both functional and structural brain abnormalities have been reported in these two disorders. However, the direct link between altered functioning and structure in these two diseases is unknown. To elucidate this relationship, we conducted a multimodal fusion analysis on the functional network connectivity (FNC) and gray matter density from MRI data from 13 BD, 40 MDD, and 33 matched healthy controls (HC). A data-driven fusion method called mCCA+jICA was used to identify the co-altered FNC and gray matter components. Comparing to HC, BD exhibited reduced gray matter density in the parietal and occipital cortices, which correlated with attenuated functional connectivity within sensory and motor networks, as well as hyper-connectivity in regions that are putatively engaged in cognitive control. In addition, lower gray matter density was found in MDD in the amygdala and cerebellum. High accuracy in discriminating across groups was also achieved by trained classification models, implying that features extracted from the fusion analysis hold the potential to ultimately serve as diagnostic biomarkers for mood disorders.
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Affiliation(s)
- Hao He
- The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA.,Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA
| | - Jing Sui
- The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA. .,Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China. .,CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Beijing, China.
| | - Yuhui Du
- The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA.,School of Computer and Information Technology, Shanxi University, Taiyuan, China
| | - Qingbao Yu
- The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA
| | - Dongdong Lin
- The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA
| | - Wayne C Drevets
- Janssen Pharmaceuticals of Johnson & Johnson, Inc., Titusville, NJ, USA
| | | | - Jian Yang
- Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Electronics, Beijing Institute of Technology, Beijing, 10081, China
| | | | - Vince D Calhoun
- The Mind Research Network, Lovelace Biomedical and Environmental Research Institute, 1101 Yale Blvd, NE, Albuquerque, NM, 87106, USA. .,Electrical and Computer Engineering Department, University of New Mexico, Albuquerque, NM, USA. .,Department of Psychiatry, Yale University, New Haven, CT, USA.
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Lu J, Duan Y, Zuo Z, Xu W, Zhang X, Li C, Xue R, Lu H, Zhang W. Depression in patients with SAPHO syndrome and its relationship with brain activity and connectivity. Orphanet J Rare Dis 2017; 12:103. [PMID: 28545486 PMCID: PMC5445372 DOI: 10.1186/s13023-017-0658-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 05/18/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Synovitis-acne-pustulosis-hyperostosis-osteitis (SAPHO) syndrome is a rare disease and there is no related literature concerning psychiatric symptoms in SAPHO patients. Thus, we believe that this will be the first paper to explore the episode and the neurobiological basis of depression symptoms in SAPHO patients using resting state functional magnetic resonance imaging (rs-fMRI). Twenty-eight SAPHO patients and fifteen age- and gender- matched normal controls (NC) were consecutively submitted to psychiatric evaluation and rs-fMRI scanning. RESULTS 46.2% (13/28) of SAPHO patients were diagnosed as depression. The local spontaneous activity study showed that depressed SAPHO (D-SAPHO) patients had decreased amplitude of low-frequency fluctuation (ALFF) in the bilateral ventrolateral prefrontal cortex (VLPFC, attributed to the anatomical structures of Brodmann's area 47, 45 and 44) and right dorsolateral prefrontal cortex (DLPFC, attributed to the anatomical structures of Brodmann's area 8, 9 and 46), increased ALFF in the bilateral middle temporal gyrus, when compared to non-depressed SAPHO (ND-SAPHO) patients. The functional connectivity (FC) study disclosed that D-SAPHO patients had an increased FC in the anterior portions of default mode network (DMN) (the bilateral inferior frontal cortex, anterior cingulate cortex and insula cortex), and a decreased FC in the posterior areas of DMN (left middle occipital cortex), when compared to ND-SAPHO patients. Furthermore, correlation analysis revealed that both ALFF and FC values were significantly correlated with depression scores of SAPHO patients. CONCLUSION These results prompt us to understand the underlying pathophysiological mechanism of depression in SAPHO syndrome, and demonstrate that abnormal brain functional areas may serve as effective biological indicators to monitor depression in the future.
