1
|
Wüthrich F, Lefebvre S, Mittal VA, Shankman SA, Alexander N, Brosch K, Flinkenflügel K, Goltermann J, Grotegerd D, Hahn T, Jamalabadi H, Jansen A, Leehr EJ, Meinert S, Nenadić I, Nitsch R, Stein F, Straube B, Teutenberg L, Thiel K, Thomas-Odenthal F, Usemann P, Winter A, Dannlowski U, Kircher T, Walther S. The neural signature of psychomotor disturbance in depression. Mol Psychiatry 2024; 29:317-326. [PMID: 38036604 PMCID: PMC11116107 DOI: 10.1038/s41380-023-02327-1] [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: 06/23/2023] [Revised: 10/28/2023] [Accepted: 11/13/2023] [Indexed: 12/02/2023]
Abstract
Up to 70% of patients with major depressive disorder present with psychomotor disturbance (PmD), but at the present time understanding of its pathophysiology is limited. In this study, we capitalized on a large sample of patients to examine the neural correlates of PmD in depression. This study included 820 healthy participants and 699 patients with remitted (n = 402) or current (n = 297) depression. Patients were further categorized as having psychomotor retardation, agitation, or no PmD. We compared resting-state functional connectivity (ROI-to-ROI) between nodes of the cerebral motor network between the groups, including primary motor cortex, supplementary motor area, sensory cortex, superior parietal lobe, caudate, putamen, pallidum, thalamus, and cerebellum. Additionally, we examined network topology of the motor network using graph theory. Among the currently depressed 55% had PmD (15% agitation, 29% retardation, and 11% concurrent agitation and retardation), while 16% of the remitted patients had PmD (8% retardation and 8% agitation). When compared with controls, currently depressed patients with PmD showed higher thalamo-cortical and pallido-cortical connectivity, but no network topology alterations. Currently depressed patients with retardation only had higher thalamo-cortical connectivity, while those with agitation had predominant higher pallido-cortical connectivity. Currently depressed patients without PmD showed higher thalamo-cortical, pallido-cortical, and cortico-cortical connectivity, as well as altered network topology compared to healthy controls. Remitted patients with PmD showed no differences in single connections but altered network topology, while remitted patients without PmD did not differ from healthy controls in any measure. We found evidence for compensatory increased cortico-cortical resting-state functional connectivity that may prevent psychomotor disturbance in current depression, but may perturb network topology. Agitation and retardation show specific connectivity signatures. Motor network topology is slightly altered in remitted patients arguing for persistent changes in depression. These alterations in functional connectivity may be addressed with non-invasive brain stimulation.
Collapse
Affiliation(s)
- Florian Wüthrich
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
- Graduate School of Health Science, University of Bern, Bern, Switzerland.
| | - Stephanie Lefebvre
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland.
| | - Vijay A Mittal
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
- Department of Psychology, Northwestern University, Evanston, IL, USA
- Northwestern University, Institute for Innovations in Developmental Sciences, Evanston/Chicago, IL, USA
- Northwestern University, Institute for Policy Research, Evanston, IL, USA
- Northwestern University, Medical Social Sciences, Chicago, IL, USA
| | - Stewart A Shankman
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Nina Alexander
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Kira Flinkenflügel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Hamidreza Jamalabadi
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
| | - Andreas Jansen
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
- Core-Facility Brain imaging, Faculty of Medicine, University of Marburg, Marburg, Germany
| | - Elisabeth J Leehr
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Robert Nitsch
- Institute for Translational Neuroscience, University of Münster, Münster, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Benjamin Straube
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Lea Teutenberg
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Florian Thomas-Odenthal
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Paula Usemann
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, Münster, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
- Center for Mind, Brain and Behavior (CMBB), University of Marburg, Marburg, Germany
| | - Sebastian Walther
- Translational Research Center, University Hospital of Psychiatry and Psychotherapy, University of Bern, Bern, Switzerland
| |
Collapse
|
2
|
Wang J, Chen HS, Li HH, Wang HJ, Zou RS, Lu XJ, Wang J, Nie BB, Wu JF, Li S, Shan BC, Wu PF, Long LH, Hu ZL, Chen JG, Wang F. Microglia-dependent excessive synaptic pruning leads to cortical underconnectivity and behavioral abnormality following chronic social defeat stress in mice. Brain Behav Immun 2023; 109:23-36. [PMID: 36581303 DOI: 10.1016/j.bbi.2022.12.019] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 12/17/2022] [Accepted: 12/24/2022] [Indexed: 12/28/2022] Open
Abstract
Synapse loss in medial prefrontal cortex (mPFC) has been implicated in stress-related mood disorders, such as depression. However, the exact effect of synapse elimination in the depression and how it is triggered are largely unknown. Through repeated longitudinal imaging of mPFC in the living brain, we found both presynaptic and postsynaptic components were declined, together with the impairment of synapse remodeling and cross-synaptic signal transmission in the mPFC during chronic stress. Meanwhile, chronic stress also induced excessive microglia phagocytosis, leading to engulfment of excitatory synapses. Further investigation revealed that the elevated complement C3 during the stress acted as the tag of synapses to be eliminated by microglia. Besides, chronic stress induced a reduction of the connectivity between the mPFC and neighbor regions. C3 knockout mice displayed significant reduction of synaptic pruning and alleviation of disrupted functional connectivity in mPFC, resulting in more resilience to chronic stress. These results indicate that complement-mediated excessive microglia phagocytosis in adulthood induces synaptic dysfunction and cortical hypo-connectivity, leading to stress-related behavioral abnormality.
