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Hu X, Cheng B, Tang Y, Long T, Huang Y, Li P, Song Y, Song X, Li K, Yin Y, Chen X. Gray matter volume and corresponding covariance connectivity are biomarkers for major depressive disorder. Brain Res 2024; 1837:148986. [PMID: 38714227 DOI: 10.1016/j.brainres.2024.148986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 04/06/2024] [Accepted: 05/04/2024] [Indexed: 05/09/2024]
Abstract
The major depressive disorder (MDD) is a common and severe mental disorder. To identify a reliable biomarker for MDD is important for early diagnosis and prevention. Given easy access and high reproducibility, the structural magnetic resonance imaging (sMRI) is an ideal method to identify the biomarker for depression. In this study, sMRI data of first episode, treatment-naïve 66 MDD patients and 54 sex-, age-, and education-matched healthy controls (HC) were used to identify the differences in gray matter volume (GMV), group-level, individual-level covariance connections. Finally, the abnormal GMV and individual covariance connections were applied to classify MDD from HC. MDD patients showed higher GMV in middle occipital gyrus (MOG) and precuneus (PCun), and higher structural covariance connections between MOG and PCun. In addition, the Allen Human Brain Atlas (AHBA) was applied and revealed the genetic basis for the changes of gray matter volume. Importantly, we reported that GMV in MOG, PCun and structural covariance connectivity between MOG and PCun are able to discriminate MDD from HC. Our results revealed structural underpinnings for MDD, which may contribute towards early discriminating for depression.
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Affiliation(s)
- Xiao Hu
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu 610041, China
| | - Bochao Cheng
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China; Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yuying Tang
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Tong Long
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yan Huang
- Department of Rehabilitation Medicine, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Pei Li
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Yu Song
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Xiyang Song
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China
| | - Kun Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yijie Yin
- School of Sociality and Psychology, Southwest Minzu University, Chengdu 610041, China
| | - Xijian Chen
- Department of Radiology, West China Second University Hospital, Sichuan University, Chengdu 610041, China.
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Saccaro LF, Tassone M, Tozzi F, Rutigliano G. Proton magnetic resonance spectroscopy of N-acetyl aspartate in first depressive episode and chronic major depressive disorder: A systematic review and meta-analysis. J Affect Disord 2024; 355:265-282. [PMID: 38554884 DOI: 10.1016/j.jad.2024.03.150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 03/20/2024] [Accepted: 03/25/2024] [Indexed: 04/02/2024]
Abstract
N-acetyl aspartate (NAA) is a marker of neuronal integrity and metabolism. Deficiency in neuronal plasticity and hypometabolism are implicated in Major Depressive Disorder (MDD) pathophysiology. To test if cerebral NAA concentrations decrease progressively over the MDD course, we conducted a pre-registered meta-analysis of Proton Magnetic Resonance Spectroscopy (1H-MRS) studies comparing NAA concentrations in chronic MDD (n = 1308) and first episode of depression (n = 242) patients to healthy controls (HC, n = 1242). Sixty-two studies were meta-analyzed using a random-effect model for each brain region. NAA concentrations were significantly reduced in chronic MDD compared to HC within the frontal lobe (Hedges' g = -0.330; p = 0.018), the occipital lobe (Hedges' g = -0.677; p = 0.007), thalamus (Hedges' g = -0.673; p = 0.016), and frontal (Hedges' g = -0.471; p = 0.034) and periventricular white matter (Hedges' g = -0.478; p = 0.047). We highlighted a gap of knowledge regarding NAA levels in first episode of depression patients. Sensitivity analyses indicated that antidepressant treatment may reverse NAA alterations in the frontal lobe. We highlighted field strength and correction for voxel grey matter as moderators of NAA levels detection. Future studies should assess NAA alterations in the early stages of the illness and their longitudinal progression.
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Affiliation(s)
- Luigi F Saccaro
- Department of Psychiatry, Faculty of Medicine, University of Geneva, Campus Biotech, 9 Chemin des Mines, 1202 Geneva, Switzerland; Department of Psychiatry, Geneva University Hospital, 1205 Geneva, Switzerland.
| | - Matteo Tassone
- Department of Pathology, University of Pisa, via Savi 10, 56126 Pisa, Italy
| | - Francesca Tozzi
- Bio@SNS laboratory, Scuola Normale Superiore, 56124 Pisa, Italy
| | - Grazia Rutigliano
- Department of Pathology, University of Pisa, via Savi 10, 56126 Pisa, Italy; Institute of Clinical Sciences, Imperial College London, MRI Steiner Unit, Hammersmith Hospital Campus, Du Cane Road, W12 0NN London, United Kingdom of Great Britain and Northern Ireland
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Poggi G, Klaus F, Pryce CR. Pathophysiology in cortico-amygdala circuits and excessive aversion processing: the role of oligodendrocytes and myelination. Brain Commun 2024; 6:fcae140. [PMID: 38712320 PMCID: PMC11073757 DOI: 10.1093/braincomms/fcae140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/27/2023] [Accepted: 04/16/2024] [Indexed: 05/08/2024] Open
Abstract
Stress-related psychiatric illnesses, such as major depressive disorder, anxiety and post-traumatic stress disorder, present with alterations in emotional processing, including excessive processing of negative/aversive stimuli and events. The bidirectional human/primate brain circuit comprising anterior cingulate cortex and amygdala is of fundamental importance in processing emotional stimuli, and in rodents the medial prefrontal cortex-amygdala circuit is to some extent analogous in structure and function. Here, we assess the comparative evidence for: (i) Anterior cingulate/medial prefrontal cortex<->amygdala bidirectional neural circuits as major contributors to aversive stimulus processing; (ii) Structural and functional changes in anterior cingulate cortex<->amygdala circuit associated with excessive aversion processing in stress-related neuropsychiatric disorders, and in medial prefrontal cortex<->amygdala circuit in rodent models of chronic stress-induced increased aversion reactivity; and (iii) Altered status of oligodendrocytes and their oligodendrocyte lineage cells and myelination in anterior cingulate/medial prefrontal cortex<->amygdala circuits in stress-related neuropsychiatric disorders and stress models. The comparative evidence from humans and rodents is that their respective anterior cingulate/medial prefrontal cortex<->amygdala circuits are integral to adaptive aversion processing. However, at the sub-regional level, the anterior cingulate/medial prefrontal cortex structure-function analogy is incomplete, and differences as well as similarities need to be taken into account. Structure-function imaging studies demonstrate that these neural circuits are altered in both human stress-related neuropsychiatric disorders and rodent models of stress-induced increased aversion processing. In both cases, the changes include altered white matter integrity, albeit the current evidence indicates that this is decreased in humans and increased in rodent models. At the cellular-molecular level, in both humans and rodents, the current evidence is that stress disorders do present with changes in oligodendrocyte lineage, oligodendrocytes and/or myelin in these neural circuits, but these changes are often discordant between and even within species. Nonetheless, by integrating the current comparative evidence, this review provides a timely insight into this field and should function to inform future studies-human, monkey and rodent-to ascertain whether or not the oligodendrocyte lineage and myelination are causally involved in the pathophysiology of stress-related neuropsychiatric disorders.
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Affiliation(s)
- Giulia Poggi
- Preclinical Laboratory for Translational Research into Affective Disorders, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, CH-8008 Zurich, Switzerland
| | - Federica Klaus
- Department of Psychiatry, University of California San Diego, San Diego, CA 92093, USA
- Desert-Pacific Mental Illness Research Education and Clinical Center, VA San Diego Healthcare System, San Diego, CA 92093, USA
| | - Christopher R Pryce
- Preclinical Laboratory for Translational Research into Affective Disorders, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, CH-8008 Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland
- URPP Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, 8057 Zurich, Switzerland
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Videtta G, Squarcina L, Prunas C, Brambilla P, Delvecchio G. White matter integrity and medication response to antidepressants in major depressive disorder: a review of the literature. Front Psychiatry 2024; 14:1335706. [PMID: 38361831 PMCID: PMC10867229 DOI: 10.3389/fpsyt.2023.1335706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 12/27/2023] [Indexed: 02/17/2024] Open
Abstract
Major Depressive Disorder (MDD) is a severe psychiatric disorder characterized by selective impairments in mood regulation, cognition and behavior. Although it is well-known that antidepressants can effectively treat moderate to severe depression, the biochemical effects of these medications on white matter (WM) integrity are still unclear. Therefore, the aim of the study is to review the main scientific evidence on the differences in WM integrity in responders and non-responders to antidepressant medications. A record search was performed on three datasets (PubMed, Scopus and Web of Science) and ten records matched our inclusion criteria. Overall, the reviewed studies highlighted a good efficacy of antidepressants in MDD treatment. Furthermore, there were differences in WM integrity between responders and non-responders, mainly localized in cingulate cortices, hippocampus and corpus callosum, where the former group showed higher fractional anisotropy and lower axial diffusivity values. Modifications in WM integrity might be partially explained by branching and proliferation as well as neurogenesis of axonal fibers mediated by antidepressants, which in turn may have positively affected brain metabolism and increase the quantity of the serotonergic neurotransmitter within synaptic clefts. However, the reviewed studies suffer from some limitations, including the heterogeneity in treatment duration, antidepressant administration, medical posology, and psychiatric comorbidities. Therefore, future studies are needed to reduce confounding effects of antidepressant medications and to adopt longitudinal and multimodal approaches in order to better characterize the differences in WM integrity between responders and non-responders.
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Affiliation(s)
- Giovanni Videtta
- Department of Biomedical Sciences for Health, University of Milan, Milan, Italy
| | - Letizia Squarcina
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Cecilia Prunas
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Paolo Brambilla
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, Italy
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Izuno S, Yoshihara K, Hosoi M, Eto S, Hirabayashi N, Todani T, Gondo M, Hayaki C, Anno K, Hiwatashi A, Sudo N. Psychological characteristics associated with the brain volume of patients with fibromyalgia. Biopsychosoc Med 2023; 17:36. [PMID: 37875931 PMCID: PMC10594713 DOI: 10.1186/s13030-023-00293-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 10/16/2023] [Indexed: 10/26/2023] Open
Abstract
Fibromyalgia (FM) is a disease characterized by chronic widespread pain concomitant with psychiatric symptoms such as anxiety and depression. It has been reported that FM patients engage in pain catastrophizing. In this study, we investigated characteristics of the brain volume of female FM patients and the association between psychological indices and brain volume. Thirty-nine female FM patients and 25 female healthy controls (HCs) were recruited for the study, and five FM patients were excluded due to white matter lesions. The following analyses were performed: (1) T1-weighted MRI were acquired for 34 FM patients (age 41.6 ± 7.4) and 25 HCs (age 39.5 ± 7.4). SPM12 was used to compare their gray and white matter volumes. (2) Data from anxiety and depression questionnaires (State-Trait Anxiety Inventory and Hospital Anxiety and Depression Scale), the Pain Catastrophizing Scale (subscales rumination, helplessness, magnification), and MRI were acquired for 34 FM patients (age 41.6 ± 7.4). Correlation analysis was done of the psychological indices and brain volume. We found that (1) The white matter volume of the temporal pole was larger in the FM patient group than in the HC group. (2) Correlation analysis of the psychological indices and gray matter volume showed a negative correlation between trait anxiety and the amygdala. For the white matter volume, positive correlations were found between depression and the brainstem and between magnification and the postcentral gyrus. Changes in the brain volume of female FM patients may be related to anxiety, depression, and pain catastrophizing.
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Grants
- JP16K15414 Ministry of Education, Culture, Sports, Science and Technology
- JP19H03752 Ministry of Education, Culture, Sports, Science and Technology
- JP20K03417 Ministry of Education, Culture, Sports, Science and Technology
- JP19FG2001 Ministry of Health, Labour and Welfare
- JP20FC1056 Ministry of Health, Labour and Welfare
- JP19ek0610015h0003 Japan Agency for Medical Research and Development
- JP19dm0307104 Japan Agency for Medical Research and Development
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Affiliation(s)
- Satoshi Izuno
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashiku, Fukuoka, Fukuoka, 812-8582, Japan
| | - Kazufumi Yoshihara
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashiku, Fukuoka, Fukuoka, 812-8582, Japan.
| | - Masako Hosoi
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
- Multidisciplinary Pain Center, Kyushu University Hospital, Fukuoka, Japan
| | - Sanami Eto
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashiku, Fukuoka, Fukuoka, 812-8582, Japan
| | | | - Tae Todani
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashiku, Fukuoka, Fukuoka, 812-8582, Japan
| | - Motoharu Gondo
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
| | - Chie Hayaki
- Department of Psychosomatic Medicine, Kyushu Central Hospital of the Mutual Aid Association of Public School Teachers, Fukuoka, Japan
| | - Kozo Anno
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
- Multidisciplinary Pain Center, Kyushu University Hospital, Fukuoka, Japan
| | - Akio Hiwatashi
- Department of Radiology, Graduate School of Medical Sciences, Nagoya City University, Nagoya, Japan
| | - Nobuyuki Sudo
- Department of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashiku, Fukuoka, Fukuoka, 812-8582, Japan
- Department of Psychosomatic Medicine, Kyushu University Hospital, Fukuoka, Japan
- Multidisciplinary Pain Center, Kyushu University Hospital, Fukuoka, Japan
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Zhang E, Hauson AO, Pollard AA, Meis B, Lackey NS, Carson B, Khayat S, Fortea L, Radua J. Lateralized grey matter volume changes in adolescents versus adults with major depression: SDM-PSI meta-analysis. Psychiatry Res Neuroimaging 2023; 335:111691. [PMID: 37837793 DOI: 10.1016/j.pscychresns.2023.111691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 05/22/2023] [Accepted: 07/19/2023] [Indexed: 10/16/2023]
Abstract
The current study is the first meta-analysis to examine grey matter volume (GMV) changes in adolescents and across the lifespan in major depressive disorder (MDD). Seed-based d mapping-with permutation of subject images (SDM-PSI) has advantages over previous coordinate-based meta-analytical methods (CBMA), such as reducing bias (via the MetaNSUE algorithm) and including non-statistically significant unreported effects. SDM-PSI was used to analyze 105 whole-brain GMV voxel-based morphometry (VBM) studies comparing 6,530 individuals with MDD versus 6,821 age-matched healthy controls (HC). A laterality effect was observed in which adults with MDD showed lower GMV than adult HC in left fronto-temporo-parietal structures (superior temporal gyrus, insula, Rolandic operculum, and inferior frontal gyrus). However, these abnormalities were not statistically significant for adolescent MDD versus adolescent HC. Instead, adolescent MDD showed lower GMV than adult MDD in right temporo-parietal structures (angular gyrus and middle temporal gyrus). These regional differences may be used as potential biomarkers to predict and monitor treatment outcomes as well as to choose the most effective treatments in adolescents versus adults. Finally, due to the paucity of youth, older adult, and longitudinal studies, future studies should attempt to replicate these GMV findings and examine whether they correlate with treatment response and illness severity.
