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Liu W, Jiang X, Deng Z, Xie Y, Guo Y, Wu Y, Sun Q, Kong L, Wu F, Tang Y. Functional and structural alterations in different durations of untreated illness in the frontal and parietal lobe in major depressive disorder. Eur Arch Psychiatry Clin Neurosci 2024; 274:629-642. [PMID: 37542558 PMCID: PMC10995069 DOI: 10.1007/s00406-023-01625-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Accepted: 05/22/2023] [Indexed: 08/07/2023]
Abstract
Major depressive disorder (MDD) is one of the most disabling illnesses that profoundly restricts psychosocial functions and impairs quality of life. However, the treatment rate of MDD is surprisingly low because the availability and acceptability of appropriate treatments are limited. Therefore, identifying whether and how treatment delay affects the brain and the initial time point of the alterations is imperative, but these changes have not been thoroughly explored. We investigated the functional and structural alterations of MDD for different durations of untreated illness (DUI) using regional homogeneity (ReHo) and voxel-based morphometry (VBM) with a sample of 125 treatment-naïve MDD patients and 100 healthy controls (HCs). The MDD patients were subgrouped based on the DUI, namely, DUI ≤ 1 M, 1 < DUI ≤ 6 M, 6 < DUI ≤ 12 M, and 12 < DUI ≤ 48 M. Subgroup comparison (MDD with different DUIs) was applied to compare ReHo and grey matter volume (GMV) extracted from clusters of regions with significant differences (the pooled MDD patients relative to HCs). Correlations and mediation effects were analysed to estimate the relationships between the functional and structural neuroimaging changes and clinical characteristics. MDD patients exhibited decreased ReHo in the left postcentral gyrus and precentral gyrus and reduced GMV in the left middle frontal gyrus and superior frontal gyrus relative to HCs. The initial functional abnormalities were detected after being untreated for 1 month, whereas this duration was 3 months for GMV reduction. Nevertheless, a transient increase in ReHo was observed after being untreated for 3 months. No significant differences were discovered between HCs and MDD patients with a DUI less than 1 month or among MDD patients with different DUIs in either ReHo or GMV. Longer DUI was related to reduced ReHo with GMV as mediator in MDD patients. We identified disassociated functional and anatomical alterations in treatment-naïve MDD patients at different time points in distinct brain regions at the early stage of the disease. Additionally, we also discovered that GMV mediated the relationship between a longer DUI and diminished ReHo in MDD patients, disclosing the latent deleterious and neuro-progressive implications of DUI on both the structure and function of the brain and indicating the necessity of early treatment of MDD.
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Affiliation(s)
- Wen Liu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Xiaowei Jiang
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Radiology, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Zijing Deng
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yu Xie
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yingrui Guo
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yifan Wu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Qikun Sun
- Department of Radiation Oncology, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Lingtao Kong
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Feng Wu
- Brain Function Research Section, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China
| | - Yanqing Tang
- Department of Psychiatry, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China.
- Department of Gerontology, The First Hospital of China Medical University, Shenyang, 110001, Liaoning, People's Republic of China.
- Department of Psychiatry and Geriatric Medicine, The First Hospital of China Medical University, 155 Nanjing North Street, Shenyang, 110001, Liaoning, People's Republic of China.
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Martino M, Magioncalda P. A three-dimensional model of neural activity and phenomenal-behavioral patterns. Mol Psychiatry 2024; 29:639-652. [PMID: 38114633 DOI: 10.1038/s41380-023-02356-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 11/16/2023] [Accepted: 11/27/2023] [Indexed: 12/21/2023]
Abstract
How phenomenal experience and behavior are related to neural activity in physiology and psychopathology represents a fundamental question in neuroscience and psychiatry. The phenomenal-behavior patterns may be deconstructed into basic dimensions, i.e., psychomotricity, affectivity, and thought, which might have distinct neural correlates. This work provides a data overview on the relationship of these phenomenal-behavioral dimensions with brain activity across physiological and pathological conditions (including major depressive disorder, bipolar disorder, schizophrenia, attention-deficit/hyperactivity disorder, anxiety disorders, addictive disorders, Parkinson's disease, Tourette syndrome, Alzheimer's disease, and frontotemporal dementia). Accordingly, we propose a three-dimensional model of neural activity and phenomenal-behavioral patterns. In this model, neural activity is organized into distinct units in accordance with connectivity patterns and related input/output processing, manifesting in the different phenomenal-behavioral dimensions. (1) An external neural unit, which involves the sensorimotor circuit/brain's sensorimotor network and is connected with the external environment, processes external inputs/outputs, manifesting in the psychomotor dimension (processing of exteroception/somatomotor activity). External unit hyperactivity manifests in psychomotor excitation (hyperactivity/hyperkinesia/catatonia), while external unit hypoactivity manifests in psychomotor inhibition (retardation/hypokinesia/catatonia). (2) An internal neural unit, which involves the interoceptive-autonomic circuit/brain's salience network and is connected with the internal/body environment, processes internal inputs/outputs, manifesting in the affective dimension (processing of interoception/autonomic activity). Internal unit hyperactivity manifests in affective excitation (anxiety/dysphoria-euphoria/panic), while internal unit hypoactivity manifests in affective inhibition (anhedonia/apathy/depersonalization). (3) An associative neural unit, which involves the brain's associative areas/default-mode network and is connected with the external/internal units (but not with the environment), processes associative inputs/outputs, manifesting in the thought dimension (processing of ideas). Associative unit hyperactivity manifests in thought excitation (mind-wandering/repetitive thinking/psychosis), while associative unit hypoactivity manifests in thought inhibition (inattention/cognitive deficit/consciousness loss). Finally, these neural units interplay and dynamically combine into various neural states, resulting in the complex phenomenal experience and behavior across physiology and neuropsychiatric disorders.
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Affiliation(s)
- Matteo Martino
- Graduate Institute of Mind Brain and Consciousness, Taipei Medical University, Taipei, Taiwan.
| | - Paola Magioncalda
- Graduate Institute of Mind Brain and Consciousness, Taipei Medical University, Taipei, Taiwan.
- International Master/Ph.D. Program in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.
- Department of Radiology, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
- Department of Medical Research, Taipei Medical University-Shuang Ho Hospital, New Taipei City, Taiwan.
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Wang X, Hoffstaedter F, Kasper J, Eickhoff SB, Patil KR, Dukart J. Lifetime Exposure to Depression and Neuroimaging Measures of Brain Structure and Function. JAMA Netw Open 2024; 7:e2356787. [PMID: 38372997 PMCID: PMC10877455 DOI: 10.1001/jamanetworkopen.2023.56787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Accepted: 12/28/2023] [Indexed: 02/20/2024] Open
Abstract
Importance Despite decades of neuroimaging studies reporting brain structural and functional alterations in depression, discrepancies in findings across studies and limited convergence across meta-analyses have raised questions about the consistency and robustness of the observed brain phenotypes. Objective To investigate the associations between 6 operational criteria of lifetime exposure to depression and functional and structural neuroimaging measures. Design, Setting, and Participants This cross-sectional study analyzed data from a UK Biobank cohort of individuals aged 45 to 80 years who were enrolled between January 1, 2014, and December 31, 2018. Participants included individuals with a lifetime exposure to depression and matched healthy controls without indications of psychosis, mental illness, behavior disorder, and disease of the nervous system. Six operational criteria of lifetime exposure to depression were evaluated: help seeking for depression; self-reported depression; antidepressant use; depression definition by Smith et al; hospital International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD-10) diagnosis codes F32 and F33; and Composite International Diagnostic Interview Short Form score. Six increasingly restrictive depression definitions and groups were defined based on the 6 depression criteria, ranging from meeting only 1 criterion to meeting all 6 criteria. Data were analyzed between January and October 2022. Main Outcomes and Measures Functional measures were calculated using voxel-wise fractional amplitude of low-frequency fluctuation (fALFF), global correlation (GCOR), and local correlation (LCOR). Structural measures were calculated using gray matter volume (GMV). Results The study included 20 484 individuals with lifetime depression (12 645 females [61.7%]; mean [SD] age, 63.91 [7.60] years) and 25 462 healthy controls (14 078 males [55.3%]; mean [SD] age, 65.05 [7.8] years). Across all depression criteria, individuals with lifetime depression displayed regionally consistent decreases in fALFF, LCOR, and GCOR (Cohen d range, -0.53 [95% CI, -0.88 to -0.15] to -0.04 [95% CI, -0.07 to -0.01]) but not in GMV (Cohen d range, -0.47 [95 % CI, -0.75 to -0.12] to 0.26 [95% CI, 0.15-0.37]). Hospital ICD-10 diagnosis codes F32 and F33 (median [IQR] difference in effect sizes, -0.14 [-0.17 to -0.11]) and antidepressant use (median [IQR] difference in effect sizes, -0.12 [-0.16 to -0.10]) were criteria associated with the most pronounced alterations. Conclusions and Relevance Results of this cross-sectional study indicate that lifetime exposure to depression was associated with robust functional changes, with a more restrictive depression definition revealing more pronounced alterations. Different inclusion criteria for depression may be associated with the substantial variation in imaging findings reported in the literature.
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Affiliation(s)
- Xinyi Wang
- School of Biological Sciences and Medical Engineering, Child Development, and Learning Science, Key Laboratory of Ministry of Education, Southeast University, Nanjing, China
- Institute of Neuroscience and Medicine, INM-7: Brain and Behaviour, Research Centre Jülich, Jülich, Germany
| | - Felix Hoffstaedter
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, INM-7: Brain and Behaviour, Research Centre Jülich, Jülich, Germany
| | - Jan Kasper
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, INM-7: Brain and Behaviour, Research Centre Jülich, Jülich, Germany
| | - Simon B. Eickhoff
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, INM-7: Brain and Behaviour, Research Centre Jülich, Jülich, Germany
| | - Kaustubh R. Patil
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, INM-7: Brain and Behaviour, Research Centre Jülich, Jülich, Germany
| | - Juergen Dukart
- Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Institute of Neuroscience and Medicine, INM-7: Brain and Behaviour, Research Centre Jülich, Jülich, Germany
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Hu Y, Li S, Li J, Zhao Y, Li M, Cui W, Peng X, Dong Z, Zhang L, Xu H, Gao L, Huang X, Kuang W, Gong Q, Liu H. Impaired visual-motor functional connectivity in first-episode medication-naïve patients with major depressive disorder. Cereb Cortex 2024; 34:bhad387. [PMID: 37991260 PMCID: PMC10793073 DOI: 10.1093/cercor/bhad387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 09/29/2023] [Indexed: 11/23/2023] Open
Abstract
The perceptual dysfunctions have been fundamental causes of cognitive and emotional problems in patients with major depressive disorder. However, visual system impairment in depression has been underexplored. Here, we explored functional connectivity in a large cohort of first-episode medication-naïve patients with major depressive disorder (n = 190) and compared it with age- and sex-matched healthy controls (n = 190). A recently developed individual-oriented approach was applied to parcellate the cerebral cortex into 92 regions of interest using resting-state functional magnetic resonance imaging data. Significant reductions in functional connectivities were observed between the right lateral occipitotemporal junction within the visual network and 2 regions of interest within the sensorimotor network in patients. The volume of right lateral occipitotemporal junction was also significantly reduced in major depressive disorder patients, indicating that this visual region is anatomically and functionally impaired. Behavioral correlation analysis showed that the reduced functional connectivities were significantly associated with inhibition control in visual-motor processing in patients. Taken together, our data suggest that functional connectivity between visual network and sensorimotor network already shows a significant reduction in the first episode of major depressive disorder, which may interfere with the inhibition control in visual-motor processing. The lateral occipitotemporal junction may be a hub of disconnection and may play a role in the pathophysiology of major depressive disorder.