Collapse
Affiliation(s)
- Ji Wang
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China
| | - Hong-Sheng Chen
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China
| | - Hou-Hong Li
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China
| | - Hua-Jie Wang
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China
| | - Ruo-Si Zou
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China
| | - Xiao-Jia Lu
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China
| | - Jie Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bin-Bin Nie
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jin-Feng Wu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Shuang Li
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Bao-Ci Shan
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Key Laboratory of Magnetic Resonance in Biological Systems, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei 430071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peng-Fei Wu
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China; The Research Center for Depression, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, China; The Key Laboratory for Drug Target Researches and Pharmacodynamic Evaluation of Hubei Province, 430030 Wuhan, China; Key Laboratory of Neurological Diseases (HUST), Ministry of Education of China, Wuhan, Wuhan City, Hubei 430030, China; Laboratory of Neuropsychiatric Diseases, The Institute of Brain Research, Huazhong University of Science and Technology, 430030 Wuhan, China
| | - Li-Hong Long
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China; The Research Center for Depression, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, China; The Key Laboratory for Drug Target Researches and Pharmacodynamic Evaluation of Hubei Province, 430030 Wuhan, China; Key Laboratory of Neurological Diseases (HUST), Ministry of Education of China, Wuhan, Wuhan City, Hubei 430030, China; Laboratory of Neuropsychiatric Diseases, The Institute of Brain Research, Huazhong University of Science and Technology, 430030 Wuhan, China
| | - Zhuang-Li Hu
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China; The Research Center for Depression, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, China; The Key Laboratory for Drug Target Researches and Pharmacodynamic Evaluation of Hubei Province, 430030 Wuhan, China; Key Laboratory of Neurological Diseases (HUST), Ministry of Education of China, Wuhan, Wuhan City, Hubei 430030, China; Laboratory of Neuropsychiatric Diseases, The Institute of Brain Research, Huazhong University of Science and Technology, 430030 Wuhan, China.
| | - Jian-Guo Chen
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China; The Research Center for Depression, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, China; The Key Laboratory for Drug Target Researches and Pharmacodynamic Evaluation of Hubei Province, 430030 Wuhan, China; Key Laboratory of Neurological Diseases (HUST), Ministry of Education of China, Wuhan, Wuhan City, Hubei 430030, China; Laboratory of Neuropsychiatric Diseases, The Institute of Brain Research, Huazhong University of Science and Technology, 430030 Wuhan, China.
| | - Fang Wang
- Department of Pharmacology, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, Hubei 430030, China; The Research Center for Depression, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, China; The Key Laboratory for Drug Target Researches and Pharmacodynamic Evaluation of Hubei Province, 430030 Wuhan, China; Key Laboratory of Neurological Diseases (HUST), Ministry of Education of China, Wuhan, Wuhan City, Hubei 430030, China; Laboratory of Neuropsychiatric Diseases, The Institute of Brain Research, Huazhong University of Science and Technology, 430030 Wuhan, China.
| |
Collapse
|
3
|
Xiong Y, Ye C, Chen Y, Zhong X, Chen H, Sun R, Zhang J, Zhong Z, Huang M. Altered Functional Connectivity of Basal Ganglia in Mild Cognitive Impairment and Alzheimer's Disease. Brain Sci 2022; 12:1555. [PMID: 36421879 PMCID: PMC9688931 DOI: 10.3390/brainsci12111555] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 11/04/2022] [Accepted: 11/12/2022] [Indexed: 06/28/2024] Open
Abstract
(1) Background: Alzheimer's disease (AD), an age-progressive neurodegenerative disease that affects cognitive function, causes changes in the functional connectivity of the default-mode network (DMN). However, the question of whether AD-related changes occur in the functional connectivity of the basal ganglia has rarely been specifically analyzed. This study aimed to measure the changes in basal ganglia functional connectivity among patients with AD and mild cognitive impairment (MCI) in their resting state using the functional connectivity density (FCD) value, the functional connectivity (FC) intensity, and the graph theory index, and to confirm their influence on clinical manifestations. (2) Methods: Resting-state functional MRI (rs-fMRI) and neuropsychological data from 48 participants in the Alzheimer's Disease Neuroimaging Initiative (ADNI) were used for analyses. The 48 ADNI participants comprised 16 patients with AD, 16 patients with MCI, and 16 normal controls (NCs). The functional connectivity of basal ganglia was evaluated by FCDs, FC strength, and graph theory index. We compared voxel-based FCD values between groups to show specific regions with significant variation and significant connectivity from ROI conduction to ROI analysis. Pearson's correlation analyses between functional connectivity and several simultaneous clinical variables were also conducted. Additionally, receiver operating characteristic (ROC) analyses associated with classification were conducted for both FCD values and graph theory indices. (3) Results: The level of FCD in patients with cognitive impairment showed obvious abnormalities (including short-range and long-range FCD). In addition to DMN-related regions, aberrant functional connectivity was also found to be present in the basal ganglia, especially in the caudate and amygdala. The FCD values of the basal ganglia (involving the caudate and amygdala) were closely related to scores from the Mini-Mental State Examination (MMSE) and the Functional Activities Questionnaire (FAQ); meanwhile, the graph theory indices (involving global efficiency and degree) of the basal ganglia (involving the caudate, amygdala, and putamen) were also found to be closely correlated with MMSE scores. In ROC analyses of both FCD and graph theory, the amygdala was of the utmost importance in the early-stage detection of MCI; additionally, the caudate nucleus was found to be crucial in the progression of cognitive decline and AD diagnosis. (4) Conclusions: It was systematically confirmed that there is a phenomenon of change in the functional connections in the basal ganglia during cognitive decline. The findings of this study could improve our understanding of AD and MCI pathology in the basal ganglia and make it possible to propose new targets for AD treatment in further studies.