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Affiliation(s)
- Emily Zhang
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Alexander O Hauson
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America; Department of Psychiatry, University of California San Diego, La Jolla, CA, United States of America.
| | - Anna A Pollard
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Benjamin Meis
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Nicholas S Lackey
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Bryce Carson
- California School of Professional Psychology, Clinical Psychology Ph.D. Program, San Diego, CA, United States of America; Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Sarah Khayat
- Institute of Brain Research and Integrated Neuropsychological Services (iBRAINs.org), San Diego, CA, United States of America
| | - Lydia Fortea
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Joaquim Radua
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain; Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain; Department of Medicine, University of Barcelona, Barcelona, Spain; Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden; Department of Psychosis Studies, Institute of Psychology, Psychiatry, and Neuroscience, King's College London, London, United Kingdom
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Shamabadi A, Karimi H, Cattarinussi G, Moghaddam HS, Akhondzadeh S, Sambataro F, Schiena G, Delvecchio G. Neuroimaging Correlates of Treatment Response to Transcranial Magnetic Stimulation in Bipolar Depression: A Systematic Review. Brain Sci 2023; 13:brainsci13050801. [PMID: 37239273 DOI: 10.3390/brainsci13050801] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 05/10/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
Transcranial magnetic stimulation (TMS) has become a promising strategy for bipolar disorder (BD). This study reviews neuroimaging findings, indicating functional, structural, and metabolic brain changes associated with TMS in BD. Web of Science, Embase, Medline, and Google Scholar were searched without any restrictions for studies investigating neuroimaging biomarkers, through structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI), magnetic resonance spectroscopy (MRS), positron emission tomography (PET), and single photon emission computed tomography (SPECT), in association with response to TMS in patients with BD. Eleven studies were included (fMRI = 4, MRI = 1, PET = 3, SPECT = 2, and MRS = 1). Important fMRI predictors of response to repetitive TMS (rTMS) included higher connectivity of emotion regulation and executive control regions. Prominent MRI predictors included lower ventromedial prefrontal cortex connectivity and lower superior frontal and caudal middle frontal volumes. SPECT studies found hypoconnectivity of the uncus/parahippocampal cortex and right thalamus in non-responders. The post-rTMS changes using fMRI mostly showed increased connectivity among the areas neighboring the coil. Increased blood perfusion was reported post-rTMS in PET and SPECT studies. Treatment response comparison between unipolar depression and BD revealed almost equal responses. Neuroimaging evidence suggests various correlates of response to rTMS in BD, which needs to be further replicated in future studies.
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Affiliation(s)
- Ahmad Shamabadi
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran
| | - Hanie Karimi
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
- School of Medicine, Tehran University of Medical Sciences, Tehran P94V+8MF, Iran
| | - Giulia Cattarinussi
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35131 Padua, Italy
| | - Hossein Sanjari Moghaddam
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
| | - Shahin Akhondzadeh
- Psychiatric Research Center, Roozbeh Psychiatric Hospital, Tehran University of Medical Sciences, Tehran M9HV+R6Q, Iran
| | - Fabio Sambataro
- Department of Neuroscience (DNS), Padua Neuroscience Center, University of Padova, 35131 Padua, Italy
| | - Giandomenico Schiena
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Giuseppe Delvecchio
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
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Robinson EA, Gleeson J, Arun AH, Clemente A, Gaillard A, Rossetti MG, Brambilla P, Bellani M, Crisanti C, Curran HV, Lorenzetti V. Measuring white matter microstructure in 1,457 cannabis users and 1,441 controls: A systematic review of diffusion-weighted MRI studies. FRONTIERS IN NEUROIMAGING 2023; 2:1129587. [PMID: 37554654 PMCID: PMC10406316 DOI: 10.3389/fnimg.2023.1129587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 02/09/2023] [Indexed: 08/10/2023]
Abstract
INTRODUCTION Cannabis is the most widely used regulated substance by youth and adults. Cannabis use has been associated with psychosocial problems, which have been partly ascribed to neurobiological changes. Emerging evidence to date from diffusion-MRI studies shows that cannabis users compared to controls show poorer integrity of white matter fibre tracts, which structurally connect distinct brain regions to facilitate neural communication. However, the most recent evidence from diffusion-MRI studies thus far has yet to be integrated. Therefore, it is unclear if white matter differences in cannabis users are evident consistently in selected locations, in specific diffusion-MRI metrics, and whether these differences in metrics are associated with cannabis exposure levels. METHODS We systematically reviewed the results from diffusion-MRI imaging studies that compared white matter differences between cannabis users and controls. We also examined the associations between cannabis exposure and other behavioral variables due to changes in white matter. Our review was pre-registered in PROSPERO (ID: 258250; https://www.crd.york.ac.uk/prospero/). RESULTS We identified 30 diffusion-MRI studies including 1,457 cannabis users and 1,441 controls aged 16-to-45 years. All but 6 studies reported group differences in white matter integrity. The most consistent differences between cannabis users and controls were lower fractional anisotropy within the arcuate/superior longitudinal fasciculus (7 studies), and lower fractional anisotropy of the corpus callosum (6 studies) as well as higher mean diffusivity and trace (4 studies). Differences in fractional anisotropy were associated with cannabis use onset (4 studies), especially in the corpus callosum (3 studies). DISCUSSION The mechanisms underscoring white matter differences are unclear, and they may include effects of cannabis use onset during youth, neurotoxic effects or neuro adaptations from regular exposure to tetrahydrocannabinol (THC), which exerts its effects by binding to brain receptors, or a neurobiological vulnerability predating the onset of cannabis use. Future multimodal neuroimaging studies, including recently developed advanced diffusion-MRI metrics, can be used to track cannabis users over time and to define with precision when and which region of the brain the white matter changes commence in youth cannabis users, and whether cessation of use recovers white matter differences. SYSTEMATIC REVIEW REGISTRATION www.crd.york.ac.uk/prospero/, identifier: 258250.
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Affiliation(s)
- Emily Anne Robinson
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - John Gleeson
- Digital Innovation in Mental Health and Well-Being Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Arush Honnedevasthana Arun
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Adam Clemente
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
| | - Alexandra Gaillard
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
- Centre for Mental Health and Brain Sciences, Swinburne University of Technology, Melbourne, VIC, Australia
| | - Maria Gloria Rossetti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - Marcella Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Verona, Italy
| | - Camilla Crisanti
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - H. Valerie Curran
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
- Clinical Psychopharmacology Unit, University College London, London, United Kingdom
| | - Valentina Lorenzetti
- Neuroscience of Addiction and Mental Health Program, Healthy Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, VIC, Australia
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Murck H, Lehr L, Jezova D. A viewpoint on aldosterone and BMI related brain morphology in relation to treatment outcome in patients with major depression. J Neuroendocrinol 2023; 35:e13219. [PMID: 36539978 DOI: 10.1111/jne.13219] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 11/06/2022] [Accepted: 11/15/2022] [Indexed: 11/21/2022]
Abstract
An abundance of knowledge has been collected describing the involvement of neuroendocrine parameters in major depression. The hypothalamic-pituitary-adrenocortical (HPA) axis regulating cortisol release has been extensively studied; however, attempts to target the HPA axis pharmacologically to treat major depression have failed. This review focuses on the importance of the adrenocortical stress hormone aldosterone, which is released by adrenocorticotropic hormone and angiotensin, and the mineralocorticoid receptor (MR) in depression. Depressed patients, in particular those with atypical depression, have signs of central hyperactivation of the aldosterone sensitive MR, potentially as a consequence of a reactive aldosterone release induced by low blood pressure and as a result of low sensitivity of peripheral MR. This is reflected in reduced heart rate variability, increased salt appetite and sleep changes in this group of patients. In addition, enlarged brain ventricles, compressed corpus callosum and changes of the choroid plexus are associated with increased aldosterone (in relation to cortisol). Furthermore, subjects with these features often show obesity. These characteristics are related to a worse antidepressant treatment outcome. Alterations in choroid plexus function as a consequence of increased aldosterone levels, autonomic dysregulation, metabolic changes and/or inflammation may be involved. The characterization of this regulatory system is in its early days but may identify new targets for therapeutic interventions.
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Affiliation(s)
- Harald Murck
- Philipps-University Marburg, Marburg, Germany
- Murck-Neuroscience LLC Westfield, Westfield, NJ, USA
| | - Lisa Lehr
- Department of Nephrology, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Daniela Jezova
- Slovak Academy of Sciences, Biomedical Research Center, Institute of Experimental Endocrinology, Bratislava, Slovakia
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10
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Spivak NM, Haroon J, Swenson A, Turnbull SA, Dang N, Ganeles M, Price C, Distler M, Nurmi E, Lavretsky H, Bystritsky A. Microbiome in Anxiety and Other Psychiatric Disorders. Med Clin North Am 2023; 107:73-83. [PMID: 36402501 DOI: 10.1016/j.mcna.2022.08.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Initial studies suggested that the fluctuations in the quantity, variety, and composition of the gut microbiota can significantly affect disease processes. This change in the gut microbiota causing negative health benefits was coined dysbiosis. Initial research focused on gastrointestinal illnesses. However, the gut microbiome was found to affect more than just gastrointestinal diseases. Numerous studies have proven that the gut microbiome can influence neuropsychiatric diseases such as Parkinson's disease, Alzheimer's disease, and multiple sclerosis.
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Affiliation(s)
- Norman M Spivak
- UCLA-Caltech Medical Scientist Training Program; Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA.
| | - Jonathan Haroon
- Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
| | - Andrew Swenson
- Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
| | - Scott A Turnbull
- Department of Internal Medicine, Kirk Kerkorian SOM, UNLV, 4505 South Maryland Parkway, Las Vegas, NV 89154, USA
| | - Nolan Dang
- Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
| | - Matthew Ganeles
- Department of Molecular, Cell and Developmental Biology, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
| | - Collin Price
- Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
| | - Margaret Distler
- Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
| | - Erika Nurmi
- Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
| | - Helen Lavretsky
- Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
| | - Alexander Bystritsky
- Department of Psychiatry and Biobehavioral Sciences, DGSOM, UCLA, 300 UCLA Medical Plaza, Suite 2200, Los Angeles, CA 90095, USA
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11
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Jamshidi J, Park HRP, Montalto A, Fullerton JM, Gatt JM. Wellbeing and brain structure: A comprehensive phenotypic and genetic study of image-derived phenotypes in the UK Biobank. Hum Brain Mapp 2022; 43:5180-5193. [PMID: 35765890 PMCID: PMC9812238 DOI: 10.1002/hbm.25993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 06/07/2022] [Accepted: 06/13/2022] [Indexed: 01/15/2023] Open
Abstract
Wellbeing, an important component of mental health, is influenced by genetic and environmental factors. Previous association studies between brain structure and wellbeing have typically focused on volumetric measures and employed small cohorts. Using the UK Biobank Resource, we explored the relationships between wellbeing and brain morphometrics (volume, thickness and surface area) at both phenotypic and genetic levels. The sample comprised 38,982 participants with neuroimaging and wellbeing phenotype data, of which 19,234 had genotypes from which wellbeing polygenic scores (PGS) were calculated. We examined the association of wellbeing phenotype and PGS with all brain regions (including cortical, subcortical, brainstem and cerebellar regions) using multiple linear models, including (1) basic neuroimaging covariates and (2) additional demographic factors that may synergistically impact wellbeing and its neural correlates. Genetic correlations between genomic variants influencing wellbeing and brain structure were also investigated. Small but significant associations between wellbeing and volumes of several cerebellar structures (β = 0.015-0.029, PFDR = 0.007-3.8 × 10-9 ), brainstem, nucleus accumbens and caudate were found. Cortical associations with wellbeing included volume of right lateral occipital, thickness of bilateral lateral occipital and cuneus, and surface area of left superior parietal, supramarginal and pre-/post-central regions. Wellbeing-PGS was associated with cerebellar volumes and supramarginal surface area. Small mediation effects of wellbeing phenotype and PGS on right VIIIb cerebellum were evident. No genetic correlation was found between wellbeing and brain morphometric measures. We provide a comprehensive overview of wellbeing-related brain morphometric variation. Notably, small effect sizes reflect the multifaceted nature of this concept.
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Affiliation(s)
- Javad Jamshidi
- Neuroscience Research Australia, Sydney, New South Wales, Australia.,School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Haeme R P Park
- Neuroscience Research Australia, Sydney, New South Wales, Australia.,School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Arthur Montalto
- Neuroscience Research Australia, Sydney, New South Wales, Australia.,School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
| | - Janice M Fullerton
- Neuroscience Research Australia, Sydney, New South Wales, Australia.,School of Medical Sciences, University of New South Wales, Sydney, New South Wales, Australia
| | - Justine M Gatt
- Neuroscience Research Australia, Sydney, New South Wales, Australia.,School of Psychology, University of New South Wales, Sydney, New South Wales, Australia
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12
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Liu X, Klugah-Brown B, Zhang R, Chen H, Zhang J, Becker B. Pathological fear, anxiety and negative affect exhibit distinct neurostructural signatures: evidence from psychiatric neuroimaging meta-analysis. Transl Psychiatry 2022; 12:405. [PMID: 36151073 PMCID: PMC9508096 DOI: 10.1038/s41398-022-02157-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 09/04/2022] [Accepted: 09/06/2022] [Indexed: 11/24/2022] Open
Abstract
Internalizing disorders encompass anxiety, fear and depressive disorders, which exhibit overlap at both conceptual and symptom levels. Given that a neurobiological evaluation is lacking, we conducted a Seed-based D-Mapping comparative meta-analysis including coordinates as well as original statistical maps to determine common and disorder-specific gray matter volume alterations in generalized anxiety disorder (GAD), fear-related anxiety disorders (FAD, i.e., social anxiety disorder, specific phobias, panic disorder) and major depressive disorder (MDD). Results showed that GAD exhibited disorder-specific altered volumes relative to FAD including decreased volumes in left insula and lateral/medial prefrontal cortex as well as increased right putamen volume. Both GAD and MDD showed decreased prefrontal volumes compared to controls and FAD. While FAD showed less robust alterations in lingual gyrus compared to controls, this group presented intact frontal integrity. No shared structural abnormalities were found. Our study is the first to provide meta-analytic evidence for distinct neuroanatomical abnormalities underlying the pathophysiology of anxiety-, fear-related and depressive disorders. These findings may have implications for determining promising target regions for disorder-specific neuromodulation interventions (e.g. transcranial magnetic stimulation or neurofeedback).
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Affiliation(s)
- Xiqin Liu
- grid.54549.390000 0004 0369 4060The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731 Chengdu, P. R. China
| | - Benjamin Klugah-Brown
- grid.54549.390000 0004 0369 4060The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731 Chengdu, P. R. China
| | - Ran Zhang
- grid.54549.390000 0004 0369 4060The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731 Chengdu, P. R. China
| | - Huafu Chen
- grid.54549.390000 0004 0369 4060The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People’s Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731 Chengdu, P. R. China
| | - Jie Zhang
- grid.8547.e0000 0001 0125 2443Institute of Science and Technology for Brain Inspired Intelligence, Fudan University, 200433 Shanghai, P. R. China ,grid.8547.e0000 0001 0125 2443Key Laboratory of Computational Neuroscience and Brain Inspired Intelligence, Fudan University, Ministry of Education, 200433 Shanghai, P. R. China
| | - Benjamin Becker
- The Center of Psychosomatic Medicine, Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, 611731, Chengdu, P. R. China.
