51
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Siless V, Hubbard NA, Jones R, Wang J, Lo N, Bauer CCC, Goncalves M, Frosch I, Norton D, Vergara G, Conroy K, De Souza FV, Rosso IM, Wickham AH, Cosby EA, Pinaire M, Hirshfeld-Becker D, Pizzagalli DA, Henin A, Hofmann SG, Auerbach RP, Ghosh S, Gabrieli J, Whitfield-Gabrieli S, Yendiki A. Image acquisition and quality assurance in the Boston Adolescent Neuroimaging of Depression and Anxiety study. Neuroimage Clin 2020; 26:102242. [PMID: 32339824 PMCID: PMC7184183 DOI: 10.1016/j.nicl.2020.102242] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 02/19/2020] [Accepted: 03/10/2020] [Indexed: 12/18/2022]
Abstract
The Connectomes Related to Human Diseases (CRHD) initiative was developed with the Human Connectome Project (HCP) to provide high-resolution, open-access, multi-modal MRI data to better understand the neural correlates of human disease. Here, we present an introduction to a CRHD project, the Boston Adolescent Neuroimaging of Depression and Anxiety (BANDA) study, which is collecting multimodal neuroimaging, clinical, and neuropsychological data from 225 adolescents (ages 14-17), 150 of whom are expected to have a diagnosis of depression and/or anxiety. Our transdiagnostic recruitment approach samples the full spectrum of depressed/anxious symptoms and their comorbidity, consistent with NIMH Research Domain Criteria (RDoC). We focused on an age range that is critical for brain development and for the onset of mental illness. This project sought to harmonize imaging sequences, hardware, and functional tasks with other HCP studies, although some changes were made to canonical HCP methods to accommodate our study population and questions. We present a thorough overview of our imaging sequences, hardware, and scanning protocol. We detail similarities and differences between this study and other HCP studies. We evaluate structural-, diffusion-, and functional-image-quality measures that may be influenced by clinical factors (e.g., disorder, symptomatology). Signal-to-noise and motion estimates from the first 140 adolescents suggest minimal influence of clinical factors on image quality. We anticipate enrollment of an additional 85 participants, most of whom are expected to have a diagnosis of anxiety and/or depression. Clinical and neuropsychological data from the first 140 participants are currently freely available through the National Institute of Mental Health Data Archive (NDA).
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Affiliation(s)
- Viviana Siless
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Nicholas A Hubbard
- Massachusetts Institute of Technology, Cambridge, MA, United States; University of Nebraska, Lincoln, Lincoln, NE, United States
| | - Robert Jones
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Jonathan Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | - Nicole Lo
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Clemens C C Bauer
- Massachusetts Institute of Technology, Cambridge, MA, United States; Northeastern University, Department of Psychology, Boston, MA, United States
| | | | - Isabelle Frosch
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Daniel Norton
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States
| | | | | | | | - Isabelle M Rosso
- McLean Hospital, Belmont, MA, United States; Harvard Medical School, Boston, MA, United States
| | | | | | | | | | | | - Aude Henin
- Massachusetts General Hospital, Boston, MA, United States
| | | | | | - Satrajit Ghosh
- Harvard Medical School, Boston, MA, United States; Massachusetts Institute of Technology, Cambridge, MA, United States
| | - John Gabrieli
- Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Susan Whitfield-Gabrieli
- Massachusetts Institute of Technology, Cambridge, MA, United States; Northeastern University, Department of Psychology, Boston, MA, United States
| | - Anastasia Yendiki
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; Harvard Medical School, Boston, MA, United States.
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52
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Mithani K, Davison B, Meng Y, Lipsman N. The anterior limb of the internal capsule: Anatomy, function, and dysfunction. Behav Brain Res 2020; 387:112588. [PMID: 32179062 DOI: 10.1016/j.bbr.2020.112588] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 12/22/2019] [Accepted: 02/28/2020] [Indexed: 12/22/2022]
Abstract
The last two decades have seen a re-emergence of neurosurgery for severe, refractory psychiatric diseases, largely due to the advent of more precise and safe operative techniques. Nevertheless, the optimal targets for these surgeries remain a matter of debate, and are often grandfathered from experiences in the late 20th century. To better explore the rationale for one target in particular - the anterior limb of the internal capsule (ALIC) - we comprehensively reviewed all available literature on its role in the pathophysiology and treatment of mental illness. We first provide an overview of its functional anatomy, followed by a discussion on its role in several prevalent psychiatric diseases. Given its structural integration into the limbic system and involvement in a number of cognitive and emotional processes, the ALIC is a robust target for surgical treatment of refractory psychiatric diseases. The advent of novel neuroimaging techniques, coupled with image-guided therapeutics and neuromodulatory treatments, will continue to enable study on the ALIC in mental illness.
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Affiliation(s)
- Karim Mithani
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | | | - Ying Meng
- Sunnybrook Research Institute, Toronto, Ontario, Canada
| | - Nir Lipsman
- Sunnybrook Research Institute, Toronto, Ontario, Canada.
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53
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White matter disturbances in major depressive disorder: a coordinated analysis across 20 international cohorts in the ENIGMA MDD working group. Mol Psychiatry 2020; 25:1511-1525. [PMID: 31471575 PMCID: PMC7055351 DOI: 10.1038/s41380-019-0477-2] [Citation(s) in RCA: 189] [Impact Index Per Article: 47.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 04/15/2019] [Accepted: 05/10/2019] [Indexed: 12/27/2022]
Abstract
Alterations in white matter (WM) microstructure have been implicated in the pathophysiology of major depressive disorder (MDD). However, previous findings have been inconsistent, partially due to low statistical power and the heterogeneity of depression. In the largest multi-site study to date, we examined WM anisotropy and diffusivity in 1305 MDD patients and 1602 healthy controls (age range 12-88 years) from 20 samples worldwide, which included both adults and adolescents, within the MDD Working Group of the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium. Processing of diffusion tensor imaging (DTI) data and statistical analyses were harmonized across sites and effects were meta-analyzed across studies. We observed subtle, but widespread, lower fractional anisotropy (FA) in adult MDD patients compared with controls in 16 out of 25 WM tracts of interest (Cohen's d between 0.12 and 0.26). The largest differences were observed in the corpus callosum and corona radiata. Widespread higher radial diffusivity (RD) was also observed (all Cohen's d between 0.12 and 0.18). Findings appeared to be driven by patients with recurrent MDD and an adult age of onset of depression. White matter microstructural differences in a smaller sample of adolescent MDD patients and controls did not survive correction for multiple testing. In this coordinated and harmonized multisite DTI study, we showed subtle, but widespread differences in WM microstructure in adult MDD, which may suggest structural disconnectivity in MDD.
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54
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Dong Q, Liu J, Zeng L, Fan Y, Lu X, Sun J, Zhang L, Wang M, Guo H, Zhao F, Yan D, Li H, Guo W, Zhang Y, Liu B, Hu D, Li L. State-Independent Microstructural White Matter Abnormalities in Major Depressive Disorder. Front Psychiatry 2020; 11:431. [PMID: 32477196 PMCID: PMC7240278 DOI: 10.3389/fpsyt.2020.00431] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 04/28/2020] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND Even with continuous antidepressant treatment, residual symptoms and the risk of relapse can persist in remitted major depressive disorder (MDD) patients. Hence, having a clear recognition of the persistent abnormalities of the underlying neural substrate in MDD through a longitudinal investigation is of great importance. METHODS A total of 127 adult medication-free MDD patients with an acute depressive episode and 118 matched healthy controls (HCs) underwent diffusion tensor imaging. Over a 6-month treatment course, 62 remitted patients underwent a second scan. Remission was defined as a 24-item Hamilton Depression Rating Scale (HAMD24) score ≤7 for at least two weeks. Diffusion tensor imaging was performed with a 3.0 T scanner. Differences in whole-brain fractional anisotropy (FA) between MDD patients and HCs were assessed by an independent t-test using gender, age, and education as covariates. RESULTS Significant FA reductions in the left insula, left middle occipital gyrus, right thalamus, left pallidum and left precuneus were observed in current MDD (cMDD) patients compared with HCs. Moreover, significant FA reductions in the left insula were observed in remitted (rMDD) patients compared to HCs. However, no significant differences in FA values were found when comparing cMDD and rMDD patients. CONCLUSIONS The abnormalities in the insula showed state-independent characteristics, while the abnormalities in the middle occipital gyrus, thalamus, pallidum and precuneus seemed to be state-dependent impairments in MDD patients.
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Affiliation(s)
- Qiangli Dong
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jin Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Lingli Zeng
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Yiming Fan
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Xiaowen Lu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Jinrong Sun
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Liang Zhang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Mi Wang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Hua Guo
- Department of Psychiatry, Zhumadian Psychiatric Hospital, Zhumadian, China
| | - Futao Zhao
- Department of Psychiatry, Zhumadian Psychiatric Hospital, Zhumadian, China
| | - Danfeng Yan
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Haolun Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Weilong Guo
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Yan Zhang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Bangshan Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
| | - Dewen Hu
- College of Intelligence Science and Technology, National University of Defense Technology, Changsha, China
| | - Lingjiang Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, China.,Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China
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55
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Kreitz S, Zambon A, Ronovsky M, Budinsky L, Helbich TH, Sideromenos S, Ivan C, Konerth L, Wank I, Berger A, Pollak A, Hess A, Pollak DD. Maternal immune activation during pregnancy impacts on brain structure and function in the adult offspring. Brain Behav Immun 2020; 83:56-67. [PMID: 31526827 DOI: 10.1016/j.bbi.2019.09.011] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 09/03/2019] [Accepted: 09/12/2019] [Indexed: 12/12/2022] Open
Abstract
Gestational infection constitutes a risk factor for the occurrence of psychiatric disorders in the offspring. Activation of the maternal immune system (MIA) with subsequent impact on the development of the fetal brain is considered to form the neurobiological basis for aberrant neural wiring and the psychiatric manifestations later in offspring life. The examination of validated animal models constitutes a premier resource for the investigation of the neural underpinnings. Here we used a mouse model of MIA based upon systemic treatment of pregnant mice with Poly(I:C) (polyriboinosinic-polyribocytidilic acid), for the unbiased and comprehensive analysis of the impact of MIA on adult offspring brain activity, morphometry, connectivity and function by a magnetic resonance imaging (MRI) approach. Overall lower neural activity, smaller brain regions and less effective fiber structure were observed for Poly(I:C) offspring compared to the control group. The corpus callosum was significantly smaller and presented with a disruption in myelin/ fiber structure in the MIA progeny. Subsequent resting-state functional MRI experiments demonstrated a paralleling dysfunctional interhemispheric connectivity. Additionally, while the overall flow of information was intact, cortico-limbic connectivity was hampered and limbic circuits revealed hyperconnectivity in Poly(I:C) offspring. Our study sheds new light on the impact of maternal infection during pregnancy on the offspring brain and identifies aberrant resting-state functional connectivity patterns as possible correlates of the behavioral phenotype with relevance for psychiatric disorders.
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Affiliation(s)
- Silke Kreitz
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany
| | - Alice Zambon
- Department of Neurophysiology and Neuropharmacology, Medical University of Vienna, Austria
| | - Marianne Ronovsky
- Department of Neurophysiology and Neuropharmacology, Medical University of Vienna, Austria
| | - Lubos Budinsky
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria
| | - Thomas H Helbich
- Department of Biomedical Imaging and Image-Guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Austria
| | - Spyros Sideromenos
- Department of Neurophysiology and Neuropharmacology, Medical University of Vienna, Austria
| | - Claudiu Ivan
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany
| | - Laura Konerth
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany
| | - Isabel Wank
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany
| | - Angelika Berger
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Austria
| | - Arnold Pollak
- Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Austria
| | - Andreas Hess
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Germany.
| | - Daniela D Pollak
- Department of Neurophysiology and Neuropharmacology, Medical University of Vienna, Austria.