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Affiliation(s)
- Yongbo Hu
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
- Department of Neurology, The Third People’s Hospital of Chengdu, Chengdu 610031, China
| | - Shiyi Li
- Changping Laboratory, Science Park Road, Changping District, Beijing 100001, China
| | - Jin Li
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Youjin Zhao
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Meiling Li
- Changping Laboratory, Science Park Road, Changping District, Beijing 100001, China
| | - Weigang Cui
- School of Engineering Medicine, Beihang University, Bejing 100083, China
| | - Xiaolong Peng
- Department of Neuroscience, Medical University of South Carolina, Charleston, SC 29425, United States
| | - Zaiquan Dong
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Lianqing Zhang
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Haizhen Xu
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Li Gao
- Department of Neurology, The Third People’s Hospital of Chengdu, Chengdu 610031, China
| | - Xiaoqi Huang
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu 610041, China
- Functional and Molecular Imaging Key Laboratory of Sichuan Province, West China Hospital of Sichuan University, Chengdu 610041, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu 610041, China
| | - Weihong Kuang
- Department of Psychiatry, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Qiyong Gong
- Department of Radiology, Huaxi MR Research Center (HMRRC), West China Hospital of Sichuan University, Chengdu 610041, China
- Department of Radiology, West China Xiamen Hospital of Sichuan University, Xiamen 361000, China
| | - Hesheng Liu
- Changping Laboratory, Science Park Road, Changping District, Beijing 100001, China
- Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China
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Dehdar K, Raoufy MR. Brain structural and functional alterations related to anxiety in allergic asthma. Brain Res Bull 2023; 202:110727. [PMID: 37562517 DOI: 10.1016/j.brainresbull.2023.110727] [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: 05/01/2023] [Revised: 07/29/2023] [Accepted: 08/03/2023] [Indexed: 08/12/2023]
Abstract
Psychiatric disorders are common in patients with allergic asthma, and they can have a significant impact on their quality of life and disease control. Recent studies have suggested that there may be potential immune-brain communication mechanisms in asthma, which can activate inflammatory responses in different brain areas, leading to structural and functional alterations and behavioral changes. However, the precise mechanisms underlying these alterations remain unclear. In this paper, we comprehensively review the relevant research on asthma-induced brain structural and functional alterations that lead to the initiation and promotion of anxiety. We summarize the possible pathways for peripheral inflammation to affect the brain's structure and function. Our review highlights the importance of addressing neuropsychiatric disorders in the clinical guidelines of asthma, to improve the quality of life of these patients. We suggest that a better understanding of the mechanisms underlying psychiatric comorbidities in asthma could lead to the development of more effective treatments for these patients.
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Affiliation(s)
- Kolsoum Dehdar
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mohammad Reza Raoufy
- Department of Physiology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
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Bashford-Largo J, R Blair RJ, Blair KS, Dobbertin M, Dominguez A, Hatch M, Bajaj S. Identification of structural brain alterations in adolescents with depressive symptomatology. Brain Res Bull 2023; 201:110723. [PMID: 37536609 PMCID: PMC10451038 DOI: 10.1016/j.brainresbull.2023.110723] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Revised: 07/10/2023] [Accepted: 07/28/2023] [Indexed: 08/05/2023]
Abstract
INTRODUCTION Depressive symptoms can emerge as early as childhood and may lead to adverse situations in adulthood. Studies have examined structural brain alternations in individuals with depressive symptoms, but findings remain inconclusive. Furthermore, previous studies have focused on adults or used a categorical approach to assess depression. The current study looks to identify grey matter volumes (GMV) that predict depressive symptomatology across a clinically concerning sample of adolescents. METHODS Structural MRI data were collected from 338 clinically concerning adolescents (mean age = 15.30 SD=2.07; mean IQ = 101.01 SD=12.43; 132 F). Depression symptoms were indexed via the Mood and Feelings Questionnaire (MFQ). Freesurfer was used to parcellate the brain into 68 cortical regions and 14 subcortical regions. GMV was extracted from all 82 brain areas. Multiple linear regression was used to look at the relationship between MFQ scores and region-specific GMV parameter. Follow up regressions were conducted to look at potential effects of psychiatric diagnoses and medication intake. RESULTS Our regression analysis produced a significant model (R2 = 0.446, F(86, 251) = 2.348, p < 0.001). Specifically, there was a negative association between GMV of the left parahippocampal (B = -0.203, p = 0.005), right rostral anterior cingulate (B = -0.162, p = 0.049), and right frontal pole (B = -0.147, p = 0.039) and a positive association between GMV of the left bank of the superior temporal sulcus (B = 0.173, p = 0.029). Follow up analyses produced results proximal to the main analysis. CONCLUSIONS Altered regional brain volumes may serve as biomarkers for the development of depressive symptoms during adolescence. These findings suggest a homogeneity of altered cortical structures in adolescents with depressive symptoms.
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Affiliation(s)
- Johannah Bashford-Largo
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA; Center for Brain, Biology, and Behavior, University of Nebraska-Lincoln, Lincoln, NE, USA.
| | - R James R Blair
- Child and Adolescent Mental Health Centre, Mental Health Services, Capital Region of Denmark, Copenhagen, Denmark
| | - Karina S Blair
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Matthew Dobbertin
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA; Child and Adolescent Inpatient Psychiatric Unit, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Ahria Dominguez
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Melissa Hatch
- Multimodal Clinical Neuroimaging Laboratory (MCNL), Center for Neurobehavioral Research, Boys Town National Research Hospital, Boys Town, NE, USA
| | - Sahil Bajaj
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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Yang C, Xiao K, Ao Y, Cui Q, Jing X, Wang Y. The thalamus is the causal hub of intervention in patients with major depressive disorder: Evidence from the Granger causality analysis. Neuroimage Clin 2023; 37:103295. [PMID: 36549233 PMCID: PMC9795532 DOI: 10.1016/j.nicl.2022.103295] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022]
Abstract
Major depressive disorder (MDD) is the leading mental disorder and afflicts more than 350 million people worldwide. The underlying neural mechanisms of MDD remain unclear, hindering the accurate treatment. Recent brain imaging studies have observed functional abnormalities in multiple brain regions in patients with MDD, identifying core brain regions is the key to locating potential therapeutic targets for MDD. The Granger causality analysis (GCA) measures directional effects between brain regions and, therefore, can track causal hubs as potential intervention targets for MDD. We reviewed literature employing GCA to investigate abnormal brain connections in patients with MDD. The total degree of effective connections in the thalamus (THA) is more than twice that in traditional targets such as the superior frontal gyrus and anterior cingulate cortex. Altered causal connections in patients with MDD mainly included enhanced bottom-up connections from the thalamus to various cortical and subcortical regions and reduced top-down connections from these regions to the THA, indicating excessive uplink sensory information and insufficient downlink suppression information for negative emotions. We suggest that the thalamus is the most crucial causal hub for MDD, which may serve as the downstream target for non-invasive brain stimulation and medication approaches in MDD treatment.
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Affiliation(s)
- Chengxiao Yang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Kunchen Xiao
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Yujia Ao
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China
| | - Qian Cui
- School of Public Affairs and Administration, University of Electronic Science and Technology of China, Chengdu, 611731, China
| | - Xiujuan Jing
- Tianfu College of Southwestern University of Finance and Economics, Chengdu 610052, China
| | - Yifeng Wang
- Institute of Brain and Psychological Sciences, Sichuan Normal University, Chengdu, China.
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Gray JP, Manuello J, Alexander-Bloch AF, Leonardo C, Franklin C, Choi KS, Cauda F, Costa T, Blangero J, Glahn DC, Mayberg HS, Fox PT. Co-alteration Network Architecture of Major Depressive Disorder: A Multi-modal Neuroimaging Assessment of Large-scale Disease Effects. Neuroinformatics 2022; 21:443-455. [PMID: 36469193 DOI: 10.1007/s12021-022-09614-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/06/2022] [Indexed: 12/12/2022]
Abstract
Major depressive disorder (MDD) exhibits diverse symptomology and neuroimaging studies report widespread disruption of key brain areas. Numerous theories underpinning the network degeneration hypothesis (NDH) posit that neuropsychiatric diseases selectively target brain areas via meaningful network mechanisms rather than as indistinct disease effects. The present study tests the hypothesis that MDD is a network-based disorder, both structurally and functionally. Coordinate-based meta-analysis and Activation Likelihood Estimation (CBMA-ALE) were used to assess the convergence of findings from 92 previously published studies in depression. An extension of CBMA-ALE was then used to generate a node-and-edge network model representing the co-alteration of brain areas impacted by MDD. Standardized measures of graph theoretical network architecture were assessed. Co-alteration patterns among the meta-analytic MDD nodes were then tested in independent, clinical T1-weighted structural magnetic resonance imaging (MRI) and resting-state functional (rs-fMRI) data. Differences in co-alteration profiles between MDD patients and healthy controls, as well as between controls and clinical subgroups of MDD patients, were assessed. A 65-node 144-edge co-alteration network model was derived for MDD. Testing of co-alteration profiles in replication data using the MDD nodes provided distinction between MDD and healthy controls in structural data. However, co-alteration profiles were not distinguished between patients and controls in rs-fMRI data. Improved distinction between patients and healthy controls was observed in clinically homogenous MDD subgroups in T1 data. MDD abnormalities demonstrated both structural and functional network architecture, though only structural networks exhibited between-groups differences. Our findings suggest improved utility of structural co-alteration networks for ongoing biomarker development.
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Miskowiak KW, Yalin N, Seeberg I, Burdick KE, Balanzá‐Martínez V, Bonnin CDM, Bowie CR, Carvalho AF, Dols A, Douglas K, Gallagher P, Hasler G, Kessing LV, Lafer B, Lewandowski KE, López‐Jaramillo C, Martinez‐Aran A, McIntyre RS, Porter RJ, Purdon SE, Schaffer A, Sumiyoshi T, Torres IJ, Van Rheenen TE, Yatham LN, Young AH, Vieta E, Stokes PRA. Can magnetic resonance imaging enhance the assessment of potential new treatments for cognitive impairment in mood disorders? A systematic review and position paper by the International Society for Bipolar Disorders Targeting Cognition Task Force. Bipolar Disord 2022; 24:615-636. [PMID: 35950925 PMCID: PMC9826389 DOI: 10.1111/bdi.13247] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Developing treatments for cognitive impairment is key to improving the functioning of people with mood disorders. Neuroimaging may assist in identifying brain-based efficacy markers. This systematic review and position paper by the International Society for Bipolar Disorders Targeting Cognition Task Force examines the evidence from neuroimaging studies of pro-cognitive interventions. METHODS We included magnetic resonance imaging (MRI) studies of candidate interventions in people with mood disorders or healthy individuals, following the procedures of the Preferred Reporting Items for Systematic reviews and Meta-Analysis 2020 statement. Searches were conducted on PubMed/MEDLINE, PsycInfo, EMBASE, Cochrane Library, and Clinicaltrials.gov from inception to 30th April 2021. Two independent authors reviewed the studies using the National Heart, Lung, Blood Institutes of Health Quality Assessment Tool for Controlled Intervention Studies and the quality of neuroimaging methodology assessment checklist. RESULTS We identified 26 studies (N = 702). Six investigated cognitive remediation or pharmacological treatments in mood disorders (N = 190). In healthy individuals, 14 studies investigated pharmacological interventions (N = 319), 2 cognitive training (N = 73) and 4 neuromodulatory treatments (N = 120). Methodologies were mostly rated as 'fair'. 77% of studies investigated effects with task-based fMRI. Findings varied but most consistently involved treatment-associated cognitive control network (CCN) activity increases with cognitive improvements, or CCN activity decreases with no cognitive change, and increased functional connectivity. In mood disorders, treatment-related default mode network suppression occurred. CONCLUSIONS Modulation of CCN and DMN activity is a putative efficacy biomarker. Methodological recommendations are to pre-declare intended analyses and use task-based fMRI, paradigms probing the CCN, longitudinal assessments, mock scanning, and out-of-scanner tests.