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13
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Alfano V, Federico G, Mele G, Garramone F, Esposito M, Aiello M, Salvatore M, Cavaliere C. Brain Networks Involved in Depression in Patients with Frontotemporal Dementia and Parkinson’s Disease: An Exploratory Resting-State Functional Connectivity MRI Study. Diagnostics (Basel) 2022; 12:diagnostics12040959. [PMID: 35454007 PMCID: PMC9029925 DOI: 10.3390/diagnostics12040959] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 04/10/2022] [Indexed: 11/25/2022] Open
Abstract
Depression is characterized by feelings of sadness, loss, or anger that may interfere with everyday activities. Such a neuropsychiatric condition is commonly reported in multiple neurodegenerative disorders, which are quite different from each other. This study aimed at investigating the brain networks involved in depression in patients with frontotemporal dementia (FTD) and Parkinson’s disease (PD) as compared to healthy controls (HC). Fifty participants were included in the study: 17 depressed FTD/PD patients; 17 non-depressed FTD/PD patients; and 16 non-depressed HCs matched for age and gender. We used the Beck depression inventory (BDI-II) to measure depression in all groups. On the same day, 3T brain magnetic resonance with structural and resting-state functional sequences were acquired. Differences in resting-state functional connectivity (FC) between depressed and non-depressed patients in all the experimental groups were assessed by using seed-to-seed and network-to-network approaches. We found a significant seed-to-seed hyperconnectivity patterns between the left thalamus and the left posterior temporal fusiform cortex, which differentiated FTD/PD depressed patients from the HCs. Network-to-network analysis revealed a significant hyperconnectivity among the default-mode network (left lateral-parietal region), the medial prefrontal cortex and the left lateral prefrontal cortex (i.e., part of the central executive network). We investigated whether such FC patterns could be related to the underlying neurodegenerative disorder by replicating the analyses with two independent samples (i.e., non-depressed PD and non-depressed FTD patients) and adding clinical parameters as covariates. We found no FC differences in these groups, thus suggesting how the FC pattern we found may signal a common depression-related neural pathway implicated in both the neurocognitive disorders.
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Affiliation(s)
- Vincenzo Alfano
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Synlab SDN, Via Emanuele Gianturco, 113, 80143 Naples, Italy; (V.A.); (G.M.); (F.G.); (M.A.); (M.S.); (C.C.)
| | - Giovanni Federico
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Synlab SDN, Via Emanuele Gianturco, 113, 80143 Naples, Italy; (V.A.); (G.M.); (F.G.); (M.A.); (M.S.); (C.C.)
- Correspondence:
| | - Giulia Mele
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Synlab SDN, Via Emanuele Gianturco, 113, 80143 Naples, Italy; (V.A.); (G.M.); (F.G.); (M.A.); (M.S.); (C.C.)
| | - Federica Garramone
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Synlab SDN, Via Emanuele Gianturco, 113, 80143 Naples, Italy; (V.A.); (G.M.); (F.G.); (M.A.); (M.S.); (C.C.)
| | - Marcello Esposito
- Azienda Ospedaliera di Rilievo Nazionale (AORN) Antonio Cardarelli, 80131 Naples, Italy;
| | - Marco Aiello
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Synlab SDN, Via Emanuele Gianturco, 113, 80143 Naples, Italy; (V.A.); (G.M.); (F.G.); (M.A.); (M.S.); (C.C.)
| | - Marco Salvatore
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Synlab SDN, Via Emanuele Gianturco, 113, 80143 Naples, Italy; (V.A.); (G.M.); (F.G.); (M.A.); (M.S.); (C.C.)
| | - Carlo Cavaliere
- Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Synlab SDN, Via Emanuele Gianturco, 113, 80143 Naples, Italy; (V.A.); (G.M.); (F.G.); (M.A.); (M.S.); (C.C.)
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14
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Meinert S, Leehr EJ, Grotegerd D, Repple J, Förster K, Winter NR, Enneking V, Fingas SM, Lemke H, Waltemate L, Stein F, Brosch K, Schmitt S, Meller T, Linge A, Krug A, Nenadić I, Jansen A, Hahn T, Redlich R, Opel N, Schubotz RI, Baune BT, Kircher T, Dannlowski U. White matter fiber microstructure is associated with prior hospitalizations rather than acute symptomatology in major depressive disorder. Psychol Med 2022; 52:1166-1174. [PMID: 32921338 DOI: 10.1017/s0033291720002950] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Eighty percent of all patients suffering from major depressive disorder (MDD) relapse at least once in their lifetime. Thus, understanding the neurobiological underpinnings of the course of MDD is of utmost importance. A detrimental course of illness in MDD was most consistently associated with superior longitudinal fasciculus (SLF) fiber integrity. As similar associations were, however, found between SLF fiber integrity and acute symptomatology, this study attempts to disentangle associations attributed to current depression from long-term course of illness. METHODS A total of 531 patients suffering from acute (N = 250) or remitted (N = 281) MDD from the FOR2107-cohort were analyzed in this cross-sectional study using tract-based spatial statistics for diffusion tensor imaging. First, the effects of disease state (acute v. remitted), current symptom severity (BDI-score) and course of illness (number of hospitalizations) on fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity were analyzed separately. Second, disease state and BDI-scores were analyzed in conjunction with the number of hospitalizations to disentangle their effects. RESULTS Disease state (pFWE < 0.042) and number of hospitalizations (pFWE< 0.032) were associated with decreased FA and increased MD and RD in the bilateral SLF. A trend was found for the BDI-score (pFWE > 0.067). When analyzed simultaneously only the effect of course of illness remained significant (pFWE < 0.040) mapping to the right SLF. CONCLUSIONS Decreased FA and increased MD and RD values in the SLF are associated with more hospitalizations when controlling for current psychopathology. SLF fiber integrity could reflect cumulative illness burden at a neurobiological level and should be targeted in future longitudinal analyses.
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Affiliation(s)
- Susanne Meinert
- Department of Psychiatry, University of Münster, Münster, Germany
| | | | | | - Jonathan Repple
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Katharina Förster
- Department of Psychiatry, University of Münster, Münster, Germany
- Clinical Psychology and Behavioral Neuroscience, Faculty of Psychology, Technische Universität Dresden, Dresden, Germany
| | - Nils R Winter
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Verena Enneking
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Stella M Fingas
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Lena Waltemate
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Anna Linge
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Core-Unit Brainimaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Tim Hahn
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Ronny Redlich
- Department of Psychiatry, University of Münster, Münster, Germany
| | - Nils Opel
- Department of Psychiatry, University of Münster, Münster, Germany
- Interdisciplinary Centre for Clinical Research (IZKF) Münster, University of Münster, Münster, Germany
| | | | - Bernhard T Baune
- Department of Psychiatry, University of Münster, Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Parkville, VIC, Australia
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry, University of Münster, Münster, Germany
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15
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Lee SM, Milillo MM, Krause-Sorio B, Siddarth P, Kilpatrick L, Narr KL, Jacobs JP, Lavretsky H. Gut Microbiome Diversity and Abundance Correlate with Gray Matter Volume (GMV) in Older Adults with Depression. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042405. [PMID: 35206594 PMCID: PMC8872347 DOI: 10.3390/ijerph19042405] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/08/2022] [Accepted: 02/15/2022] [Indexed: 01/27/2023]
Abstract
Growing evidence supports the concept that bidirectional brain–gut microbiome interactions play an important mechanistic role in aging, as well as in various neuropsychiatric conditions including depression. Gray matter volume (GMV) deficits in limbic regions are widely observed in geriatric depression (GD). We therefore aimed to explore correlations between gut microbial measures and GMV within these regions in GD. Sixteen older adults (>60 years) with GD (37.5% female; mean age, 70.6 (SD = 5.7) years) were included in the study and underwent high-resolution T1-weighted structural MRI scanning and stool sample collection. GMV was extracted from bilateral regions of interest (ROI: hippocampus, amygdala, nucleus accumbens) and a control region (pericalcarine). Fecal microbiota composition and diversity were assessed by 16S ribosomal RNA gene sequencing. There were significant positive associations between alpha diversity measures and GMV in both hippocampus and nucleus accumbens. Additionally, significant positive associations were present between hippocampal GMV and the abundance of genera Family_XIII_AD3011_group, unclassified Ruminococcaceae, and Oscillibacter, as well as between amygdala GMV and the genera Lachnospiraceae_NK4A136_group and Oscillibacter. Gut microbiome may reflect brain health in geriatric depression. Future studies with larger samples and the experimental manipulation of gut microbiome may clarify the relationship between microbiome measures and neuroplasticity.
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Affiliation(s)
- Sungeun Melanie Lee
- Department of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; (S.M.L.); (M.M.M.); (B.K.-S.); (P.S.); (L.K.)
| | - Michaela M. Milillo
- Department of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; (S.M.L.); (M.M.M.); (B.K.-S.); (P.S.); (L.K.)
| | - Beatrix Krause-Sorio
- Department of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; (S.M.L.); (M.M.M.); (B.K.-S.); (P.S.); (L.K.)
| | - Prabha Siddarth
- Department of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; (S.M.L.); (M.M.M.); (B.K.-S.); (P.S.); (L.K.)
| | - Lisa Kilpatrick
- Department of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; (S.M.L.); (M.M.M.); (B.K.-S.); (P.S.); (L.K.)
| | - Katherine L. Narr
- Brain Research Institute, 635 Charles E Young Drive South, Los Angeles, CA 90095, USA;
| | - Jonathan P. Jacobs
- UCLA Microbiome Center, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave., Los Angeles, CA 90095, USA;
- The Vatche and Tamar Manoukian Division of Digestive Diseases, Department of Medicine, David Geffen School of Medicine at UCLA, 10833 Le Conte Ave., Los Angeles, CA 90095, USA
- Division of Gastroenterology, Hepatology and Parenteral Nutrition, VA Greater Los Angeles Healthcare System and Department of Medicine and Human Genetics, 11301 Wilshire Blvd., Los Angeles, CA 90073, USA
| | - Helen Lavretsky
- Department of Psychiatry, Semel Institute for Neuroscience, University of California Los Angeles, 760 Westwood Plaza, Los Angeles, CA 90024, USA; (S.M.L.); (M.M.M.); (B.K.-S.); (P.S.); (L.K.)
- Correspondence:
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16
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Harika-Germaneau G, Wassouf I, Le Tutour T, Guillevin R, Doolub D, Rostami R, Delbreil A, Langbour N, Jaafari N. Baseline Clinical and Neuroimaging Biomarkers of Treatment Response to High-Frequency rTMS Over the Left DLPFC for Resistant Depression. Front Psychiatry 2022; 13:894473. [PMID: 35669263 PMCID: PMC9163359 DOI: 10.3389/fpsyt.2022.894473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 04/05/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Repetitive transcranial magnetic stimulation (rTMS) has proven to be an efficient treatment option for patients with treatment-resistant depression (TRD). However, the success rate of this method is still low, and the treatment outcome is unpredictable. The objective of this study was to explore clinical and structural neuroimaging factors as potential biomarkers of the efficacy of high-frequency (HF) rTMS (20 Hz) over the left dorso-lateral pre-frontal cortex (DLPFC). METHODS We analyzed the records of 131 patients with mood disorders who were treated with rTMS and were assessed at baseline at the end of the stimulation and at 1 month after the end of the treatment. The response is defined as a 50% decrease in the MADRS score between the first and the last assessment. Each of these patients underwent a T1 MRI scan of the brain, which was subsequently segmented with FreeSurfer. Whole-brain analyses [Query, Design, Estimate, Contrast (QDEC)] were conducted and corrected for multiple comparisons. Additionally, the responder status was also analyzed using binomial multivariate regression models. The explored variables were clinical and anatomical features of the rTMS target obtained from T1 MRI: target-scalp distance, DLPFC gray matter thickness, and various cortical measures of interest previously studied. RESULTS The results of a binomial multivariate regression model indicated that depression type (p = 0.025), gender (p = 0.010), and the severity of depression (p = 0.027) were found to be associated with response to rTMS. Additionally, the resistance stage showed a significant trend (p = 0.055). Whole-brain analyses on volume revealed that the average volume of the left part of the superior frontal and the caudal middle frontal regions is associated with the response status. Other MRI-based measures are not significantly associated with response to rTMS in our population. CONCLUSION In this study, we investigated the clinical and neuroimaging biomarkers associated with responsiveness to high-frequency rTMS over the left DLPFC in a large sample of patients with TRD. Women, patients with bipolar depressive disorder (BDD), and patients who are less resistant to HF rTMS respond better. Responders present a lower volume of the left part of the superior frontal gyrus and the caudal middle frontal gyrus. These findings support further investigation into the use of clinical variables and structural MRI as possible biomarkers of rTMS treatment response.
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Affiliation(s)
- Ghina Harika-Germaneau
- Centre Hospitalier Henri Laborit, Unité de Recherche Clinique Pierre Deniker, Poitiers, France.,Centre de Recherches sur la Cognition et l'Apprentissage, Centre National de la Recherche Scientifique (CNRS 7295), Université de Poitiers, Poitiers, France
| | - Issa Wassouf
- Centre Hospitalier Henri Laborit, Unité de Recherche Clinique Pierre Deniker, Poitiers, France.,Centre de Recherches sur la Cognition et l'Apprentissage, Centre National de la Recherche Scientifique (CNRS 7295), Université de Poitiers, Poitiers, France.,Centre Hospitalier Nord Deux-Sèvres, Service de Psychiatrie Adulte, Thouars, France
| | - Tom Le Tutour
- Centre Hospitalier Henri Laborit, Unité de Recherche Clinique Pierre Deniker, Poitiers, France
| | - Remy Guillevin
- CHU de Poitiers, Service de Radiologie, Poitiers, France.,Laboratoire Dactim Mis, LMA, UMR CNRS 7348, Poitiers, France
| | - Damien Doolub
- Centre Hospitalier Henri Laborit, Unité de Recherche Clinique Pierre Deniker, Poitiers, France.,Centre de Recherches sur la Cognition et l'Apprentissage, Centre National de la Recherche Scientifique (CNRS 7295), Université de Poitiers, Poitiers, France
| | - Reza Rostami
- Department of Psychology, University of Tehran, Tehran, Iran.,Atieh Clinical Neuroscience Centre, Tehran, Iran
| | - Alexia Delbreil
- Centre Hospitalier Henri Laborit, Unité de Recherche Clinique Pierre Deniker, Poitiers, France.,Centre de Recherches sur la Cognition et l'Apprentissage, Centre National de la Recherche Scientifique (CNRS 7295), Université de Poitiers, Poitiers, France.,CHU Poitiers, Service de Médecine Légale, Poitiers, France
| | - Nicolas Langbour
- Centre Hospitalier Henri Laborit, Unité de Recherche Clinique Pierre Deniker, Poitiers, France.,Centre de Recherches sur la Cognition et l'Apprentissage, Centre National de la Recherche Scientifique (CNRS 7295), Université de Poitiers, Poitiers, France
| | - Nematollah Jaafari
- Centre Hospitalier Henri Laborit, Unité de Recherche Clinique Pierre Deniker, Poitiers, France.,Centre de Recherches sur la Cognition et l'Apprentissage, Centre National de la Recherche Scientifique (CNRS 7295), Université de Poitiers, Poitiers, France
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17
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Amidfar M, Quevedo J, Z Réus G, Kim YK. Grey matter volume abnormalities in the first depressive episode of medication-naïve adult individuals: a systematic review of voxel based morphometric studies. Int J Psychiatry Clin Pract 2021; 25:407-420. [PMID: 33351672 DOI: 10.1080/13651501.2020.1861632] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND To identify the reliable and consistent grey matter volume (GMV) abnormalities associated with major depressive disorder (MDD), we excluded the influence of confounding clinical characteristics, comorbidities and brain degeneration on brain morphological abnormalities by inclusion of non-comorbid and non-geriatric drug-naïve MDD individuals experiencing first episode depressive. METHODS The PubMed, Scopus, Web of Science, Science Direct and Google scholar databases were searched for papers published in English up to April 2020. RESULTS A total of 21 voxel based morphometric (VBM) studies comparing 845 individuals in the first depressive episode and medication-naïve with 940 healthy control subjects were included. The results showed a grey matter volumes reductions in the orbitofrontal cortex (OFC), prefrontal cortex (PFC), frontal and temporal gyri, temporal pole, insular lobe, thalamus, basal ganglia, cerebellum, hippocampus, cingulate cortex, and amygdala. In addition, increased grey matter volumes in the postcentral gyrus, superior frontal gyrus, insula, basal ganglia, thalamus, amygdala, cuneus, and precuneus differentiated the first depressive episode in medication-naïve individuals from healthy subjects. CONCLUSION The present systematic review provided additional support for the involvement of grey matter structural abnormalities in limbic-cortical circuits as possibly specific structural abnormalities in the early stage of MDD.Key pointsDistinct brain regions in MDD patients might be associated with the early stages of illness, and thus it is critical to study the causal relationship between brain structures and the onset of the disease to improve the evaluation in clinic.Grey matter alterations in the fronto-limbic networks in the first episode, medication-naïve MDD might suggest that these abnormalities may play an important role in the neuropathophysiology of MDD at its onset.First episode, medically naïve depressive patients show grey matter volume alterations in brain regions mainly associated with emotion regulation including parietal-temporal regions, PFC, insular lobe, thalamus, basal ganglia, cerebellum and limbic structures that may be specific changes in early stage of MDD.Genotype-diagnosis interaction effects on brain morphology in the cortico-limbic-striatal circuits, including the PFC, amygdala, hippocampus and striatum that might be implicated in the dysfunctional regulation of emotion in first-episode MDD patients.Future longitudinal and prospective studies should be conducted to identify the core structural brain changes in people at-risk for MDD and explore the association of their brain volumes with symptom onset.