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56
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Maglanoc LA, Kaufmann T, Jonassen R, Hilland E, Beck D, Landrø NI, Westlye LT. Multimodal fusion of structural and functional brain imaging in depression using linked independent component analysis. Hum Brain Mapp 2020; 41:241-255. [PMID: 31571370 PMCID: PMC7267936 DOI: 10.1002/hbm.24802] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2019] [Revised: 09/08/2019] [Accepted: 09/09/2019] [Indexed: 01/03/2023] Open
Abstract
Previous structural and functional neuroimaging studies have implicated distributed brain regions and networks in depression. However, there are no robust imaging biomarkers that are specific to depression, which may be due to clinical heterogeneity and neurobiological complexity. A dimensional approach and fusion of imaging modalities may yield a more coherent view of the neuronal correlates of depression. We used linked independent component analysis to fuse cortical macrostructure (thickness, area, gray matter density), white matter diffusion properties and resting-state functional magnetic resonance imaging default mode network amplitude in patients with a history of depression (n = 170) and controls (n = 71). We used univariate and machine learning approaches to assess the relationship between age, sex, case-control status, and symptom loads for depression and anxiety with the resulting brain components. Univariate analyses revealed strong associations between age and sex with mainly global but also regional specific brain components, with varying degrees of multimodal involvement. In contrast, there were no significant associations with case-control status, nor symptom loads for depression and anxiety with the brain components, nor any interaction effects with age and sex. Machine learning revealed low model performance for classifying patients from controls and predicting symptom loads for depression and anxiety, but high age prediction accuracy. Multimodal fusion of brain imaging data alone may not be sufficient for dissecting the clinical and neurobiological heterogeneity of depression. Precise clinical stratification and methods for brain phenotyping at the individual level based on large training samples may be needed to parse the neuroanatomy of depression.
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Affiliation(s)
- Luigi A. Maglanoc
- Clinical Neuroscience Research Group, Department of PsychologyUniversity of OsloOsloNorway
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Tobias Kaufmann
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
| | - Rune Jonassen
- Faculty of Health SciencesOslo Metropolitan UniversityOsloNorway
| | - Eva Hilland
- Clinical Neuroscience Research Group, Department of PsychologyUniversity of OsloOsloNorway
- Division of PsychiatryDiakonhjemmet HospitalOsloNorway
| | - Dani Beck
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
| | - Nils Inge Landrø
- Clinical Neuroscience Research Group, Department of PsychologyUniversity of OsloOsloNorway
| | - Lars T. Westlye
- NORMENT, Division of Mental Health and AddictionOslo University Hospital & Institute of Clinical Medicine, University of OsloOsloNorway
- Department of PsychologyUniversity of OsloOsloNorway
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57
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Ran S, Zuo Z, Li C, Yin X, Qu W, Tang Q, Wang Y, Shi Y, Li H. Atrophic Corpus Callosum Associated with Altered Functional Asymmetry in Major Depressive Disorder. Neuropsychiatr Dis Treat 2020; 16:1473-1482. [PMID: 32606700 PMCID: PMC7293967 DOI: 10.2147/ndt.s245078] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 05/12/2020] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Impairments in intra- and inter-hemispheric information transfer circuits have been reported in patients with major depressive disorder (MDD). However, the specific anomalous connection (intra- and/or inter-hemispheric) and hemisphere (left and/or right) in which this connection plays a more dominant role in the pathogenic mechanism underlying MDD are still poorly understood. PATIENTS AND METHODS Structural magnetic resonance imaging and resting-state functional magnetic resonance imaging were performed in 33 patients with MDD and 33 healthy controls. The intra- and inter-hemispheric functional connectivity (FC) strength in the default mode network areas and volume of the callosal subregions were computed using independent samples t-tests. The partial correlations between the volumes and FCs were also computed. RESULTS The patients with MDD had smaller volumes in the genu of the corpus callosum than the controls. The intrahemispheric FCs of the bilateral posterior cingulate gyrus, left precuneus, left medial superior frontal gyrus, left medial orbitofrontal gyrus, left angular gyrus and left middle temporal gyrus, and interhemispheric FCs of the bilateral posterior cingulate gyrus in the patients with MDD were lower than those in the controls. Moreover, the intrahemispheric FCs of the precuneus and interhemispheric FCs of middle frontal gyrus, orbital middle frontal gyrus, and anterior cingulate gyrus in the patients with MDD showed right-lateralized asymmetry, which were opposite from the asymmetry patterns observed in the controls. The functional asymmetry of the anterior cingulate gyrus was correlated with the volume of the genu of the corpus callosum and disease duration. CONCLUSION These findings provide robust evidence that intra- and inter-hemispheric disconnections are involved in MDD, and that functional disruptions in the left hemisphere may be more relevant to the pathophysiology of MDD. Furthermore, imbalanced interhemispheric exchanges may contribute to the anatomical deficits in the corpus callosum in patients with MDD.
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Affiliation(s)
- Shuhua Ran
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Zhiwei Zuo
- Department of Radiology, General Hospital of Western Theater Command, Chengdu, People's Republic of China
| | - Chang Li
- Department of Radiology, Daping Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Xuntao Yin
- Department of Medical Imaging, Guizhou Provincial People's Hospital, Guizhou, People's Republic of China
| | - Wei Qu
- Department of Psychology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Qianying Tang
- Department of Psychology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Yao Wang
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Yanshu Shi
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
| | - Haitao Li
- Department of Radiology, Southwest Hospital, Army Medical University, Chongqing, People's Republic of China
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58
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The rise and fall of MRI studies in major depressive disorder. Transl Psychiatry 2019; 9:335. [PMID: 31819044 PMCID: PMC6901449 DOI: 10.1038/s41398-019-0680-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2019] [Revised: 11/25/2019] [Accepted: 11/27/2019] [Indexed: 12/28/2022] Open
Abstract
Structural and functional brain alterations are common in patients with major depressive disorder (MDD). In this review, we assessed the recent literature (1995-2018) on the structural and functional magnetic resonance imaging (MRI) studies of MDD. Despite the growing number of MRI studies on MDD, reverse inference is not possible as MRI scans cannot be used to aid in the diagnosis or treatment planning of patients with MDD. Hence, researchers must develop "bridges" to overcome the reverse inference fallacy in order to build effective tools for MDD diagnostics. From our findings, we proposed that the "bridges" may be built using multidisciplinary technologies, such as artificial intelligence, multimodality imaging, and nanotheranostics, allowing for the further study of MDD at the biological level. In return, the "bridges" will aid in the development of future diagnostics for MDD and other mental disorders.
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59
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Ing A, Sämann PG, Chu C, Tay N, Biondo F, Robert G, Jia T, Wolfers T, Desrivières S, Banaschewski T, Bokde ALW, Bromberg U, Büchel C, Conrod P, Fadai T, Flor H, Frouin V, Garavan H, Spechler PA, Gowland P, Grimmer Y, Heinz A, Ittermann B, Kappel V, Martinot JL, Meyer-Lindenberg A, Millenet S, Nees F, van Noort B, Orfanos DP, Martinot MLP, Penttilä J, Poustka L, Quinlan EB, Smolka MN, Stringaris A, Struve M, Veer IM, Walter H, Whelan R, Andreassen OA, Agartz I, Lemaitre H, Barker ED, Ashburner J, Binder E, Buitelaar J, Marquand A, Robbins TW, Schumann G. Identification of neurobehavioural symptom groups based on shared brain mechanisms. Nat Hum Behav 2019; 3:1306-1318. [PMID: 31591521 DOI: 10.1038/s41562-019-0738-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Accepted: 08/22/2019] [Indexed: 12/31/2022]
Abstract
Most psychopathological disorders develop in adolescence. The biological basis for this development is poorly understood. To enhance diagnostic characterization and develop improved targeted interventions, it is critical to identify behavioural symptom groups that share neural substrates. We ran analyses to find relationships between behavioural symptoms and neuroimaging measures of brain structure and function in adolescence. We found two symptom groups, consisting of anxiety/depression and executive dysfunction symptoms, respectively, that correlated with distinct sets of brain regions and inter-regional connections, measured by structural and functional neuroimaging modalities. We found that the neural correlates of these symptom groups were present before behavioural symptoms had developed. These neural correlates showed case-control differences in corresponding psychiatric disorders, depression and attention deficit hyperactivity disorder in independent clinical samples. By characterizing behavioural symptom groups based on shared neural mechanisms, our results provide a framework for developing a classification system for psychiatric illness that is based on quantitative neurobehavioural measures.
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Affiliation(s)
- Alex Ing
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Philipp G Sämann
- Neuroimaging, Max Planck Institute of Psychiatry, Munich, Germany
| | - Congying Chu
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Nicole Tay
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Francesca Biondo
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Gabriel Robert
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Behaviour and Basal Ganglia Research Unit, University of Rennes, Rennes, France
| | - Tianye Jia
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Thomas Wolfers
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Njmegen, The Netherlands
| | - Sylvane Desrivières
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arun L W Bokde
- Discipline of Psychiatry, School of Medicine and Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - Uli Bromberg
- Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Christian Büchel
- Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Patricia Conrod
- Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience King's College London, London, UK
- Department of Psychiatry, CHU Ste Justine Hospital, Université de Montréal, Montreal, Quebec, Canada
| | - Tahmine Fadai
- Systems Neuroscience, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Herta Flor
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Department of Psychology, School of Social Sciences, University of Mannheim, Mannheim, Germany
| | - Vincent Frouin
- NeuroSpin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
| | - Hugh Garavan
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Philip A Spechler
- Departments of Psychiatry and Psychology, University of Vermont, Burlington, VT, USA
| | - Penny Gowland
- Sir Peter Mansfield Imaging Centre School of Physics and Astronomy, University of Nottingham, Nottingham, UK
| | - Yvonne Grimmer
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Andreas Heinz
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Bernd Ittermann
- Biomedical Magnetic Resonance, Physikalisch-Technische Bundesanstalt, Braunschweig and Berlin, Germany
| | - Viola Kappel
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Charité, Humboldt University, Berlin, Germany
| | - Jean-Luc Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 Neuroimaging & Psychiatry, University Paris Saclay, University Paris Descartes; DIgiteo-Labs, Gif-sur-Yvette; and Maison de Solenn, Paris, France
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Sabina Millenet
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Frauke Nees
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Cognitive and Clinical Neuroscience, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Betteke van Noort
- Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Charité, Humboldt University, Berlin, Germany
| | | | - Marie-Laure Paillère Martinot
- Institut National de la Santé et de la Recherche Médicale, INSERM Unit 1000 Neuroimaging & Psychiatry, University Paris Saclay, University Paris Descartes; DIgiteo-Labs, Gif-sur-Yvette, France
- AP-HP.Sorbonne Université, Department of Child and Adolescent Psychiatry, Pitié-Salpêtrière Hospital, Paris, France
| | - Jani Penttilä
- Department of Social and Health Care, Psychosocial Services Adolescent Outpatient Clinic, Lahti, Finland
| | - Luise Poustka
- Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Centre Göttingen, Göttingen, Germany
| | - Erin Burke Quinlan
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Michael N Smolka
- Department of Psychiatry and Neuroimaging Centre, Technische Universität Dresden, Dresden, Germany
| | - Argyris Stringaris
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Mood Brain and Development Unit, National Institute of Mental Health/NIH, Bethesda, MD, USA
| | - Maren Struve
- Department of Psychiatry and Neuroimaging Centre, Technische Universität Dresden, Dresden, Germany
| | - Ilya M Veer
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Henrik Walter
- Department of Psychiatry and Psychotherapy CCM, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Robert Whelan
- School of Psychology and Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Ole A Andreassen
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Ingrid Agartz
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
- Department of Clinical Neuroscience, Centre for Psychiatric Research, Karolinska Institutet, Stockholm, Sweden
| | - Hervé Lemaitre
- Institut National de la Santé et de la Recherche Médicale, UMR 992 INSERM, CEA, Faculté de médecine, Université Paris-Sud, Université Paris-Saclay, NeuroSpin, Gif-sur-Yvette, France
| | - Edward D Barker
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - John Ashburner
- Wellcome Centre for Human Neuroimaging, UCL Institute of Neurology, University College London, London, UK
| | - Elisabeth Binder
- Neuroimaging, Max Planck Institute of Psychiatry, Munich, Germany
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Njmegen, The Netherlands
| | - Andre Marquand
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Njmegen, The Netherlands
| | - Trevor W Robbins
- Department of Psychology and Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Gunter Schumann
- Centre for Population Neuroscience and Precision Medicine, Institute of Psychiatry, Psychology & Neuroscience, Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.
- PONS Research Group, Department of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin and Leibniz Institute for Neurobiology, Magdeburg, Germany.
- PONS Research Group, Institute for Science and Technology of Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai, China.
- PONS Research Group, Dept. of Psychiatry and Psychotherapy, Campus Charite Mitte, Humboldt University, Berlin, Germany.
- PONS Research Group, Leibniz Institute for Neurobiology, Magdeburg, Germany.