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Affiliation(s)
- Kamilla W. Miskowiak
- Copenhagen Affective disorder Research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalCopenhagenDenmark,Department of PsychologyUniversity of CopenhagenCopenhagenDenmark
| | - Nefize Yalin
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Ida Seeberg
- Copenhagen Affective disorder Research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalCopenhagenDenmark
| | - Katherine E. Burdick
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA,Department of PsychiatryBrigham and Women's HospitalBostonMassachusettsUSA
| | - Vicent Balanzá‐Martínez
- Teaching Unit of Psychiatry and Psychological Medicine, Department of MedicineUniversity of Valencia, CIBERSAMValenciaSpain
| | - Caterina del Mar Bonnin
- Clinical Institute of Neuroscience, Hospital ClinicUniversity of Barcelona, IDIBAPS, CIBERSAMBarcelonaSpain
| | | | - Andre F. Carvalho
- IMPACT Strategic Research Centre (Innovation in Mental and Physical Health and Clinical Treatment)Deakin UniversityGeelongVictoriaAustralia
| | - Annemieke Dols
- Department of Old Age Psychiatry, GGZ in Geest, Amsterdam UMC, location VUmc, Amsterdam NeuroscienceAmsterdam Public Health research instituteAmsterdamThe Netherlands
| | - Katie Douglas
- Department of Psychological MedicineUniversity of OtagoChristchurchNew Zealand
| | - Peter Gallagher
- Translational and Clinical Research Institute, Faculty of Medical SciencesNewcastle UniversityNewcastle‐upon‐TyneUK
| | - Gregor Hasler
- Psychiatry Research UnitUniversity of FribourgFribourgSwitzerland
| | - Lars V. Kessing
- Copenhagen Affective disorder Research Centre (CADIC), Psychiatric Centre CopenhagenCopenhagen University HospitalCopenhagenDenmark,Department of Clinical MedicineUniversity of CopenhagenCopenhagenDenmark
| | - Beny Lafer
- Bipolar Disorder Research Program, Institute of Psychiatry, Hospital das Clinicas, Faculdade de MedicinaUniversidade de São PauloSão PauloBrazil
| | - Kathryn E. Lewandowski
- Department of PsychiatryHarvard Medical SchoolBostonMassachusettsUSA,McLean HospitalSchizophrenia and Bipolar Disorder ProgramBelmontMassachusettsUSA
| | - Carlos López‐Jaramillo
- Research Group in Psychiatry, Department of PsychiatryUniversidad de AntioquiaMedellínColombia
| | - Anabel Martinez‐Aran
- Clinical Institute of Neuroscience, Hospital ClinicUniversity of Barcelona, IDIBAPS, CIBERSAMBarcelonaSpain
| | - Roger S. McIntyre
- Mood Disorders Psychopharmacology Unit, Brain and Cognition Discovery FoundationUniversity of TorontoTorontoCanada
| | - Richard J. Porter
- Department of Psychological MedicineUniversity of OtagoChristchurchNew Zealand
| | - Scot E. Purdon
- Department of PsychiatryUniversity of AlbertaEdmontonCanada
| | - Ayal Schaffer
- Department of PsychiatryUniversity of TorontoTorontoCanada
| | - Tomiki Sumiyoshi
- Department of Preventive Intervention for Psychiatric Disorders, National Institute of Mental HealthNational Center of Neurology and PsychiatryTokyoJapan
| | - Ivan J. Torres
- Department of PsychiatryUniversity of British ColumbiaVancouverCanada
| | - Tamsyn E. Van Rheenen
- Melbourne Neuropsychiatry Centre, Department of PsychiatryUniversity of MelbourneCarltonAustralia,Centre for Mental Health, Faculty of Health, Arts and DesignSwinburne UniversityHawthornAustralia
| | - Lakshmi N. Yatham
- Department of PsychiatryUniversity of British ColumbiaVancouverCanada
| | - Allan H. Young
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
| | - Eduard Vieta
- Clinical Institute of Neuroscience, Hospital ClinicUniversity of Barcelona, IDIBAPS, CIBERSAMBarcelonaSpain
| | - Paul R. A. Stokes
- Department of Psychological MedicineInstitute of Psychiatry, Psychology and Neuroscience, King's College LondonLondonUK
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10
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Li Q, Zhao W, Liu S, Zhao Y, Pan W, Wang X, Liu Z, Xu Y. Partial resistance to citalopram in a Wistar-Kyoto rat model of depression: An evaluation using resting-state functional MRI and graph analysis. J Psychiatr Res 2022; 151:242-251. [PMID: 35500452 DOI: 10.1016/j.jpsychires.2022.04.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 03/20/2022] [Accepted: 04/18/2022] [Indexed: 10/18/2022]
Abstract
Wistar-Kyoto (WKY) rats as an endogenous depression model partially lack a response to classic selective serotonin reuptake inhibitors (SSRIs). Thus, this strain has the potential to be established as a model of treatment-resistant depression (TRD). However, the SSRI resistance in WKY rats is still not fully understood. In this study, WKY and control rats were subjected to a series of tests, namely, a forced swim test (FST), a sucrose preference test (SPT), and an open field test (OFT), and were scanned in a 7.0-T MRI scanner before and after three-week citalopram or saline administration. Behavioral results demonstrated that WKY rats had increased immobility in the FST and decreased sucrose preference in the SPT and central time spent in the OFT. However, citalopram did not improve immobility in the FST. The amplitude of low-frequency fluctuation (ALFF) analysis showed regional changes in the striatum and hippocampus of WKY rats. However, citalopram partially reversed the ALFF value in the dorsal part of the two regions. Functional connectivity (FC) analysis showed that FC strengths were decreased in WKY rats compared with controls. Nevertheless, citalopram partially increased FC strengths in WKY rats. Based on FC, global graph analysis demonstrated decreased network efficiency in WKY + saline group compared with control + saline group, but citalopram showed weak network efficiency improvement. In conclusion, resting-state fMRI results implied widely affected brain function at both regional and global levels in WKY rats. Citalopram had only partial effects on these functional changes, indicating a potential treatment resistance mechanism.
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Affiliation(s)
- Qi Li
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, First Hospital of Shanxi Medical University, Taiyuan, China; Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, 20147, USA
| | - Wentao Zhao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yu Zhao
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, First Hospital of Shanxi Medical University, Taiyuan, China; National Key Disciplines, Key Laboratory for Cellular Physiology of Ministry of Education, Department of Neurobiology, Shanxi Medical University, Taiyuan, China
| | - Weixing Pan
- Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, VA, 20147, USA
| | - Xiao Wang
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Zhifen Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, First Hospital of Shanxi Medical University, Taiyuan, China.
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; Shanxi Provincial Key Laboratory of Brain Science and Neuropsychiatric Diseases, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Mental Health, Shanxi Medical University, Taiyuan, China; National Key Disciplines, Key Laboratory for Cellular Physiology of Ministry of Education, Department of Neurobiology, Shanxi Medical University, Taiyuan, China.
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11
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Myoraku A, Lang A, Taylor CT, Scott Mackin R, Meyerhoff DJ, Mueller S, Strigo IA, Tosun D. Age-dependent brain morphometry in Major Depressive disorder. Neuroimage Clin 2021; 33:102924. [PMID: 34959051 PMCID: PMC8718744 DOI: 10.1016/j.nicl.2021.102924] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2021] [Revised: 12/01/2021] [Accepted: 12/20/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is a complex disorder that affects nearly 264 million people worldwide. Structural brain abnormalities in multiple neuroanatomical networks have been implicated in the etiology of MDD, but the degree to which MDD affects brain structure during early to late adulthood is unclear. METHODS We examined morphometry of brain regions commonly implicated in MDD, including the amygdala, hippocampus, anterior cingulate gyrus, lateral orbitofrontal gyrus, subgenual cortex, and insular cortex subregions, from early to late adulthood. Harmonized measures for gray matter (GM) volume and cortical thickness of each region were estimated cross-sectionally for 305 healthy controls (CTLs) and 247 individuals with MDD (MDDs), collated from four research cohorts. We modeled the nonlinear associations of age with GM volume and cortical thickness using generalized additive modeling and tested for age-dependent group differences. RESULTS Overall, all investigated regions exhibited smaller GM volume and thinner cortical measures with increasing age. Compared to age matched CTLs, MDDs had thicker cortices and greater GM volume from early adulthood until early middle age (average 35 years), but thinner cortices and smaller GM volume during and after middle age in the lateral orbital gyrus and all insular subregions. Deviations of the MDD and CTL models for both GM volume and cortical thickness in these regions started as early as age 18. CONCLUSIONS The analyses revealed that brain morphometry differences between MDDs and CTLs are dependent on age and brain region. The significant age-by-group interactions in the lateral orbital frontal gyrus and insular subregions make these regions potential targets for future longitudinal studies of MDD.
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Affiliation(s)
- Alison Myoraku
- Northern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, United States; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, United States.
| | - Adam Lang
- Northern California Institute for Research and Education, San Francisco, CA 94121, United States
| | - Charles T Taylor
- Department of Psychiatry, University of California, San Diego School of Medicine, San Diego, CA 92093, United States
| | - R Scott Mackin
- Northern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Psychiatry and Behavioral Sciences, Weill Institute for Neuroscience, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Dieter J Meyerhoff
- Northern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Susanne Mueller
- Northern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, United States
| | - Irina A Strigo
- Department of Psychiatry, University of California San Francisco, San Francisco, CA 94143, United States; Emotion and Pain Laboratory, San Francisco Veterans Affairs Health Care Center, San Francisco, CA 94121, United States
| | - Duygu Tosun
- Northern California Institute for Research and Education, San Francisco, CA 94121, United States; Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA 94143, United States
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12
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Han KM, Ham BJ. How Inflammation Affects the Brain in Depression: A Review of Functional and Structural MRI Studies. J Clin Neurol 2021; 17:503-515. [PMID: 34595858 PMCID: PMC8490908 DOI: 10.3988/jcn.2021.17.4.503] [Citation(s) in RCA: 53] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Revised: 08/30/2021] [Accepted: 08/30/2021] [Indexed: 12/27/2022] Open
Abstract
This narrative review discusses how peripheral and central inflammation processes affect brain function and structure in depression, and reports on recent peripheral inflammatory marker-based functional and structural magnetic resonance imaging (MRI) studies from the perspective of neural-circuit dysfunction in depression. Chronic stress stimulates the activity of microglial cells, which increases the production of pro-inflammatory cytokines in the brain. In addition, microglial activation promotes a shift from the synthesis of serotonin to the synthesis of neurotoxic metabolites of the kynurenine pathway, which induces glutamate-mediated excitotoxicity in neurons. Furthermore, the region specificity of microglial activation is hypothesized to contribute to the vulnerability of specific brain regions in the depression-related neural circuits to inflammation-mediated brain injury. MRI studies are increasingly investigating how the blood levels of inflammatory markers such as C-reactive protein, interleukin (IL)-1β, IL-6, and tumor necrosis factor-α are associated with functional and structural neuroimaging markers in depression. Functional MRI studies have found that peripheral inflammatory markers are associated with aberrant activation patterns and altered functional connectivity in neural circuits involved in emotion regulation, reward processing, and cognitive control in depression. Structural MRI studies have suggested that peripheral inflammatory markers are related to reduced cortical gray matter and subcortical volumes, cortical thinning, and decreased integrity of white matter tracts within depression-related neural circuits. These neuroimaging findings may improve our understanding of the relationships between neuroinflammatory processes at the molecular level and macroscale in vivo neuralcircuit dysfunction in depression.
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Affiliation(s)
- Kyu Man Han
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea
| | - Byung Joo Ham
- Department of Psychiatry, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Korea.
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13
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Qin Y, Tong X, Li W, Zhang L, Zhang Y, Li X, Yang J, Qin K, Lei D, Gong Q, Zhou D, An D. Divergent Anatomical Correlates and Functional Network Connectivity Patterns in Temporal Lobe Epilepsy with and Without Depression. Brain Topogr 2021; 34:525-536. [PMID: 33973138 DOI: 10.1007/s10548-021-00848-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 05/05/2021] [Indexed: 02/05/2023]
Abstract
Epilepsy and depression were proposed to facilitate each other reciprocally through common neurobiological anomalies, especially the prefrontal-limbic-subcortical abnormalities. Yet neuroimaging patterns of higher-order cognitive networks and neuroanatomical correlates were rarely compared in temporal lobe epilepsy patients with (TLE-D) and without depression (TLE-N). We collected T1-weighted structural and resting-state functional MRI data from 20 TLE-D, 31 TLE-N and 20 healthy controls (HCs) and performed analyses including hippocampal volume (HCV), cortical thickness, gray matter volume (GMV) and whole-brain functional network connectivity (FNC) across three groups. Imaging differences were related to clinical and psychological measurements. TLE-D demonstrated disrupted functional role of subcortical (SUB) and higher-order cognitive networks compared to TLE-N and HCs. In TLE-D, GMV in the right supplementary motor area (SMA) and FNC between the dorsal attention (DAN) and SUB were attenuated compared to TLE-N and HCs, FNC between SUB and the visual network (VIS) decreased compared to HCs. GMV in the right SMA was negatively correlated with depression severity and some symptoms. Combined, explicit emotion regulation may be impaired in TLE-D. Meanwhile, compared to HCs, TLE-N showed smaller HCVs, TLE-D and TLE-N showed smaller GMV in the medial orbital frontal gyrus and right hippocampus and hippocampal gyrus, possibly implying predisposition of epileptic activities to co-morbid depression. Our findings suggest distinct anatomical and FNC patterns in TLE-D and TLE-N. More than prefrontal-limbic-subcortical anomalies, disrupted higher-order cognitive network may contribute to depression in TLE, providing new potential treatment targets for depression and calling attention to relation between cognitive dysfunction and co-morbid depression.