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Affiliation(s)
| | - João Quevedo
- Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Center of Excellence on Mood Disorders, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA.,Neuroscience Graduate Program, The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.,Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Gislaine Z Réus
- Translational Psychiatry Laboratory, Graduate Program in Health Sciences, University of Southern Santa Catarina (UNESC), Criciúma, SC, Brazil
| | - Yong-Ku Kim
- Departments of Psychiatry, College of Medicine, Korea University, Seoul, South Korea
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18
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Neurocognitive Effects of Ketamine and Esketamine for Treatment-Resistant Major Depressive Disorder: A Systematic Review. Harv Rev Psychiatry 2021; 29:340-350. [PMID: 34366408 DOI: 10.1097/hrp.0000000000000312] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
LEARNING OBJECTIVE After participating in this activity, learners should be better able to:• Analyze the effects of ketamine and esketamine on individuals with treatment-resistant depression. INTRODUCTION Cognitive impairment is commonly present in individuals with treatment-resistant depression, especially in attention, memory, and executive functions. These deficits are related to symptom severity, remission rates, and functional impairments during and after the acute phase of the disorder. Ketamine, an N-methyl-D-aspartate antagonist previously used as an anesthetic, brings promising antidepressant results. This study systematically reviews the neurocognitive effects of ketamine and esketamine in patients with treatment-resistant major depressive disorder. METHODS Systematic searches were conducted at Embase, PubMed, and PsycINFO using the terms depression, ketamine, and cognition. Title, abstract, and full-text reading were conducted independently by two of the authors (BSM and CSL). Risk of bias, study design, neuropsychological outcomes, and neuroimaging data were recorded. RESULTS From a total of 997 hits, 14 articles were included. One study reported cognitive impairment after ketamine treatment for processing speed and verbal memory. Five studies reported improvements in processing speed, verbal memory, visual memory, working memory, or cognitive flexibility. The esketamine study suggested no changes to performance. Lower attention, slower processing speed, and higher working memory are reported as predictors of antidepressant response. Brain areas for emotional and reward processing, including the amygdala, insula, and orbitofrontal cortex, show a normalizing tendency after ketamine. CONCLUSIONS Ketamine and esketamine do not seem to exert significant deleterious neurocognitive effects in the short or long term in individuals with treatment-resistant depression. Results suggest neuropsychological functions and brain areas commonly impaired in treatment-resistant depression may especially benefit from subanesthetic ketamine infusions. Key questions that remain unanswered are discussed.
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19
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Stein F, Meller T, Brosch K, Schmitt S, Ringwald K, Pfarr JK, Meinert S, Thiel K, Lemke H, Waltemate L, Grotegerd D, Opel N, Jansen A, Nenadić I, Dannlowski U, Krug A, Kircher T. Psychopathological Syndromes Across Affective and Psychotic Disorders Correlate With Gray Matter Volumes. Schizophr Bull 2021; 47:1740-1750. [PMID: 33860786 PMCID: PMC8530386 DOI: 10.1093/schbul/sbab037] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION More than a century of research on the neurobiological underpinnings of major psychiatric disorders (major depressive disorder [MDD], bipolar disorder [BD], schizophrenia [SZ], and schizoaffective disorder [SZA]) has been unable to identify diagnostic markers. An alternative approach is to study dimensional psychopathological syndromes that cut across categorical diagnoses. The aim of the current study was to identify gray matter volume (GMV) correlates of transdiagnostic symptom dimensions. METHODS We tested the association of 5 psychopathological factors with GMV using multiple regression models in a sample of N = 1069 patients meeting Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) criteria for MDD (n = 818), BD (n = 132), and SZ/SZA (n = 119). T1-weighted brain images were acquired with 3-Tesla magnetic resonance imaging and preprocessed with CAT12. Interactions analyses (diagnosis × psychopathological factor) were performed to test whether local GMV associations were driven by DSM-IV diagnosis. We further tested syndrome specific regions of interest (ROIs). RESULTS Whole brain analysis showed a significant negative association of the positive formal thought disorder factor with GMV in the right middle frontal gyrus, the paranoid-hallucinatory syndrome in the right fusiform, and the left middle frontal gyri. ROI analyses further showed additional negative associations, including the negative syndrome with bilateral frontal opercula, positive formal thought disorder with the left amygdala-hippocampus complex, and the paranoid-hallucinatory syndrome with the left angular gyrus. None of the GMV associations interacted with DSM-IV diagnosis. CONCLUSIONS We found associations between psychopathological syndromes and regional GMV independent of diagnosis. Our findings open a new avenue for neurobiological research across disorders, using syndrome-based approaches rather than categorical diagnoses.
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Affiliation(s)
- Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany,To whom correspondence should be addressed; Department of Psychiatry and Psychotherapy, Philipps-Universität Marburg, Rudolf-Bultmann-Str. 8, 35039 Marburg, Germany; tel: +49-6421-58-63831, fax: +49-6421-58-68939, e-mail:
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Simon Schmitt
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Kai Ringwald
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Julia Katharina Pfarr
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Susanne Meinert
- Department of Psychiatry University of Münster, Münster, Germany
| | - Katharina Thiel
- Department of Psychiatry University of Münster, Münster, Germany
| | - Hannah Lemke
- Department of Psychiatry University of Münster, Münster, Germany
| | - Lena Waltemate
- Department of Psychiatry University of Münster, Münster, Germany
| | | | - Nils Opel
- Department of Psychiatry University of Münster, Münster, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
| | - Udo Dannlowski
- Department of Psychiatry University of Münster, Münster, Germany
| | - Axel Krug
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany,Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany,Center for Mind Brain and Behavior, University of Marburg, Marburg, Germany
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20
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Murck H, Luerweg B, Hahn J, Braunisch M, Jezova D, Zavorotnyy M, Konrad C, Jansen A, Kircher T. Ventricular volume, white matter alterations and outcome of major depression and their relationship to endocrine parameters - A pilot study. World J Biol Psychiatry 2021; 22:104-118. [PMID: 32306867 DOI: 10.1080/15622975.2020.1757754] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
OBJECTIVES Brain morphology and its relation to endocrine parameters were examined, in order to determine the link of these parameters to treatment outcome to psychopharmacological treatment in depressed patients. METHODS We examined the potentially predictive value of Magnetic Resonance Imaging (MRI) parameters related to mineralocorticoid receptor (MR) function on the treatment outcome of depression. 16 inpatients with a major depressive episode (MDE) were studied at baseline and 14 of them approximately six weeks later. Physiological biomarkers and 3-T-structural MRI based volume measures, using FreeSurfer 6.0 software, were determined. RESULTS Non-responders (<50% reduction of HAMD-21; n = 6) had a significantly smaller volume of the right anterior cingulate cortex, a significantly larger ventricle to brain ratio (VBR) and third ventricle volume, and smaller volumes of the central and central-anterior corpus callosum (CC) in comparison to responders (n = 7; all p ≤ 0.05). Correlational analysis (Spearman) demonstrated that larger ventricle volume was correlated to a worse treatment outcome, higher body mass index (BMI) and smaller CC segment volume, whereas the total CC volume was negatively correlated to the saliva aldosterone/cortisol concentration ratio (AC-ratio). CONCLUSION Large ventricular volume may be a predictive marker for worse treatment response to standard antidepressant treatment, potentially via compression of white matter structures. A mediating role of the previously identified markers BMI and the AC-ratio, is suggested.
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Affiliation(s)
- Harald Murck
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany.,Murck-Neuroscience, Westfield, NJ, USA
| | - Benjamin Luerweg
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Johannes Hahn
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Matthias Braunisch
- Department of Nephrology, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany
| | - Daniela Jezova
- Biomedical Research Center, Slovak Academy of Sciences, Institute of Experimental Endocrinology, Bratislava, Slovakia
| | - Maxim Zavorotnyy
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Carsten Konrad
- Agaplesion Diakonieklinikum Rotenburg, Rotenburg (Wuemme), Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, Philipps-University Marburg, Marburg, Germany
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21
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Wang J, Liu P, Zhang A, Yang C, Liu S, Wang J, Xu Y, Sun N. Specific Gray Matter Volume Changes of the Brain in Unipolar and Bipolar Depression. Front Hum Neurosci 2021; 14:592419. [PMID: 33505257 PMCID: PMC7829967 DOI: 10.3389/fnhum.2020.592419] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 12/08/2020] [Indexed: 01/10/2023] Open
Abstract
To identify the common and specific structural basis of bipolar depression (BD) and unipolar depression (UD) is crucial for clinical diagnosis. In this study, a total of 85 participants, including 22 BD patients, 36 UD patients, and 27 healthy controls, were enrolled. A voxel-based morphology method was used to identify the common and specific changes of the gray matter volume (GMV) to determine the structural basis. Significant differences in GMV were found among the three groups. Compared with healthy controls, UD patients showed decreased GMV in the orbital part of the left inferior frontal gyrus, whereas BD patients showed decreased GMV in the orbital part of the left middle frontal gyrus. Compared with BD, UD patients have increased GMV in the left supramarginal gyrus and middle temporal gyrus. Our results revealed different structural changes in UD and BD patients suggesting BD and UD have different neurophysiological underpinnings. Our study contributes toward the biological determination of morphometric changes, which could help to discriminate between UD and BD.
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Affiliation(s)
- Junyan Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Penghong Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Chunxia Yang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Jizhi Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yong Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Mental Health, Shanxi Medical University, Taiyuan, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Department of Mental Health, Shanxi Medical University, Taiyuan, China
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22
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van Dijk MT, Cha J, Semanek D, Aw N, Gameroff MJ, Abraham E, Wickramaratne PJ, Weissman MM, Posner J, Talati A. Altered Dentate Gyrus Microstructure in Individuals at High Familial Risk for Depression Predicts Future Symptoms. BIOLOGICAL PSYCHIATRY. COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2021; 6:50-58. [PMID: 32855106 PMCID: PMC7750261 DOI: 10.1016/j.bpsc.2020.06.006] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 05/27/2020] [Accepted: 06/06/2020] [Indexed: 12/20/2022]
Abstract
BACKGROUND Offspring of individuals with major depressive disorder (MDD) are at increased risk for developing MDD themselves. Altered hippocampal, and specifically dentate gyrus (DG), structure and function may be involved in depression development. However, hippocampal abnormalities could also be a consequence of the disease. For the first time, we tested whether abnormal DG micro- and macrostructure were present in offspring of individuals with MDD and whether these abnormalities predicted future symptomatology. METHODS We measured the mean diffusivity of gray matter, a measure of microstructure, via diffusion tensor imaging and volume of the DG via structural magnetic resonance imaging in 102 generation 2 and generation 3 offspring at high and low risk for depression, defined by the presence or absence, respectively, of moderate to severe MDD in generation 1. Prior, current, and future depressive symptoms were tested for association with hippocampal structure. RESULTS DG mean diffusivity was higher in individuals at high risk for depression, regardless of a lifetime history of MDD. While DG mean diffusivity was not associated with past or current depressive symptoms, higher mean diffusivity predicted higher symptom scores 8 years later. DG microstructure partially mediated the association between risk and future symptoms. DG volume was smaller in high-risk generation 2 but not in high-risk generation 3. CONCLUSIONS Together, these findings suggest that the DG has a role in the development of depression. Furthermore, DG microstructure, more than macrostructure, is a sensitive risk marker for depression and partially mediates future depressive symptoms.
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Affiliation(s)
- Milenna T van Dijk
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Jiook Cha
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Department of Psychology, Seoul National University, South Korea
| | - David Semanek
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Division of Child Psychiatry, New York State Psychiatric Institute, New York, New York
| | - Natalie Aw
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Division of Child Psychiatry, New York State Psychiatric Institute, New York, New York
| | - Marc J Gameroff
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Eyal Abraham
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Priya J Wickramaratne
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Myrna M Weissman
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Mailman School of Public Health, Columbia University, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York
| | - Jonathan Posner
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Division of Child Psychiatry, New York State Psychiatric Institute, New York, New York
| | - Ardesheer Talati
- Department of Psychiatry, College of Physicians and Surgeons, New York, New York; Division of Translational Epidemiology, New York State Psychiatric Institute, New York, New York.
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23
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Espinoza Oyarce DA, Shaw ME, Alateeq K, Cherbuin N. Volumetric brain differences in clinical depression in association with anxiety: a systematic review with meta-analysis. J Psychiatry Neurosci 2020; 45:406-429. [PMID: 32726102 PMCID: PMC7595741 DOI: 10.1503/jpn.190156] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Structural differences associated with depression have not been confirmed in brain regions apart from the hippocampus. Comorbid anxiety has been inconsistently assessed, and may explain discrepancies in previous findings. We investigated the link between depression, comorbid anxiety and brain structure. METHODS We followed Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines (PROSPERO CRD42018089286). We searched the Cochrane Library, MEDLINE, PsycInfo, PubMed and Scopus, from database inception to Sept. 13, 2018, for MRI case-control studies that reported brain volumes in healthy adults and adults with clinical depression. We summarized mean volumetric differences using meta-analyses, and we assessed demographics, depression factors and segmentation procedure as moderators using meta-regressions. RESULTS We included 112 studies in the meta-analyses, assessing 4911 healthy participants and 5934 participants with depression (mean age 49.8 yr, 68.2% female). Volume effects were greater in late-onset depression and in multiple episodes of depression. Adults with depression and no comorbidity showed significantly lower volumes in the putamen, pallidum and thalamus, as well as significantly lower grey matter volume and intracranial volume; the largest effects were in the hippocampus (6.8%, p < 0.001). Adults with depression and comorbid anxiety showed significantly higher volumes in the amygdala (3.6%, p < 0.001). Comorbid anxiety lowered depression effects by 3% on average. Sex moderated reductions in intracranial volume. LIMITATIONS High heterogeneity in hippocampus effects could not be accounted for by any moderator. Data on symptom severity and medication were sparse, but other factors likely made significant contributions. CONCLUSION Depression-related differences in brain structure were modulated by comorbid anxiety, chronicity of symptoms and onset of illness. Early diagnosis of anxiety symptomatology will prove crucial to ensuring effective, tailored treatments for improving long-term mental health and mitigating cognitive problems, given the effects in the hippocampus.