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Mohajer B, Masoudi M, Ashrafi A, Mohammadi E, Bayani Ershadi AS, Aarabi MH, Uban KA. Structural white matter alterations in male adults with high functioning autism spectrum disorder and concurrent depressive symptoms; a diffusion tensor imaging study. J Affect Disord 2019; 259:40-46. [PMID: 31437700 DOI: 10.1016/j.jad.2019.08.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Revised: 08/08/2019] [Accepted: 08/12/2019] [Indexed: 12/28/2022]
Abstract
BACKGROUND Autism spectrum disorder (ASD), a prevalent developmental condition, is associated with comorbid mood disorders, most importantly depression. Here, we explored the underlying association between brain white matter microstructural integrity, assessed by diffusion tensor imaging (DTI), and depressive symptoms, in male adults with high-functioning ASD. METHOD To assess our main purpose, Autism Brain Imaging Data Exchange II dataset was used to acquire brain diffusion imaging from 26 adult male patients with ASD ranging from 18 to 62 years of age, and 26 age and gender-matched typically developed control subjects. Participants were evaluated for depressive symptoms manifestation by the Beck Depression Index (BDI). DWI images were preprocessed and analyzed for DTI scalers in the "ExploreDTI" toolbox. Adjusted linear regression models were used. Association between normalized BDI score and its interaction with diagnosis, as predictors, and measures of fractional anisotropy (FA) and mean diffusivity (MD) of regions of interest according to Mori atlas was assessed. RESULT Significant lower microstructural integrity of white matter was found in association with higher BDI scores in ASD group, mainly in regions of anterior limb of internal capsule (ALIC) and corona radiata. Also, a statistically significant positive interaction between BDI and ASD was seen in FA of left ALIC. DISCUSSION Considering similar regional brain white matter involvement with the imaging studies of depression in the typically developed population, we propose that these alterations of white matter tracts in depressive symptoms of adult ASD subjects might be, at least, similar to depression in typically developed population.
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Affiliation(s)
- Bahram Mohajer
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Maryam Masoudi
- Faculty of medicine, Tehran university of medical science, Tehran, Iran
| | - Agaah Ashrafi
- Department of Psychiatry, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Esmaeil Mohammadi
- Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Sasan Bayani Ershadi
- Department of Pharmacology and Toxicology, School of Pharmacy, Zanjan University of Medical Sciences, Zanjan, Iran
| | | | - Kristina A Uban
- Program in Public Health, University of California Irvine, Irvine, USA
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Li F, Wu D, Lui S, Gong Q, Sweeney JA. Clinical Strategies and Technical Challenges in Psychoradiology. Neuroimaging Clin N Am 2019; 30:1-13. [PMID: 31759566 DOI: 10.1016/j.nic.2019.09.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Psychoradiology is an emerging discipline at the intersection between radiology and psychiatry. It holds promise for playing a role in clinical diagnosis, evaluation of treatment response and prognosis, and illness risk prediction for patients with psychiatric disorders. Addressing complex issues, such as the biological heterogeneity of psychiatric syndromes and unclear neurobiological mechanisms underpinning radiological abnormalities, is a challenge that needs to be resolved. With the advance of multimodal imaging and more efforts in standardization of image acquisition and analysis, psychoradiology is becoming a promising tool for the future of clinical care for patients with psychiatric disorders.
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Affiliation(s)
- Fei Li
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Lane, Chengdu 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, No. 37 Guo Xue Lane, Chengdu 610041, China
| | - Dongsheng Wu
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Lane, Chengdu 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, No. 37 Guo Xue Lane, Chengdu 610041, China
| | - Su Lui
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Lane, Chengdu 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, No. 37 Guo Xue Lane, Chengdu 610041, China.
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Lane, Chengdu 610041, China; Psychoradiology Research Unit of Chinese Academy of Medical Sciences, West China Hospital of Sichuan University, No. 37 Guo Xue Lane, Chengdu 610041, China
| | - John A Sweeney
- Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Suite 3200, 260 Stetson Street, Cincinnati, OH 45219, USA
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Cui L, Gong X, Chang M, Yin Z, Geng H, Song Y, Lv J, Feng R, Wang F, Tang Y, Xu K. Association of LHPP genetic variation (rs35936514) with structural and functional connectivity of hippocampal-corticolimbic neural circuitry. Brain Imaging Behav 2019; 14:1025-1033. [PMID: 31250265 DOI: 10.1007/s11682-019-00140-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
A single nucleotide polymorphism at the LHPP gene (rs35936514) has been reported to be associated with major depressive disorder (MDD) in genome-wide association studies. We conducted a neuroimaging analysis to explore whether and which brain neural systems are affected by LHPP variation. Since LHPP variants seem to be associated with the hippocampus, we assessed the relationship between rs35936514 variation and structural-functional connectivity within a hippocampal-corticolimbic neural system implicated in MDD. A total of 122 Chinese subjects were divided into a CC homozygous group (CC genotype, n = 60) and a T allele-carrier group (CT/TT genotypes, n = 62). All subjects participated in resting-state functional magnetic resonance imaging (rs-fMRI) and diffusion tensor imaging (DTI) scans. Structural and functional connectivity data analyses were then performed. Compared to the CC group, the T allele-carrier group showed significantly higher fractional anisotropy (FA) values in the fornix as well as increased functional connectivity from the hippocampus to the rostral part of the anterior cingulate cortex (rACC). Moreover, a significant negative correlation between fornix FA value and hippocampus-rACC functional connectivity was identified (P < 0.05). These findings suggest that there is a relationship between rs35936514 variation and both structural and functional hippocampal-corticolimbic neural system involvement in MDD. LHPP may play an important role in the neuropathophysiology of MDD.
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Affiliation(s)
- Lingling Cui
- Department of Radiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, Liaoning, People's Republic of China
| | - Xiaohong Gong
- State Key Laboratory of Genetic Engineering and MOE key Laboratory of Contemporary Anthroology, School of Life Sciences, Fudan University, Shanghai, China
| | - Miao Chang
- Department of Radiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, Liaoning, People's Republic of China
| | - Zhiyang Yin
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Haiyang Geng
- Department of Radiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yanzhuo Song
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Jing Lv
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Ruiqi Feng
- Department of Radiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, Liaoning, People's Republic of China
| | - Fei Wang
- Department of Radiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
- The Research Institute for Brain Functional Imaging, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China.
- Department of Geriatrics and Psychiatry, The First Affiliated Hospital, China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, Liaoning, People's Republic of China.
| | - Ke Xu
- Department of Radiology, The First Affiliated Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, Liaoning, People's Republic of China.
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Gao X, Xiao Y, Lv P, Zhang W, Gong Y, Wang T, Gong Q, Ji Y, Lui S. Altered brain network integrity in patients with asthma: A structural connectomic diffusion tensor imaging study. Respir Physiol Neurobiol 2019; 266:89-94. [PMID: 31085322 DOI: 10.1016/j.resp.2019.05.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 05/05/2019] [Accepted: 05/06/2019] [Indexed: 02/05/2023]
Abstract
Brain functional deficits had been reported in asthma patients. These deficits may be related to treatment resistance, inaccurate self-assessment and poor self-management. However, changes of the structural brain network in asthma patients remain largely unclear. Diffusion tensor imaging were acquired from 54 asthmatic patients and 44 controls. Then we calculated all the participants' structural network metrics. All the participants underwent the test of Hamilton Rating Scale for Depression and Anxiety as well as a lung function. Multiple linear correlation analyses were conducted. At the global level, asthma patients had a higher path length and lower global efficiency than controls, implying a shift toward regular networks. At the local level, asthma patients exhibited abnormal nodal connectivity with other nodes involved the fronto-limbic regions. Our findings highlight more locally segregated but less efficiently integrated structural networks, particularly involving frontal-limbic networks, in asthmatic patients. These findings provide important evidence to support the role of brain networks in the pathophysiology of asthma.
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Affiliation(s)
- Xin Gao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Department of Radiology, People's Hospital of Deyang City, Deyang, China
| | - Yuan Xiao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Peilin Lv
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Wenjing Zhang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yao Gong
- The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Ting Wang
- Department of Respiratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qiyong Gong
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yulin Ji
- Department of Respiratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
| | - Su Lui
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
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Ping L, Xu J, Zhou C, Lu J, Lu Y, Shen Z, Jiang L, Dai N, Xu X, Cheng Y. Tryptophan hydroxylase-2 polymorphism is associated with white matter integrity in first-episode, medication-naïve major depressive disorder patients. Psychiatry Res Neuroimaging 2019; 286:4-10. [PMID: 30822678 DOI: 10.1016/j.pscychresns.2019.02.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 02/18/2019] [Accepted: 02/18/2019] [Indexed: 12/28/2022]
Abstract
Considerable evidence suggests that the tryptophan hydroxylase-2 (TPH2) gene is associated with the pathophysiology of major depressive disorder (MDD). In the present study, we investigated alterations of white matter (WM) integrity and the impact of TPH2 polymorphism on WM in a sample of 118 first-episode, medication-naïve, MDD patients and 118 well-matched healthy controls. Whole brain analyses of fractional anisotropy (FA) were performed using tract-based spatial statistics (TBSS). The results showed that the MDD group had significantly reduced FA values for the genu and body of the corpus callosum (CC) and the bilateral anterior corona radiate (ACR). In the MDD patient group, the GG homozygote subgroup exhibited a widespread reduction of FA (uncorrected) and significantly reduced FA in the left retrolenticular portion of the internal capsule and left superior longitudinal fasciculus (SLF) compared with those of the T carriers (GT/TT) (FWE corrected). No significant correlation was found between the FA values in any brain region and the patients' clinical variables. Our findings demonstrate the presence of abnormal white matter integrity in untreated patients with first-episode depression. TPH2-rs4570625 polymorphisms may be involved in the pathological mechanism of WM microarchitecture in patients.
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Affiliation(s)
- Liangliang Ping
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Jian Xu
- Department of Rheumatology and Immunology, First Affiliated Hospital of Kunming Medical Unversity, Kunming, Yunnan, China
| | - Cong Zhou
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Jin Lu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Yi Lu
- Imaging Center, First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China
| | - Zonglin Shen
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Linling Jiang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Nan Dai
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Yuqi Cheng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China.
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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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66
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Holmes SE, Scheinost D, Finnema SJ, Naganawa M, Davis MT, DellaGioia N, Nabulsi N, Matuskey D, Angarita GA, Pietrzak RH, Duman RS, Sanacora G, Krystal JH, Carson RE, Esterlis I. Lower synaptic density is associated with depression severity and network alterations. Nat Commun 2019; 10:1529. [PMID: 30948709 PMCID: PMC6449365 DOI: 10.1038/s41467-019-09562-7] [Citation(s) in RCA: 246] [Impact Index Per Article: 49.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 03/18/2019] [Indexed: 12/21/2022] Open
Abstract
Synaptic loss and deficits in functional connectivity are hypothesized to contribute to symptoms associated with major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). The synaptic vesicle glycoprotein 2A (SV2A) can be used to index the number of nerve terminals, an indirect estimate of synaptic density. Here, we used positron emission tomography (PET) with the SV2A radioligand [11C]UCB-J to examine synaptic density in n = 26 unmedicated individuals with MDD, PTSD, or comorbid MDD/PTSD. The severity of depressive symptoms was inversely correlated with SV2A density, and individuals with high levels of depression showing lower SV2A density compared to healthy controls (n = 21). SV2A density was also associated with aberrant network function, as measured by magnetic resonance imaging (MRI) functional connectivity. This is the first in vivo evidence linking lower synaptic density to network alterations and symptoms of depression. Our findings provide further incentive to evaluate interventions that restore synaptic connections to treat depression.
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Affiliation(s)
- Sophie E Holmes
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Dustin Scheinost
- Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Sjoerd J Finnema
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Mika Naganawa
- Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Margaret T Davis
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Nicole DellaGioia
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Nabeel Nabulsi
- Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06511, USA
| | - David Matuskey
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
- Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Gustavo A Angarita
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
- U.S. Department of Veteran Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Ronald S Duman
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Gerard Sanacora
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA
- U.S. Department of Veteran Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Richard E Carson
- Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, 06511, USA
| | - Irina Esterlis
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, 06511, USA.
- U.S. Department of Veteran Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, 06516, USA.