Collapse
Affiliation(s)
- Yu Xiong
- Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Chenghui Ye
- Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Ying Chen
- Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Xiaochun Zhong
- Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Hongda Chen
- Department of Traditional Chinese Medicine, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Ruxin Sun
- Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Jiaqi Zhang
- Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Zhanhua Zhong
- Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| | - Min Huang
- Department of Neurology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen 518107, China
| |
Collapse
|
4
|
Jackson TB, Bernard JA. Cerebellar and basal ganglia motor network predicts trait depression and hyperactivity. Front Behav Neurosci 2022; 16:953303. [PMID: 36187378 PMCID: PMC9523104 DOI: 10.3389/fnbeh.2022.953303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 08/30/2022] [Indexed: 11/23/2022] Open
Abstract
In the human brain, the cerebellum (CB) and basal ganglia (BG) are implicated in cognition-, emotion-, and motor-related cortical processes and are highly interconnected, both to cortical regions via separate, trans-thalamic pathways and to each other via subcortical disynaptic pathways. We previously demonstrated a distinction between cognitive and motor CB-BG networks (CCBN, MCBN, respectively) as it relates to cortical network integration in healthy young adults, suggesting the subcortical networks separately support cortical networks. The CB and BG are also implicated in the pathophysiology of schizophrenia, Parkinson's, and compulsive behavior; thus, integration within subcortical CB-BG networks may be related to transdiagnostic symptomology. Here, we asked whether CCBN or MCBN integration predicted Achenbach Self-Report scores for anxiety, depression, intrusive thoughts, hyperactivity and inactivity, and cognitive performance in a community sample of young adults. We computed global efficiency for each CB-BG network and 7 canonical resting-state networks for all right-handed participants in the Human Connectome Project 1200 release with a complete set of preprocessed resting-state functional MRI data (N = 783). We used multivariate regression to control for substance abuse and age, and permutation testing with exchangeability blocks to control for family relationships. MCBN integration negatively predicted depression and hyperactivity, and positively predicted cortical network integration. CCBN integration predicted cortical network integration (except for the emotional network) and marginally predicted a positive relationship with hyperactivity, indicating a potential dichotomy between cognitive and motor CB-BG networks and hyperactivity. These results highlight the importance of CB-BG interactions as they relate to motivation and symptoms of depression.
Collapse
Affiliation(s)
- T. Bryan Jackson
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United States
- *Correspondence: T. Bryan Jackson
| | - Jessica A. Bernard
- Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, United States
- Texas A&M Institute for Neuroscience, Texas A&M University, College Station, TX, United States
| |
Collapse
|
5
|
Kositsyn YMHB, Volgin AD, de Abreu MS, Demin KA, Zabegalov KN, Maslov GO, Petersen EV, Kolesnikova TO, Strekalova T, Kalueff AV. Towards translational modeling of behavioral despair and its treatment in zebrafish. Behav Brain Res 2022; 430:113906. [PMID: 35489477 DOI: 10.1016/j.bbr.2022.113906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 04/03/2022] [Accepted: 04/24/2022] [Indexed: 11/26/2022]
Abstract
Depression is a widespread and severely debilitating neuropsychiatric disorder whose key clinical symptoms include low mood, anhedonia and despair (the inability or unwillingness to overcome stressors). Experimental animal models are widely used to improve our mechanistic understanding of depression pathogenesis, and to develop novel antidepressant therapies. In rodents, various experimental models of 'behavioral despair' have already been developed and rigorously validated. Complementing rodent studies, the zebrafish (Danio rerio) is emerging as a powerful model organism to assess pathobiological mechanisms of depression and other related affective disorders. Here, we critically discuss the developing potential and important translational implications of zebrafish models for studying despair and its mechanisms, and the utility of such aquatic models for antidepressant drug screening.
Collapse
Affiliation(s)
- Yuriy M H B Kositsyn
- School of Pharmacy, Southwest University, Chongqing, China; Neurobiology Program, Sirius University of Science and Technology, Sochi, Russia; Sirius University of Science and Technology, Sochi, Russia
| | - Andrew D Volgin
- Neurobiology Program, Sirius University of Science and Technology, Sochi, Russia; Sirius University of Science and Technology, Sochi, Russia
| | - Murilo S de Abreu
- Laboratory of Cell and Molecular Biology and Neurobiology, Moscow Institute of Physics and Technology, Moscow, Russia; Bioscience Institute, University of Passo Fundo, Passo Fundo, RS, Brazil; Sirius University of Science and Technology, Sochi, Russia.
| | - Konstantin A Demin
- Institute of Experimental Medicine, Almazov National Medcial Research Center, Ministry of Healthcare of Russian Federation, St. Petersburg, Russia; Institute of Translational Biomedicine, St. Petersburg State University, St. Petersburg, Russia; Granov Russian Scientific Research Center of Radiology and Surgical Technologies, Ministry of Healthcare of Russian Federation, St. Petersburg, Russia; Sirius University of Science and Technology, Sochi, Russia
| | | | - Gleb O Maslov
- Ural Federal University, Ekaterinburg, Russia; Sirius University of Science and Technology, Sochi, Russia
| | | | | | - Tatiana Strekalova
- University of Maastricht, Maastricht, Netherlands; Sirius University of Science and Technology, Sochi, Russia
| | - Allan V Kalueff
- Ural Federal University, Ekaterinburg, Russia; University of Maastricht, Maastricht, Netherlands; Sirius University of Science and Technology, Sochi, Russia.
| |
Collapse
|
6
|
Zhu T, Wang Z, Zhou C, Fang X, Huang C, Xie C, Ge H, Yan Z, Zhang X, Chen J. Meta-analysis of structural and functional brain abnormalities in schizophrenia with persistent negative symptoms using activation likelihood estimation. Front Psychiatry 2022; 13:957685. [PMID: 36238945 PMCID: PMC9552970 DOI: 10.3389/fpsyt.2022.957685] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/05/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Persistent negative symptoms (PNS) include both primary and secondary negative symptoms that persist after adequate treatment, and represent an unmet therapeutic need. Published magnetic resonance imaging (MRI) evidence of structural and resting-state functional brain abnormalities in schizophrenia with PNS has been inconsistent. Thus, the purpose of this meta-analysis is to identify abnormalities in structural and functional brain regions in patients with PNS compared to healthy controls. METHODS We systematically searched PubMed, Web of Science, and Embase for structural and functional imaging studies based on five research methods, including voxel-based morphometry (VBM), diffusion tensor imaging (DTI), functional connectivity (FC), the amplitude of low-frequency fluctuation or fractional amplitude of low-frequency fluctuation (ALFF/fALFF), and regional homogeneity (ReHo). Afterward, we conducted a coordinate-based meta-analysis by using the activation likelihood estimation algorithm. RESULTS Twenty-five structural MRI studies and thirty-two functional MRI studies were included in the meta-analyses. Our analysis revealed the presence of structural alterations in patients with PNS in some brain regions including the bilateral insula, medial frontal gyrus, anterior cingulate gyrus, left amygdala, superior temporal gyrus, inferior frontal gyrus, cingulate gyrus and middle temporal gyrus, as well as functional differences in some brain regions including the bilateral precuneus, thalamus, left lentiform nucleus, posterior cingulate gyrus, medial frontal gyrus, and superior frontal gyrus. CONCLUSION Our study suggests that structural brain abnormalities are consistently located in the prefrontal, temporal, limbic and subcortical regions, and functional alterations are concentrated in the thalamo-cortical circuits and the default mode network (DMN). This study provides new insights for targeted treatment and intervention to delay further progression of negative symptoms. SYSTEMATIC REVIEW REGISTRATION [https://www.crd.york.ac.uk/prospero/], identifier [CRD42022338669].