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Affiliation(s)
- Daniela A Espinoza Oyarce
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Marnie E Shaw
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Khawlah Alateeq
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
| | - Nicolas Cherbuin
- From the Centre for Research on Ageing, Health and Wellbeing, The Australian National University, Canberra, ACT, Australia (Espinoza Oyarce, Alateeq, Cherbuin); and the College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia (Shaw)
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24
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Peng X, Lau WKW, Wang C, Ning L, Zhang R. Impaired left amygdala resting state functional connectivity in subthreshold depression individuals. Sci Rep 2020; 10:17207. [PMID: 33057046 PMCID: PMC7560839 DOI: 10.1038/s41598-020-74166-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 09/24/2020] [Indexed: 01/15/2023] Open
Abstract
Subthreshold depression (StD) affects people who experience clinically relevant depressive symptoms, which does not meet the diagnostic criteria for major depressive disorder (MDD). StD represents an ideal model for understanding the pathophysiological mechanisms of depression. Impaired emotion processing is a core feature of depression; careful investigation is required to better understand the neural correlates of emotion processing in depressed populations. In the current study, we explored whether the resting-state functional connectivity of the amygdala, a hub that taps a wide range of brain areas involved in emotion processing, is altered in individuals with StD when compared with healthy controls. Resting-state imaging data was collected from 59 individuals with StD and 59 age- and gender-matched controls. We found that the resting-state functional connectivity of the left amygdala with the cognitive control network and the left insula was significantly lower in people with StD than that in healthy controls. Such association was not observed in the right amygdala. Furthermore, functional connectivity strength between the left amygdala and the left precuneus was positively associated with depressive symptoms in individuals with StD. Our findings are in line with those reported in subjects with MDD, which may assist in further elucidating the pathophysiological mechanisms of depression, and contribute to the development of tailored treatments for individuals with StD who are at high risk of developing MDD.
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Affiliation(s)
- Xiaoling Peng
- Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China.,Guangzhou Cana School, Guangzhou Rehabilitation and Research Center for Children With ASD, Guangzhou, 510540, China
| | - Way K W Lau
- Department of Special Education and Counselling, The Education University of Hong Kong, Hong Kong, China.,Integrated Centre for Wellbeing, The Education University of Hong Kong, Hong Kong, China.,Bioanalytical Laboratory for Educational Sciences, The Education University of Hong Kong, Hong Kong, China
| | - Chanyu Wang
- Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Lingfang Ning
- Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Ruibin Zhang
- Cognitive and Neuropsychology Laboratory, Department of Psychology, School of Public Health, Southern Medical University, Guangzhou, 510515, China. .,Department of Psychiatry, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China.
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25
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Cullen KR, Brown R, Schreiner MW, Eberly LE, Klimes-Dougan B, Reigstad K, Hill D, Lim KO, Mueller BA. White matter microstructure relates to lassitude but not diagnosis in adolescents with depression. Brain Imaging Behav 2020; 14:1507-1520. [PMID: 30887416 PMCID: PMC6752996 DOI: 10.1007/s11682-019-00078-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The neurobiology of adolescent depression remains poorly understood. Initial studies suggested impaired white matter microstructure in adults and adolescents, but findings have not been consistent. Challenges in this literature have included small samples, medication confounds and inconsistent correction for type I error. This study addressed these issues in a new examination of fractional anisotropy (FA) in adolescents with major depressive disorder (MDD) using diffusion tensor imaging. We examined FA in 81 adolescents aged 12-19 (44 MDD [all unmedicated], 37 controls). We conducted logistic regression analyses to examine the odds of MDD versus control based on FA within standard white matter tracts that were delineated by probabilistic tractography. We also examined relationships between FA and disease severity (overall depression and dimensions of illness). Finally, we conducted a voxel-wise group comparison of FA. All analyses covaried for age, sex and socioeconomic status, and applied rigorous corrections for multiple testing. Logistic regression did not reveal significant associations between diagnosis and FA within white matter tracts defined by probabilistic tractography. Dimensional analyses revealed that greater lassitude was associated with higher FA in right cingulum bundle and bilateral corticospinal tracts, but with lower FA in right anterior thalamic radiation. Voxel-wise group comparisons of FA did not reveal significant group differences. The current findings do not support low FA as a neurobiological marker of adolescent depression. Dimensional results suggest that FA relates to lassitude but not overall depression. Given the clinical and neurobiological heterogeneity of depression, future work utilizing dimensional approaches may help elucidate the role of white matter microstructure in adolescent depression neurobiology.
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Affiliation(s)
- Kathryn R Cullen
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, 2450 Riverside Avenue, Minneapolis, MN, 55454, USA.
| | - Roland Brown
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | - Lynn E Eberly
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | | | - Kristina Reigstad
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, 2450 Riverside Avenue, Minneapolis, MN, 55454, USA
| | - Dawson Hill
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, 2450 Riverside Avenue, Minneapolis, MN, 55454, USA
| | - Kelvin O Lim
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, 2450 Riverside Avenue, Minneapolis, MN, 55454, USA
| | - Bryon A Mueller
- Department of Psychiatry and Behavioral Sciences, School of Medicine, University of Minnesota, 2450 Riverside Avenue, Minneapolis, MN, 55454, USA
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Nan D, Yuqi C, Zonglin S, Chenglong D, Na L, Fang L, Cong Z, Xiufeng X. Association of a SIRT1 polymorphism with changes of gray matter volume in patients with first-episode medication-naïve major depression. Psychiatry Res Neuroimaging 2020; 301:111101. [PMID: 32447184 DOI: 10.1016/j.pscychresns.2020.111101] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 02/18/2020] [Accepted: 04/23/2020] [Indexed: 01/08/2023]
Abstract
A single nucleotide polymorphism (SNP) rs12415800 of the silent mating type information regulation 2 homolog 1 gene (SIRT1) has shown a genome-wide significant association with major depression disorder (MDD) in a recent GWAS using a large sample. Subsequent studies of SIRT1's biological functions were supportive of a possible role in the pathophysiology of MDD. However, SIRT1-mediated physiopathology of MDD may be brain region specific. In the present study, we investigated the impact of SIRT1 rs12415800 genotypes on gray matter volumes (GMV) among different brain regions in both MDD patients and healthy controls. The rs12415800 was genotyped in 170 patients with first-episode medication-naïve MDD (cases) and 170 healthy controls. Magnetic resonance imaging was conducted and the voxel-based morphometry (VBM) approach was employed to analyze obtained images. When compared with the cases carrying GG genotype, the cases carrying GA or AA genotypes (A for risk allele) showed decreased GMV in right precuneus, left cuneus/precuneus, and right frontal superior. In contrast, the rs12415800-associated GMV abnormalities were not observed in controls. The SIRT1-rs12415800 polymorphism may be associated with the changes of GMV in MDD patients.
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Affiliation(s)
- Dai Nan
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Cheng Yuqi
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Shen Zonglin
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Dong Chenglong
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Li Na
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Liu Fang
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Zhou Cong
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China
| | - Xu Xiufeng
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, No. 295 Xichang RD, Kunming 650032, Kunming, Yunnan, China.
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Meng Q, Zhang A, Cao X, Sun N, Li X, Zhang Y, Wang Y. Brain Imaging Study on the Pathogenesis of Depression & Therapeutic Effect of Selective Serotonin Reuptake Inhibitors. Psychiatry Investig 2020; 17:688-694. [PMID: 32631032 PMCID: PMC7385215 DOI: 10.30773/pi.2020.0041] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2020] [Accepted: 05/18/2020] [Indexed: 12/21/2022] Open
Abstract
OBJECTIVE Predefining the most effective treatment for patients with depressive disorders remains a problem. We will examine the differential brain regions of gray matter (GM) in major depressive disorder (MDD) patients and the relationship between changes in their volume and the efficacy of early antidepressant treatment using magnetic resonance imaging (MRI). METHODS 159 never-medicated patients with first-episode MDD and 53 normal control subjects (NCs) were enrolled. The brains were scanned by MRI and measured with the 17-item Hamilton Depression Rating Scale (HAMD-17) at baseline and after 2 weeks of treatment with selective serotonin reuptake inhibitor (SSRI)s, and the non-responder group and responder group were obtained. The patients were analyzed by voxel-based morphological (VBM) and SPSS software. Receiver operator characteristics (ROC) analysis was performed for the difference between the responder group and the non-responder group in the differential brain regions, and Pearson correlations were computed between volume size and HAMD score reduction rate. RESULTS Smaller GM volume of the right superior temporal gyrus (STG), and the orbital parts of the right medial frontal gyrus and right inferior frontal gyrus were observed in MDD versus the NCs. The non-responder group demonstrated a significant volume reduction at the right STG compared with the responders, but no corresponding change in orbital part of right medial frontal gyrus and right inferior frontal gyrus. ROC analysis showed that Accuracy=71.2%. There was a positive correlation between the STG gray matter volume and the HAMD-17 score reduction rate (r=0.347, p=0.002). CONCLUSION The study results confirmed the local changes in brain structure in MDD and may initially predict the early treatment response produced by SSRIs as antidepressants.
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Affiliation(s)
- Qi Meng
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Shanxi Medical University, Taiyuan, China
| | - Aixia Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xiaohua Cao
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Ning Sun
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Xinrong Li
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
| | - YunQiao Zhang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China.,Shanxi Medical University, Taiyuan, China
| | - Yanfang Wang
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, China
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Hu J, Zhou W, Zhou Z, Yang Q, Xu J, Dong W. miR-22 and cerebral microbleeds in brainstem and deep area are associated with depression one month after ischemic stroke. ACTA ACUST UNITED AC 2020; 53:e9162. [PMID: 32348425 PMCID: PMC7197650 DOI: 10.1590/1414-431x20209162] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 02/26/2020] [Indexed: 12/15/2022]
Abstract
In this study, we aimed to explore the relationship among miR-22, deep cerebral microbleeds (CMBs), and post-stroke depression (PSD) 1 month after ischemic stroke. We consecutively recruited 257 patients with first-ever and recurrent acute cerebral infarction and performed PSD diagnosis in accordance with the Diagnostic and Statistical Manual IV criteria for depression. Clinical information, assessments of stroke severity, and imaging data were recorded on admission. We further detected plasma miR-22 using quantitative PCR and analyzed the relationship among miR-22, clinical data, and PSD using SPSS 23.0 software. Logistic regression showed that deep (OR=1.845, 95%CI: 1.006-3.386, P=0.047) and brain stem CMBs (OR=2.652, 95%CI: 1.110–6.921, P=0.040), as well as plasma miR-22 levels (OR=2.094, 95%CI: 1.066–4.115, P=0.032) were independent risk factors for PSD. In addition, there were significant differences in baseline National Institutes of Health Stroke Scale scores (OR=1.881, 95%CI: 1.180–3.011, P=0.007) and Widowhood scores (OR=1.903, 95%CI: 1.182–3.063, P=0.012). Analysis of the receiver operating curve (AUC=0.723, 95%CI: 0.562–0.883, P=0.016) revealed that miR-22 could predict PSD one month after ischemic stroke. Furthermore, plasma miR-22 levels in brainstem and deep CMBs patients showed an upward trend (P=0.028) relative to the others. Patients with acute ischemic stroke, having brainstem and deep cerebral microbleeds, or a higher plasma miR-22 were more likely to develop PSD. These findings indicate that miR-22 might be involved in cerebral microvascular impairment and post-stroke depression.
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Affiliation(s)
- Jia Hu
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Wei Zhou
- Department of Cardiovascular surgery, First Affiliated Hospital, Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Zhiming Zhou
- Department of Neurology, First Affiliated Hospital, Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Qian Yang
- Department of Neurology, First Affiliated Hospital, Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Junfeng Xu
- Department of Neurology, First Affiliated Hospital, Yijishan Hospital of Wannan Medical College, Wuhu, Anhui, China
| | - Wanli Dong
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China
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29
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Kokubun K, Yamakawa Y. Association Between Food Patterns and Gray Matter Volume. Front Hum Neurosci 2019; 13:384. [PMID: 31736731 PMCID: PMC6828934 DOI: 10.3389/fnhum.2019.00384] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Accepted: 10/14/2019] [Indexed: 01/12/2023] Open
Abstract
Diet and nutrition play a key role in the promotion and maintenance of good health, as they are important modifiable risk factors for chronic diseases. A growing number of studies indicate that optimal food intake and optimal physical activity are essential for the gray matter volume (GMV). However, the precise definition of “optimal” is extremely difficult and a topic of several studies. In the current research, we used the magnetic resonance imaging (MRI)-based normalized GMV (nGMV), for monitoring brain conditions based on GMV. By analyzing the relationship between the nGMV of 171 healthy Japanese participants and the results of a brief self-administered diet history questionnaire (BDHQ), we found that while nGMV was high in the participants with high intake of milk and yogurt, it was low in the participants of “alcohol and animal foods dietary pattern” (high intake of alcohol and animal foods). On the other hand, another food pattern “vegetable-animal balanced dietary pattern” (balanced intake of vegetables and animal foods) has no significant association with nGMV, indicating that although a diet consisting of a good balance of vegetables and animal foods may not lead to brain atrophy, it might not positively contribute to a higher nGMV. nGMV, as an objective measure of the association between food intake and the brain, might provide useful information for “optimal” food intake for GMV.
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Affiliation(s)
- Keisuke Kokubun
- Office of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, Japan
| | - Yoshinori Yamakawa
- Office of Society-Academia Collaboration for Innovation, Kyoto University, Kyoto, Japan.,ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan), Chiyoda, Japan.,Institute of Innovative Research, Tokyo Institute of Technology, Meguro, Japan.,NTT Data Institute of Management Consulting, Inc., Minato, Japan
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30
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Saricicek Aydogan A, Oztekin E, Esen ME, Dusmez S, Gelal F, Besiroğlu L, Zorlu N. Cortical thickening in remitters compared to non-remitters with major depressive disorder following 8-week antidepressant treatment. Acta Psychiatr Scand 2019; 140:217-226. [PMID: 31250445 DOI: 10.1111/acps.13065] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/24/2019] [Indexed: 11/26/2022]
Abstract
OBJECTIVE Little is known about the relationship between antidepressant treatment outcomes and underlying neurobiological mechanisms in patients with major depressive disorder (MDD). In this prospective study, we aimed to investigate how cortical thickness and subcortical volumes differed between remitter and non-remitter patients with MDD. METHODS Fifty-eight patients with MDD with a score of at least 17 on the 17-item Hamilton Depression Rating Scale and free of medication for at least 2 months and 41 healthy controls underwent structural magnetic resonance imaging. At the baseline, patients with MDD started on either selective serotonin reuptake inhibitors, serotonin-norepinephrine reuptake inhibitors, or vortioxetine. After 8-week antidepressant treatment, patients with MDD were scanned using the same MRI protocol. Structural images were analyzed using the FreeSurfer software package (version 6.0). RESULTS Longitudinal analyses showed remitter patients with MDD had significantly greater right cerebral cortex thickening in six significant clusters, including superior temporal cortex, precuneus, rostral middle frontal cortex, pars opercularis (although the cluster extends into the insula), inferior parietal cortex, and supramarginal cortex than in non-remitter patients with MDD. CONCLUSION Our results suggest that distinct antidepressant treatment-related structural alterations in brain regions implicated in cognition, emotion regulation, and rumination might be associated with treatment outcome.