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White matter abnormalities in depression: A categorical and phenotypic diffusion MRI study. NEUROIMAGE-CLINICAL 2019; 22:101710. [PMID: 30849644 PMCID: PMC6406626 DOI: 10.1016/j.nicl.2019.101710] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2018] [Revised: 01/25/2019] [Accepted: 02/03/2019] [Indexed: 01/10/2023]
Abstract
Mood depressive disorder is one of the most disabling chronic diseases with a high rate of everyday life disability that affects 350 million people around the world. Recent advances in neuroimaging have reported widespread structural abnormalities, suggesting a dysfunctional frontal-limbic circuit involved in the pathophysiological mechanisms of depression. However, a variety of different white matter regions has been implicated and is sought to suffer from lack of reproducibility of such categorical-based biomarkers. These inconsistent results might be attributed to various factors: actual categorical definition of depression as well as clinical phenotype variability. In this study, we 1/ examined WM changes in a large cohort (114 patients) compared to a healthy control group and 2/ sought to identify specific WM alterations in relation to specific depressive phenotypes such as anhedonia (i.e. lack of pleasure), anxiety and psychomotor retardation –three core symptoms involved in depression. Consistent with previous studies, reduced white matter was observed in the genu of the corpus callosum extending to the inferior fasciculus and posterior thalamic radiation, confirming a frontal-limbic circuit abnormality. Our analysis also reported other patterns of increased fractional anisotropy and axial diffusivity as well as decreased apparent diffusion coefficient and radial diffusivity in the splenium of the corpus callosum and posterior limb of the internal capsule. Moreover, a positive correlation between FA and anhedonia was found in the superior longitudinal fasciculus as well as a negative correlation in the cingulum. Then, the analysis of the anxiety and diffusion metric revealed that increased anxiety was associated with greater FA values in genu and splenium of corpus callosum, anterior corona radiata and posterior thalamic radiation. Finally, the motor retardation analysis showed a correlation between increased Widlöcher depressive retardation scale scores and reduced FA in the body and genu of the corpus callosum, fornix, and superior striatum. Through this twofold approach (categorical and phenotypic), this study has underlined the need to move forward to a symptom-based research area of biomarkers, which help to understand the pathophysiology of mood depressive disorders and to stratify precise phenotypes of depression with targeted therapeutic strategies. Mood depressive disorder is one of the most disabling chronic disease. Past studies of diffusion analysis had found inconsistent results. We analyzed white matter integrity in a large cohort of depressed patients. We conducted both categorical and dimensional approaches. In the future, these biomarkers could help to develop new therapeutic strategies.
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Hinton KE, Lahey BB, Villalta-Gil V, Meyer FAC, Burgess LL, Chodes LK, Applegate B, Van Hulle CA, Landman BA, Zald DH. White matter microstructure correlates of general and specific second-order factors of psychopathology. Neuroimage Clin 2019; 22:101705. [PMID: 30753960 PMCID: PMC6369105 DOI: 10.1016/j.nicl.2019.101705] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Revised: 01/29/2019] [Accepted: 01/31/2019] [Indexed: 12/11/2022]
Abstract
Increasing data indicate that prevalent forms of psychopathology can be organized into second-order dimensions based on their correlations, including a general factor of psychopathology that explains the common variance among all disorders and specific second-order externalizing and internalizing factors. Nevertheless, most existing studies on the neural correlates of psychopathology employ case-control designs that treat diagnoses as independent categories, ignoring the highly correlated nature of psychopathology. Thus, for instance, although perturbations in white matter microstructure have been identified across a range of mental disorders, nearly all such studies used case-control designs, leaving it unclear whether observed relations reflect disorder-specific characteristics or transdiagnostic associations. Using a representative sample of 410 young adult twins oversampled for psychopathology risk, we tested the hypothesis that some previously observed relations between white matter microstructure properties in major tracts and specific disorders are related to second-order factors of psychopathology. We examined fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD). White matter correlates of all second-order factors were identified after controlling for multiple statistical tests, including the general factor (FA in the body of the corpus callosum), specific internalizing (AD in the fornix), and specific externalizing (AD in the splenium of the corpus callosum, sagittal stratum, anterior corona radiata, and internal capsule). These findings suggest that some features of white matter within specific tracts may be transdiagnostically associated multiple forms of psychopathology through second-order factors of psychopathology rather with than individual mental disorders.
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Affiliation(s)
- Kendra E Hinton
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States.
| | - Benjamin B Lahey
- Department of Public Health Sciences, University of Chicago, Chicago, IL, United States
| | - Victoria Villalta-Gil
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Francisco A C Meyer
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Leah L Burgess
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Laura K Chodes
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
| | - Brooks Applegate
- Department of Educational Leadership, Research and Technology, Western Michigan University, Kalamazoo, MI, United States
| | - Carol A Van Hulle
- Waisman Center, University of Wisconsin-Madison, Madison, WI, United States
| | - Bennett A Landman
- School of Engineering, Vanderbilt University, Nashville, TN, United States
| | - David H Zald
- Department of Psychological Sciences, Vanderbilt University, Nashville, TN, United States
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Schmitgen MM, Depping MS, Bach C, Wolf ND, Kubera KM, Vasic N, Hirjak D, Sambataro F, Wolf RC. Aberrant cortical neurodevelopment in major depressive disorder. J Affect Disord 2019; 243:340-347. [PMID: 30261449 DOI: 10.1016/j.jad.2018.09.021] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2018] [Revised: 08/07/2018] [Accepted: 09/10/2018] [Indexed: 11/20/2022]
Abstract
BACKGROUND There is strong neuroimaging evidence that cortical alterations represent a core pathophysiological feature of major depressive disorder (MDD). Differential contributions of cortical features of neurodevelopmental origin, which may distinctly contribute to MDD vulnerability, disease-onset, or symptom expression, are unclear at present. METHODS We investigated distinct markers of cortical neurodevelopment, i.e. local cortical gyrification (LGI) and thickness (CT) in patients with MDD (n = 38) and healthy controls (HC, n = 22) using 3 T structural magnetic resonance imaging data and surface-based data analysis techniques. CT and LGI were computed using the Computational Anatomy Toolbox (CAT12). Analyses were performed for the entire cortical surface followed by a complementary regions-of-interest approach. RESULTS MDD patients showed significantly greater LGI in frontal, cingulate, parietal, temporal, and occipital regions compared to HC (FDR-corrected at p < 0.05 using threshold-free cluster enhancement). No significant differences of CT were found. In the MDD-group, correlations were found between duration of illness in years and number of depressive episodes and LGI of frontal, temporal, and parietal regions (p < 0.05). LIMITATIONS Main limitations are the relatively modest sample size and a cross-sectional study design. We did not control for early environmental factors potentially influencing neurodevelopment, such as childhood trauma. We report associations uncorrected for multiple comparisons. CONCLUSIONS The data suggest different local trajectories of cortical change in MDD. In addition, our data support the notion that aberrant cortical development may serve as a vulnerability marker of MDD, as well as a potential predictor of disease course.
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Affiliation(s)
- Mike M Schmitgen
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115 Heidelberg, Germany
| | - Malte S Depping
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115 Heidelberg, Germany
| | - Claudia Bach
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115 Heidelberg, Germany
| | - Nadine D Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115 Heidelberg, Germany
| | - Katharina M Kubera
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115 Heidelberg, Germany
| | - Nenad Vasic
- Department of Psychiatry and Psychotherapy, Clinical Center Christophsbad, Göppingen, Germany
| | - Dusan Hirjak
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University Mannheim, Germany
| | - Fabio Sambataro
- Department of Experimental and Clinical Medical Sciences (DISM), University of Udine, Italy
| | - Robert C Wolf
- Department of General Psychiatry, Center for Psychosocial Medicine, Heidelberg University, Vosstrasse 4, 69115 Heidelberg, Germany.
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Payne JL, Maguire J. Pathophysiological mechanisms implicated in postpartum depression. Front Neuroendocrinol 2019; 52:165-180. [PMID: 30552910 PMCID: PMC6370514 DOI: 10.1016/j.yfrne.2018.12.001] [Citation(s) in RCA: 162] [Impact Index Per Article: 32.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2018] [Revised: 11/13/2018] [Accepted: 12/11/2018] [Indexed: 02/06/2023]
Abstract
This review aims to summarize the diverse proposed pathophysiological mechanisms contributing to postpartum depression, highlighting both clinical and basic science research findings. The risk factors for developing postpartum depression are discussed, which may provide insight into potential neurobiological underpinnings. The evidence supporting a role for neuroendocrine changes, neuroinflammation, neurotransmitter alterations, circuit dysfunction, and the involvement of genetics and epigenetics in the pathophysiology of postpartum depression are discussed. This review integrates clinical and preclinical findings and highlights the diversity in the patient population, in which numerous pathophysiological changes may contribute to this disorder. Finally, we attempt to integrate these findings to understand how diverse neurobiological changes may contribute to a common pathological phenotype. This review is meant to serve as a comprehensive resource reviewing the proposed pathophysiological mechanisms underlying postpartum depression.
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Affiliation(s)
- Jennifer L Payne
- Department of Psychiatry, Women's Mood Disorders Center, Johns Hopkins School of Medicine, Baltimore, MD 21205, USA
| | - Jamie Maguire
- Department of Neuroscience, Tufts University School of Medicine, Boston, MA 02111, USA.
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Yang C, Li L, Hu X, Luo Q, Kuang W, Lui S, Huang X, Dai J, He M, Kemp GJ, Sweeney JA, Gong Q. Psychoradiologic abnormalities of white matter in patients with bipolar disorder: diffusion tensor imaging studies using tract-based spatial statistics. J Psychiatry Neurosci 2019; 44:32-44. [PMID: 30565904 PMCID: PMC6306286 DOI: 10.1503/jpn.170221] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND An increasing number of psychoradiology studies that use tract-based spatial statistics (TBSS) of diffusion tensor imaging have reported abnormalities of white matter in patients with bipolar disorder; however, robust conclusions have proven elusive, especially considering some important clinical and demographic factors. In the present study, we performed a quantitative meta-analysis of TBSS studies to elucidate the most consistent white-matter abnormalities in patients with bipolar disorder. METHODS We conducted a systematic search up to May 2017 for all TBSS studies comparing fractional anisotropy (FA) between patients with bipolar disorder and healthy controls. We performed anisotropic effect size–signed differential mapping meta-analysis. RESULTS We identified a total of 22 data sets including 556 patients with bipolar disorder and 623 healthy controls. We found significant FA reductions in the genu and body of the corpus callosum in patients with bipolar disorder relative to healthy controls. No regions of increased FA were reported. In subgroup analyses, the FA reduction in the genu of the corpus callosum retained significance in patients with bipolar disorder type I, and the FA reduction in the body of the corpus callosum retained significance in euthymic patients with bipolar disorder. Meta-regression analysis revealed that the percentage of female patients was negatively correlated with reduced FA in the body of the corpus callosum. LIMITATIONS Data acquisition, patient characteristics and clinical variables in the included studies were heterogeneous. The small number of diffusion tensor imaging studies using TBSS in patients with bipolar disorder type II, as well as the lack of other clinical information, hindered the application of subgroup meta-analyses. CONCLUSION Our study consistently identified decreased FA in the genu and body of the corpus callosum, suggesting that interhemispheric communication may be the connectivity most affected in patients with bipolar disorder.
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Affiliation(s)
- Cheng Yang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Lei Li
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Xinyu Hu
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Qiang Luo
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Weihong Kuang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Su Lui
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Xiaoqi Huang
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Jing Dai
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Manxi He
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Graham J. Kemp
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - John A Sweeney
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
| | - Qiyong Gong
- From the Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, China (Yang, Li, Hu, Luo, Lui, Huang, Sweeney, Gong); the Department of Psychiatry, West China Hospital of Sichuan University, China (Kuang); the Department of Psychoradiology, Chengdu Mental Health Center, China (Kuang, Dai, He); the Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, United Kingdom (Kemp); the Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio, United States (Sweeney); and the Department of Psychology, School of Public Administration, Sichuan University, China (Gong)
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Pasternak O, Kelly S, Sydnor VJ, Shenton ME. Advances in microstructural diffusion neuroimaging for psychiatric disorders. Neuroimage 2018; 182:259-282. [PMID: 29729390 PMCID: PMC6420686 DOI: 10.1016/j.neuroimage.2018.04.051] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 04/18/2018] [Accepted: 04/23/2018] [Indexed: 12/18/2022] Open
Abstract
Understanding the neuropathological underpinnings of mental disorders such as schizophrenia, major depression, and bipolar disorder is an essential step towards the development of targeted treatments. Diffusion MRI studies utilizing the diffusion tensor imaging (DTI) model have been extremely successful to date in identifying microstructural brain abnormalities in individuals suffering from mental illness, especially in regions of white matter, although identified abnormalities have been biologically non-specific. Building on DTI's success, in recent years more advanced diffusion MRI methods have been developed and applied to the study of psychiatric populations, with the aim of offering increased sensitivity to subtle neurological abnormalities, as well as improved specificity to candidate pathologies such as demyelination and neuroinflammation. These advanced methods, however, usually come at the cost of prolonged imaging sequences or reduced signal to noise, and they are more difficult to evaluate compared with the more simplified approach taken by the now common DTI model. To date, a limited number of advanced diffusion MRI methods have been employed to study schizophrenia, major depression and bipolar disorder populations. In this review we survey these studies, compare findings across diverse methods, discuss the main benefits and limitations of the different methods, and assess the extent to which the application of more advanced diffusion imaging approaches has led to novel and transformative information with regards to our ability to better understand the etiology and pathology of mental disorders.