Collapse
Affiliation(s)
- Tingting Zhu
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zixu Wang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chao Zhou
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xinyu Fang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Chengbing Huang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,Department of Psychiatry, The Third People's Hospital of Huai'an, Huaian, China
| | - Chunming Xie
- Department of Neurology, Affiliated ZhongDa Hospital, School of Medicine Southeast University, Nanjing, China
| | - Honglin Ge
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Zheng Yan
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China.,The Affiliated Xuzhou Oriental Hospital of Xuzhou Medical University, Xuzhou, China
| | - Jiu Chen
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| |
Collapse
|
7
|
Scangos KW, Khambhati AN, Daly PM, Owen LW, Manning JR, Ambrose JB, Austin E, Dawes HE, Krystal AD, Chang EF. Distributed Subnetworks of Depression Defined by Direct Intracranial Neurophysiology. Front Hum Neurosci 2021; 15:746499. [PMID: 34744662 PMCID: PMC8566975 DOI: 10.3389/fnhum.2021.746499] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 09/02/2021] [Indexed: 12/30/2022] Open
Abstract
Major depressive disorder is a common and disabling disorder with high rates of treatment resistance. Evidence suggests it is characterized by distributed network dysfunction that may be variable across patients, challenging the identification of quantitative biological substrates. We carried out this study to determine whether application of a novel computational approach to a large sample of high spatiotemporal resolution direct neural recordings in humans could unlock the functional organization and coordinated activity patterns of depression networks. This group level analysis of depression networks from heterogenous intracranial recordings was possible due to application of a correlational model-based method for inferring whole-brain neural activity. We then applied a network framework to discover brain dynamics across this model that could classify depression. We found a highly distributed pattern of neural activity and connectivity across cortical and subcortical structures that was present in the majority of depressed subjects. Furthermore, we found that this depression signature consisted of two subnetworks across individuals. The first was characterized by left temporal lobe hypoconnectivity and pathological beta activity. The second was characterized by a hypoactive, but hyperconnected left frontal cortex. These findings have applications toward personalization of therapy.
Collapse
Affiliation(s)
- Katherine Wilson Scangos
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Ankit N. Khambhati
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Patrick M. Daly
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Lucy W. Owen
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States
| | - Jeremy R. Manning
- Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH, United States
| | - Josiah B. Ambrose
- Kaiser Permanente Redwood City Medical Center, Redwood City, CA, United States
| | - Everett Austin
- Kaiser Permanente Redwood City Medical Center, Redwood City, CA, United States
| | - Heather E. Dawes
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| | - Andrew D. Krystal
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Edward F. Chang
- Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, United States
| |
Collapse
|
8
|
Abraham E, Posner J, Wickramaratne PJ, Aw N, van Dijk MT, Cha J, Weissman MM, Talati A. Concordance in parent and offspring cortico-basal ganglia white matter connectivity varies by parental history of major depressive disorder and early parental care. Soc Cogn Affect Neurosci 2020; 15:889-903. [PMID: 33031555 PMCID: PMC7543940 DOI: 10.1093/scan/nsaa118] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/23/2020] [Accepted: 08/18/2020] [Indexed: 12/17/2022] Open
Abstract
Social behavior is transmitted cross-generationally through coordinated behavior within attachment bonds. Parental depression and poor parental care are major risks for disruptions of such coordination and are associated with offspring's psychopathology and interpersonal dysfunction. Given the key role of the cortico-basal ganglia (CBG) circuits in social communication, we examined similarities (concordance) of parent-offspring CBG white matter (WM) connections and how parental history of major depressive disorder (MDD) and early parental care moderate these similarities. We imaged 44 parent-offspring dyads and investigated WM connections between basal-ganglia seeds and selected regions in temporal cortex using diffusion tensor imaging (DTI) tractography. We found significant concordance in parent-offspring strength of CBG WM connections, moderated by parental lifetime-MDD and care. The results showed diminished neural concordance among dyads with a depressed parent and that better parental care predicted greater concordance, which also provided a protective buffer against attenuated concordance among dyads with a depressed parent. Our findings provide the first neurobiological evidence of concordance between parents-offspring in WM tracts and that concordance is diminished in families where parents have lifetime-MDD. This disruption may be a risk factor for intergenerational transmission of psychopathology. Findings emphasize the long-term role of early caregiving in shaping the neural concordance among at-risk and affected dyads.
Collapse
Affiliation(s)
- Eyal Abraham
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, USA
| | - Jonathan Posner
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Child Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Priya J Wickramaratne
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, USA
- Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Natalie Aw
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Child Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Milenna T van Dijk
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, USA
| | - Jiook Cha
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Child Psychiatry, New York State Psychiatric Institute, New York, NY, USA
| | - Myrna M Weissman
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, USA
- Departments of Epidemiology, New York, NY, USA
| | - Ardesheer Talati
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
- Divisions of Translational Epidemiology, New York State Psychiatric Institute, New York, NY, USA
| |
Collapse
|
9
|
Liu S, Zhao W, Li Y, Li X, Li J, Cao H, Yang Z, Xu Y. Improve cognition of depressive patients through the regulation of basal ganglia connectivity: Combined medication using Shuganjieyu capsule. J Psychiatr Res 2020; 123:39-47. [PMID: 32035307 DOI: 10.1016/j.jpsychires.2020.01.013] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 01/24/2020] [Accepted: 01/25/2020] [Indexed: 01/25/2023]
Abstract
Shuganjieyu capsule (Shugan) is a combined extract of Hypericum perforatum (HP) and Eleutherococcus senticosus (ES). Both HP and ES have been proven effective in the treatment of depression and impaired cognition. However, for mild to moderate depression (MMD), the treatment effect and underlying mechanism by combining both HP and ES are largely unknown. Here, we aim to evaluate the therapeutic effects on impaired cognition using Shugan, a combined medication of HP and ES. Resting-state magnetic resonance imaging (MRI) data and cognitive assessment have been collected from 54 healthy controls and 55 MMD patients that have been undergoing 8-week Shugan-treatment. The functional connectivity (FC) and brain region volume changes of the basal ganglia seeded circuit have been measured, and their relation with the cognitive assessment score was calculated. After that, a literature-based pathway analysis has been conducted to explore the biological relations among Shugan, brain regions, and depression. Compared to healthy controls, MMD patients demonstrated a significantly higher FC (P= 0.0025) between right ventral caudate (vCa) and left orbitofrontal cortex (OFC), which was decreased after the treatment (P < 0.001). A volume of the right caudate, which is increased in MMD, has also been reduced by Shugan treatment (P= 0.017). Importantly, the cognitive scores were strongly correlated with both Shugan treatment and the FC between vCa and OFC (r= 0.321, P= 0.02). Besides, we identified multiple signaling pathways, through which Shugan might improve the cognition of MMD patients. Our results support the therapeutic effects of Shugan on cognition in MMD, which may be realized partly through the regulation within two brain regions, vCa and OFC.