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Affiliation(s)
- A Saricicek Aydogan
- Department of Psychiatry, Faculty of Medicine, Ataturk Training and Research Hospital, Izmir Katip Celebi University, İzmir, Turkey
| | - E Oztekin
- Department of Psychiatry, Faculty of Medicine, Ataturk Training and Research Hospital, Izmir Katip Celebi University, İzmir, Turkey
| | - M E Esen
- Clinic of Psychiatry, Idil State Hospital, Sirnak, Turkey
| | - S Dusmez
- Department of Psychiatry, Faculty of Medicine, Ataturk Training and Research Hospital, Izmir Katip Celebi University, İzmir, Turkey
| | - F Gelal
- Department of Radiodiagnostics, Faculty of Medicine, Ataturk Training and Research Hospital, Izmir Katip Celebi University, İzmir, Turkey
| | - L Besiroğlu
- Department of Psychiatry, Faculty of Medicine, Ataturk Training and Research Hospital, Izmir Katip Celebi University, İzmir, Turkey
| | - N Zorlu
- Department of Psychiatry, Faculty of Medicine, Ataturk Training and Research Hospital, Izmir Katip Celebi University, İzmir, Turkey
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31
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Altered dynamic functional connectivity in weakly-connected state in major depressive disorder. Clin Neurophysiol 2019; 130:2096-2104. [PMID: 31541987 DOI: 10.1016/j.clinph.2019.08.009] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 05/27/2019] [Accepted: 08/14/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVE Major depressive disorder (MDD) is accompanied by abnormal changes in dynamic functional connectivity (FC) among brain regions. The aim of this study is to investigate whether the abnormalities of dynamic FC in MDD are state-dependent (related to a specific connectivity state). METHODS We performed time-varying connectivity analysis on resting-state functional magnetic resonance imaging (rs-fMRI) of 49 MDD patients and 54 matched healthy controls (HCs). FC differences between groups in each connectivity state were analyzed and associations between disease severity and dynamics of aberrant FC were explored. RESULTS Two distinct connectivity states (i.e., weakly-connected and strongly-connected state) were identified. Compared to HCs, MDD patients were associated with increased mean dwell time and decreased FC between and within subnetworks in the weakly-connected state. Dynamics of reduced FC between cognitive control network and default mode network as well as within cognitive control network predicted individual differences in depression symptom severity. CONCLUSIONS Our findings suggested that the MDD-caused FC alterations mostly appeared in the weakly-connected state, which might contribute to clinical diagnosis of MDD. SIGNIFICANCE These findings provide new perspectives for understanding the state-dependent neurophysiological mechanisms in MDD.
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32
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Lu S, Xu R, Cao J, Yin Y, Gao W, Wang D, Wei Z, Hu S, Huang M, Li L, Xu Y. The left dorsolateral prefrontal cortex volume is reduced in adults reporting childhood trauma independent of depression diagnosis. J Psychiatr Res 2019; 112:12-17. [PMID: 30831535 DOI: 10.1016/j.jpsychires.2019.02.014] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 02/17/2019] [Accepted: 02/21/2019] [Indexed: 12/16/2022]
Abstract
Both major depressive disorder (MDD) and childhood trauma have been linked with brain structural changes. As childhood trauma is more highly prevalent in MDD patients, previous morphometric findings in MDD therefore might have been confounded by childhood trauma. This study aimed to differentiate the impact of childhood trauma from the influence of MDD diagnosis on gray matter volume (GMV). Seventy-eight subjects were recruited into four study groups (n = 16, MDD patients with childhood trauma exposures, CTE/MDD; n = 14, MDD patients without CTE, non-CTE/MDD; n = 24, healthy controls with CTE, CTE/HC; and n = 24, HCs without CTE, non-CTE/HC). All participants underwent high-resolution structural magnetic resonance scans. Voxel-based morphometry was used to investigate GM alterations, and a 2 × 2 analysis of variance was performed to identify the main effects of diagnosis, childhood trauma, and their interactions. The main effects of diagnosis displayed abnormal GMV located in the left superior parietal lobule (MDD < HC) and right middle occipital gyrus (MDD > HC). While the left dorsolateral prefrontal cortex (DLPFC) volume revealed a significant main effect of childhood trauma, as shown by decreased GMV of the left DLPFC in subjects with CTE, regardless of diagnosis. A negative correlation was also found between the left DLPFC volume and emotional neglect in individuals reporting CTE. The present findings suggest that decreased GMV of the left DLPFC is a function of childhood trauma rather than MDD, which may represent the biological risk for developing MDD.
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Affiliation(s)
- Shaojia Lu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Ruizhi Xu
- Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jiang Cao
- Faculty of Clinical Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Yan Yin
- Department of Clinical Psychology, Hangzhou Seventh People's Hospital, Hangzhou, Zhejiang, China
| | - Weijia Gao
- Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Dandan Wang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Zhaoguo Wei
- Department of Clinical Psychology, Shenzhen Kangning Hospital, Shenzhen, Guangdong, China; Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, China
| | - Shaohua Hu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Manli Huang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Lingjiang Li
- Mental Health Institute of the Second Xiangya Hospital, Key Laboratory of Psychiatry and Mental Health of Hunan Province, Central South University, Changsha, Hunan, China.
| | - Yi Xu
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, Key Laboratory of Mental Disorder's Management of Zhejiang Province, Hangzhou, Zhejiang, China.
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The neural markers of MRI to differentiate depression and panic disorder. Prog Neuropsychopharmacol Biol Psychiatry 2019; 91:72-78. [PMID: 29705713 DOI: 10.1016/j.pnpbp.2018.04.013] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 04/05/2018] [Accepted: 04/23/2018] [Indexed: 12/23/2022]
Abstract
Depression and panic disorder (PD) share the common pathophysiology from the perspectives of neurotransmitters. The relatively high comorbidity between depression and PD contributes to the substantial obstacles to differentiate from depression and PD, especially for the brain pathophysiology. There are significant differences in the diagnostic criteria between depression and PD. However, the paradox of similar pathophysiology and different diagnostic criteria in these two disorders were still the issues needing to be addressed. Therefore the clarification of potential difference in the field of neuroscience and pathophysiology between depression and PD can help the clinicians and scientists to understand more comprehensively about significant differences between depression and PD. The researchers should be curious about the underlying difference of pathophysiology beneath the significant distinction of clinical symptoms. In this review article, I tried to find some evidences for the differences between depression and PD, especially for neural markers revealed by magnetic resonance imaging (MRI). The distinctions of structural and functional alterations in depression and PD are reviewed. From the structural perspectives, PD seems to have less severe gray matter alterations in frontal and temporal lobes than depression. The study of white matter microintegrity reveals more widespread alterations in fronto-limbic circuit of depression patients than PD patients, such as the uncinate fasciculus and anterior thalamic radiation. PD might have a more restrictive pattern of structural alterations when compared to depression. For the functional perspectives, the core site of depression pathophysiology is the anterior subnetwork of resting-state network, such as anterior cingulate cortex, which is not significantly altered in PD. A possibly emerging pattern of fronto-limbic distinction between depression and PD has been revealed by these explorative reports. The future trend for machine learning and pattern recognition might confirm the differentiation pattern between depression and PD based on the explorative results.
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34
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Won JH, Kim M, Park BY, Youn J, Park H. Effectiveness of imaging genetics analysis to explain degree of depression in Parkinson's disease. PLoS One 2019; 14:e0211699. [PMID: 30742647 PMCID: PMC6370199 DOI: 10.1371/journal.pone.0211699] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2018] [Accepted: 01/18/2019] [Indexed: 12/20/2022] Open
Abstract
Depression is one of the most common and important neuropsychiatric symptoms in Parkinson's disease and often becomes worse as Parkinson's disease progresses. However, the underlying mechanisms of depression in Parkinson's disease are not clear. The aim of our study was to find genetic features related to depression in Parkinson's disease using an imaging genetics approach and to construct an analytical model for predicting the degree of depression in Parkinson's disease. The neuroimaging and genotyping data were obtained from an openly accessible database. We computed imaging features through connectivity analysis derived from tractography of diffusion tensor imaging. The imaging features were used as intermediate phenotypes to identify genetic variants according to the imaging genetics approach. We then constructed a linear regression model using the genetic features from imaging genetics approach to describe clinical scores indicating the degree of depression. As a comparison, we constructed other models using imaging features and genetic features based on references to demonstrate the effectiveness of our imaging genetics model. The models were trained and tested in a five-fold cross-validation. The imaging genetics approach identified several brain regions and genes known to be involved in depression, with the potential to be used as meaningful biomarkers. Our proposed model using imaging genetic features predicted and explained the degree of depression in Parkinson's disease appropriately (adjusted R2 larger than 0.6 over five training folds) and with a lower error and higher correlation than with other models over five test folds.
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Affiliation(s)
- Ji Hye Won
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
| | - Mansu Kim
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
| | - Bo-yong Park
- Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Korea
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
| | - Jinyoung Youn
- Department of Neurology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Korea
| | - Hyunjin Park
- Center for Neuroscience Imaging Research, Institute for Basic Science, Suwon, Korea
- School of Electronic and Electrical Engineering, Sungkyunkwan University, Suwon, Korea
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35
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Luo L, Wu K, Lu Y, Gao S, Kong X, Lu F, Wu F, Wu H, Wang J. Increased Functional Connectivity Between Medulla and Inferior Parietal Cortex in Medication-Free Major Depressive Disorder. Front Neurosci 2019; 12:926. [PMID: 30618555 PMCID: PMC6295569 DOI: 10.3389/fnins.2018.00926] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Accepted: 11/26/2018] [Indexed: 11/13/2022] Open
Abstract
Emerging evidence has documented the abnormalities of primary brain functions in major depressive disorder (MDD). The brainstem has shown to play an important role in regulating basic functions of the human brain, but little is known about its role in MDD, especially the roles of its subregions. To uncover this, the present study adopted resting-state functional magnetic resonance imaging with fine-grained brainstem atlas in 23 medication-free MDD patients and 34 matched healthy controls (HC). The analysis revealed significantly increased functional connectivity of the medulla, one of the brainstem subregions, with the inferior parietal cortex (IPC) in MDD patients. A positive correlation was further identified between the increased medulla-IPC functional connectivity and Hamilton anxiety scores. Functional characterization of the medulla and IPC using a meta-analysis revealed that both regions primarily participated in action execution and inhibition. Our findings suggest that increased medulla-IPC functional connectivity may be related to over-activity or abnormal control of negative emotions in MDD, which provides a new insight for the neurobiology of MDD.
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Affiliation(s)
- Lizhu Luo
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Kunhua Wu
- Department of MRI, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, Kunming, China
| | - Yi Lu
- The Department of Medical Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Shan Gao
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.,School of Foreign Languages, University of Electronic Science and Technology of China, Chengdu, China
| | - Xiangchao Kong
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Fengmei Lu
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
| | - Fengchun Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Huawang Wu
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
| | - Jiaojian Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China
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36
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Yrondi A, Nemmi F, Billoux S, Giron A, Sporer M, Taib S, Salles J, Pierre D, Thalamas C, Schmitt L, Péran P, Arbus C. Significant Decrease in Hippocampus and Amygdala Mean Diffusivity in Treatment-Resistant Depression Patients Who Respond to Electroconvulsive Therapy. Front Psychiatry 2019; 10:694. [PMID: 31607967 PMCID: PMC6761799 DOI: 10.3389/fpsyt.2019.00694] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Accepted: 08/27/2019] [Indexed: 12/12/2022] Open
Abstract
Introduction: The hippocampus plays a key role in depressive disorder, and the amygdala is involved in depressive disorder through the key role that it plays in emotional regulation. Electroconvulsive therapy (ECT) may alter the microstructure of these two regions. Since mean diffusivity (MD), is known to be an indirect marker of microstructural integrity and can be derived from diffusion tensor imaging (DTI) scans, we aim to test the hypothesis that treatment-resistant depression (TRD) patients undergoing bilateral (BL) ECT exhibit a decrease of MD in their hippocampus and amygdala. Methods: Patients, between 50 and 70 years of age, diagnosed with TRD were recruited from the University Hospital of Toulouse and assessed clinically (Hamilton Depression Rating Scale, HAM-D) and by DTI scans at three time points: baseline, V2 (during treatment), and V3 within 1 week of completing ECT. Results: We included 15 patients, who were all responders. The left and right hippocampi and the left amygdala showed a significant decrease in MD at V3, compared to baseline [respectively: β = -2.78, t = -1.97, p = 0.04; β = -2.56, t = -2, p = 0.04; β = -2.5, t = -2.3, p = 0.04, false discovery rate (FDR) corrected]. MD did not decrease in the right amygdala. Only the left amygdala was significantly associated with a reduction in HAM-D (ρ = 0.55, p = 0.049, FDR corrected). Conclusion: MD is an indirect microstructural integrity marker, which decreases in the hippocampus and the left amygdala, during BL ECT in TRD populations. This could be interpreted as a normalization of microstructural integrity in these structures.
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Affiliation(s)
- Antoine Yrondi
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Federico Nemmi
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France
| | - Sophie Billoux
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France.,Service de médicine légale, CHU Toulouse, Toulouse, France
| | - Aurélie Giron
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France.,Service de Psychiatrie et de Psychologie Médicale, CHU de Toulouse, Hospital Purpan, Toulouse, France
| | - Marie Sporer
- Service de Psychiatrie et de Psychologie Médicale, CHU de Toulouse, Hospital Purpan, Toulouse, France
| | - Simon Taib
- Service de Psychiatrie et de Psychologie Médicale, CHU Toulouse, Hospital Purpan, ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
| | - Juliette Salles
- Service de Psychiatrie et de Psychologie Médicale, CHU de Toulouse, Hospital Purpan, Toulouse, France
| | - Damien Pierre
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, Toulouse, France
| | - Claire Thalamas
- CIC 1436, Service de Pharmacologie Clinique, CHU de Toulouse, INSERM, Université de Toulouse, UPS, Toulouse, France
| | - Laurent Schmitt
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, Toulouse, France
| | - Patrice Péran
- ToNIC, Toulouse NeuroImaging Center, University of Toulouse, Inserm, UPS, Toulouse, France
| | - Christophe Arbus
- Service de Psychiatrie et de Psychologie Médicale, Centre Expert Dépression Résistante FondaMental, CHU Toulouse, Hospital Purpan, ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France
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Lee SM, Lee S, Kang WS, Jahng GH, Park HJ, Kim SK, Park JK. Gray Matter Volume Reductions Were Associated with TPH1 Polymorphisms in Depressive Disorder Patients with Suicidal Attempts. Psychiatry Investig 2018; 15:1174-1180. [PMID: 30602107 PMCID: PMC6318492 DOI: 10.30773/pi.2018.11.01] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 11/01/2018] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE Structural changes of brain areas have been reported in depressive disorder and suicidal behavior (SB), in which TPH1 also has been known as a promising candidate gene. We investigated gray matter volume (GMV) differences, TPH1 rs1800532 and rs1799913 polymorphisms previously found to be associated with depressive disorder and SB, and the relationship between the two markers. METHODS Thirteen depressive disorder patients with suicidal attempts (SA) and twenty healthy controls were included. We examined GMV differences using a voxel-based morphometry and regions of interest analysis. Direct sequencing was used for genotyping. RESULTS The patients showed significant GMV reduction in left cerebral region including middle frontal gyrus, inferior frontal gyrus, and anterior cingulate cortex; in right middle temporal gyrus; in left cerebellar tonsil; and in right cerebral region including precentral gyrus and postcentral gyrus (corrected p<0.005). The right precentral and postcentral gyri GMV values of AA and CA genotypes patients were significantly decreased compared to those of CC genotype subjects (corrected p=0.040). CONCLUSION These findings show the possibility that both GMV reductions and TPH1 rs1800532/rs1799913 A allele may be involved in the pathogenesis of depressive disorder patients with SA.