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Affiliation(s)
- Jie Lu
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No1. Shuaifuyuan Street, Dongcheng District, Beijing, China
| | - Yanping Duan
- Department of Psychology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Zhentao Zuo
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China
| | - Wenrui Xu
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No1. Shuaifuyuan Street, Dongcheng District, Beijing, China
| | - Xuewei Zhang
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No1. Shuaifuyuan Street, Dongcheng District, Beijing, China.,Department of Interventional Radiology, China Meitan General Hospital, Beijing, China
| | - Chen Li
- Department of Traditional Chinese Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China
| | - Rong Xue
- State Key Laboratory of Brain and Cognitive Science, Beijing MR Center for Brain Research, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.,Beijing Institute for Brain Disorders, Beijing, China
| | - Hanzhang Lu
- The Russell H. Morgan Department of Radiology & Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Weihong Zhang
- Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, No1. Shuaifuyuan Street, Dongcheng District, Beijing, China.
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Oakes P, Loukas M, Oskouian RJ, Tubbs RS. The neuroanatomy of depression: A review. Clin Anat 2016; 30:44-49. [PMID: 27576673 DOI: 10.1002/ca.22781] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Accepted: 08/26/2016] [Indexed: 11/06/2022]
Abstract
Depression is the most common psychiatric disorder, the number one cause of disability and affects up to 15% of the population. The aim of this review is to present a brief synopsis of the various biochemical imbalances thought to contribute to depression, aspects of anatomy possibly implicated in depression, and treatments related to targeting these specific locales. Multiple neurotransmitters and parts of the brain are involved with the disorder of depression. Although an exact etiology for depression has not been found in most cases, various treatments, medicinal, psychiatric and surgical, exist for this disabling disease. An improved knowledge of anatomical sites involved in patients with depression will help in future treatment modalities. Clin. Anat. 30:44-49, 2017. © 2016 Wiley Periodicals, Inc.
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Wittekind DA, Spada J, Gross A, Hensch T, Jawinski P, Ulke C, Sander C, Hegerl U. Early report on brain arousal regulation in manic vs depressive episodes in bipolar disorder. Bipolar Disord 2016; 18:502-510. [PMID: 27759213 DOI: 10.1111/bdi.12440] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Accepted: 09/09/2016] [Indexed: 12/20/2022]
Abstract
OBJECTIVES The arousal regulation model of affective disorders attributes an important role in the pathophysiology of affective disorders to dysregulation of brain arousal regulation. According to this model, sensation avoidance and withdrawal in depression and sensation seeking and hyperactivity in mania can be explained as auto-regulatory attempts to counteract a tonically high (depression) or unstable (mania) arousal. The aim of this study was to compare brain arousal regulation between manic and depressive bipolar patients and healthy controls. We hypothesized that currently depressed patients with bipolar disorder show hyperstable arousal regulation, while currently manic patients show unstable arousal regulation. METHODS Twenty-eight patients with bipolar disorder received a 15-min resting electroencephalogram (EEG) during a depressive episode and 19 patients received the same during a manic/hypomanic episode. Twenty-eight healthy control subjects were matched for age and sex. The Vigilance Algorithm Leipzig (VIGALL), which classifies 1-s EEG segments as one of seven EEG-vigilance substages, was used to measure brain arousal regulation. RESULTS Manic patients showed more unstable EEG-vigilance regulation as compared to the control sample (P = .004) and to patients with a depressive episode (P ≤ .001). Depressive patients had significantly higher mean vigilance levels (P = .045) than controls. CONCLUSIONS A clear difference was found in the regulation of brain arousal of manic patients vs depressive patients and controls. These data suggest that brain arousal might depend on the current mood state, which would support the arousal regulation model of affective disorders.