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Affiliation(s)
- Yingjie Qin
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xin Tong
- Department of Neurology, West China Second Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wei Li
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Le Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yingying Zhang
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xiuli Li
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jing Yang
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kun Qin
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Du Lei
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Dong Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Dongmei An
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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14
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Li L, Su YA, Wu YK, Castellanos FX, Li K, Li JT, Si TM, Yan CG. Eight-week antidepressant treatment reduces functional connectivity in first-episode drug-naïve patients with major depressive disorder. Hum Brain Mapp 2021; 42:2593-2605. [PMID: 33638263 PMCID: PMC8090770 DOI: 10.1002/hbm.25391] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 01/29/2021] [Accepted: 02/17/2021] [Indexed: 01/31/2023] Open
Abstract
Previous neuroimaging studies have revealed abnormal functional connectivity of brain networks in patients with major depressive disorder (MDD), but findings have been inconsistent. A recent big‐data study found abnormal intrinsic functional connectivity within the default mode network in patients with recurrent MDD but not in first‐episode drug‐naïve patients with MDD. This study also provided evidence for reduced default mode network functional connectivity in medicated MDD patients, raising the question of whether previously observed abnormalities may be attributable to antidepressant effects. The present study (ClinicalTrials.gov identifier: NCT03294525) aimed to disentangle the effects of antidepressant treatment from the pathophysiology of MDD and test the medication normalization hypothesis. Forty‐one first‐episode drug‐naïve MDD patients were administrated antidepressant medication (escitalopram or duloxetine) for 8 weeks, with resting‐state functional connectivity compared between posttreatment and baseline. To assess the replicability of the big‐data finding, we also conducted a cross‐sectional comparison of resting‐state functional connectivity between the MDD patients and 92 matched healthy controls. Both Network‐Based Statistic analyses and large‐scale network analyses revealed intrinsic functional connectivity decreases in extensive brain networks after treatment, indicating considerable antidepressant effects. Neither Network‐Based Statistic analyses nor large‐scale network analyses detected significant functional connectivity differences between treatment‐naïve patients and healthy controls. In short, antidepressant effects are widespread across most brain networks and need to be accounted for when considering functional connectivity abnormalities in MDD.
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Affiliation(s)
- Le Li
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Center for Cognitive Science of Language, Beijing Language and Culture University, Beijing, China
| | - Yun-Ai Su
- Peking University Institute of Mental Health, Peking University Sixth Hospital & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)/NHC Key Laboratory of Mental Health (Peking University), Beijing, China
| | - Yan-Kun Wu
- Peking University Institute of Mental Health, Peking University Sixth Hospital & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)/NHC Key Laboratory of Mental Health (Peking University), Beijing, China
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, New York, USA.,Nathan Kline Institute for Psychiatric Research, Orangeburg, New York, USA
| | - Ke Li
- Department of Radiology, 306 Hospital of People's Liberation Army, Beijing, China
| | - Ji-Tao Li
- Peking University Institute of Mental Health, Peking University Sixth Hospital & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)/NHC Key Laboratory of Mental Health (Peking University), Beijing, China
| | - Tian-Mei Si
- Peking University Institute of Mental Health, Peking University Sixth Hospital & National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)/NHC Key Laboratory of Mental Health (Peking University), Beijing, China
| | - Chao-Gan Yan
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, China.,Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,International Big-Data Center for Depression Research, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.,Department of Psychology, University of Chinese Academy of Sciences, Beijing, China
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15
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Ebneabbasi A, Mahdipour M, Nejati V, Li M, Liebe T, Colic L, Leutritz AL, Vogel M, Zarei M, Walter M, Tahmasian M. Emotion processing and regulation in major depressive disorder: A 7T resting-state fMRI study. Hum Brain Mapp 2021; 42:797-810. [PMID: 33151031 PMCID: PMC7814754 DOI: 10.1002/hbm.25263] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Revised: 09/18/2020] [Accepted: 10/14/2020] [Indexed: 12/23/2022] Open
Abstract
Dysfunctions in bottom-up emotion processing (EP), as well as top-down emotion regulation (ER) are prominent features in pathophysiology of major depressive disorder (MDD). Nonetheless, it is not clear whether EP- and ER-related areas are regionally and/or connectively disturbed in MDD. In addition, it is yet to be known how EP- and ER-related areas are interactively linked to regulatory behavior, and whether this interaction is disrupted in MDD. In our study, regional amplitude of low frequency fluctuations (ALFF) and whole-brain functional connectivity (FC) of meta-analytic-driven EP- and ER-related areas were compared between 32 healthy controls (HC) and 20 MDD patients. Then, we aimed to investigate whether the EP-related areas can predict the ER-related areas and regulatory behavior in both groups. Finally, the brain-behavior correlations between the EP- and ER-related areas and depression severity were assessed. We found that: (a) affective areas are regionally and/or connectively disturbed in MDD; (b) EP-ER interaction seems to be disrupted in MDD; overburden of emotional reactivity in amygdala may inversely affect cognitive control processes in prefrontal cortices, which leads to diminished regulatory actions. (c) Depression severity is correlated with FC of affective areas. Our findings shed new lights on the neural underpinning of affective dysfunctions in depression.
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Affiliation(s)
- Amir Ebneabbasi
- Institute of Medical Science and TechnologyShahid Beheshti UniversityTehranIran
- Department of Psychology, Faculty of Psychology and Educational SciencesShahid Beheshti UniversityTehranIran
| | - Mostafa Mahdipour
- Institute of Medical Science and TechnologyShahid Beheshti UniversityTehranIran
| | - Vahid Nejati
- Department of Psychology, Faculty of Psychology and Educational SciencesShahid Beheshti UniversityTehranIran
| | - Meng Li
- Clinical Affective Neuroimaging LaboratoryOtto von Guericke UniversityMagdeburgGermany
- Department of Psychiatry and PsychotherapyJena University HospitalJenaGermany
| | - Thomas Liebe
- Clinical Affective Neuroimaging LaboratoryOtto von Guericke UniversityMagdeburgGermany
| | - Lejla Colic
- Clinical Affective Neuroimaging LaboratoryOtto von Guericke UniversityMagdeburgGermany
| | - Anna Linda Leutritz
- Clinical Affective Neuroimaging LaboratoryOtto von Guericke UniversityMagdeburgGermany
- Department of Psychiatry, Psychosomatic Medicine and PsychotherapyUniversity Hospital, University of WürzburgWürzburgGermany
| | - Matthias Vogel
- Clinical Affective Neuroimaging LaboratoryOtto von Guericke UniversityMagdeburgGermany
- University Clinic for Psychosomatic Medicine and PsychotherapyMagdeburgGermany
| | - Mojtaba Zarei
- Institute of Medical Science and TechnologyShahid Beheshti UniversityTehranIran
| | - Martin Walter
- Clinical Affective Neuroimaging LaboratoryOtto von Guericke UniversityMagdeburgGermany
- Department of Psychiatry and PsychotherapyJena University HospitalJenaGermany
- Leibniz Institute for NeurobiologyMagdeburgGermany
| | - Masoud Tahmasian
- Institute of Medical Science and TechnologyShahid Beheshti UniversityTehranIran
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16
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Translational application of neuroimaging in major depressive disorder: a review of psychoradiological studies. Front Med 2021; 15:528-540. [PMID: 33511554 DOI: 10.1007/s11684-020-0798-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 04/25/2020] [Indexed: 02/05/2023]
Abstract
Major depressive disorder (MDD) causes great decrements in health and quality of life with increments in healthcare costs, but the causes and pathogenesis of depression remain largely unknown, which greatly prevent its early detection and effective treatment. With the advancement of neuroimaging approaches, numerous functional and structural alterations in the brain have been detected in MDD and more recently attempts have been made to apply these findings to clinical practice. In this review, we provide an updated summary of the progress in translational application of psychoradiological findings in MDD with a specified focus on potential clinical usage. The foreseeable clinical applications for different MRI modalities were introduced according to their role in disorder classification, subtyping, and prediction. While evidence of cerebral structural and functional changes associated with MDD classification and subtyping was heterogeneous and/or sparse, the ACC and hippocampus have been consistently suggested to be important biomarkers in predicting treatment selection and treatment response. These findings underlined the potential utility of brain biomarkers for clinical practice.
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17
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Na KS, Kim YK. The Application of a Machine Learning-Based Brain Magnetic Resonance Imaging Approach in Major Depression. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1305:57-69. [PMID: 33834394 DOI: 10.1007/978-981-33-6044-0_4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Major depressive disorder (MDD) shows a high prevalence and is associated with increased disability. While traditional studies aimed to investigate global characteristic neurobiological substrates of MDD, machine learning-based approaches focus on individual people rather than a group. Therefore, machine learning has been increasingly conducted and applied to clinical practice. Several previous neuroimaging studies used machine learning for stratifying MDD patients from healthy controls as well as in differentially diagnosing MDD apart from other psychiatric disorders. Also, machine learning has been used to predict treatment response using magnetic resonance imaging (MRI) results. Despite the recent accomplishments of machine learning-based MRI studies, small sample sizes and the heterogeneity of the depression group limit the generalizability of a machine learning-based predictive model. Future neuroimaging studies should integrate various materials such as genetic, peripheral, and clinical phenotypes for more accurate predictability of diagnosis and treatment response.
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Affiliation(s)
- Kyoung-Sae Na
- Department of Psychiatry, Gachon University College of Medicine, Gil Medical Center, Incheon, Republic of Korea
| | - Yong-Ku Kim
- Department of Psychiatry, Korea University Ansan Hospital, College of Medicine, Ansan, Republic of Korea.
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Boyraz RK, Kirpinar I, Yilmaz O, Özyurt O, Kiliçarslan T, Aralasmak A. A Treatment-Response Comparison Study of Resting-State Functional Magnetic Resonance Imaging Between Standard Treatment of SSRI and Standard Treatment of SSRI Plus Non-dominant Hand-Writing Task in Patients With Major Depressive Disorder. Front Psychiatry 2021; 12:698954. [PMID: 34539460 PMCID: PMC8446543 DOI: 10.3389/fpsyt.2021.698954] [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: 04/22/2021] [Accepted: 06/28/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Researches have recently shifted from functional/structural imaging studies to functional connectivity (FC) studies in major depressive disorder (MDD). We aimed to compare treatment response of two treatment groups before and after treatment, in terms of both with psychiatric evaluation scales and resting-state functional connectivity (RSFC) changes in order to objectively demonstrate the possible contribution of the non-dominant hand-writing exercise (NHE) effect on depression treatment. Methods: A total of 26 patients who were right-handed women with similar sociodemographic characteristics were enrolled. Their pre-treatment resting-state functional magnetic resonance imaging (rs-fMRI) and neuropsychiatric tests were recorded, and then, patients were divided into two groups randomly. A standard treatment (ST) (fix sertraline 50 mg/day) was given to both groups. One randomly selected group was given the NHE in addition to the ST. After 8 weeks of treatment, all patients were reevaluated with rs-fMRI and neuropsychiatric tests. Pre- and post-treatment FC changes within the groups and post-treatment connectivity changes between groups were evaluated. Results: Post-treatment neuropsychiatric tests were significantly different in both groups. Post-treatment, two brain regions' connectivity changed in the ST group, whereas 10 brain regions' connectivity changed significantly in the ST + NHE group. When treatment groups were compared with each other after the treatment, the FC of 13 regions changed in the ST + NHE group compared to the ST group (p-unc/p-PFD <0.05). The density of connectivity changes in the frontal and limbic regions, especially connectivities shown to change in depression treatment, in the ST + NHE group indicates a positive contribution to depression treatment, which is also supported by neuropsychiatric scale changes. Conclusion: NHE, which we developed with inspiration from the Eye Movement Desensitization and Reprocessing (EMDR) method, showed significantly more connecitivity changes related with MDD treatment. Beyond offering a new additional treatment method, our study will also contribute to the current literature with our efforts to evaluate all brain regions and networks that may be related to MDD and its treatment together, without being limited to a few regions. Trial Registration: The rs-fMRI and treatment registers were recorded in the BizMed system, which is the patient registration system of Bezmialem Vakif University Medicine Faculty, under the BAP support project approval code and the registration number 3.2018/8.
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Affiliation(s)
- Rabia Kevser Boyraz
- Bezmialem VAKIF University, Department of Psychiatry, School of Medicine, Istanbul, Turkey
| | - Ismet Kirpinar
- Bezmialem VAKIF University, Department of Psychiatry, School of Medicine, Istanbul, Turkey
| | - Onur Yilmaz
- Bezmialem VAKIF University, Department of Psychiatry, School of Medicine, Istanbul, Turkey
| | - Onur Özyurt
- Bogaziçi University, Bogaziçi Engineering Institute, Istanbul, Turkey
| | - Tezer Kiliçarslan
- Bezmialem VAKIF University, Department of Psychiatry, School of Medicine, Istanbul, Turkey
| | - Ayse Aralasmak
- Bezmialem Vakıf University, Department of Radiology, School of Medicine, Istanbul, Turkey
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Bifrontal electroconvulsive therapy changed regional homogeneity and functional connectivity of left angular gyrus in major depressive disorder. Psychiatry Res 2020; 294:113461. [PMID: 33038791 DOI: 10.1016/j.psychres.2020.113461] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Accepted: 09/15/2020] [Indexed: 12/11/2022]
Abstract
Electroconvulsive therapy (ECT) is a rapid and effective treatment for MDD. However, the mechanism of ECT for MDD has not been clarified. In this study, we used resting-state functional magnetic resonance imaging (rs-fMRI) to explore the mechanism of ECT. Two groups of subjects were recruited: healthy controls (HCs) and MDD patients who received bifrontal ECT. MDD patients and HCs underwent rs-fMRI scans and clinical assessments (Hamilton Depression Rating Scale, Rey-Auditory Verbal Learning Test (RAVLT), and the verbal fluency test). Regional homogeneity (ReHo) and functional connectivity were evaluated for the analysis of rs-fMRI data. The results showed that ReHo values in the left angular gyrus (LAG) significantly increased in MDD patients after ECT, and the functional connectivity of the LAG with bilateral inferior temporal gyrus, bilateral middle frontal gyrus, left superior frontal gyrus, left middle temporal gyrus, left precuneus, left posterior cingulate gyrus, and right angular gyrus was found to be strengthened after ECT. The scores of delayed recall trial in the RAVLT of MDD patients were related to the functional connectivity of the LAG with the left inferior temporal gyrus and the left posterior cingulate gyrus. It indicated LAG palyed an important role in the mechanism of ECT in MDD.