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Affiliation(s)
- Sang Min Lee
- Department of Psychiatry, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Soyoen Lee
- Department of Medicine, Graduate School, Kyung Hee University, Seoul, Republic of Korea
| | - Won Sub Kang
- Department of Psychiatry, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Geon-Ho Jahng
- Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Hae Jeong Park
- Department of Pharmacology, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
| | - Su Kang Kim
- Department of Biomedical Laboratory Science, Catholic Kwandong University, Gangneung, Republic of Korea
| | - Jin Kyung Park
- Department of Psychiatry, School of Medicine, Kyung Hee University, Seoul, Republic of Korea
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Lam CLM, Liu HL, Huang CM, Wai YY, Lee SH, Yiend J, Lin C, Lee TMC. The neural correlates of perceived energy levels in older adults with late-life depression. Brain Imaging Behav 2018; 13:1397-1405. [PMID: 30159766 PMCID: PMC6732126 DOI: 10.1007/s11682-018-9940-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Late-life depression is common among older adults. Although white-matter abnormality is highly implicated, the extent to which the corticospinal tract is associated with the pathophysiology of late-life depression is unclear. The current study aims to investigate the white-matter structural integrity of the corticospinal tract and determine its cognitive and functional correlates in older adults with late-life depression. Twenty-eight older adults with clinical depression and 23 healthy age-matched older adults participated in the study. The white matter volume and the white matter hyperintensities (WMHs) of the corticospinal tract, as well as the global WMHs, were measured. Psychomotor processing speed, severity of depression, perceived levels of energy and physical functioning were measured to examine the relationships among the correlates in the depressed participants. The right corticospinal tract volume was significantly higher in depressed older adults relative to healthy controls. Moreover, the right corticospinal tract volume was significantly associated with the overall severity of depression and accounted for 17% of its variance. It further attenuated the relationship between the severity of depression and perceived levels of energy. Our findings suggested that higher volume in the right corticospinal tract is implicated in LLD and may relate to lower perceived levels of energy experienced by older adults with depression.
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Affiliation(s)
- Charlene L M Lam
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Hong Kong.,Laboratory of Neuropsychology, The University of Hong Kong, Pokfulam, Hong Kong.,Institute of Clinical Neuropsychology, The University of Hong Kong, Pokfulam, Hong Kong
| | - Ho-Ling Liu
- Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Chih-Mao Huang
- College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan
| | - Yau-Yau Wai
- Department of Medical Imaging and Intervention, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Shwu-Hua Lee
- Department of Psychiatry, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan.,College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Jenny Yiend
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Chemin Lin
- Department of Psychiatry, Chang Gung Memorial Hospital, Keelung City, Taiwan.
| | - Tatia M C Lee
- State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Pokfulam, Hong Kong. .,Laboratory of Neuropsychology, The University of Hong Kong, Pokfulam, Hong Kong. .,Institute of Clinical Neuropsychology, The University of Hong Kong, Pokfulam, Hong Kong.
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39
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Yang J, Zhang M, Ahn H, Zhang Q, Jin TB, Li I, Nemesure M, Joshi N, Jiang H, Miller JM, Ogden RT, Petkova E, Milak MS, Sublette ME, Sullivan GM, Trivedi MH, Weissman M, McGrath PJ, Fava M, Kurian BT, Pizzagalli DA, Cooper CM, McInnis M, Oquendo MA, Mann JJ, Parsey RV, DeLorenzo C. Development and evaluation of a multimodal marker of major depressive disorder. Hum Brain Mapp 2018; 39:4420-4439. [PMID: 30113112 DOI: 10.1002/hbm.24282] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 05/16/2018] [Accepted: 06/04/2018] [Indexed: 12/30/2022] Open
Abstract
This study aimed to identify biomarkers of major depressive disorder (MDD), by relating neuroimage-derived measures to binary (MDD/control), ordinal (severe MDD/mild MDD/control), or continuous (depression severity) outcomes. To address MDD heterogeneity, factors (severity of psychic depression, motivation, anxiety, psychosis, and sleep disturbance) were also used as outcomes. A multisite, multimodal imaging (diffusion MRI [dMRI] and structural MRI [sMRI]) cohort (52 controls and 147 MDD patients) and several modeling techniques-penalized logistic regression, random forest, and support vector machine (SVM)-were used. An additional cohort (25 controls and 83 MDD patients) was used for validation. The optimally performing classifier (SVM) had a 26.0% misclassification rate (binary), 52.2 ± 1.69% accuracy (ordinal) and r = .36 correlation coefficient (p < .001, continuous). Using SVM, R2 values for prediction of any MDD factors were <10%. Binary classification in the external data set resulted in 87.95% sensitivity and 32.00% specificity. Though observed classification rates are too low for clinical utility, four image-based features contributed to accuracy across all models and analyses-two dMRI-based measures (average fractional anisotropy in the right cuneus and left insula) and two sMRI-based measures (asymmetry in the volume of the pars triangularis and the cerebellum) and may serve as a priori regions for future analyses. The poor accuracy of classification and predictive results found here reflects current equivocal findings and sheds light on challenges of using these modalities for MDD biomarker identification. Further, this study suggests a paradigm (e.g., multiple classifier evaluation with external validation) for future studies to avoid nongeneralizable results.
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Affiliation(s)
- Jie Yang
- Department of Family, Population and Preventive Medicine, Stony Brook University, New York, New York
| | - Mengru Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Hongshik Ahn
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Qing Zhang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Tony B Jin
- Department of Psychiatry, Stony Brook University, New York, New York
| | - Ien Li
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey
| | - Matthew Nemesure
- Integrative Neuroscience Program, Binghamton University, Binghamton, New York
| | - Nandita Joshi
- Department of Electrical and Computer Engineering, Stony Brook University, New York, New York
| | - Haoran Jiang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, New York
| | - Jeffrey M Miller
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Eva Petkova
- Department of Child & Adolescent Psychiatry, Department of Population Health, New York University, New York, New York
| | - Matthew S Milak
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Gregory M Sullivan
- Chief Medical Officer, Clinical Research and Development program, Tonix Pharmaceuticals, Inc., New York, New York
| | - Madhukar H Trivedi
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Myrna Weissman
- Department of Psychiatry, Columbia University, New York, New York
| | | | - Maurizio Fava
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Benji T Kurian
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - Crystal M Cooper
- Department of Psychiatry, University of Texas Southwestern Medical Center, Dallas, Texas
| | - Melvin McInnis
- Department of Psychiatry, University of Michigan, Ann Arbor, Michigan
| | - Maria A Oquendo
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Joseph John Mann
- Department of Psychiatry, Columbia University, New York, New York
| | - Ramin V Parsey
- Department of Psychiatry, Stony Brook University, New York, New York
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40
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Guo H, Yan P, Cheng C, Li Y, Chen J, Xu Y, Xiang J. fMRI classification method with multiple feature fusion based on minimum spanning tree analysis. Psychiatry Res Neuroimaging 2018; 277:14-27. [PMID: 29793077 DOI: 10.1016/j.pscychresns.2018.05.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2017] [Revised: 05/08/2018] [Accepted: 05/09/2018] [Indexed: 01/07/2023]
Abstract
Resting state functional brain networks have been widely studied in brain disease research. Conventional network analysis methods are hampered by differences in network size, density and normalization. Minimum spanning tree (MST) analysis has been recently suggested to ameliorate these limitations. Moreover, common MST analysis methods involve calculating quantifiable attributes and selecting these attributes as features in the classification. However, a disadvantage of these methods is that information about the topology of the network is not fully considered, limiting further improvement of classification performance. To address this issue, we propose a novel method combining brain region and subgraph features for classification, utilizing two feature types to quantify two properties of the network. We experimentally validated our proposed method using a major depressive disorder (MDD) patient dataset. The results indicated that MSTs of MDD patients were more similar to random networks and exhibited significant differences in certain regions involved in the limbic-cortical-striatal-pallidal-thalamic (LCSPT) circuit, which is considered to be a major pathological circuit of depression. Moreover, we demonstrated that this novel classification method could effectively improve classification accuracy and provide better interpretability. Overall, the current study demonstrated that different forms of feature representation provide complementary information.
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Affiliation(s)
- Hao Guo
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, PR China; National Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, PR China.
| | - Pengpeng Yan
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, PR China
| | - Chen Cheng
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, PR China; National Laboratory of Pattern Recognition, Institute of Automation, The Chinese Academy of Sciences, Beijing, PR China
| | - Yao Li
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, PR China
| | - Junjie Chen
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, PR China
| | - Yong Xu
- Department of Psychiatry, First Hospital of Shanxi Medical University, Taiyuan, PR China
| | - Jie Xiang
- College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, PR China
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41
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Fradkin Y, Khadka S, Bessette KL, Stevens MC. The relationship of impulsivity and cortical thickness in depressed and non-depressed adolescents. Brain Imaging Behav 2018; 11:1515-1525. [PMID: 27738995 DOI: 10.1007/s11682-016-9612-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Major Depressive Disorder (MDD) is recognized to be heterogeneous in terms of brain structure abnormality findings across studies, which might reflect previously unstudied traits that confer variability to neuroimaging measurements. The purpose of this study was to examine the relationships between different types of trait impulsivity and MDD diagnosis on adolescent brain structure. We predicted that adolescents with depression who were high on trait impulsivity would have more abnormal cortical structure than depressed patients or non-MDD who were low on impulsivity. We recruited 58 subjects, including 29 adolescents (ages 12-19) with a primary DSM-IV diagnosis of MDD and a history of suicide attempt and 29 demographically-matched healthy control participants. Our GLM-based analyses sought to describe differences in the linear relationships between cortical thickness and impulsivity trait levels. As hypothesized, we found significant moderation effects in rostral middle frontal gyrus and right paracentral lobule cortical thickness for different subscales of the Barratt Impulsiveness Scale. However, although these brain-behavior relationships differed between diagnostic study groups, they were not simple additive effects as we had predicted. For the middle frontal gyrus, non-MDD participants showed a strong positive association between cortical thickness and BIS-11 Motor scores, while MDD-diagnosed participants showed a negative association. For Non-Planning Impulsiveness, paracentral lobule cortical thickness was observed with greater impulsivity in MDD, but no association was found for controls. In conclusion, the findings confirm that dimensions of impulsivity have discrete neural correlates, and show that relationships between impulsivity and brain structure are expressed differently in adolescents with MDD compared to non-MDD.
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Affiliation(s)
- Yuli Fradkin
- Department of Psychiatry, Rutgers University Robert Wood Johnson Medical School, 675 Hoes Ln W, Piscataway, NJ, 08854, USA
| | - Sabin Khadka
- Olin Neuropsychiatry Research Center, Hartford Hospital / The Institute of Living, 200 Retreat Avenue, Whitehall Building, Hartford, CT, 06106, USA
| | - Katie L Bessette
- Olin Neuropsychiatry Research Center, Hartford Hospital / The Institute of Living, 200 Retreat Avenue, Whitehall Building, Hartford, CT, 06106, USA
| | - Michael C Stevens
- Olin Neuropsychiatry Research Center, Hartford Hospital / The Institute of Living, 200 Retreat Avenue, Whitehall Building, Hartford, CT, 06106, USA. .,Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA.
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Lebedeva A, Sundström A, Lindgren L, Stomby A, Aarsland D, Westman E, Winblad B, Olsson T, Nyberg L. Longitudinal relationships among depressive symptoms, cortisol, and brain atrophy in the neocortex and the hippocampus. Acta Psychiatr Scand 2018; 137:491-502. [PMID: 29457245 DOI: 10.1111/acps.12860] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/23/2018] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Depression is associated with accelerated aging and age-related diseases. However, mechanisms underlying this relationship remain unclear. The aim of this study was to longitudinally assess the link between depressive symptoms, brain atrophy, and cortisol levels. METHOD Participants from the Betula prospective cohort study (mean age = 59 years, SD = 13.4 years) underwent clinical, neuropsychological and brain 3T MRI assessments at baseline and a 4-year follow-up. Cortisol levels were measured at baseline in four saliva samples. Cortical and hippocampal atrophy rates were estimated and compared between participants with and without depressive symptoms (n = 81) and correlated with cortisol levels (n = 49). RESULTS Atrophy in the left superior frontal gyrus and right lingual gyrus developed in parallel with depressive symptoms, and in the left temporal pole, superior temporal cortex, and supramarginal cortex after the onset of depressive symptom. Depression-related atrophy was significantly associated with elevated cortisol levels. Elevated cortisol levels were also associated with widespread prefrontal, parietal, lateral, and medial temporal atrophy. CONCLUSION Depressive symptoms and elevated cortisol levels are associated with atrophy of the prefrontal and limbic areas of the brain.
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Affiliation(s)
- A Lebedeva
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institute, Huddinge, Sweden
| | - A Sundström
- Department of Psychology, Umeå University, Umeå, Sweden.,Center for Demographic and Ageing Research, Umeå University, Umeå, Sweden
| | - L Lindgren
- Department of Nursing, Umeå University, Umeå, Sweden.,Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden
| | - A Stomby
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.,Jönköping County Hospital, Region Jönköping County, Jönköping, Sweden
| | - D Aarsland
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institute, Huddinge, Sweden.,Department of Old Age Psychiatry, Institute of Psychiatry, Psychology and Neuroscience, King's College, London, UK.,Center for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - E Westman
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institute, Huddinge, Sweden
| | - B Winblad
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Center for Alzheimer Research, Karolinska Institute, Huddinge, Sweden.,Geriatric Clinics, Karolinska University Hospital, Huddinge, Sweden
| | - T Olsson
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - L Nyberg
- Umeå Center for Functional Brain Imaging, Umeå University, Umeå, Sweden.,Department of Integrative Medical Biology, Physiology, Umeå University, Umeå, Sweden.,Department of Radiation Sciences, Diagnostic Radiology, Umeå University, Umeå, Sweden
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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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Khan AR, Kroenke CD, Wiborg O, Chuhutin A, Nyengaard JR, Hansen B, Jespersen SN. Differential microstructural alterations in rat cerebral cortex in a model of chronic mild stress depression. PLoS One 2018; 13:e0192329. [PMID: 29432490 PMCID: PMC5809082 DOI: 10.1371/journal.pone.0192329] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Accepted: 01/22/2018] [Indexed: 01/17/2023] Open
Abstract
Chronic mild stress leads to depression in many cases and is linked to several debilitating diseases including mental disorders. Recently, neuronal tracing techniques, stereology, and immunohistochemistry have revealed persistent and significant microstructural alterations in the hippocampus, hypothalamus, prefrontal cortex, and amygdala, which form an interconnected system known as the stress circuit. Most studies have focused only on this circuit, however, some studies indicate that manipulation of sensory and motor systems may impact genesis and therapy of mood disorders and therefore these areas should not be neglected in the study of brain microstructure alterations in response to stress and depression. For this reason, we explore the microstructural alterations in different cortical regions in a chronic mild stress model of depression. The study employs ex-vivo diffusion MRI (d-MRI) to assess cortical microstructure in stressed (anhedonic and resilient) and control animals. MRI is followed by immunohistochemistry to substantiate the d-MRI findings. We find significantly lower extracellular diffusivity in auditory cortex (AC) of stress groups and a significantly higher fractional anisotropy in the resilient group. Neurite density was not found to be significantly higher in any cortical ROIs in the stress group compared to control, although axonal density is higher in the stress groups. We also report significant thinning of motor cortex (MC) in both stress groups. This is in agreement with recent clinical and preclinical studies on depression and similar disorders where significant microstructural and metabolic alterations were found in AC and MC. Our findings provide further evidence that the AC and MC are sensitive towards stress exposure and may extend our understanding of the microstructural effects of stress beyond the stress circuit of the brain. Progress in this field may provide new avenues of research to help in diagnosis and treatment intervention for depression and related disorders.