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Affiliation(s)
| | - Janek Spada
- Department of Psychiatry and Psychotherapy, Universität Leipzig, Leipzig, Germany.,Research Centre of the German Depression Foundation, Universität Leipzig, Leipzig, Germany
| | - Alexander Gross
- Department of Psychiatry and Psychotherapy, Universität Leipzig, Leipzig, Germany
| | - Tilman Hensch
- Department of Psychiatry and Psychotherapy, Universität Leipzig, Leipzig, Germany
| | - Philippe Jawinski
- Department of Psychiatry and Psychotherapy, Universität Leipzig, Leipzig, Germany.,Research Centre of the German Depression Foundation, Universität Leipzig, Leipzig, Germany
| | - Christine Ulke
- Department of Psychiatry and Psychotherapy, Universität Leipzig, Leipzig, Germany.,Research Centre of the German Depression Foundation, Universität Leipzig, Leipzig, Germany
| | - Christian Sander
- Department of Psychiatry and Psychotherapy, Universität Leipzig, Leipzig, Germany.,Research Centre of the German Depression Foundation, Universität Leipzig, Leipzig, Germany
| | - Ulrich Hegerl
- Department of Psychiatry and Psychotherapy, Universität Leipzig, Leipzig, Germany.,Research Centre of the German Depression Foundation, Universität Leipzig, Leipzig, Germany
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Barch D, Pagliaccio D, Belden A, Harms MP, Gaffrey M, Sylvester C, Tillman R, Luby J. Effect of Hippocampal and Amygdala Connectivity on the Relationship Between Preschool Poverty and School-Age Depression. Am J Psychiatry 2016; 173:625-34. [PMID: 26771739 PMCID: PMC4932860 DOI: 10.1176/appi.ajp.2015.15081014] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVE In this study, the authors tested the hypothesis that poverty experienced in early childhood, as measured by income-to-needs ratio, has an impact on functional brain connectivity at school age, which in turn mediates influences on child negative mood/depression. METHOD Participants were from a prospective longitudinal study of emotion development. Preschoolers 3-5 years of age were originally ascertained from primary care and day care sites in the St. Louis area and then underwent annual behavioral assessments for up to 12 years. Healthy preschoolers and those with a history of depression symptoms underwent neuroimaging at school age. Using functional MRI, the authors examined whole brain resting-state functional connectivity with the left and right hippocampus and amygdala. RESULTS Lower income-to-needs ratio at preschool age was associated with reduced connectivity between hippocampus and amygdala and a number of regions at school age, including the superior frontal cortex, lingual gyrus, posterior cingulate, and putamen. Lower income-to-needs ratio predicted greater negative mood/depression severity at school age, as did connectivity between the left hippocampus and the right superior frontal cortex and between the right amygdala and the right lingual gyrus. Connectivity mediated the relationship between income-to-needs ratio and negative mood/depression at the time of scanning. CONCLUSIONS These findings suggest that poverty in early childhood, as assessed by at least one measure, may influence the development of hippocampal and amygdala connectivity in a manner leading to negative mood symptoms during later childhood.
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Affiliation(s)
- Deanna Barch
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110,Department of Radiology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO 63110,Department of Psychology, Washington University in St. Louis, St. Louis, MO 63130,The Program in Neuroscience, Washington University in St. Louis, St. Louis, MO 63130,Deanna M. Barch, Ph.D., Washington University, Department of Psychology, Box 1125, One Brookings Drive, St. Louis, Mo. 63130, Phone: 314-935-8729, Fax: 314-935-8790,
| | - David Pagliaccio
- The Program in Neuroscience, Washington University in St. Louis, St. Louis, MO 63130
| | - Andy Belden
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Michael P. Harms
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Michael Gaffrey
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Chad Sylvester
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Rebecca Tillman
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110
| | - Joan Luby
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110,Deanna M. Barch, Ph.D., Washington University, Department of Psychology, Box 1125, One Brookings Drive, St. Louis, Mo. 63130, Phone: 314-935-8729, Fax: 314-935-8790,
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Depp CA, Dev S, Eyler LT. Bipolar Depression and Cognitive Impairment: Shared Mechanisms and New Treatment Avenues. Psychiatr Clin North Am 2016; 39:95-109. [PMID: 26876321 PMCID: PMC4758200 DOI: 10.1016/j.psc.2015.09.004] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Depression and cognitive impairment are pervasive and highly disabling aspects of bipolar disorder. Although cognitive impairment is partially independent from mood episodes, depressive symptoms may increase the risk of cognitive impairment in bipolar disorder through inflammatory processes as well as health risks such as obesity and sedentary behavior. Novel treatment avenues at the intersection of bipolar depression and cognitive impairment target inflammation directly or indirectly health behaviors such as diet, physical activity, and sleep hygiene.
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Affiliation(s)
- Colin A Depp
- Department of Psychiatry, UC San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Desert-Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA.
| | - Sheena Dev
- Department of Psychiatry, UC San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; SDSU-UCSD Joint Doctoral Program, Clinical Psychology, San Diego, CA, USA
| | - Lisa T Eyler
- Department of Psychiatry, UC San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Desert-Pacific Mental Illness Research, Education, and Clinical Center, VA San Diego Healthcare System, 3350 La Jolla Village Drive, San Diego, CA 92161, USA
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