Collapse
Affiliation(s)
- Sha Liu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Wentao Zhao
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Yaojun Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Xinrong Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Jing Li
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China
| | - Hongbao Cao
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China; School of Systems Biology, George Mason University (GMU), Fairfax, VA, USA
| | - Zhi Yang
- Laboratory of Psychological Health and Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University Medical School, Shanghai, China
| | - Yong Xu
- Shanxi Key Laboratory of Artificial Intelligence Assisted Diagnosis and Treatment for Mental Disorder, First Hospital of Shanxi Medical University, Taiyuan, China; Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.
| |
Collapse
|
10
|
Liu CH, Tang LR, Gao Y, Zhang GZ, Li B, Li M, Woelfer M, Martin W, Wang L. Resting-state mapping of neural signatures of vulnerability to depression relapse. J Affect Disord 2019; 250:371-379. [PMID: 30877860 DOI: 10.1016/j.jad.2019.03.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Revised: 12/21/2018] [Accepted: 03/04/2019] [Indexed: 01/17/2023]
Abstract
BACKGROUND Patients with major depressive disorder (MDD) can frequently develop new depressive episodes after remission. However, the neural mechanisms underlying the increased risk for depressive relapse remain unclear. Herein, we aimed to explore whether the specific changes to regional and inter-regional spontaneous brain activities within DMN are associated with the course of episodes in pooled MDD patients. METHODS Resting-state functional magnetic resonance imaging was performed on patients with single-episode MDD (SEMDD, n = 30) and multiple-episode MDD (MEMDD, n = 54), and 71 age-, gender-, and educational level-matched healthy controls (HCs). We then accessed the differences in both the fractional amplitude of low-frequency fluctuations (fALFF) and functional connectivity by using the right precuneus as the seed among different groups. RESULTS Compared to the MEMDD and HC groups, the SEMDD group exhibited increased fALFF values in the right subgenual anterior cingulate cortex and right middle temporal gyrus. Decreased fALFF values in the right thalamus in the MEMDD group were also identified relative to the SEMDD and HC group. The peak values of fALFF in the right precuneus showed a negative correlation with the number of depressive episodes across the entire pool of MDD patients. No correlation was identified between functional connectivity using the right precuneus as the seed and the number of depressive episodes for the pooled MDD patients. LIMITATIONS Medication, a relatively small sample size, and hypothesis driven study. CONCLUSIONS Our neuroimaging results identified depression relapse-associated neural signatures and also indicated the role of reduced emotional appraisals in the thalamus. It is now possible to believe that the regional activity not inter-regional connectivity within the DMN may be involved in the pathology of depression relapse.
Collapse
Affiliation(s)
- Chun-Hong Liu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Acupuncture Neuromodulation, Beijing 100010, China; Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China.
| | - Li-Rong Tang
- Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Yue Gao
- Department of Radiology and Psychiatry, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Guang-Zhong Zhang
- Dermatological Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, China
| | - Bin Li
- Acupuncture and Moxibustion Department, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing 100010, China
| | - Meng Li
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Marie Woelfer
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany; Department of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA
| | - Walter Martin
- Clinical Affective Neuroimaging Laboratory (CANLAB), Otto-von-Guericke-University Magdeburg, Magdeburg, Germany; Department of Psychiatry, University of Tuebingen, Tubeingen, Germany
| | - Lihong Wang
- Department of Psychiatry, University of Connecticut Health Center, Farmington, CT 06030, USA
| |
Collapse
|
11
|
Crider A, Nelson T, Davis T, Fagan K, Vaibhav K, Luo M, Kamalasanan S, Terry AV, Pillai A. Estrogen Receptor β Agonist Attenuates Endoplasmic Reticulum Stress-Induced Changes in Social Behavior and Brain Connectivity in Mice. Mol Neurobiol 2018; 55:7606-7618. [PMID: 29430617 PMCID: PMC6070416 DOI: 10.1007/s12035-018-0929-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Accepted: 01/24/2018] [Indexed: 11/26/2022]
Abstract
Impaired social interaction is a key feature of several major psychiatric disorders including depression, autism, and schizophrenia. While, anatomically, the prefrontal cortex (PFC) is known as a key regulator of social behavior, little is known about the cellular mechanisms that underlie impairments of social interaction. One etiological mechanism implicated in the pathophysiology of the aforementioned psychiatric disorders is cellular stress and consequent adaptive responses in the endoplasmic reticulum (ER) that can result from a variety of environmental and physical factors. The ER is an organelle that serves essential roles in protein modification, folding, and maturation of proteins; however, the specific role of ER stress in altered social behavior is unknown. In this study, treatment with tunicamycin, an ER stress inducer, enhanced the phosphorylation level of inositol-requiring ER-to-nucleus signal kinase 1 (IRE1) and increased X-box-binding protein 1 (XBP1) mRNA splicing activity in the mouse PFC, whereas inhibition of IRE1/XBP1 pathway in PFC by a viral particle approach attenuated social behavioral deficits caused by tunicamycin treatment. Reduced estrogen receptor beta (ERβ) protein levels were found in the PFC of male mice following tunicamycin treatment. Pretreatment with an ERβ specific agonist, ERB-041 significantly attenuated tunicamycin-induced deficits in social behavior, and activation of IRE1/XBP1 pathway in mouse PFC. Moreover, ERB-041 inhibited tunicamycin-induced increases in functional connectivity between PFC and hippocampus in male mice. Together, these results show that ERβ agonist attenuates ER stress-induced deficits in social behavior through the IRE-1/XBP1 pathway.