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Affiliation(s)
- Ofer Pasternak
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sinead Kelly
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Valerie J Sydnor
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Martha E Shenton
- Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Veteran Affairs Boston Healthcare System, Brockton Division, Brockton, MA, USA
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73
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Marečková K, Klasnja A, Andrýsková L, Brázdil M, Paus T. Developmental origins of depression-related white matter properties: Findings from a prenatal birth cohort. Hum Brain Mapp 2018; 40:1155-1163. [PMID: 30367731 DOI: 10.1002/hbm.24435] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 10/10/2018] [Indexed: 12/29/2022] Open
Abstract
Depression is the leading cause of years lost due to disability worldwide. Still, the mechanisms underlying its development are not well understood. This study aimed to evaluate white-matter properties associated with depressive symptomatology in young adulthood and their developmental origins. Diffusion tensor imaging and assessment of depressive symptomatology were conducted in 128 young adults (47% male, age 23-24) from a prenatal birth cohort (European Longitudinal Study of Pregnancy and Childhood). For a subset of these individuals, the database included information on prenatal stress (n = 93) and depressive symptoms during adolescence (assessed repeatedly at age 15 and 19). Depressive symptoms in young adulthood were associated with lower fractional anisotropy in the left and right cingulum and higher fractional anisotropy in the right corticospinal tract and superior longitudinal fasciculus. Further analyses revealed that prenatal stress and depressive symptomatology during adolescence were independent predictors of altered white-matter properties in the cingulum in young adulthood. We conclude that typically developing young adults with more depressive symptoms already exhibit tract-specific alterations in white-matter properties and that prenatal stress and depressive symptomatology during adolescence might contribute to their development.
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Affiliation(s)
- Klára Marečková
- Brain and Mind Research Programme, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic
| | - Anja Klasnja
- Rotman Research Institute, Baycrest, Toronto, Canada
| | - Lenka Andrýsková
- Research Centre for Toxic Compounds in the Environment (RECETOX), Faculty of Science, Masaryk University, Brno, Czech Republic
| | - Milan Brázdil
- Brain and Mind Research Programme, Central European Institute of Technology, Masaryk University (CEITEC MU), Brno, Czech Republic.,Department of Neurology, St. Anne's University Hospital and Faculty of Medicine, MU, Brno, Czech Republic
| | - Tomáš Paus
- Rotman Research Institute, Baycrest, Toronto, Canada.,Departments of Psychology and Psychiatry, University of Toronto, Toronto, Canada.,Child Mind Institute, New York
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Chu SH, Lenglet C, Schreiner MW, Klimes-Dougan B, Cullen K, Parhi KK. Anatomical Biomarkers for Adolescent Major Depressive Disorder from Diffusion Weighted Imaging using SVM Classifier. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2018; 2018:2740-2743. [PMID: 30440968 DOI: 10.1109/embc.2018.8512852] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Adolescent Major Depressive Disorder (MDD) is a common and serious mental illness that could lead to tragic outcomes including chronic adult disability and suicide. In this paper, we explore anatomical features and apply machine learning approaches to identify responsive biomarkers distinguishing MDD patients from healthy subjects. The features of interest include metrics in two categories: a) anatomical connectivity defined by diffusion tensor imaging measurements between a pair of brain regions, and b) topological measurements from anatomical networks. A combination of p-value based filtering and minimum redundancy maximum relevance method is performed to select features for optimal classification accuracy. A leave-one-out cross-validation method is used for the classification performance evaluation. The proposed methodology achieves an improved accuracy of 78%, 90.39% sensitivity, and 79.66% precision for 79 subjects. The most distinguishing features are the betweenness centrality of the right lingual gyrus of the ADC network at 12% sparsity, the participation coefficient of the right lateral occipital sulcus of the ADC network at 22% sparsity, the participation coefficient of the right pars opercularis of the AD network at 16% sparsity, and the participation coefficient of the right lateral orbitofrontal cortex in the ADC network at 10% sparsity. Those network measures reflect the change of connectivity between the regions and their associated anatomical subnetworks.
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Chu SH, Lenglet C, Schreiner MW, Klimes-Dougan B, Cullen K, Parhi KK. Biomarkers for Adolescent MDD from Anatomical Connectivity and Network Topology Using Diffusion MRI. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2018; 2018:1152-1155. [PMID: 30440595 DOI: 10.1109/embc.2018.8512505] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Due to the high resistance (35%) to the current treatment methods in adolescent Major Depressive Disorder (MDD) and its tragic outcomes, the discovery of treatmentrelated responders is critical to developing effective treatments. In this paper, the permutation test is performed to identify statistically significant changes in anatomical characteristics during pairwise comparisons among the control group (n=27), treated MDD group (n=37), and untreated MDD group (n=15). The anatomical characteristics include: 1) anatomical connectivity defined using DTI metrics between a pair of brain regions, and 2) topological measurements of anatomical networks. With the Bonferroni correction for multiple-comparison, significant alterations in community structure and local topology were identified as the p-value < 5%, which include: 1) a reduced nodal centrality (degree and strength) on right hippocampus for treated compared to untreated group, 2) an elevated clustering coefficient and local efficiency on right lateral orbitofrontal cortex for untreated compared to the combination of control and treated groups, 3) an increased participation coefficient for untreated patients on left insula cortex in the meandiffusivity network compared to the combination of control and treated groups, and 4) a degraded module degree z-score on right caudate nucleus for all the patients compared to the control group. Two connections, hippocampus-insula in the right hemisphere and parahippocampal-insula in the left hemisphere, were found significantly altered in TR, AD, and FA due to MDD.
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White matter integrity in medication-free women with peripartum depression: a tract-based spatial statistics study. Neuropsychopharmacology 2018; 43:1573-1580. [PMID: 29453442 PMCID: PMC5983547 DOI: 10.1038/s41386-018-0023-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 01/05/2018] [Accepted: 01/23/2018] [Indexed: 01/03/2023]
Abstract
Diffusion tensor imaging (DTI) studies in depression show decreased structural connectivity in the left anterior limb of the internal capsule and the genu of the corpus callosum but no such studies exist in peripartum depression (PPD), which affects 1 in 8 women. We analyzed fractional anisotropy (FA) as a measure of white matter integrity of these two tracts using tract-based spatial statistics (TBSS). We then conducted an exploratory whole-brain analysis to identify additional regions implicated in PPD. Seventy-five pregnant, medication-free women were evaluated with the Edinburgh Postnatal Depression Scale (EPDS) and Structured Clinical Interview (SCID) for DSM-IV-TR in pregnancy and in the postpartum. Structural MRI and DTI sequences were acquired in forty-four women within 2-8 weeks postpartum. TBSS data were analyzed between healthy comparison postpartum women (HCW) and women who developed PPD to determine differences in white matter integrity within the left anterior limb of the internal capsule and the genu of the corpus callosum, then analyzed across participants to explore correlation between FA and the EPDS score. An exploratory whole-brain analysis was also conducted to identify other potential regions showing differences in white matter integrity between groups, as well as correlation between EPDS and FA across groups. All results were corrected for multiple comparisons and analyses conducted using FSL, p < 0.05, K > 10. In comparison to HCW, women with PPD had significantly lower FA in left anterior limb of the internal capsule (p = 0.010). FA was negatively correlated with EPDS scores in the left anterior limb of the internal capsule (p = 0.019). In the whole-brain analysis, FA in the right retrolenticular internal capsule (p = 0.03) and two clusters within the body of the corpus callosum (p = 0.044, p = 0.050) were negatively correlated with EPDS; there were no between-group differences in FA. Reduced FA in the left anterior limb of the internal capsule suggests disruption of fronto-subcortical circuits in PPD. A negative correlation between FA within the body of the corpus callosum and EPDS total score could additionally reflect disrupted interhemispheric structural connectivity in women with depressive symptoms.
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Rutten-Jacobs LC, Tozer DJ, Duering M, Malik R, Dichgans M, Markus HS, Traylor M. Genetic Study of White Matter Integrity in UK Biobank (N=8448) and the Overlap With Stroke, Depression, and Dementia. Stroke 2018; 49:1340-1347. [PMID: 29752348 PMCID: PMC5976227 DOI: 10.1161/strokeaha.118.020811] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 04/12/2018] [Accepted: 04/19/2018] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND PURPOSE Structural integrity of the white matter is a marker of cerebral small vessel disease, which is the major cause of vascular dementia and a quarter of all strokes. Genetic studies provide a way to obtain novel insights in the disease mechanism underlying cerebral small vessel disease. The aim was to identify common variants associated with microstructural integrity of the white matter and to elucidate the relationships of white matter structural integrity with stroke, major depressive disorder, and Alzheimer disease. METHODS This genome-wide association analysis included 8448 individuals from UK Biobank-a population-based cohort study that recruited individuals from across the United Kingdom between 2006 and 2010, aged 40 to 69 years. Microstructural integrity was measured as fractional anisotropy- (FA) and mean diffusivity (MD)-derived parameters on diffusion tensor images. White matter hyperintensity volumes (WMHV) were assessed on T2-weighted fluid-attenuated inversion recovery images. RESULTS We identified 1 novel locus at genome-wide significance (VCAN [versican]: rs13164785; P=3.7×10-18 for MD and rs67827860; P=1.3×10-14 for FA). LD score regression showed a significant genome-wide correlation between FA, MD, and WMHV (FA-WMHV rG 0.39 [SE, 0.15]; MD-WMHV rG 0.56 [SE, 0.19]). In polygenic risk score analysis, FA, MD, and WMHV were significantly associated with lacunar stroke, MD with major depressive disorder, and WMHV with Alzheimer disease. CONCLUSIONS Genetic variants within the VCAN gene may play a role in the mechanisms underlying microstructural integrity of the white matter in the brain measured as FA and MD. Mechanisms underlying white matter alterations are shared with cerebrovascular disease, and inherited differences in white matter microstructure impact on Alzheimer disease and major depressive disorder.
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Affiliation(s)
- Loes C.A. Rutten-Jacobs
- From the Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom (L.C.A.R.-J., D.J.T., H.S.M., M.T.),German Center for Neurodegenerative Diseases, Population Health Sciences, Bonn, Germany (L.C.A.R.-J.)
| | - Daniel J. Tozer
- From the Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom (L.C.A.R.-J., D.J.T., H.S.M., M.T.)
| | - Marco Duering
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Germany (M. Duering, R.M., M. Dichgans)
| | - Rainer Malik
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Germany (M. Duering, R.M., M. Dichgans)
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Germany (M. Duering, R.M., M. Dichgans)
| | - Hugh S. Markus
- From the Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom (L.C.A.R.-J., D.J.T., H.S.M., M.T.)
| | - Matthew Traylor
- From the Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, United Kingdom (L.C.A.R.-J., D.J.T., H.S.M., M.T.)
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Dillon DG, Gonenc A, Belleau E, Pizzagalli DA. Depression is associated with dimensional and categorical effects on white matter pathways. Depress Anxiety 2018; 35:440-447. [PMID: 29486093 PMCID: PMC5934303 DOI: 10.1002/da.22734] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2017] [Revised: 01/10/2018] [Accepted: 01/25/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diffusion tensor imaging (DTI) studies report reduced fractional anisotropy (FA) in major depressive disorder (MDD). However, whether FA covaries with key depressive symptoms, such as anhedonia, is unclear. METHODS Magnetic resonance imaging data were acquired from 38 unmedicated adults with MDD and 52 healthy controls. DTI metrics were extracted from regions of interest that have consistently shown reduced FA in MDD. Analyses focused first on identifying group differences, and then determining whether reduced FA in depressed adults was related to individual differences in anhedonia and depressive severity. To establish specificity to depression, these analyses controlled for symptoms of anxiety. RESULTS Relative to controls, depressed adults showed reduced FA in the genu of the corpus callosum, the anterior limb of the internal capsule (ALIC), the cingulum bundle near the anterior cingulate cortex, and the uncinate fasciculus (UF). In the depressed group, anhedonia negatively correlated with FA in the genu, cingulum, and UF, but positively correlated with radial diffusivity (RD)-a metric previously linked to demyelination-in the genu and ALIC. Depressive severity positively correlated with RD in the ALIC. These relationships remained significant after accounting for anxiety. CONCLUSION Anhedonia was positively correlated with reduced FA and increased RD in white matter pathways that connect regions critical for value coding, representing stimulus-reward associations, and guiding value-based action selection. Thus, a cardinal symptom of MDD-anhedonia-was lawfully related to abnormalities in reward network connectivity.