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Affiliation(s)
- Ahmad Raza Khan
- Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark
| | - Christopher D. Kroenke
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon, United States of America
| | - Ove Wiborg
- Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark
| | - Andrey Chuhutin
- Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark
| | - Jens R. Nyengaard
- Core Center for Molecular Morphology, Section for Stereology and Microscopy, Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University, Aarhus, Denmark
| | - Brian Hansen
- Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark
| | - Sune Nørhøj Jespersen
- Center of Functionally Integrative Neuroscience, Aarhus University Hospital, Aarhus, Denmark
- Department of Physics and Astronomy, Aarhus University, Aarhus, Denmark
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Harada K, Ikuta T, Nakashima M, Watanuki T, Hirotsu M, Matsubara T, Yamagata H, Watanabe Y, Matsuo K. Altered Connectivity of the Anterior Cingulate and the Posterior Superior Temporal Gyrus in a Longitudinal Study of Later-life Depression. Front Aging Neurosci 2018; 10:31. [PMID: 29472854 PMCID: PMC5809471 DOI: 10.3389/fnagi.2018.00031] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 01/26/2018] [Indexed: 12/12/2022] Open
Abstract
Patients with later-life depression (LLD) show abnormal gray matter (GM) volume, white matter (WM) integrity and functional connectivity in the anterior cingulate cortex (ACC) and posterior superior temporal gyrus (pSTG), but it remains unclear whether these abnormalities persist over time. We examined whether structural and functional abnormalities in these two regions are present within the same subjects during depressed vs. remitted phases. Sixteen patients with LLD and 30 healthy subjects were studied over a period of 1.5 years. Brain images obtained with a 3-Tesla magnetic resonance imaging (MRI) system were analyzed by voxel-based morphometry of the GM volume, and diffusion tensor imaging (DTI) and resting-state functional MRI were used to assess ACC–pSTG connectivity. Patients with LLD in the depressed and remitted phases showed significantly smaller GM volume in the left ACC and left pSTG than healthy subjects. Both patients with LLD in the depressed and remitted phases had significantly higher diffusivities in the WM tract of the left ACC–pSTG than healthy subjects. Remitted patients with LLD showed lower functional ACC–pSTG connectivity compared to healthy subjects. No difference was found in the two regions between depressed and remitted patients in GM volume, structural or functional connectivity. Functional ACC–pSTG connectivity was positively correlated with lower global function during remission. Our preliminary data show that structural and functional abnormalities of the ACC and pSTG occur during LLD remission. Our findings tentatively reveal the brain pathophysiology involved in LLD and may aid in developing neuroanatomical biomarkers for this condition.
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Affiliation(s)
- Kenichiro Harada
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Toshikazu Ikuta
- Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, Jackson, MS, United States
| | - Mami Nakashima
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan.,Nagato-Ichinomiya Hospital, Shimonoseki, Japan
| | - Toshio Watanuki
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Masako Hirotsu
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Toshio Matsubara
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan.,Health Administration Center, Yamaguchi University Organization for University Education, Yamaguchi, Japan
| | - Hirotaka Yamagata
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Yoshifumi Watanabe
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
| | - Koji Matsuo
- Division of Neuropsychiatry, Department of Neuroscience, Yamaguchi University Graduate School of Medicine, Ube, Japan
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Wang J, Wei Q, Yuan X, Jiang X, Xu J, Zhou X, Tian Y, Wang K. Local functional connectivity density is closely associated with the response of electroconvulsive therapy in major depressive disorder. J Affect Disord 2018; 225:658-664. [PMID: 28910748 DOI: 10.1016/j.jad.2017.09.001] [Citation(s) in RCA: 57] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Revised: 08/13/2017] [Accepted: 09/02/2017] [Indexed: 11/24/2022]
Abstract
BACKGROUND Electroconvulsive therapy (ECT) has been demonstrated to be an effective treatment of major depressive disorder (MDD). However, the neuroanatomical basis of response to ECT is still largely unknown. METHODS In present study, we used functional connectivity density (FCD) and resting-state functional connectivity (RSFC) to identify the relationship between the changes of resting-state activities and ECT responses in 23 MDD patients before and after ECT. In addition, the identified neural indices as classification characteristics were entered into multivariate pattern analysis using linear support vector machine (SVM) to classify 23 MDD patients before ECT from 25 gender, age and years of education matched healthy controls. RESULTS We found that the changes of local FCD (lFCD), not long-range FCD, of the left pre-/postcentral gyrus (Pre-/postCG), left superior temporal gyrus (STG), and right STG were significantly correlated with the changes of Hamilton Rating Scale for Depression (HRSD) scores in MDD patients before and after ECT. The subsequent functional connectivity analysis revealed significantly decreased functional connectivity between right STG and right intraparietal sulcus (IPS) in MDD after ECT in spite of no correlation with HRSD scores. Finally, SVM-based classification achieved an accuracy of 72.92% with a sensitivity of 73.91% and a specificity of 72% by leave-one-out cross-validation. CONCLUSIONS Our findings indicated that Pre-/postCG and bilateral STG play an important role in response of ECT in MDD patients, and the lFCD in these areas may serve as a biomarker for predicting ECT response.
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Affiliation(s)
- Jiaojian Wang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 625014, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 625014, China.
| | - Qiang Wei
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Xinru Yuan
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 625014, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 625014, China
| | - Xiaoyan Jiang
- The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu 625014, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 625014, China
| | - Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | | | - Yanghua Tian
- Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China; Department of Neurology, Shannan People's Hospital, Shannan 856000, China.
| | - Kai Wang
- Department of Medical Psychology, Anhui Medical University, Hefei, China; Department of Neurology, the First Affiliated Hospital of Anhui Medical University, Hefei, China; Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China; Collaborative Innovation Center for Neuropsychiatric Disorders and Mental Health, Hefei, China.
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Li H, Chen Q, Lu J, Qiu J. Brain Structural Bases of Tendency to Forgive: evidence from a young adults sample using voxel-based morphometry. Sci Rep 2017; 7:16856. [PMID: 29203803 PMCID: PMC5715096 DOI: 10.1038/s41598-017-16868-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Accepted: 11/18/2017] [Indexed: 01/01/2023] Open
Abstract
Tendency to forgive refers to one's global dispositional level of forgiveness across situations and relationships. Brain imaging studies examined activation patterns underlying forgiving response, yet focal differences in brain structures related to tendency to forgive have never been investigated. In this study, voxel-based morphometry was used to investigate relations between gray matter/white matter volume (GMV/WMV) and individual differences in tendency to forgive in a large young sample. Participants were 199 young students (60 men) who completed the tendency to forgive scale (TTF) and underwent an anatomical magnetic resonance imaging scan. Results showed that higher TTF scores were associated with larger GMV in the regions of dorsolateral prefrontal cortex, and smaller GMV in the regions of the right insular cortex and inferior frontal gyrus (IFG). Moreover, higher TTF scores were also related to smaller WMV in the regions of the left IFG. Together, these findings suggest structural variations for individual differences in the tendency to forgive, distributed across different brain regions associated with empathic response and cognitive control.
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Affiliation(s)
- Haijiang Li
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China
| | - Qunlin Chen
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, China
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
| | - Jiamei Lu
- Department of Psychology, Shanghai Normal University, Shanghai, 200234, China.
| | - Jiang Qiu
- Key Laboratory of Cognition and Personality (SWU), Ministry of Education, Chongqing, 400715, China
- Faculty of Psychology, Southwest University, Chongqing, 400715, China
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Yang S, Cheng Y, Mo Y, Bai Y, Shen Z, Liu F, Li N, Jiang L, Chen W, Lu Y, Sun X, Xu X. Childhood maltreatment is associated with gray matter volume abnormalities in patients with first-episode depression. Psychiatry Res Neuroimaging 2017; 268:27-34. [PMID: 28843886 DOI: 10.1016/j.pscychresns.2017.07.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2016] [Revised: 06/26/2017] [Accepted: 07/25/2017] [Indexed: 12/27/2022]
Abstract
Previous neuroimaging studies suggest that childhood maltreatment (CM) can affect brain function and structure and constitutes a potent risk of developing depression. The present study attempts to differentiate the effect of CM from the impact of depression diagnosis on brain structure. Eighty-four patients with first-episode depression and 84 controls participated in this study. All subjects underwent a structural magnetic resonance imaging (MRI) scan. Voxel-based morphometric analysis of variance (ANOVA), between-group comparison, and regression analyses were performed on a whole-brain level to identify the unbiased effects of CM and depression on brain structure. Our data showed different main effects of CM and depression on brain structure separately: the significant main effect of CM on fronto-limbic areas, visual cortex and cerebellum, and the main effect of depression on orbitofrontal regions and bilateral temporal lobes. The maltreatment-by-diagnosis interaction effect was found located on the bilateral prefrontal cortex. The CM severity was negatively related with the inferior occipital volume and positively with volumes in the left dorsolateral prefrontal cortex, right caudate, and left middle temporal gyrus. This study suggested that early life stress like CM is associated with structural abnormalities of the fronto-limbic regions that are commonly regarded as the psychopathological consequence of depression. The effect of CM on brain structure should be considered in future neuroimaging research of depression.
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Affiliation(s)
- Shuran Yang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Yuqi Cheng
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Yin Mo
- Department of Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Yan Bai
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Zonglin Shen
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Fang Liu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Na Li
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Linling Jiang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Wei Chen
- Department of Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Yi Lu
- Department of Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Xuejin Sun
- Department of Imaging, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, People's Republic of China.
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Adamaszek M, D'Agata F, Ferrucci R, Habas C, Keulen S, Kirkby KC, Leggio M, Mariën P, Molinari M, Moulton E, Orsi L, Van Overwalle F, Papadelis C, Priori A, Sacchetti B, Schutter DJ, Styliadis C, Verhoeven J. Consensus Paper: Cerebellum and Emotion. THE CEREBELLUM 2017; 16:552-576. [PMID: 27485952 DOI: 10.1007/s12311-016-0815-8] [Citation(s) in RCA: 328] [Impact Index Per Article: 46.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Over the past three decades, insights into the role of the cerebellum in emotional processing have substantially increased. Indeed, methodological refinements in cerebellar lesion studies and major technological advancements in the field of neuroscience are in particular responsible to an exponential growth of knowledge on the topic. It is timely to review the available data and to critically evaluate the current status of the role of the cerebellum in emotion and related domains. The main aim of this article is to present an overview of current facts and ongoing debates relating to clinical, neuroimaging, and neurophysiological findings on the role of the cerebellum in key aspects of emotion. Experts in the field of cerebellar research discuss the range of cerebellar contributions to emotion in nine topics. Topics include the role of the cerebellum in perception and recognition, forwarding and encoding of emotional information, and the experience and regulation of emotional states in relation to motor, cognitive, and social behaviors. In addition, perspectives including cerebellar involvement in emotional learning, pain, emotional aspects of speech, and neuropsychiatric aspects of the cerebellum in mood disorders are briefly discussed. Results of this consensus paper illustrate how theory and empirical research have converged to produce a composite picture of brain topography, physiology, and function that establishes the role of the cerebellum in many aspects of emotional processing.
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Affiliation(s)
- M Adamaszek
- Department of Clinical and Cognitive Neurorehabilitation, Klinik Bavaria Kreischa, An der Wolfsschlucht, 01731, Kreischa, Germany.
| | - F D'Agata
- Department of Neuroscience, University of Turin, Turin, Italy
| | - R Ferrucci
- Fondazione IRCCS Ca' Granda, Granada, Italy
- Università degli Studi di Milano, Milan, Italy
| | - C Habas
- Service de NeuroImagerie (NeuroImaging department) Centre Hospitalier national D'Ophtalmologie des 15/20, Paris, France
| | - S Keulen
- Department of Clinical and Experimental Neurolinguistics, CLIEN, Vrije Universiteit Brussel, Brussels, Belgium
- Center for Language and Cognition Groningen, Rijksuniversiteit Groningen, Groningen, The Netherlands
| | - K C Kirkby
- Psychiatry, School of Medicine, University of Tasmania, Hobart, Australia
| | - M Leggio
- I.R.C.C.S. Santa Lucia Foundation, Rome, Italy
- Department of Psychology, Sapienza University of Rome, Rome, Italy
| | - P Mariën
- Department of Clinical and Experimental Neurolinguistics, CLIEN, Vrije Universiteit Brussel, Brussels, Belgium
- Department of Neurology and Memory Clinic, ZNA Middelheim Hospital, Antwerp, Belgium
| | - M Molinari
- I.R.C.C.S. Santa Lucia Foundation, Rome, Italy
| | - E Moulton
- P.A.I.N. Group, Center for Pain and the Brain, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - L Orsi
- Neurologic Division 1, Department of Neuroscience and Mental Health, Città della Salute e della Scienza di Torino, Turin, Italy
| | - F Van Overwalle
- Faculty of Psychology and Educational Sciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - C Papadelis
- Fetal-Neonatal Neuroimaging and Developmental Center, Boston Children's Hospital, Boston, MA, USA
- Division of Newborn Medicine, Department of Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - A Priori
- Fondazione IRCCS Ca' Granda, Granada, Italy
- Università degli Studi di Milano, Milan, Italy
- III Clinica Neurologica, Polo Ospedaliero San Paolo, San Paolo, Italy
| | - B Sacchetti
- Department of Neuroscience, Section of Physiology, University of Turin, Torino, Italy
| | - D J Schutter
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - C Styliadis
- Medical School, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - J Verhoeven
- Department of Language and Communication Science, City University, London, UK
- Computational Linguistics and Psycholinguistics Research Center (CLIPS), Universiteit Antwerpen, Antwerp, Belgium
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50
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Bergamino M, Farmer M, Yeh HW, Paul E, Hamilton JP. Statistical differences in the white matter tracts in subjects with depression by using different skeletonized voxel-wise analysis approaches and DTI fitting procedures. Brain Res 2017. [DOI: 10.1016/j.brainres.2017.06.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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