Collapse
Affiliation(s)
- Amanda Crider
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, 997 St. Sebastian Way, Augusta, GA, 30912, USA
| | - Tyler Nelson
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, 997 St. Sebastian Way, Augusta, GA, 30912, USA
| | - Talisha Davis
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, 997 St. Sebastian Way, Augusta, GA, 30912, USA
| | - Kiley Fagan
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, 997 St. Sebastian Way, Augusta, GA, 30912, USA
| | - Kumar Vaibhav
- Department of Neurosurgery, and Department of Medical Laboratory Imaging and Radiologic Sciences (MLLIRS-CAHS), Augusta University, Augusta, GA, 30912, USA
| | - Matthew Luo
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, 997 St. Sebastian Way, Augusta, GA, 30912, USA
| | - Sunay Kamalasanan
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, 997 St. Sebastian Way, Augusta, GA, 30912, USA
| | - Alvin V Terry
- Department of Pharmacology and Toxicology, Augusta University, Augusta, GA, 30912, USA
| | - Anilkumar Pillai
- Department of Psychiatry and Health Behavior, Medical College of Georgia, Augusta University, 997 St. Sebastian Way, Augusta, GA, 30912, USA.
| |
Collapse
|
12
|
Zhuo C, Zhu J, Wang C, Qu H, Ma X, Qin W. Different spatial patterns of brain atrophy and global functional connectivity impairments in major depressive disorder. Brain Imaging Behav 2018; 11:1678-1689. [PMID: 27766588 PMCID: PMC5707231 DOI: 10.1007/s11682-016-9645-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Alterations in grey matter structure and functional connectivity (FC) are pathological features of major depressive disorder (MDD). However, the relationship between brain structural and functional impairments in MDD remains uncertain. Thus, the aim of this study was to investigate the relationship between alterations in grey matter volume (GMV) and resting-state global functional connectivity density (rs-gFCD) in MDD. Forty-five patients with MDD and 48 healthy controls underwent structural and resting-state functional magnetic resonance imaging (fMRI). GMV and rs-gFCD maps of each subject were created, and the intergroup differences in these neuroimaging metrics were evaluated. Compared to healthy controls, patients with MDD displayed reduced GMV in the left insula, putamen, amygdala and hippocampus (mainly in the limbic system). In contrast, decreased rs-gFCD was observed in the left postcentral and precentral gyri, right fusiform gyrus and lingual gyrus (mainly in the sensory system). Furthermore, we found no significant correlations between GMV and rs-gFCD in these brain regions. Finally, overlap ratio analysis demonstrated that the spatial distribution patterns of intergroup differences on the GMV and rs-gFCD maps were distinct. Our findings suggest that the presence of distinct spatial distribution patterns of brain atrophy and global FC impairments might be pathological features of MDD.
Collapse
Affiliation(s)
- Chuanjun Zhuo
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, 300052, China.,Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin, China.,Department of Psychiatry, Wenzhou seventh people's hospital, Wenzhou, Zhejiang, China.,Institute of Mental Health, Jining Medical University, Jining, Shandong, China
| | - Jiajia Zhu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, 300052, China
| | - Chunli Wang
- Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin, China
| | - Hongru Qu
- Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin, China
| | - Xiaolei Ma
- Department of Psychiatry Functional Neuroimaging Laboratory, Tianjin Mental Health Center, Tianjin Anding Hospital, Tianjin, China
| | - Wen Qin
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, No. 154, Anshan Road, Heping District, Tianjin, 300052, China.
| |
Collapse
|
13
|
Grey matter reduction in the caudate nucleus in patients with persistent negative symptoms: An ALE meta-analysis. Schizophr Res 2018; 192:9-15. [PMID: 28390850 DOI: 10.1016/j.schres.2017.04.005] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 03/20/2017] [Accepted: 04/01/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVES In the present study, we used Activation Likelihood Estimation (ALE) meta-analysis to quantitatively examine brain grey matter reduction in schizophrenia patients with persistent negative symptoms (PNS). METHOD A total of 12 voxel-based morphometry (VBM) studies were included in ALE meta-analysis using more stringent criterion of PNS. RESULTS Significant grey matter reduction in the PNS group relative to controls was observed in the left caudate nucleus, the left precentral region, the left middle frontal region, the bilateral parahippocampal region, the left anterior cingulate region, the bilateral medial frontal gyrus, the thalamus and the insula. CONCLUSION Our results suggest that brain regions in the reward network may be specifically related to PNS, especially the left caudate nucleus. It is possible that abnormality in reward processing may constitute the neural basis of PNS.
Collapse
|
14
|
Helm K, Viol K, Weiger TM, Tass PA, Grefkes C, Del Monte D, Schiepek G. Neuronal connectivity in major depressive disorder: a systematic review. Neuropsychiatr Dis Treat 2018; 14:2715-2737. [PMID: 30425491 PMCID: PMC6200438 DOI: 10.2147/ndt.s170989] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The causes of major depressive disorder (MDD), as one of the most common psychiatric disorders, still remain unclear. Neuroimaging has substantially contributed to understanding the putative neuronal mechanisms underlying depressed mood and motivational as well as cognitive impairments in depressed individuals. In particular, analyses addressing changes in interregional connectivity seem to be a promising approach to capture the effects of MDD at a systems level. However, a plethora of different, sometimes contradicting results have been published so far, making general conclusions difficult. Here we provide a systematic overview about connectivity studies published in the field over the last decade considering different methodological as well as clinical issues. METHODS A systematic review was conducted extracting neuronal connectivity results from studies published between 2002 and 2015. The findings were summarized in tables and were graphically visualized. RESULTS The review supports and summarizes the notion of an altered frontolimbic mood regulation circuitry in MDD patients, but also stresses the heterogeneity of the findings. The brain regions that are most consistently affected across studies are the orbitomedial prefrontal cortex, anterior cingulate cortex, amygdala, hippocampus, cerebellum and the basal ganglia. CONCLUSION The results on connectivity in MDD are very heterogeneous, partly due to different methods and study designs, but also due to the temporal dynamics of connectivity. While connectivity research is an important step toward a complex systems approach to brain functioning, future research should focus on the dynamics of functional and effective connectivity.