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Affiliation(s)
- Daniel G. Dillon
- Center for Depression, Anxiety and Stress Research, McLean Hospital/Harvard Medical School
| | - Atilla Gonenc
- McLean Imaging Center, McLean Hospital/Harvard Medical School
| | - Emily Belleau
- Center for Depression, Anxiety and Stress Research, McLean Hospital/Harvard Medical School
| | - Diego A. Pizzagalli
- Center for Depression, Anxiety and Stress Research, McLean Hospital/Harvard Medical School
- McLean Imaging Center, McLean Hospital/Harvard Medical School
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Association between abnormal serum myelin-specific protein levels and white matter integrity in first-episode and drug-naïve patients with major depressive disorder. J Affect Disord 2018; 232:61-68. [PMID: 29477585 DOI: 10.1016/j.jad.2018.02.044] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2017] [Revised: 12/01/2017] [Accepted: 02/15/2018] [Indexed: 11/20/2022]
Abstract
BACKGROUND Although the structural abnormalities of white matter (WM) have been described in patients with major depressive disorder (MDD), the neuropathological changes remain unclear. The current study aimed to investigate the myelin oligodendrocyte glycoprotein (MOG) and myelin-associated glycoprotein (MAG) levels and their correlations with WM integrity in first-episode, drug-naïve MDD patients. METHODS We obtained diffusion tensor images of 102 first-episode, drug-naïve MDD patients and 81 age- and sex-matched controls. Serum MOG and MAG levels of all participants were measured and compared between the two groups. The correlations between WM integrity and MOG and MAG levels were examined. RESULTS MOG and MAG serum levels were significantly higher in MDD patients than in controls. Patients with MDD also showed decreased fractional anisotropy (FA) and axial diffusivity in the WM of the bilateral thalamus, right hippocampus, right temporal lobe, and left pulvinar. At the whole-brain level, no regions showed any correlations of diffusivity parameters with MOG or MAG levels in healthy subjects. However, we observed two-way correlations between the MOG and MAG levels and the FA and mean diffusivity values in the WM of the left middle frontal lobe, right inferior parietal lobe, and right supplementary motor area in MDD patients. LIMITATIONS Further investigation with a larger sample size and longitudinal studies are required to better understand the neuropathology of WM integrity in MDD. CONCLUSIONS Our findings represent the first evidence of a relationship between abnormal serum myelin-specific protein levels and impaired WM integrity, which may help to better understand the neurobiological mechanisms of MDD.
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80
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Na KS, Won E, Kang J, Kim A, Choi S, Tae WS, Kim YK, Lee MS, Joe SH, Ham BJ. Differential effect of COMT gene methylation on the prefrontal connectivity in subjects with depression versus healthy subjects. Neuropharmacology 2018; 137:59-70. [PMID: 29723539 DOI: 10.1016/j.neuropharm.2018.04.030] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 04/12/2018] [Accepted: 04/27/2018] [Indexed: 01/09/2023]
Abstract
Expression of the catechol-O-methyl transferase (COMT) gene mainly determines prefrontal dopaminergic availability. Deficient prefrontal dopaminergic activity leads to loss of interest, energy, and motivation, which are core symptoms of depression. Given the role of stress-environmental interactions in major depressive disorder (MDD), we investigated the impact of COMT gene methylation status on prefrontal connectivity. We measured COMT gene methylation and polymorphisms (Val158Met) at the rs4468 locus in peripheral blood samples of healthy controls (n = 90) and patients with MDD (n = 90). We used diffusion tensor imaging to calculate the fractional anisotropy (FA) and radial diffusivity (RD) of the white matter tracts related to prefrontal cortex. Finally, we examined the effects of COMT gene methylation on the white matter connectivity in patients with MDD. The FA and RD values in the prefrontal white matter tracts of patients with MDD were positively and negatively associated with COMT gene methylation, respectively. In the control group, on the other hand, the association between white matter connectivity and COMT gene methylation showed opposite pattern to those of MDD. COMT gene methylation has a substantial effect on the prefrontal connectivity in patients with MDD. Moreover, COMT gene methylation and prefrontal connectivity showed opposite relationships in patients and controls. Thus, stress-related alterations in dopaminergic neurotransmission have a differential effect on white matter connectivity according to the microenvironment in the brain.
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Affiliation(s)
- Kyoung-Sae Na
- Department of Psychiatry, Gachon University Gil Medical Center, Incheon, Republic of Korea
| | - Eunsoo Won
- Department of Psychiatry, Korea University Anam Hospital, Seoul, Republic of Korea
| | - June Kang
- Department of Biomedical Science, Korea University, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Science, Korea University, Seoul, Republic of Korea
| | - Sunyoung Choi
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Yong-Ku Kim
- Department of Psychiatry, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
| | - Min-Soo Lee
- Department of Psychiatry, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Sook-Haeng Joe
- Department of Psychiatry, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Seoul, Republic of Korea; Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea.
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81
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Han KM, Choi S, Kim A, Kang J, Won E, Tae WS, Kim YK, Lee MS, Ham BJ. The effects of 5-HTTLPR and BDNF Val66Met polymorphisms on neurostructural changes in major depressive disorder. Psychiatry Res Neuroimaging 2018; 273:25-34. [PMID: 29414128 DOI: 10.1016/j.pscychresns.2018.01.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 12/07/2017] [Accepted: 01/22/2018] [Indexed: 12/18/2022]
Abstract
The serotonin-transporter-linked polymorphic region (5-HTTLPR) and brain-derived neurotrophic factor (BDNF) Val66Met polymorphism have been implicated in the pathophysiology of major depressive disorder (MDD). We aimed to investigate the effects of genetic variants of the 5-HTTLPR and BDNF Val66Met polymorphisms and their interactions with MDD on cortical volume and white matter integrity. Ninety-five patients with MDD and 65 healthy participants aged 20-65 years were recruited. The subjects were genotyped for the 5-HTTLPR and BDNF Val66Met polymorphisms and scanned with T1-weighted and diffusion tensor imaging. The gray matter volumes of 24 gyri in the prefrontal and anterior cingulate cortices and the fractional anisotropy values of nine white matter tracts in both hemispheres were determined. In the pooled sample of subjects from both groups, 5-HTTLPR L-allele carriers had significantly decreased cortical volume in the right anterior midcingulate gyrus compared to S-allele homozygotes. A significant effect of the interaction of the BDNF Val66Met polymorphism and MDD on the fractional anisotropy values of the right uncinate fasciculus was observed. Our results suggested that these genetic polymorphisms play important roles in the neurostructural changes of emotion-processing regions in subjects with MDD.
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Affiliation(s)
- Kyu-Man Han
- Department of Psychiatry, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
| | - Sunyoung Choi
- Department of Brain and Cognitive Engineering, Korea University, Seoul, Republic of Korea
| | - Aram Kim
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - June Kang
- Department of Biomedical Sciences, Korea University College of Medicine, Seoul, Republic of Korea
| | - Eunsoo Won
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Woo-Suk Tae
- Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea
| | - Yong-Ku Kim
- Department of Psychiatry, Korea University Ansan Hospital, Korea University College of Medicine, Ansan, Republic of Korea
| | - Min-Soo Lee
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Byung-Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea; Brain Convergence Research Center, Korea University Anam Hospital, Seoul, Republic of Korea.
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82
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Ota M, Noda T, Sato N, Hidese S, Teraishi T, Setoyama S, Sone D, Matsuda H, Kunugi H. The use of diffusional kurtosis imaging and neurite orientation dispersion and density imaging of the brain in major depressive disorder. J Psychiatr Res 2018; 98:22-29. [PMID: 29272758 DOI: 10.1016/j.jpsychires.2017.12.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 12/14/2017] [Accepted: 12/15/2017] [Indexed: 11/19/2022]
Abstract
Diffusional kurtosis imaging (DKI) and neurite orientation dispersion and density imaging (NODDI) are new diffusional magnetic resonance imaging (dMRI) techniques for the characterization of neural tissues in human brain. In this study, we used these dMRI techniques to evaluate the whole-brain microstructural changes in patients with major depressive disorder (MDD). Twenty-three patients with MDD and 26 healthy subjects underwent dMRI. We compared the dMRI metrics between the 2 groups and examined the relationships between the metrics and the clinical symptoms of MDD. The MDD patients showed significant fractional anisotropy reduction in the bilateral parietal, right parieto-occipital, and right superior temporal corti, compared with the controls. Mean kurtosis values were significantly reduced in MDD patients in the right superior temporal cortex and bilateral posterior thalamic radiation. Neurite density index reductions were found in the right superior temporal cortex, bilateral insulae, right inferior frontal cortex, left parahippocampal region, left middle cerebellar peduncle, and right cerebellum. Regarding the orientation dispersion index (ODI), we detected significant decreases in the left thalamus and left occipital cortex, and significant increases in the bilateral superior longitudinal fasciculi and left posterior thalamic radiation tract. Further, there were significant positive correlations between the total Hamilton Depression Rating scale-21 scores and the ODI values in the right frontal gyri. These results suggest that the DKI and NODDI methods may provide more information about microstructural abnormalities in patients with MDD than the DTI method. It is thus expected that these techniques will be adopted as the informative methods for neuroimaging study.
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Affiliation(s)
- Miho Ota
- Department of Mental Disorder Research, National Institute of Neuroscience, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan; Integrative Brain Imaging Center, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan.
| | - Takamasa Noda
- Integrative Brain Imaging Center, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan; Department of Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Noriko Sato
- Department of Radiology, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Shinsuke Hidese
- Department of Mental Disorder Research, National Institute of Neuroscience, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Toshiya Teraishi
- Department of Mental Disorder Research, National Institute of Neuroscience, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Shiori Setoyama
- Department of Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Daichi Sone
- Integrative Brain Imaging Center, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan; Department of Radiology, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Hiroshi Matsuda
- Integrative Brain Imaging Center, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Hiroshi Kunugi
- Department of Mental Disorder Research, National Institute of Neuroscience, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
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83
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Hidese S, Ota M, Matsuo J, Ishida I, Hiraishi M, Yoshida S, Noda T, Sato N, Teraishi T, Hattori K, Kunugi H. Association of obesity with cognitive function and brain structure in patients with major depressive disorder. J Affect Disord 2018; 225:188-194. [PMID: 28837952 DOI: 10.1016/j.jad.2017.08.028] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2017] [Revised: 06/14/2017] [Accepted: 08/11/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND Obesity has been implicated in the pathophysiology of major depressive disorder (MDD), which prompted us to examine the possible association of obesity with cognitive function and brain structure in patients with MDD. METHODS Three hundred and seven patients with MDD and 294 healthy participants, matched for age, sex, ethnicity (Japanese), and handedness (right) were recruited for the study. Cognitive function was assessed using the Brief Assessment of Cognition in Schizophrenia (BACS). Gray and white matter structures were analyzed using voxel-based morphometry and diffusion tensor imaging in a subsample of patients (n = 114) whose magnetic resonance imaging (MRI) data were obtained using a 1.5 T MRI system. RESULTS Verbal memory, working memory, motor speed, attention, executive function, and BACS composite scores were lower for the MDD patients than for the healthy participants (p < 0.05). Among the patient group, working memory, motor speed, executive function, and BACS composite scores were lower in obese patients (body mass index ≥ 30, n = 17) than in non-obese patients (n = 290, p < 0.05, corrected). MRI determined frontal, temporal, thalamic, and hippocampal volumes, and white matter fractional anisotropy values in the internal capsule and left optic radiation were reduced in obese patients (n = 7) compared with non-obese patients (n = 107, p < 0.05, corrected). LIMITATIONS Sample size for obese population was not very large. CONCLUSIONS Obesity is associated with decreased cognitive function, reduced gray matter volume, and impaired white matter integrity in cognition-related brain areas in patients with MDD.