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20
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Wang M, Ju Y, Lu X, Sun J, Dong Q, Liu J, Zhang L, Zhang Y, Zhang S, Wang Z, Liu B, Li L. Longitudinal changes of amplitude of low-frequency fluctuations in MDD patients: A 6-month follow-up resting-state functional magnetic resonance imaging study. J Affect Disord 2020; 276:411-417. [PMID: 32871671 DOI: 10.1016/j.jad.2020.07.067] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 05/19/2020] [Accepted: 07/05/2020] [Indexed: 11/16/2022]
Abstract
OBJECTIVE The aim of this study includes: (1) using resting-state functional magnetic resonance imaging (rsfMRI) to explore the aberrant brain regional spontaneous brain activities in acute major depressive disorder (MDD) patients; (2) to determine whether the abnormalities could be restored after 6 months of antidepressant treatment; (3) to investigate whether the differences in regional spontaneous brain activities are associated with clinical variables in MDD. METHOD RsfMRI scanning was performed in 149 MDD patients and 122 healthy control (HC) subjects at baseline. After 6 months of antidepressant treatment, rsfMRI scanning was reperformed in remitted MDD patients (MDD-R) (n=63). The characteristics of the amplitude of low-frequency fluctuations (ALFF), and the relationship between the fMRI representatives and clinical variables in the MDD group were analyzed. RESULTS (1) Compared to healthy controls, significantly decreased ALFF in the right precuneus/posterior cingulate cortex (PCUN/PCC) was detected in MDD. (2) The ALFF value of precuneus in MDD-R group did not change significantly after a 6-month antidepressant treatment and was still lower than the HC group when remission was achieved (P = 0.002). (3) No correlations were found between ALFF in the right PCUN/PCC and Hamilton Depression Rating Scale(HAMD) total score, illness duration, age of onset, and the number of episodes in the baseline MDD group. The ALFF change was not correlated with depressive symptom improvement in MDD-R group. CONCLUSIONS The reduction of ALFF in the precuneus persisted in MDD who achieved clinical remission, suggesting that the decreased ALFF in PCUN/PCC may be a trait marker of MDD.
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Affiliation(s)
- Mi Wang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Yumeng Ju
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Xiaowen Lu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Jinrong Sun
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Qiangli Dong
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Jin Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Liang Zhang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Yan Zhang
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China
| | - Shuai Zhang
- Zhumadian Psychiatric Hospital, Zhumaidan, Henan 463000, China
| | - Zengguang Wang
- Zhumadian Psychiatric Hospital, Zhumaidan, Henan 463000, China
| | - Bangshan Liu
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China.
| | - Lingjiang Li
- Department of Psychiatry, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China; Mental Health Institute of Central South University, China National Clinical Research Center on Mental Disorders (Xiangya), China National Technology Institute on Mental Disorders, Hunan Technology Institute of Psychiatry, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, Hunan 410011, China.
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21
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Sun HH, Hu JB, Chen J, Wang XY, Wang XL, Pan PL, Liu CF. Abnormal Spontaneous Neural Activity in Parkinson's Disease With "pure" Apathy. Front Neurosci 2020; 14:830. [PMID: 32848582 PMCID: PMC7417661 DOI: 10.3389/fnins.2020.00830] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2020] [Accepted: 07/16/2020] [Indexed: 12/13/2022] Open
Abstract
Background Apathy is one of the most common non-motor symptoms of Parkinson’s disease (PD). However, its pathophysiology remains unclear. Methods We analyzed resting-state functional magnetic resonance imaging (MRI) data acquired at a 3.0T MRI scanner using the amplitude of low-frequency fluctuation (ALFF) metric in 20 de novo, drug-naïve, non-demented PD patients with apathy (PD-A), 26 PD patients without apathy (PD-NA) without comorbidity of depressive or anxious symptoms, and 23 matched healthy control (HC) subjects. Results We found that the ALFF decreased significantly in the bilateral nucleus accumbens, dorsal anterior cingulate cortex (ACC), and left dorsolateral prefrontal cortex in patients with PD-A compared to patients with PD-NA and HC subjects. Furthermore, apathy severity was negatively correlated with the ALFF in the bilateral nucleus accumbens and dorsal ACC in the pooled patients with PD. Conclusion The present study characterized the functional pattern of changes in spontaneous neural activity in patients with PD-A. With the aim to better elucidate the pathophysiological mechanisms responsible for these changes, this study controlled for the potentially confounding effects of dopaminergic medication, depression, anxiety, and global cognitive impairment. The findings of the current study add to the literature by highlighting potential abnormalities in mesocorticolimbic pathways involved in the development of apathy in PD.
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Affiliation(s)
- Hai-Hua Sun
- Department of Neurology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - Jian-Bin Hu
- Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - Jing Chen
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Xue-Yang Wang
- Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - Xiao-Li Wang
- Department of Emergency, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - Ping-Lei Pan
- Department of Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng, China
| | - Chun-Feng Liu
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Neuroscience, Soochow University, Suzhou, China
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22
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Gray JP, Müller VI, Eickhoff SB, Fox PT. Multimodal Abnormalities of Brain Structure and Function in Major Depressive Disorder: A Meta-Analysis of Neuroimaging Studies. Am J Psychiatry 2020; 177:422-434. [PMID: 32098488 PMCID: PMC7294300 DOI: 10.1176/appi.ajp.2019.19050560] [Citation(s) in RCA: 175] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Imaging studies of major depressive disorder have reported structural and functional abnormalities in a variety of spatially diverse brain regions. Quantitative meta-analyses of this literature, however, have failed to find statistically significant between-study spatial convergence, other than transdiagnostic-only effects. In the present study, the authors applied a novel multimodal meta-analytic approach to test the hypothesis that major depression exhibits spatially convergent structural and functional brain abnormalities. METHODS This coordinate-based meta-analysis included voxel-based morphometry (VBM) studies and resting-state voxel-based pathophysiology (VBP) studies of blood flow, glucose metabolism, regional homogeneity, and amplitude of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF). Input data were grouped into three primary meta-analytic classes: gray matter atrophy, increased function, and decreased function in patients with major depression relative to healthy control subjects. In secondary meta-analyses, the data were grouped across primary categories, and in tertiary analyses, by medication status and absence of psychiatric comorbidity. Activation likelihood estimation was used for all analyses. RESULTS A total of 92 publications reporting 152 experiments were identified, collectively representing 2,928 patients with major depressive disorder. The primary analyses detected no convergence across studies. The secondary analyses identified portions of the subgenual cingulate cortex, hippocampus, amygdala, and putamen as demonstrating convergent abnormalities. The tertiary analyses (clinical subtypes) showed improved convergence relative to the secondary analyses. CONCLUSIONS Coordinate-based meta-analysis identified spatially convergent structural (VBM) and functional (VBP) abnormalities in major depression. The findings suggest replicable neuroimaging features associated with major depression, beyond the transdiagnostic effects reported in previous meta-analyses, and support a continued research focus on the subgenual cingulate and other selected regions' role in depression.
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Affiliation(s)
- Jodie P Gray
- Research Imaging Institute, University of Texas Health Science Center at San Antonio (Gray, Fox); Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Center Jüelich, Germany (Müller, Eickhoff); Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Germany (Müller, Eickhoff); and South Texas Veterans Health Care System, San Antonio (Fox)
| | - Veronika I Müller
- Research Imaging Institute, University of Texas Health Science Center at San Antonio (Gray, Fox); Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Center Jüelich, Germany (Müller, Eickhoff); Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Germany (Müller, Eickhoff); and South Texas Veterans Health Care System, San Antonio (Fox)
| | - Simon B Eickhoff
- Research Imaging Institute, University of Texas Health Science Center at San Antonio (Gray, Fox); Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Center Jüelich, Germany (Müller, Eickhoff); Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Germany (Müller, Eickhoff); and South Texas Veterans Health Care System, San Antonio (Fox)
| | - Peter T Fox
- Research Imaging Institute, University of Texas Health Science Center at San Antonio (Gray, Fox); Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Center Jüelich, Germany (Müller, Eickhoff); Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Germany (Müller, Eickhoff); and South Texas Veterans Health Care System, San Antonio (Fox)
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23
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Fu CHY, Fan Y, Davatzikos C. Widespread Morphometric Abnormalities in Major Depression: Neuroplasticity and Potential for Biomarker Development. Neuroimaging Clin N Am 2020; 30:85-95. [PMID: 31759575 PMCID: PMC7106506 DOI: 10.1016/j.nic.2019.09.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Major depression is common and debilitating. Identifying neurobiological subtypes that comprise the disorder and predict clinical outcome are key challenges. Genetic and environmental factors leading to major depression are expressed in neural structure and function. Volumetric decreases in gray matter have been demonstrated in corticolimbic circuits involved in emotion regulation. MR imaging observable abnormalities reflect cytoarchitectonic alterations within a local neuroendocrine milieu with systemic effects. Multivariate pattern analysis offers the potential to identify the neurobiological subtypes and predictors of clinical outcome. It is essential to characterize disease heterogeneity by incorporating data-driven inductive and symptom-based deductive approaches in an iterative process.
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Affiliation(s)
- Cynthia H Y Fu
- School of Psychology, University of East London, Arthur Edwards Building, Water Lane, London E15 4LZ, UK; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Yong Fan
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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24
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Jenkins LM, Chiang JJ, Vause K, Hoffer L, Alpert K, Parrish TB, Miller GE, Wang L. Outward subcortical curvature associated with sub-clinical depression symptoms in adolescents. NEUROIMAGE-CLINICAL 2020; 25:102187. [PMID: 31982681 PMCID: PMC6994704 DOI: 10.1016/j.nicl.2020.102187] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2019] [Revised: 12/27/2019] [Accepted: 01/16/2020] [Indexed: 01/10/2023]
Abstract
We related subcortical morphology to subthreshold depression (StD) in adolescents. StD had mostly positively associations (outward shape associated with higher StD). StD associated with outward hippocampal and amygdala morphology in females (N = 160). And outward hippocampal, thalamic, and basal ganglia morphology in males (N = 96). Pro-inflammatory cytokines did not mediate these relationships.
Objective Subclinical or subthreshold depressive symptoms (StD) are frequent in adolescence and are related to suicidality and onset of depression in adulthood, however, their neurobiology is poorly understood. We examined the relationship between StD and subcortical grey matter structures in unmedicated adolescents with no history of axis I diagnosis. Methods 277 youths from Chicago aged 14 years participated, undergoing a structural MRI scan and completing the Revised Children's Anxiety and Depression Scale (RCADS). Blood samples provided a composite of five pro-inflammatory cytokines. Regions of interest (ROI) for vertex-based surface analysis were the left and right amygdala, hippocampus, thalamus, caudate, nucleus accumbens, pallidum and putamen. Covariates were age, pubertal status, socioeconomic disadvantage and intracranial volume. Males and females were analysed separately. Results StD had positive associations (outward shape) with subcortical morphology in the right amygdala and left hippocampus in females, and the bilateral putamen and the left caudate, hippocampus and thalamus in males. However, we also found negative associations with StD (inward contractions) in the hippocampus in females and the caudate in males. Pro-inflammatory cytokines did not mediate the relationship between StD and outward morphology or volume. Conclusion This is one of the first studies to examine subcortical morphology of basal ganglia and thalamic regions related to StD in adolescents, and the first study to report mostly positive associations between StD, volume and outward morphology in youths. These findings could reflect intact neurogenesis or resilience to depression, however longitudinal research is needed to further understand the neurobiology of StD in adolescents.