Collapse
Affiliation(s)
- Katharina Helm
- Institute of Physiology and Pathophysiology, Paracelsus Medical University Salzburg, Salzburg, Austria.,Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Kathrin Viol
- Institute of Synergetics and Psychotherapy Research, University Hospital for Psychiatry, Psychotherapy and Psychosomatics, Paracelsus Medical University Salzburg, Salzburg, Austria,
| | - Thomas M Weiger
- Department of Biosciences, University of Salzburg, Salzburg, Austria
| | - Peter A Tass
- Department of Neurosurgery, Stanford University, Stanford CA, USA
| | - Christian Grefkes
- Department of Neurology, Cologne University Hospital, Cologne, Germany.,Institute of Medicine and Neurosciences - Cognitive Neurology (INM-3), Research Center Juelich, Juelich, Germany
| | - Damir Del Monte
- Institute of Synergetics and Psychotherapy Research, University Hospital for Psychiatry, Psychotherapy and Psychosomatics, Paracelsus Medical University Salzburg, Salzburg, Austria,
| | - Günter Schiepek
- Institute of Synergetics and Psychotherapy Research, University Hospital for Psychiatry, Psychotherapy and Psychosomatics, Paracelsus Medical University Salzburg, Salzburg, Austria, .,Ludwig Maximilians University, Department for Psychology, Munich, Germany,
| |
Collapse
|
15
|
Avissar M, Powell F, Ilieva I, Respino M, Gunning FM, Liston C, Dubin MJ. Functional connectivity of the left DLPFC to striatum predicts treatment response of depression to TMS. Brain Stimul 2017; 10:919-925. [PMID: 28747260 DOI: 10.1016/j.brs.2017.07.002] [Citation(s) in RCA: 84] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 06/03/2017] [Accepted: 07/11/2017] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Repetitive transcranial magnetic stimulation (TMS) is a non-invasive, safe, and efficacious treatment for depression. TMS has been shown to normalize abnormal functional connectivity of cortico-cortical circuits in depression and baseline functional connectivity of these circuits predicts treatment response. Less is known about the relationship between functional connectivity of frontostriatal circuits and treatment response. OBJECTIVE/HYPOTHESIS We investigated whether baseline functional connectivity of distinct frontostriatal circuits predicted response to TMS. METHODS Resting-state fMRI (rsfMRI) was acquired in 27 currently depressed subjects with treatment resistant depression and 27 healthy controls. Depressed subjects were treated with 5 weeks of daily TMS over the left dorsolateral prefrontal cortex (DLPFC). The functional connectivity between limbic, executive, rostral motor, and caudal motor regions of frontal cortex and their corresponding striatal targets were determined at baseline using an existing atlas based on diffusion tensor imaging. TMS treatment response was measured by percent reduction in the 24-item Hamilton Depression Rating Scale (HAMD24). In an exploratory analysis, correlations were determined between baseline functional connectivity and TMS treatment response. RESULTS Seven cortical clusters belonging to the executive and rostral motor frontostriatal projections had reduced functional connectivity in depression compared to healthy controls. No frontostriatal projections showed increased functional connectivity in depression (voxel-wise p < 0.01, family-wise α < 0.01). Only baseline functional connectivity between the left DLPFC and the striatum predicted TMS response. Higher baseline functional connectivity correlated with greater reductions in HAMD24 (Pearson's R = 0.58, p = 0.002). CONCLUSION(S) In an exploratory analysis, higher functional connectivity between the left DLPFC and striatum predicted better treatment response. Our findings suggest that the antidepressant mechanism of action of TMS may require connectivity from cortex proximal to the stimulation site to the striatum.
Collapse
Affiliation(s)
- Michael Avissar
- Division of Experimental Therapeutics, New York State Psychiatric Institute/Columbia University Medical Center, 1051 Riverside Drive, New York, NY 10032, USA
| | - Fon Powell
- Department of Radiology, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA
| | - Irena Ilieva
- Department of Psychiatry, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA; Institute of Geriatric Psychiatry, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA
| | - Matteo Respino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy
| | - Faith M Gunning
- Department of Psychiatry, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA; Institute of Geriatric Psychiatry, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA
| | - Conor Liston
- Department of Psychiatry, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA; Sackler Institute for Developmental Psychobiology, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA
| | - Marc J Dubin
- Department of Psychiatry, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA; Feil Family Brain and Mind Research Institute, Weill Cornell Medical College-New York Presbyterian Hospital, 525 East 68th Street, New York, NY 10065, USA.
| |
Collapse
|
16
|
Schnyer DM, Clasen PC, Gonzalez C, Beevers CG. Evaluating the diagnostic utility of applying a machine learning algorithm to diffusion tensor MRI measures in individuals with major depressive disorder. Psychiatry Res Neuroimaging 2017; 264:1-9. [PMID: 28388468 PMCID: PMC5486995 DOI: 10.1016/j.pscychresns.2017.03.003] [Citation(s) in RCA: 45] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2016] [Revised: 11/02/2016] [Accepted: 03/08/2017] [Indexed: 02/07/2023]
Abstract
Using MRI to diagnose mental disorders has been a long-term goal. Despite this, the vast majority of prior neuroimaging work has been descriptive rather than predictive. The current study applies support vector machine (SVM) learning to MRI measures of brain white matter to classify adults with Major Depressive Disorder (MDD) and healthy controls. In a precisely matched group of individuals with MDD (n =25) and healthy controls (n =25), SVM learning accurately (74%) classified patients and controls across a brain map of white matter fractional anisotropy values (FA). The study revealed three main findings: 1) SVM applied to DTI derived FA maps can accurately classify MDD vs. healthy controls; 2) prediction is strongest when only right hemisphere white matter is examined; and 3) removing FA values from a region identified by univariate contrast as significantly different between MDD and healthy controls does not change the SVM accuracy. These results indicate that SVM learning applied to neuroimaging data can classify the presence versus absence of MDD and that predictive information is distributed across brain networks rather than being highly localized. Finally, MDD group differences revealed through typical univariate contrasts do not necessarily reveal patterns that provide accurate predictive information.