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Affiliation(s)
- Shinsuke Hidese
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan; Department of NCNP Brain Physiology and Pathology, Division of Cognitive and Behavioral Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8519, Japan
| | - Miho Ota
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Junko Matsuo
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Ikki Ishida
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Moeko Hiraishi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Sumiko Yoshida
- Department of Psychiatry, National Center Hospital, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan
| | - Takamasa Noda
- Department of Psychiatry, National Center Hospital, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan
| | - Noriko Sato
- Department of Radiology, National Center Hospital, National Center of Neurology and Psychiatry, 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8551, Japan
| | - Toshiya Teraishi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Kotaro Hattori
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan
| | - Hiroshi Kunugi
- Department of Mental Disorder Research, National Institute of Neuroscience, National Center of Neurology and Psychiatry (NCNP), 4-1-1, Ogawa-Higashi, Kodaira, Tokyo 187-8502, Japan; Department of NCNP Brain Physiology and Pathology, Division of Cognitive and Behavioral Medicine, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8519, Japan.
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84
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Helm K, Viol K, Weiger TM, Tass PA, Grefkes C, Del Monte D, Schiepek G. Neuronal connectivity in major depressive disorder: a systematic review. Neuropsychiatr Dis Treat 2018; 14:2715-2737. [PMID: 30425491 PMCID: PMC6200438 DOI: 10.2147/ndt.s170989] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The causes of major depressive disorder (MDD), as one of the most common psychiatric disorders, still remain unclear. Neuroimaging has substantially contributed to understanding the putative neuronal mechanisms underlying depressed mood and motivational as well as cognitive impairments in depressed individuals. In particular, analyses addressing changes in interregional connectivity seem to be a promising approach to capture the effects of MDD at a systems level. However, a plethora of different, sometimes contradicting results have been published so far, making general conclusions difficult. Here we provide a systematic overview about connectivity studies published in the field over the last decade considering different methodological as well as clinical issues. METHODS A systematic review was conducted extracting neuronal connectivity results from studies published between 2002 and 2015. The findings were summarized in tables and were graphically visualized. RESULTS The review supports and summarizes the notion of an altered frontolimbic mood regulation circuitry in MDD patients, but also stresses the heterogeneity of the findings. The brain regions that are most consistently affected across studies are the orbitomedial prefrontal cortex, anterior cingulate cortex, amygdala, hippocampus, cerebellum and the basal ganglia. CONCLUSION The results on connectivity in MDD are very heterogeneous, partly due to different methods and study designs, but also due to the temporal dynamics of connectivity. While connectivity research is an important step toward a complex systems approach to brain functioning, future research should focus on the dynamics of functional and effective connectivity.
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Affiliation(s)
- Katharina Helm
- Institute of Physiology and Pathophysiology, Paracelsus Medical University Salzburg, Salzburg, Austria.,Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Kathrin Viol
- Institute of Synergetics and Psychotherapy Research, University Hospital for Psychiatry, Psychotherapy and Psychosomatics, Paracelsus Medical University Salzburg, Salzburg, Austria,
| | - Thomas M Weiger
- Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Peter A Tass
- Department of Neurosurgery, Stanford University, Stanford CA, USA
| | - Christian Grefkes
- Department of Neurology, Cologne University Hospital, Cologne, Germany.,Institute of Medicine and Neurosciences - Cognitive Neurology (INM-3), Research Center Juelich, Juelich, Germany
| | - Damir Del Monte
- Institute of Synergetics and Psychotherapy Research, University Hospital for Psychiatry, Psychotherapy and Psychosomatics, Paracelsus Medical University Salzburg, Salzburg, Austria,
| | - Günter Schiepek
- Institute of Synergetics and Psychotherapy Research, University Hospital for Psychiatry, Psychotherapy and Psychosomatics, Paracelsus Medical University Salzburg, Salzburg, Austria, .,Ludwig Maximilians University, Department for Psychology, Munich, Germany,
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85
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Kavanaugh B, Correia S, Jones J, Blum A, LaFrance WC, Davis JD. White matter integrity correlates with depressive symptomatology in temporal lobe epilepsy. Epilepsy Behav 2017; 77:99-105. [PMID: 29046235 DOI: 10.1016/j.yebeh.2017.07.035] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2016] [Revised: 07/18/2017] [Accepted: 07/19/2017] [Indexed: 01/22/2023]
Abstract
RATIONALE White matter abnormalities occur in both temporal lobe epilepsy (TLE) and depression, but there is limited research examining the depression-white matter association in depressed individuals with TLE. This study examined the relationship between white matter integrity (WMI) and depression including the influence of age at seizure onset, in adults with TLE, TLE and depression, and depression only. METHODS Thirty-one adults were in one of three groups: TLE without depression (TLE; n=11), TLE with depression (TLE+DEP; n=9), and depression without TLE (DEP; n=11). Participants completed structured interviews for depression diagnosis and severity. White matter integrity was estimated based on fractional anisotropy (FA) calculated in frontotemporolimbic (FTL) and non-FTL regions in the JHU DTI atlas. RESULTS In adults with TLE (n=20), depressive symptomology was significantly correlated with FA in non-FTL regions and trended toward significance in FTL regions. These associations were found in FTL (statistically significant) and non-FTL (trended toward significance) regions in participants with childhood seizure onset but not in those with adolescent/adult seizure onset. CONCLUSIONS Current results suggest that WMI, within FTL and non-FTL regions, are associated with depressive symptomology in adults with TLE. This association may be most notable in those with childhood-onset epilepsy. These findings could have important implications for the conceptualization and clinical care of neuropsychiatric comorbidities in TLE.
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Affiliation(s)
- Brian Kavanaugh
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, USA; E. P. Bradley Hospital, USA.
| | - Stephen Correia
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, USA; Providence VA Medical Center, USA
| | - Jacob Jones
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, USA; Providence VA Medical Center, USA
| | - Andrew Blum
- Rhode Island Hospital, USA; Department of Neurology, Alpert Medical School of Brown University, USA
| | - W C LaFrance
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, USA; Rhode Island Hospital, USA; Department of Neurology, Alpert Medical School of Brown University, USA
| | - Jennifer Duncan Davis
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, USA; Rhode Island Hospital, USA
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86
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Rizk MM, Rubin-Falcone H, Keilp J, Miller JM, Sublette ME, Burke A, Oquendo MA, Kamal AM, Abdelhameed MA, Mann JJ. White matter correlates of impaired attention control in major depressive disorder and healthy volunteers. J Affect Disord 2017; 222:103-111. [PMID: 28688263 PMCID: PMC5659839 DOI: 10.1016/j.jad.2017.06.066] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2017] [Revised: 06/02/2017] [Accepted: 06/26/2017] [Indexed: 12/12/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is associated with impaired attention control and alterations in frontal-subcortical connectivity. We hypothesized that attention control as assessed by Stroop task interference depends on white matter integrity in fronto-cingulate regions and assessed this relationship using diffusion tensor imaging (DTI) in MDD and healthy volunteers (HV). METHODS DTI images and Stroop task were acquired in 29 unmedicated MDD patients and 16 HVs, aged 18-65 years. The relationship between Stroop interference and fractional anisotropy (FA) was examined using region-of-interest (ROI) and tract-based spatial statistics (TBSS) analyses. RESULTS ROI analysis revealed that Stroop interference correlated positively with FA in left caudal anterior cingulate cortex (cACC) in HVs (r = 0.62, p = 0.01), but not in MDD (r = -0.05, p= 0.79) even after controlling for depression severity. The left cACC was among 4 ROIs in fronto-cingulate network where FA was lower in MDD relative to HVs (F(1,41) = 8.87, p = 0.005). Additionally, TBSS showed the same group interaction of differences and correlations, although only at a statistical trend level. LIMITATIONS The modest sample size limits the generalizability of the findings. CONCLUSIONS Structural connectivity of white matter network of cACC correlated with magnitude of Stroop interference in HVs, but not MDD. The cACC-frontal network, sub-serving attention control, may be disrupted in MDD. Less cognitive control may include enhanced effects of salience in HVs, or less effective response inhibition in MDD. Further studies of salience and inhibition components of executive function may better elucidate the relationship between brain white matter changes and executive dysfunction in MDD.
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Affiliation(s)
- Mina M Rizk
- Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States; Department of Psychiatry, Faculty of Medicine, Minia University, Egypt.
| | - Harry Rubin-Falcone
- Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - John Keilp
- Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - Jeffrey M Miller
- Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - M Elizabeth Sublette
- Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - Ainsley Burke
- Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States
| | - Maria A Oquendo
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Ahmed M Kamal
- Department of Psychiatry, Faculty of Medicine, Minia University, Egypt
| | | | - J John Mann
- Molecular Imaging and Neuropathology Division, New York State Psychiatric Institute, New York, NY, United States; Department of Psychiatry, Columbia University, New York, NY, United States; Department of Radiology, Columbia University, New York, NY, United States
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87
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Nickel A, Thomalla G. Post-Stroke Depression: Impact of Lesion Location and Methodological Limitations-A Topical Review. Front Neurol 2017; 8:498. [PMID: 28983281 PMCID: PMC5613107 DOI: 10.3389/fneur.2017.00498] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Accepted: 09/05/2017] [Indexed: 01/30/2023] Open
Abstract
Post-stroke depression (PSD) affects approximately one-third of all stroke patients. It hinders rehabilitation and is associated with worse functional outcome and increased mortality. Since the identification of PSD is a significant clinical problem, clinicians and researchers have tried to identify predictors that indicate patients at risk of developing PSD. This also includes the research question whether there is an association between PSD and stroke lesion characteristics, e.g., lesion size and lesion location. Early studies addressing this question are largely limited by technical constraints and, thus, focused on simple lesion characteristics such as lesion side or proximity of the lesion to the frontal pole of the brain. More recent studies have addressed the impact of involvement of specific neuronal circuits in the stroke lesion. State-of-the-art methods of lesion symptom mapping to study PSD have only been applied to small patient samples. Overall, results are controversial and no clear pattern of stroke lesions associated with PSD has emerged, though there are findings suggesting that more frontal stroke lesions are associated with higher incidence of PSD. Available studies are hampered by methodological limitations, including drawbacks of lesion analysis methods, small sample size, and the issue of patient selection. These limitations together with differences in approaches to assess PSD and in methods of image analysis limit the comparability of results from different studies. To summarize, as of today no definite association between lesion location and PSD can be ascertained and the understanding of PSD rests incomplete. Further insights are expected from the use of modern lesion inference analysis methods in larger patient samples taking into account standardized assessment of possible confounding parameters, such as stroke treatment and reperfusion status.
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Affiliation(s)
- Alina Nickel
- Department of Neurology, Head and Neurocenter, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, Head and Neurocenter, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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88
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Choi MH, Na JE, Yoon YR, Lee HJ, Yoon S, Rhyu IJ, Baik JH. Role of Dopamine D2 Receptor in Stress-Induced Myelin Loss. Sci Rep 2017; 7:11654. [PMID: 28912499 PMCID: PMC5599541 DOI: 10.1038/s41598-017-10173-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 08/04/2017] [Indexed: 12/24/2022] Open
Abstract
Dopaminergic systems play a major role in reward-related behavior and dysregulation of dopamine (DA) systems can cause several mental disorders, including depression. We previously reported that dopamine D2 receptor knockout (D2R-/-) mice display increased anxiety and depression-like behaviors upon chronic stress. Here, we observed that chronic stress caused myelin loss in wild-type (WT) mice, while the myelin level in D2R-/- mice, which was already lower than that in WT mice, was not affected upon stress. Fewer mature oligodendrocytes (OLs) were observed in the corpus callosum of stressed WT mice, while in D2R-/- mice, both the control and stressed group displayed a decrease in the number of mature OLs. We observed a decrease in the number of active β-catenin (ABC)-expressing and TCF4-expressing cells among OL lineage cells in the corpus callosum of stressed WT mice, while such regulation was not found in D2R-/- mice. Administration of lithium normalized the behavioral impairments and myelin damage induced by chronic stress in WT mice, and restored the number of ABC-positive and TCF4-positive OLs, while such effect was not found in D2R-/- mice. Together, our findings indicate that chronic stress induces myelin loss through the Wnt/β-catenin signaling pathway in association with DA signaling through D2R.
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Affiliation(s)
- Mi-Hyun Choi
- Molecular Neurobiology Laboratory, Department of Life Sciences, Korea University, Seoul, 02841, Korea
| | - Ji Eun Na
- Department of Anatomy, College of Medicine, Korea University, Seoul, 02841, Korea
| | - Ye Ran Yoon
- Molecular Neurobiology Laboratory, Department of Life Sciences, Korea University, Seoul, 02841, Korea
| | - Hyo Jin Lee
- Molecular Neurobiology Laboratory, Department of Life Sciences, Korea University, Seoul, 02841, Korea
| | - Sehyoun Yoon
- Molecular Neurobiology Laboratory, Department of Life Sciences, Korea University, Seoul, 02841, Korea
| | - Im Joo Rhyu
- Department of Anatomy, College of Medicine, Korea University, Seoul, 02841, Korea
| | - Ja-Hyun Baik
- Molecular Neurobiology Laboratory, Department of Life Sciences, Korea University, Seoul, 02841, Korea.