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Affiliation(s)
- Lisanne M Jenkins
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States.
| | - Jessica J Chiang
- Institute for Policy Research and Department of Psychology, Northwestern University, Chicago, IL, United States
| | - Katherine Vause
- Institute for Policy Research and Department of Psychology, Northwestern University, Chicago, IL, United States
| | - Lauren Hoffer
- Institute for Policy Research and Department of Psychology, Northwestern University, Chicago, IL, United States
| | - Kathryn Alpert
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States
| | - Todd B Parrish
- Department of Radiology, Northwestern University, Chicago, IL, United States; Department of Biomedical Engineering, Northwestern University, Chicago, IL, United States
| | - Gregory E Miller
- Institute for Policy Research and Department of Psychology, Northwestern University, Chicago, IL, United States
| | - Lei Wang
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, United States; Department of Radiology, Northwestern University, Chicago, IL, United States
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25
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Zhang Y, Yang Y, Zhu L, Zhu Q, Jia Y, Zhang L, Peng Q, Wang J, Liu J, Fan W, Wang J. Volumetric Deficit Within the Fronto-Limbic-Striatal Circuit in First-Episode Drug Naïve Patients With Major Depression Disorder. Front Psychiatry 2020; 11:600583. [PMID: 33551870 PMCID: PMC7854541 DOI: 10.3389/fpsyt.2020.600583] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2020] [Accepted: 12/21/2020] [Indexed: 12/21/2022] Open
Abstract
Background: Depression is a major psychiatric disorder and the leading cause of disability worldwide. Previous evidence suggested certain pattern of structural alterations were induced by major depression disorder (MDD) with heterogeneity due to patients' clinical characteristics and proposed that early impairment of fronto-limbic-striatal circuit was involved. Yet the hypothesis couldn't be replicated fully. Accordingly, this study aimed to validate this hypothesis in a new set of first-episode, drug naïve MDD patients and further explore the neuroimaging biomarker of illness severity using whole-brain voxel-based morphometry (VBM). Materials and Methods: A total of 93 participants, 30 patients with first-episode medication-naïve MDD, and 63 healthy controls were enrolled in the study. VBM was applied to analyze differences in the gray matter volume (GMV) between these two groups. The correlation between the GMV of the identified brain regions and the severity of clinical symptoms quantified by the Hamilton Depression Scale (HAMD) was further conducted in the post-hoc analysis to confirm the role of GMV structural alteration in clinical symptoms. Results: Our results revealed that the brain gray matter volume of the prefrontal lobe, limbic system, striatum, cerebellum, temporal lobe, and bilateral lingual gyri were significantly decreased in MDD patients compared with healthy controls. Besides, the HAMD scores were negatively correlated with GMV of the right insula and positively correlated with that of the right lingual gyrus. Conclusions: Our findings provide robust evidence that gray matter structural abnormalities within the prefronto-limbic-striatal circuit are implicated in the pathophysiology of MDD at an early stage without confounding influence of medication status. Besides, our data suggest that the cerebellum, lingual gyrus, and fusiform gyrus should also be integrated into the brain alterations in MDD. Future synthesis of individual neuroimaging studies and more advanced statistical analysis comparing subfields of the aforementioned regions are warranted to further shed light on the neurobiology of the disease and assist in the diagnosis of this burdensome disorder.
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Affiliation(s)
- Yiran Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Yun Yang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Licheng Zhu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Qing Zhu
- Department of Neurology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuxi Jia
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Lan Zhang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Qinmu Peng
- School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China
| | - Jiazheng Wang
- Clinical and Technical Solutions, Philips Healthcare, Beijing, China
| | - Jia Liu
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Wenliang Fan
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
| | - Jing Wang
- Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Hubei Province Key Laboratory of Molecular Imaging, Wuhan, China
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Toenders YJ, van Velzen LS, Heideman IZ, Harrison BJ, Davey CG, Schmaal L. Neuroimaging predictors of onset and course of depression in childhood and adolescence: A systematic review of longitudinal studies. Dev Cogn Neurosci 2019; 39:100700. [PMID: 31426010 PMCID: PMC6969367 DOI: 10.1016/j.dcn.2019.100700] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 08/05/2019] [Accepted: 08/05/2019] [Indexed: 11/24/2022] Open
Abstract
Major depressive disorder (MDD) often emerges during adolescence with detrimental effects on development as well as lifetime consequences. Identifying neurobiological markers that are associated with the onset or course of this disorder in childhood and adolescence is important for early recognition and intervention and, potentially, for the prevention of illness onset. In this systematic review, 68 longitudinal neuroimaging studies, from 34 unique samples, that examined the association of neuroimaging markers with onset or changes in paediatric depression published up to 1 February 2019 were examined. These studies employed different imaging modalities at baseline; structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), functional MRI (fMRI) or electroencephalography (EEG). Most consistent evidence across studies was found for blunted reward-related (striatal) activity (fMRI and EEG) as a potential biological marker for both MDD onset and course. With regard to structural brain measures, the results were highly inconsistent, likely caused by insufficient power to detect complex mediating effects of genetic and environmental factors in small sample sizes. Overall, there were a limited number of samples, and confounding factors such as sex and pubertal development were often not considered, whereas these factors are likely to be relevant especially in this age range.
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Affiliation(s)
- Yara J Toenders
- Orygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, Parkville, Victoria 3052, Australia; Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, Victoria 3052, Australia
| | - Laura S van Velzen
- Orygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, Parkville, Victoria 3052, Australia; Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, Victoria 3052, Australia
| | - Ivonne Z Heideman
- Orygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, Parkville, Victoria 3052, Australia
| | - Ben J Harrison
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, The University of Melbourne & Melbourne Health, Level 3, Alan Gilbert Building, 161 Barry St, Carlton, Victoria 3053, Australia
| | - Christopher G Davey
- Orygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, Parkville, Victoria 3052, Australia; Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, Victoria 3052, Australia
| | - Lianne Schmaal
- Orygen, The National Centre of Excellence in Youth Mental Health, 35 Poplar Road, Parkville, Victoria 3052, Australia; Centre for Youth Mental Health, The University of Melbourne, 35 Poplar Road, Parkville, Victoria 3052, Australia.
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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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Fu CHY, Fan Y, Davatzikos C. Addressing heterogeneity (and homogeneity) in treatment mechanisms in depression and the potential to develop diagnostic and predictive biomarkers. Neuroimage Clin 2019; 24:101997. [PMID: 31525565 PMCID: PMC6807387 DOI: 10.1016/j.nicl.2019.101997] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2019] [Revised: 08/09/2019] [Accepted: 08/27/2019] [Indexed: 01/26/2023]
Abstract
It has been 10 years since machine learning was first applied to neuroimaging data in psychiatric disorders to identify diagnostic and prognostic markers at the level of the individual. Proof of concept findings in major depression have since been extended in international samples and are beginning to include hundreds of samples from multisite data. Neuroimaging provides the unique capability to detect an acute depressive state in major depression, while we would not expect perfect classification with current diagnostic criteria which are based solely on clinical features. We review developments and the potential impact of heterogeneity, as well as homogeneity, on classification for diagnosis and prediction of clinical outcome. It is likely that there are distinct biotypes which comprise the disorder and which predict clinical outcome. Neuroimaging-based biotypes could aid in identifying the illness in individuals who are unable to recognise their illness and perhaps to identify the treatment resistant form early in the course of the illness. We propose that heterogeneous symptom profiles can arise from a limited number of neural biotypes and that apparently heterogeneous clinical outcomes include a common baseline predictor and common mechanism of treatment. Baseline predictors of clinical outcome reflect factors which indicate the general likelihood of response as well as those which are selective for a particular form of treatment. Irrespective of the mechanism, the capacity for response will moderate the outcome, which includes inherent models of interpersonal relationships that could be associated with genetic risk load and represented by patterns of functional and structural neural correlates as a predictive biomarker. We propose that methods which directly address heterogeneity are essential and that a synergistic combination could bring together data-driven inductive and symptom-based deductive approaches. Through this iterative process, major depression can develop from being syndrome characterized by a collection of symptoms to a disease with an identifiable pathophysiology.
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Affiliation(s)
- Cynthia H Y Fu
- School of Psychology, University of East London, London, UK; Centre for Affective Disorders, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
| | - Yong Fan
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
| | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA
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Ding Y, Ou Y, Pan P, Shan X, Chen J, Liu F, Zhao J, Guo W. Brain structural abnormalities as potential markers for detecting individuals with ultra-high risk for psychosis: A systematic review and meta-analysis. Schizophr Res 2019; 209:22-31. [PMID: 31104914 DOI: 10.1016/j.schres.2019.05.015] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2018] [Revised: 02/28/2019] [Accepted: 05/06/2019] [Indexed: 02/01/2023]
Abstract
OBJECTIVE This study aims to determine whether structural alterations can be used as neuroimaging markers to detect individuals with ultra-high risk (UHR) for psychosis for the diagnosis of schizophrenia and improvement of treatment outcomes. METHODS Embase and Pubmed databases were searched for related studies in July 2018. The search was performed without restriction on time and regions or languages. A total of 188 articles on voxel-based morphometry (VBM) and 96 articles on cortical thickness were obtained, and another 6 articles were included after the reference lists were checked. Our researchers assessed and extracted the data in accordance with the PRISMA guideline. The data were processed with a seed-based mapping method. RESULTS Fourteen VBM and nine cortical thickness studies were finally included in our study. In individuals with UHR, the gray matter volumes in the bilateral median cingulate (Z = 1.034), the right fusiform gyrus (Z = 1.051), the left superior temporal gyrus (Z = 1.048), and the right thalamus (Z = 1.039) increased relative to those of healthy controls. By contrast, the gray matter volumes in the right gyrus rectus (Z = -2.109), the right superior frontal gyrus (Z = -2.321), and the left superior frontal gyrus (Z = -2.228) decreased. The robustness of these findings was verified through Jackknife sensitivity analysis, and heterogeneity across studies was low. Typically, cortical thickness alterations were not detected in individuals with UHR. CONCLUSIONS Structural abnormalities of the thalamocortical circuit may underpin the neurophysiology of psychosis and mark the vulnerability of transition to psychosis in UHR subjects.
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Affiliation(s)
- Yudan Ding
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; National Clinical Research Center on Mental Disorders, Changsha, Hunan 410011, China
| | - Yangpan Ou
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; National Clinical Research Center on Mental Disorders, Changsha, Hunan 410011, China
| | - Pan Pan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; National Clinical Research Center on Mental Disorders, Changsha, Hunan 410011, China
| | - Xiaoxiao Shan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; National Clinical Research Center on Mental Disorders, Changsha, Hunan 410011, China
| | - Jindong Chen
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; National Clinical Research Center on Mental Disorders, Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital, Tianjin 300000, China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; National Clinical Research Center on Mental Disorders, Changsha, Hunan 410011, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University, Changsha, Hunan 410011, China; National Clinical Research Center on Mental Disorders, Changsha, Hunan 410011, China.
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Gao X, Xiao Y, Lv P, Zhang W, Gong Y, Wang T, Gong Q, Ji Y, Lui S. Altered brain network integrity in patients with asthma: A structural connectomic diffusion tensor imaging study. Respir Physiol Neurobiol 2019; 266:89-94. [PMID: 31085322 DOI: 10.1016/j.resp.2019.05.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 05/05/2019] [Accepted: 05/06/2019] [Indexed: 02/05/2023]
Abstract
Brain functional deficits had been reported in asthma patients. These deficits may be related to treatment resistance, inaccurate self-assessment and poor self-management. However, changes of the structural brain network in asthma patients remain largely unclear. Diffusion tensor imaging were acquired from 54 asthmatic patients and 44 controls. Then we calculated all the participants' structural network metrics. All the participants underwent the test of Hamilton Rating Scale for Depression and Anxiety as well as a lung function. Multiple linear correlation analyses were conducted. At the global level, asthma patients had a higher path length and lower global efficiency than controls, implying a shift toward regular networks. At the local level, asthma patients exhibited abnormal nodal connectivity with other nodes involved the fronto-limbic regions. Our findings highlight more locally segregated but less efficiently integrated structural networks, particularly involving frontal-limbic networks, in asthmatic patients. These findings provide important evidence to support the role of brain networks in the pathophysiology of asthma.
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Affiliation(s)
- Xin Gao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China; Department of Radiology, People's Hospital of Deyang City, Deyang, China
| | - Yuan Xiao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Peilin Lv
- Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, China
| | - Wenjing Zhang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yao Gong
- The Fourth People's Hospital of Chengdu, Chengdu, China
| | - Ting Wang
- Department of Respiratory Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qiyong Gong
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yulin Ji
- Department of Respiratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
| | - Su Lui
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
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Identify abnormalities in resting-state brain function between first-episode, drug-naive major depressive disorder and remitted individuals: a 3-year retrospective study. Neuroreport 2019; 29:907-916. [PMID: 29912848 DOI: 10.1097/wnr.0000000000001054] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
This study aims to identify and characterize neurobiological markers for major depressive disorder (MDD) from resting-state brain functional MRI. We examined the abnormality in the regional homogeneity (ReHo) and amplitude of low-frequency fluctuation (ALFF) in first-episode, drug-naive major depressive disorder (fMDD), and remitted major depressive disorder (rMDD) and correlated these fluctuations with clinical markers of MDD. We conducted a retrospective study and reviewed the medical records of 43 patients with fMDD. Overall, 13 of the 43 patients who had at least 3 years of follow-up care and the 17-item Hamilton Depression rating scale less than 7 took no antidepressants for more than half a year at the end of the 3-year follow-up. We further chose a group of 14 healthy controls matched for age, sex and education level with patients with rMDD. Multiple comparison analysis was performed for ALFF and ReHo. The statistical significance level was set at P value of less than 0.05. We examined whether there were differences among the three groups in the whole-brain ALFF and ReHo during resting state. Compared with healthy controls, patients with fMDD showed significant decrease of ReHo in the right anterior lobe of cerebellum and significant increase of ReHo in the right inferior temporal gyrus, and significant decrease of ALFF in the left inferior parietal lobule and right caudate nucleus. Compared with patients with rMDD, those with fMDD showed significant increase of ReHo in the right fusiform gyrus and the left middle temporal gyrus, and significant increase of ALFF in the right superior temporal gyrus. Compared with healthy controls, patients with rMDD showed significant increase of ReHo in the right supramarginal and significant decrease of ReHo in the right precuneus, and significant decrease of ALFF in the right lingual gyrus and in the left superior frontal lobe. Only patients with fMDD showed the relatively robust increase in intrinsic activity of temporal gyrus. The temporal gyrus may play a critical role in depressive symptomatology. Abnormal right fusiform gyrus, left middle temporal gyrus, and right superior temporal gyrus alterations were present only in patients with rMDD but not in patients with fMDD, indicating that these alterations may be a therapeutic target for MDD. Abnormal right supramarginal, right precuneus, right lingual gyrus and left superior frontal lobe alterations were present only in patients with rMDD and not in healthy control, and thus may be used as a state marker of MDD.
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Qiu H, Li X, Luo Q, Li Y, Zhou X, Cao H, Zhong Y, Sun M. Alterations in patients with major depressive disorder before and after electroconvulsive therapy measured by fractional amplitude of low-frequency fluctuations (fALFF). J Affect Disord 2019; 244:92-99. [PMID: 30326347 PMCID: PMC6239214 DOI: 10.1016/j.jad.2018.10.099] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 09/08/2018] [Accepted: 10/08/2018] [Indexed: 01/22/2023]
Abstract
BACKGROUND Electroconvulsive therapy (ECT) is an important treatment option for patients with major depressive disorder (MDD). However, the mechanisms of ECT in MDD are still unclear. METHODS Twenty-four patients with severe MDD and 14 healthy controls were enrolled in this study. Eight ECT sessions were conducted for MDD patients using brief-pulse square-wave signal at bitemporal locations. To investigate the regional cerebral blood flow in MDD patients before and after ECT treatments by resting-state functional magnetic resonance imaging (rs-fMRI), the patients were scanned twice (before the first ECT and after the eighth ECT) for data acquisition. Afterward, we adopted fractional amplitude of low-frequency fluctuations (fALFF) to assess the alterations of regional brain activity. RESULTS Compared with healthy controls, the fALFF in the cerebellum lobe, parahippocampal gyrus, fusiform gyrus, anterior cingulate gyrus, and thalamus in MDD patients before ECT (pre-ECT) was significantly increased. In another comparison, the fALFF in the cerebellum anterior lobe, fusiform gyrus, insula, parahippocampal gyrus, middle frontal gyrus, and inferior frontal gyrus in pre-ECT patients was significantly greater than the post-ECT fALFF. LIMITATIONS Only two rs-fMRI scans were conducted at predefined times: before the first and after the eighth ECT treatment. More scans during the ECT sessions would yield more information. In addition, the sample size in this study was limited. The number of control subjects was relatively small. A larger number of subjects would produce more robust findings. CONCLUSIONS The fALFF of both healthy controls and post-ECT patients in cerebellum anterior lobe, fusiform gyrus, and parahippocampal gyrus is significantly lower than the fALFF of pre-ECT patients. This finding demonstrates that ECT treatment is effective on these brain areas in MDD patients.
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Affiliation(s)
- Haitang Qiu
- Mental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, PR China
| | - Xinke Li
- College of Communication Engineering, Chongqing University, Chongqing 400044, PR China; Collaborative innovation center for brain science, Chongqing University, Chongqing 400044, PR China; Department of Neurosurgery, University of Pittsburgh, Pittsburgh 15213, PA, USA.
| | - Qinghua Luo
- Mental Health Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, PR China
| | - Yongming Li
- College of Communication Engineering, Chongqing University, Chongqing 400044, PR China; Collaborative innovation center for brain science, Chongqing University, Chongqing 400044, PR China
| | - Xichuan Zhou
- College of Communication Engineering, Chongqing University, Chongqing 400044, PR China
| | - Hailin Cao
- College of Communication Engineering, Chongqing University, Chongqing 400044, PR China
| | - Yuanhong Zhong
- College of Communication Engineering, Chongqing University, Chongqing 400044, PR China
| | - Mingui Sun
- Department of Neurosurgery, University of Pittsburgh, Pittsburgh 15213, PA, USA
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Ding Y, Ou Y, Pan P, Shan X, Chen J, Liu F, Zhao J, Guo W. Cerebellar structural and functional abnormalities in first-episode and drug-naive patients with schizophrenia: A meta-analysis. Psychiatry Res Neuroimaging 2019; 283:24-33. [PMID: 30500474 DOI: 10.1016/j.pscychresns.2018.11.009] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2018] [Revised: 10/21/2018] [Accepted: 11/21/2018] [Indexed: 01/25/2023]
Abstract
Schizophrenia (SZ) is a mental disorder that involves cerebral and cerebellar abnormalities. The cerebellum plays an indispensable role in the pathophysiology of SZ. However, individual studies pertaining to the structural and resting-state functional cerebellar abnormalities in patients with SZ have been inconsistent. To make a relatively robust conclusion with little interference, such as different disease episode times and antipsychotic treatment, we conducted this meta-analysis as a first attempt to comprehensively analyze and combine studies of voxel-based morphometry (VBM), amplitude of low-frequency fluctuation (ALFF), and functional connectivity strength (FCS) in first-episode and drug-naive SZ patients, employing the Seed-based d Mapping (SDM) method. Thirteen VBM studies, eight ALFF studies, and three FCS studies involving 783 patients and 704 matched healthy controls were included. Our results showed the presence of structural and functional abnormalities within the cerebellar regions, including most superior/anterior cerebellum (lobule III-V or VI) and posterior/inferior cerebellum (lobule VIII) related to motor function, and posterior cerebellum (lobule VIIa, Crus I, and II) associated with cognition and emotion, and such anomalies might be related to illness duration and clinical symptom severity.
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Affiliation(s)
- Yudan Ding
- Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Yangpan Ou
- Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Pan Pan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Xiaoxiao Shan
- Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Jindong Chen
- Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Feng Liu
- Department of Radiology, Tianjin Medical University General Hospital. Tianjin 300000, China
| | - Jingping Zhao
- Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China
| | - Wenbin Guo
- Department of Psychiatry, The Second Xiangya Hospital of Central South University. Changsha, Hunan 410011, China.
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Zhang S, Wang W, Su X, Kemp GJ, Yang X, Su J, Tan Q, Zhao Y, Sun H, Yue Q, Gong Q. Psychoradiological investigations of gray matter alterations in patients with anorexia nervosa. Transl Psychiatry 2018; 8:277. [PMID: 30546047 PMCID: PMC6293321 DOI: 10.1038/s41398-018-0323-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2018] [Revised: 10/23/2018] [Accepted: 11/13/2018] [Indexed: 02/05/2023] Open
Abstract
Anorexia nervosa (AN) is a severe psychiatric disorder with high mortality. The underlying neurobiological mechanisms are not well understood, and high-resolution structural magnetic resonance brain imaging studies have given inconsistent results. Here we aimed to psychoradiologically define the most prominent and replicable abnormalities of gray matter volume (GMV) in AN patients, and to examine their relationship to demographics and clinical characteristics, by means of a new coordinate-based meta-analytic technique called seed-based d mapping (SDM). In a pooled analysis of all AN patients we identified decreased GMV in the bilateral median cingulate cortices and posterior cingulate cortices extending to the bilateral precuneus, and the supplementary motor area. In subgroup analysis we found an additional decreased GMV in the right fusiform in adult AN, and a decreased GMV in the left amygdala and left anterior cingulate cortex in AN patients without comorbidity (pure AN). Thus, the most consistent GMV alterations in AN patients are in the default mode network and the sensorimotor network. These psychoradiological findings of the brain abnormalities might underpin the neuropathophysiology in AN.
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Affiliation(s)
- Simin Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Weina Wang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Xiaorui Su
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Graham J Kemp
- Liverpool Magnetic Resonance Imaging Centre (LiMRIC) and Institute of Ageing and Chronic Disease, University of Liverpool, Liverpool, UK
| | - Xibiao Yang
- Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, 610041, Chengdu, China
| | - Jingkai Su
- Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, 610041, Chengdu, China
| | - Qiaoyue Tan
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Youjin Zhao
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Huaiqiang Sun
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Qiang Yue
- Department of Radiology, West China Hospital of Sichuan University, No. 37 Guo Xue Xiang, 610041, Chengdu, China.
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, 610041, Chengdu, China.
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Koutsouleris N, Kambeitz-Ilankovic L, Ruhrmann S, Rosen M, Ruef A, Dwyer DB, Paolini M, Chisholm K, Kambeitz J, Haidl T, Schmidt A, Gillam J, Schultze-Lutter F, Falkai P, Reiser M, Riecher-Rössler A, Upthegrove R, Hietala J, Salokangas RKR, Pantelis C, Meisenzahl E, Wood SJ, Beque D, Brambilla P, Borgwardt S. Prediction Models of Functional Outcomes for Individuals in the Clinical High-Risk State for Psychosis or With Recent-Onset Depression: A Multimodal, Multisite Machine Learning Analysis. JAMA Psychiatry 2018; 75:1156-1172. [PMID: 30267047 PMCID: PMC6248111 DOI: 10.1001/jamapsychiatry.2018.2165] [Citation(s) in RCA: 210] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
IMPORTANCE Social and occupational impairments contribute to the burden of psychosis and depression. There is a need for risk stratification tools to inform personalized functional-disability preventive strategies for individuals in at-risk and early phases of these illnesses. OBJECTIVE To determine whether predictors associated with social and role functioning can be identified in patients in clinical high-risk (CHR) states for psychosis or with recent-onset depression (ROD) using clinical, imaging-based, and combined machine learning; assess the geographic, transdiagnostic, and prognostic generalizability of machine learning and compare it with human prognostication; and explore sequential prognosis encompassing clinical and combined machine learning. DESIGN, SETTING, AND PARTICIPANTS This multisite naturalistic study followed up patients in CHR states, with ROD, and with recent-onset psychosis, and healthy control participants for 18 months in 7 academic early-recognition services in 5 European countries. Participants were recruited between February 2014 and May 2016, and data were analyzed from April 2017 to January 2018. AIN OUTCOMES AND MEASURES Performance and generalizability of prognostic models. RESULTS A total of 116 individuals in CHR states (mean [SD] age, 24.0 [5.1] years; 58 [50.0%] female) and 120 patients with ROD (mean [SD] age, 26.1 [6.1] years; 65 [54.2%] female) were followed up for a mean (SD) of 329 (142) days. Machine learning predicted the 1-year social-functioning outcomes with a balanced accuracy of 76.9% of patients in CHR states and 66.2% of patients with ROD using clinical baseline data. Balanced accuracy in models using structural neuroimaging was 76.2% in patients in CHR states and 65.0% in patients with ROD, and in combined models, it was 82.7% for CHR states and 70.3% for ROD. Lower functioning before study entry was a transdiagnostic predictor. Medial prefrontal and temporo-parieto-occipital gray matter volume (GMV) reductions and cerebellar and dorsolateral prefrontal GMV increments had predictive value in the CHR group; reduced mediotemporal and increased prefrontal-perisylvian GMV had predictive value in patients with ROD. Poor prognoses were associated with increased risk of psychotic, depressive, and anxiety disorders at follow-up in patients in the CHR state but not ones with ROD. Machine learning outperformed expert prognostication. Adding neuroimaging machine learning to clinical machine learning provided a 1.9-fold increase of prognostic certainty in uncertain cases of patients in CHR states, and a 10.5-fold increase of prognostic certainty for patients with ROD. CONCLUSIONS AND RELEVANCE Precision medicine tools could augment effective therapeutic strategies aiming at the prevention of social functioning impairments in patients with CHR states or with ROD.