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89
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Shen X, Reus LM, Cox SR, Adams MJ, Liewald DC, Bastin ME, Smith DJ, Deary IJ, Whalley HC, McIntosh AM. Subcortical volume and white matter integrity abnormalities in major depressive disorder: findings from UK Biobank imaging data. Sci Rep 2017; 7:5547. [PMID: 28717197 PMCID: PMC5514104 DOI: 10.1038/s41598-017-05507-6] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 05/30/2017] [Indexed: 01/18/2023] Open
Abstract
Previous reports of altered grey and white matter structure in Major Depressive Disorder (MDD) have been inconsistent. Recent meta-analyses have, however, reported reduced hippocampal grey matter volume in MDD and reduced white matter integrity in several brain regions. The use of different diagnostic criteria, scanners and imaging sequences may, however, obscure further anatomical differences. In this study, we tested for differences in subcortical grey matter volume (n = 1157) and white matter integrity (n = 1089) between depressed individuals and controls in the subset of 8590 UK Biobank Imaging study participants who had undergone depression assessments. Whilst we found no significant differences in subcortical volumes, significant reductions were found in depressed individuals versus controls in global white matter integrity, as measured by fractional anisotropy (FA) (β = −0.182, p = 0.005). We also found reductions in FA in association/commissural fibres (β = −0.184, pcorrected = 0.010) and thalamic radiations (β = −0.159, pcorrected = 0.020). Tract-specific FA reductions were also found in the left superior longitudinal fasciculus (β = −0.194, pcorrected = 0.025), superior thalamic radiation (β = −0.224, pcorrected = 0.009) and forceps major (β = −0.193, pcorrected = 0.025) in depression (all betas standardised). Our findings provide further evidence for disrupted white matter integrity in MDD.
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Affiliation(s)
- Xueyi Shen
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.
| | - Lianne M Reus
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom.,Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - David C Liewald
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E Bastin
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
| | - Daniel J Smith
- Institute of Health and Wellbeing, Mental Health and Wellbeing Research Group, University of Glasgow, Glasgow, United Kingdom
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom.,Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Heather C Whalley
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom
| | - Andrew M McIntosh
- Division of Psychiatry, University of Edinburgh, Edinburgh, United Kingdom.,Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, United Kingdom
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90
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Schnyer DM, Clasen PC, Gonzalez C, Beevers CG. Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder. Psychiatry Res Neuroimaging 2017; 264:1-9. [PMID: 28388468 PMCID: PMC5486995 DOI: 10.1016/j.pscychresns.2017.03.003] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Revised: 11/02/2016] [Accepted: 03/08/2017] [Indexed: 02/07/2023]
Abstract
Using MRI to diagnose mental disorders has been a long-term goal. Despite this, the vast majority of prior neuroimaging work has been descriptive rather than predictive. The current study applies support vector machine (SVM) learning to MRI measures of brain white matter to classify adults with Major Depressive Disorder (MDD) and healthy controls. In a precisely matched group of individuals with MDD (n =25) and healthy controls (n =25), SVM learning accurately (74%) classified patients and controls across a brain map of white matter fractional anisotropy values (FA). The study revealed three main findings: 1) SVM applied to DTI derived FA maps can accurately classify MDD vs. healthy controls; 2) prediction is strongest when only right hemisphere white matter is examined; and 3) removing FA values from a region identified by univariate contrast as significantly different between MDD and healthy controls does not change the SVM accuracy. These results indicate that SVM learning applied to neuroimaging data can classify the presence versus absence of MDD and that predictive information is distributed across brain networks rather than being highly localized. Finally, MDD group differences revealed through typical univariate contrasts do not necessarily reveal patterns that provide accurate predictive information.
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Affiliation(s)
- David M Schnyer
- Department of Psychology, University of Texas at Austin, Austin, TX, USA.
| | - Peter C Clasen
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Christopher Gonzalez
- Department of Psychology, University of California, San Diego, San Diego, CA, USA
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91
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Intrinsic disruption of white matter microarchitecture in first-episode, drug-naive major depressive disorder: A voxel-based meta-analysis of diffusion tensor imaging. Prog Neuropsychopharmacol Biol Psychiatry 2017; 76:179-187. [PMID: 28336497 DOI: 10.1016/j.pnpbp.2017.03.011] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 03/19/2017] [Indexed: 02/05/2023]
Abstract
Previous studies have demonstrated the influences of episodes and antidepressant drugs on white matter (WM) in patients with major depressive disorder (MDD). However, most diffusion tensor imaging (DTI) studies included highly heterogeneous individuals with different numbers of depressive episodes or medication status. To exclude the confounding effects of multiple episodes or medication, we conducted a quantitative voxel-based meta-analysis of fractional anisotropy (FA) in patients with first-episode, drug-naive MDD to identify the intrinsic WM alterations involved in the pathogenesis of MDD. The pooled meta-analysis revealed significant FA reductions in the body of the corpus callosum (CC), bilateral anterior limb of the internal capsule (ALIC), right inferior temporal gyrus (ITG) and right superior frontal gyrus (SFG) in MDD patients relative to healthy controls. Meta-regression analyses revealed that FA reduction in the right ALIC and right SFG was negatively correlated with symptom severity and duration of depression, respectively. Our findings provide robust evidence that the WM impairments in the interhemispheric connections and frontal-subcortical neuronal circuits may play an important role in MDD pathogenesis.
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92
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A Comparison of Neuroimaging Abnormalities in Multiple Sclerosis, Major Depression and Chronic Fatigue Syndrome (Myalgic Encephalomyelitis): is There a Common Cause? Mol Neurobiol 2017; 55:3592-3609. [PMID: 28516431 PMCID: PMC5842501 DOI: 10.1007/s12035-017-0598-z] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 05/03/2017] [Indexed: 01/23/2023]
Abstract
There is copious evidence of abnormalities in resting-state functional network connectivity states, grey and white matter pathology and impaired cerebral perfusion in patients afforded a diagnosis of multiple sclerosis, major depression or chronic fatigue syndrome (CFS) (myalgic encephalomyelitis). Systemic inflammation may well be a major element explaining such findings. Inter-patient and inter-illness variations in neuroimaging findings may arise at least in part from regional genetic, epigenetic and environmental variations in the functions of microglia and astrocytes. Regional differences in neuronal resistance to oxidative and inflammatory insults and in the performance of antioxidant defences in the central nervous system may also play a role. Importantly, replicated experimental findings suggest that the use of high-resolution SPECT imaging may have the capacity to differentiate patients afforded a diagnosis of CFS from those with a diagnosis of depression. Further research involving this form of neuroimaging appears warranted in an attempt to overcome the problem of aetiologically heterogeneous cohorts which probably explain conflicting findings produced by investigative teams active in this field. However, the ionising radiation and relative lack of sensitivity involved probably preclude its use as a routine diagnostic tool.
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93
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Hou Z, Song X, Jiang W, Yue Y, Yin Y, Zhang Y, Liu Y, Yuan Y. Prognostic value of imbalanced interhemispheric functional coordination in early therapeutic efficacy in major depressive disorder. Psychiatry Res Neuroimaging 2016; 255:1-8. [PMID: 27497214 DOI: 10.1016/j.pscychresns.2016.07.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Revised: 06/06/2016] [Accepted: 07/27/2016] [Indexed: 12/11/2022]
Abstract
This study aims to explore the early response of antidepressant therapy by measuring the voxel-mirrored homotopic connectivity (VMHC) in major depressive disorder (MDD). Eighty-two MDD patients [n=42 treatment-responsive depression (RD) and n=40 non-responding depression (NRD)] and n=50 normal controls (NC) underwent clinical measures and a magnetic resonance imaging scan, and the VMHC values were calculated. Receiver operating characteristic (ROC) curve analysis was applied to determine the capability of altered VMHC to distinguish NRD. The NRD showed significantly decreased VMHC in bilateral precuneus (PCU) and inferior temporal gyrus (ITG), and increased VMHC in middle frontal gyrus (MFG) and caudate nucleus as compared to RD. When compared with NC, the NRD exhibited reduced VMHC in bilateral cerebellum anterior lobe, thalamus and postcentral gyrus. Moreover, VHMC in medial frontal gyrus, postcentral gyrus and precentral gyrus were significantly decreased in RD. Correlation analysis showed that reduced VMHC in PCU was negatively correlated with the baseline HAMD score of the NRD group. The ROC curve indicated that the combined changes of the three regional VMHC (PCU, ITG and MFG) could effectively identify NRD. The current study suggests that interhemispheric asynchrony may represents a novel neural trait underlying the prediction of early therapeutic outcome in MDD.
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Affiliation(s)
- Zhenghua Hou
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Xiaopeng Song
- Department of Biomedical Engineering, College of Engineering, Peking University, Beijing 100871, China
| | - Wenhao Jiang
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yingying Yue
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yingying Yin
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yuqun Zhang
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China
| | - Yijun Liu
- Faculty of Psychology, Southwest University, Chongqing 400715, China; Key Laboratory of Cognition and Personality, Southwest University, Chongqing 400715, China
| | - Yonggui Yuan
- Department of Psychosomatics and Psychiatry, Zhongda Hospital, Medical School of Southeast University, Nanjing 210009, China.
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94
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Abstract
Previous studies have demonstrated that patients with posttraumatic stress disorder (PTSD) caused by different types of trauma may show divergence in epidemiology, clinical manifestation and treatment outcome. However, it is still unclear whether this divergence has neuroanatomic correlates in PTSD brains. To elucidate the general and trauma-specific cortical morphometric alterations, we performed a meta-analysis of grey matter (GM) changes in PTSD (N = 246) with different traumas and trauma-exposed controls (TECs, N = 347) using anisotropic effect-size signed differential mapping and its subgroup analysis. Our results revealed general GM reduction (GMR) foci in the prefrontal-limbic-striatal system of PTSD brains when compared with those of TECs. Notably, the GMR patterns were trauma-specific. For PTSD by single-incident traumas, GMR foci were found in bilateral medial prefrontal cortex (mPFC), anterior cingulate cortex (ACC), insula, striatum, left hippocampus and amygdala; and for PTSD by prolonged traumas in the left insula, striatum, amygdala and middle temporal gyrus. Moreover, Clinician-Administered PTSD Scale scores were found to be negatively associated with the GM changes in bilateral ACC and mPFC. Our study indicates that the GMR patterns of PTSD are associated with specific traumas, suggesting a stratified diagnosis and treatment for PTSD patients.
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95
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Liu W, Yang J, Burgunder J, Cheng B, Shang H. Diffusion imaging studies of Huntington's disease: A meta-analysis. Parkinsonism Relat Disord 2016; 32:94-101. [PMID: 27624391 DOI: 10.1016/j.parkreldis.2016.09.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 08/21/2016] [Accepted: 09/05/2016] [Indexed: 02/05/2023]
Abstract
BACKGROUND Diffusion tensor imaging (DTI) could detect abnormal brain microstructural alterations. DTI studies of Huntington's Disease(HD) have yielded inconsistent results. OBJECTIVE To integrate the existing DTI studies of HD and explore the validity of DTI to detect microstructural damages in HD brain via meta-analysis. METHODS Systematic and comprehensive searches of the databases were performed for DTI studies of HD. The data from the studies that met our inclusion criteria were extracted and analyzed using the CMA2 software. Random effect models were utilized to minimize the potential between-study heterogeneity. One-way sensitivity analysis was conducted to test the robustness of the results. RESULTS The meta-analysis included 140 pre-symptomatic HD (PreHD), 235 symptomatic HD (SymHD) patients and 302 controls, revealing significantly increased fractional anisotropy (FA) in the caudate, putamen, and globus pallidus, while decreased FA in the corpus callosum of both PreHD and SymHD patients compared with controls. In addition, significantly increased mean diffusivity (MD) was identified in the putamen and thalamus of both PreHD and SymHD patients, and in the caudate of SymHD patients, while no significant difference in MD in the caudate of PreHD patients. In the corpus callosum, there was a significant increase of radial diffusivity and axial diffusivity in SymHD patients compared with controls. Meta-regression showed gender-based difference in MD values of the caudate. CONCLUSIONS Our meta-analysis provides further evidence that DTI detects microstructural damage of both white matter and gray matter even in PreHD gene carriers. MD is less sensitive than FA in detecting structural changes in PreHD.
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Affiliation(s)
- Wanglin Liu
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jing Yang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | | | - Bochao Cheng
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Huifang Shang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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