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Affiliation(s)
- Nikolaos Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | | | - Stephan Ruhrmann
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Marlene Rosen
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - Anne Ruef
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Dominic B. Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Marco Paolini
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | | | - Joseph Kambeitz
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Theresa Haidl
- Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany
| | - André Schmidt
- Department of Psychiatry, University Psychiatric Clinic, Psychiatric University Hospital, University of Basel, Basel, Switzerland
| | - John Gillam
- Orygen, the National Centre of Excellence for Youth Mental Health, Melbourne, Australia,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Frauke Schultze-Lutter
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Maximilian Reiser
- Department of Radiology, Ludwig-Maximilian-University, Munich, Germany
| | - Anita Riecher-Rössler
- Department of Psychiatry, University Psychiatric Clinic, Psychiatric University Hospital, University of Basel, Basel, Switzerland
| | - Rachel Upthegrove
- Institute of Mental Health, University of Birmingham, Birmingham, United Kingdom,School of Psychology, University of Birmingham, United Kingdom
| | - Jarmo Hietala
- Department of Psychiatry, University of Turku, Turku, Finland
| | | | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne, Melbourne, Australia ,Melbourne Health, Melbourne, Australia
| | - Eva Meisenzahl
- Department of Psychiatry and Psychotherapy, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Stephen J. Wood
- School of Psychology, University of Birmingham, United Kingdom,Orygen, the National Centre of Excellence for Youth Mental Health, Melbourne, Australia,Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Dirk Beque
- Corporate Global Research, GE Corporation, Munich, Germany
| | - Paolo Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy
| | - Stefan Borgwardt
- Department of Psychiatry, University Psychiatric Clinic, Psychiatric University Hospital, University of Basel, Basel, Switzerland
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36
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Analysis of voxel-mirrored homotopic connectivity in medication-free, current major depressive disorder. J Affect Disord 2018; 240:171-176. [PMID: 30075387 DOI: 10.1016/j.jad.2018.07.037] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 06/01/2018] [Accepted: 07/14/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND Recent neuroimaging studies suggest that abnormal function connectivity exists in patients with major depressive disorder (MDD). The aim of this study was to further analyze the underlying neural mechanism of MDD and explore whether clinical characteristics are correlated with the alerted homotopic connectivity in patients with MDD. METHODS Using voxel-mirrored homotopic connectivity (VMHC) during resting state, we compared 80 medication-free patients having current episodes of MDD and 124 never-depressed healthy controls (HCs) matched for age and gender. RESULTS We found decreased VMHC in patients with MDD in bilateral posterior cingulate cortex (PCC) extending to precuneus (Pre) compared with the HCs, which provided strong support for the potential role of PCC/Pre in recognizing interhemispheric connectivity deficits of MDD. Negative correlation between illness course and VMHC in PCC was observed as well. LIMITATIONS First, we just compared the functional connectivity at a rest state but not under a specific task. Second, we did not mitigate the delayed effect on the measurable alterations in homotopic brain activity. Third, we did not make a longitudinal comparison after patients receiving therapeutic drugs. CONCLUSIONS These findings that linking illness course with functional brain changes in depression help us understand the neural architecture of MDD.
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Wang C, Wu H, Chen F, Xu J, Li H, Li H, Wang J. Disrupted functional connectivity patterns of the insula subregions in drug-free major depressive disorder. J Affect Disord 2018; 234:297-304. [PMID: 29587165 DOI: 10.1016/j.jad.2017.12.033] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 11/17/2017] [Accepted: 12/26/2017] [Indexed: 11/29/2022]
Abstract
BACKGROUND Major depressive disorder (MDD) is characterized by impairments in emotional and cognitive functions. Emerging studies have shown that cognition and emotion interact by reaching identical brain regions, and the insula is one such region with functional and structural heterogeneity. Although previous literatures have shown the role of insula in MDD,it remains unclear whether the insular subregions show differential change patterns in MDD. METHODS Using the resting-state fMRI data in a group of 23 drug-free MDD patients and 34 healthy controls (HCs), we investigated whether the abnormal connectivity patterns of insular sub-regions or any behavioural correlates can be detected in MDD. Further hierarchical cluster analysis was used to identify the functional connectivity-clustering patterns of insular sub-regions. RESULTS Compared with HCs, the MDD exhibited higher connectivities between dorsal agranular insula and inferior parietal lobule and between ventral dysgranular and granular insula and thalamus/habehula, and lower connectivity of hypergranular insula to subgenual anterior cingulate cortex. Moreover, the three subregions with significant group differences were in three separate functional systems along anterior-to-posteior gradient. The anterior and middle insula showed positive correlation with depressive severity, while the posterior insular was to the contrary. LIMITATIONS The small and unbalanced sample size, only included moderate and severe depression and the possible inter-individual differences may limit the interpretability. CONCLUSIONS These findings provided evidences for the MDD-related effects in functional connectivity patterns of insular subregions, and revealed that the subregions might be involved in different neural circuits associated with the contrary impacts on the depressive symptoms.
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Affiliation(s)
- Chao Wang
- College of Psychology and Sociology, Shenzhen University, Shenzhen 518060, China; Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen 518060, China
| | - Huawang Wu
- Department of Radiology, The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou 100053, China
| | - Fangfang Chen
- College of mathematics and statistics, Shenzhen University of China, Shenzhen 518060, China
| | - Jinping Xu
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Hongming Li
- Center for Biomedical Image Computing and Analytics, Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hong Li
- College of Psychology and Sociology, Shenzhen University, Shenzhen 518060, China; Shenzhen Key Laboratory of Affective and Social Cognitive Science, Shenzhen University, Shenzhen 518060, China; Center for Language and Brain, Shenzhen Institute of Neuroscience, Shenzhen, China.
| | - Jiaojian Wang
- Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 625014, China.
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38
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Altered intrinsic activity and functional connectivity in two animal models with opposing fear memories. Neuroreport 2018; 29:690-696. [PMID: 29596154 DOI: 10.1097/wnr.0000000000001016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Post-traumatic stress disorder and sepsis-associated encephalopathy are two common neuropsychiatric disorders, but to some extent with opposing cognitive performance. However, the neural mechanisms underlying these two different phenomena remain poorly understood. In our study, the amplitude of low-frequency fluctuations (ALFF) of spontaneous blood oxygen level-dependent signals was used to assess regional disturbances in two animal models with opposing cognitive performance, namely post-traumatic stress disorder and sepsis-associated encephalopathy. Then, we examined whether the memory-relevant brain regions with impaired ALFF altered functional connectivity within the whole brain. Here, we showed that lipopolysaccharide challenge and footshock induced significantly different cognitive performance. We found significant group differences in ALFF in the bilateral dentate gyrus. In addition, our study showed that footshocks induced a significant decrease in functional connectivity between the left dentate gyrus and the visual cortex compared with the lipopolysaccharide group. Notably, cognitive performance was associated with ALFF values in the right dentate gyrus. In conclusion, our data suggested that damaged regional spontaneous activity and abnormal functional connectivity might be differently involved in two opposing fear memories.
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39
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Bilbao A, Falfán-Melgoza C, Leixner S, Becker R, Singaravelu SK, Sack M, Sartorius A, Spanagel R, Weber-Fahr W. Longitudinal Structural and Functional Brain Network Alterations in a Mouse Model of Neuropathic Pain. Neuroscience 2018; 387:104-115. [PMID: 29694917 DOI: 10.1016/j.neuroscience.2018.04.020] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2017] [Revised: 03/12/2018] [Accepted: 04/13/2018] [Indexed: 02/06/2023]
Abstract
Neuropathic pain affects multiple brain functions, including motivational processing. However, little is known about the structural and functional brain changes involved in the transition from an acute to a chronic pain state. Here we combined behavioral phenotyping of pain thresholds with multimodal neuroimaging to longitudinally monitor changes in brain metabolism, structure and connectivity using the spared nerve injury (SNI) mouse model of chronic neuropathic pain. We investigated stimulus-evoked pain responses prior to SNI surgery, and one and twelve weeks following surgery. A progressive development and potentiation of stimulus-evoked pain responses (cold and mechanical allodynia) were detected during the course of pain chronification. Voxel-based morphometry demonstrated striking decreases in volume following pain induction in all brain sites assessed - an effect that reversed over time. Similarly, all global and local network changes that occurred following pain induction disappeared over time, with two notable exceptions: the nucleus accumbens, which played a more dominant role in the global network in a chronic pain state and the prefrontal cortex and hippocampus, which showed lower connectivity. These changes in connectivity were accompanied by enhanced glutamate levels in the hippocampus, but not in the prefrontal cortex. We suggest that hippocampal hyperexcitability may contribute to alterations in synaptic plasticity within the nucleus accumbens, and to pain chronification.
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Affiliation(s)
- Ainhoa Bilbao
- Behavioral Genetics Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany; Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany.
| | - Claudia Falfán-Melgoza
- Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany
| | - Sarah Leixner
- Behavioral Genetics Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany; Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany
| | - Robert Becker
- Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany
| | - Sathish Kumar Singaravelu
- Behavioral Genetics Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany; Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany
| | - Markus Sack
- Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany
| | - Alexander Sartorius
- Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany
| | - Rainer Spanagel
- Institute of Psychopharmacology, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany
| | - Wolfgang Weber-Fahr
- Translational Imaging Research Group, Central Institute of Mental Health, Medical Faculty of Mannheim, University of Heidelberg, J5, 68159 Mannheim, Germany.
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40
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Yrondi A, Sporer M, Schmitt L, Arbus C. Major depressive disorder: An organic disorder! Presse Med 2018; 47:113-115. [PMID: 29622139 DOI: 10.1016/j.lpm.2017.12.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 12/07/2017] [Accepted: 12/13/2017] [Indexed: 12/15/2022] Open
Affiliation(s)
- Antoine Yrondi
- CHU Toulouse-Purpan, service de psychiatrie et psychologie médicale, 330, avenue de Grande Bretagne, 31059 Toulouse, France; University of Toulouse, Toulouse NeuroImaging Center, ToNIC, Inserm, UPS, 31059 Toulouse, France.
| | - Marie Sporer
- CHU Toulouse-Purpan, service de psychiatrie et psychologie médicale, 330, avenue de Grande Bretagne, 31059 Toulouse, France
| | - Laurent Schmitt
- CHU Toulouse-Purpan, service de psychiatrie et psychologie médicale, 330, avenue de Grande Bretagne, 31059 Toulouse, France
| | - Christophe Arbus
- CHU Toulouse-Purpan, service de psychiatrie et psychologie médicale, 330, avenue de Grande Bretagne, 31059 Toulouse, France; University of Toulouse, Toulouse NeuroImaging Center, ToNIC, Inserm, UPS, 31059 Toulouse, France
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41
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Zhang FF, Peng W, Sweeney JA, Jia ZY, Gong QY. Brain structure alterations in depression: Psychoradiological evidence. CNS Neurosci Ther 2018; 24:994-1003. [PMID: 29508560 DOI: 10.1111/cns.12835] [Citation(s) in RCA: 214] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2017] [Revised: 02/07/2018] [Accepted: 02/08/2018] [Indexed: 02/05/2023] Open
Abstract
Depression is the leading cause of disability around the world, but little is known about its pathology. Currently, the diagnosis of depression is made based on clinical manifestations, with little objective evidence. Magnetic resonance imaging (MRI) has been used to investigate the pathological changes in brain anatomy associated with this disorder. MRI can identify structural alterations in depressive patients in vivo, which could make considerable contributions to clinical diagnosis and treatment. Numerous studies that focused on gray and white matter have found significant brain region alterations in major depressive disorder patients, such as in the frontal lobe, hippocampus, temporal lobe, thalamus, striatum, and amygdala. The results are inconsistent and controversial because of the different demographic and clinical characteristics. However, some regions overlapped; thus, we think that there may be a "hub" in MDD and that an impairment in these regions contributes to disease severity. Brain connections contain both structural connections and functional connections, which reflect disease from a different view and support that MDD may be caused by the interaction of multiple brain regions. According to previous reports, significant circuits include the frontal-subcortical circuit, the suicide circuit, and the reward circuit. As has been recognized, the pathophysiology of major depressive disorder is complex and changeable. The current review focuses on the significant alterations in the gray and white matter of patients with the depressive disorder to generate a better understanding of the circuits. Moreover, identifying the nuances of depressive disorder and finding a biomarker will make a significant contribution to the guidance of clinical diagnosis and treatment.
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Affiliation(s)
- Fei-Fei Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - Wei Peng
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China
| | - John A Sweeney
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Department of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, OH, USA
| | - Zhi-Yun Jia
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Department of Nuclear Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qi-Yong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.,Department of Psychology, School of Public Administration, Sichuan University, Chengdu, China
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