Collapse
Affiliation(s)
- David M Schnyer
- Department of Psychology, University of Texas at Austin, Austin, TX, USA.
| | - Peter C Clasen
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Christopher Gonzalez
- Department of Psychology, University of California, San Diego, San Diego, CA, USA
| | | |
Collapse
|
17
|
Sacchet MD, Camacho MC, Livermore EE, Thomas EA, Gotlib IH. Accelerated aging of the putamen in patients with major depressive disorder. J Psychiatry Neurosci 2017; 42:164-171. [PMID: 27749245 PMCID: PMC5403661 DOI: 10.1503/jpn.160010] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND Growing evidence indicates that major depressive disorder (MDD) is characterized by accelerated biological aging, including greater age-related changes in physiological functioning. The disorder is also associated with abnormal neural reward circuitry, particularly in the basal ganglia (BG). Here we assessed age-related changes in BG volume in both patients with MDD and healthy control participants. METHODS We obtained whole-brain T1-weighted images from patients with MDD and healthy controls. We estimated grey matter volumes of the BG, including the nucleus accumbens, caudate, pallidum and putamen. Volumes were assessed using multivariate analysis of covariance (MANCOVA) with age as a covariate, followed by appropriate post hoc tests. RESULTS We included 232 individuals (116 patients with MDD) in our analysis. The MANCOVA yielded a significant group × age interaction (p = 0.043). Analyses for each region yielded a significant group × age interaction in the putamen (univariate test, p = 0.005; permutation test, p = 0.004); this effect was not significant in the other regions. The negative association between age and putamen volume was twice as large in the MDD than in the control group (-35.2 v. -16.7 mm3/yr), indicating greater age-related volumetric decreases in the putamen in individuals with MDD than in controls. LIMITATIONS These findings are cross-sectional; future studies should assess the longitudinal impact of accelerated aging on anhedonia and neural indices of reward processing. CONCLUSION Our results indicate that putamen aging is accelerated in patients with MDD. Thus, the putamen may uniquely contribute to the adverse long-term effects of depressive psychopathology and may be a useful target for the treatment of MDD across the lifespan.
Collapse
Affiliation(s)
- Matthew D. Sacchet
- Correspondence to: M.D. Sacchet, Department of Psychology, Jordan Hall, Building 01-420, Stanford University, 450 Serra Mall, Stanford, CA, USA;
| | | | | | | | | |
Collapse
|
18
|
Amplitude of low-frequency fluctuations in first-episode, drug-naïve depressive patients: A 5-year retrospective study. PLoS One 2017; 12:e0174564. [PMID: 28384269 PMCID: PMC5383053 DOI: 10.1371/journal.pone.0174564] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 03/12/2017] [Indexed: 11/19/2022] Open
Abstract
Despite different treatments and courses of illness, depressive symptoms appear similar in bipolar disorder (BD) and major depressive disorder (MDD), causing BD with an onset of depressive episode being frequently misdiagnosed as MDD, and leading to inappropriate treatment and poor clinical outcomes. Therefore, there is an urgent need to explore underlying neural basis to distinguish BD from MDD. The medical records of 80 first-episode, drug-naïve depressive patients with an initial diagnosis of MDD and illness duration of at least 5 years were reviewed retrospectively for this study. Fourteen bipolar depressed patients with a diagnosis conversion from MDD to BD, 14 patients with diagnosis of MDD, and 14 healthy subjects demographically matched with the BD group, were selected to participate in the study. Firstly, we examined whether there were differences among the three groups in whole brain fALFF during resting state. Secondly, clusters showing group differences in fALFF in any two groups were chosen as regions of interest (ROI) and then correlation between clinical features and fALFF values of ROIs were calculated. The BD group showed increased fALFF in bilateral putamen relative to both the MDD group and controls, while the MDD group exhibited decreased fALFF in left superior frontal gyrus (SFG) relative to both the BD group and controls (p < 0.05, corrected). Positive correlations between abnormality in the putamen and symptom severity were observed (significant for the MDD group, p = 0.043; marginally significant for the BD group, p = 0.060/0.076). These results implicate that abnormalities of key regions in the striatum and prefrontal areas may be trait markers for BD and MDD.
Collapse
|
19
|
Li J, Gao L, Xie K, Zhan J, Luo X, Wang H, Zhang H, Zhao J, Zhou F, Zeng X, He L, He Y, Gong H. Detection of Functional Homotopy in Traumatic Axonal Injury. Eur Radiol 2016; 27:325-335. [PMID: 27048533 DOI: 10.1007/s00330-016-4302-x] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Revised: 02/01/2016] [Accepted: 02/23/2016] [Indexed: 12/01/2022]
Abstract
OBJECTIVE This study aimed to explore the interhemispheric intrinsic connectivity in traumatic axonal injury (TAI) patients. METHODS Twenty-one patients with TAI (14 males, seven females; mean age, 38.71 ± 15.25 years) and 22 well-matched healthy controls (16 males, six females; mean age, 38.50 ± 13.82 years) were recruited, and from them we obtained resting-state fMRI data. Interhemispheric coordination was examined using voxel-mirrored homotopic connectivity (VMHC) and seed-based functional connectivity analysis was performed. RESULTS We observed significantly decreased VMHC in a number of regions in TAI patients, including the prefrontal, temporal, occipital, parietal, and posterior cingulate cortices, thalami and cerebellar posterior lobes. Subsequent seed-based functional connectivity analysis revealed widely disrupted functional connectivity between the regions of local homotopic connectivity deficits and other areas of the brain, particularly the areas subserving the default, salience, integrative, and executive systems. The lower VMHC of the inferior frontal gyrus and basal ganglia, thalamus, and caudate were significant correlated with the Beck Depression Inventory score, Clinical Dementia Rating score, and Mini-Mental State Examination score, respectively. CONCLUSION TAI is associated with regionally decreased interhemispheric interactions and extensively disrupted seed-based functional connectivity, generating further evidence of diffuse disconnection being associated with clinical symptoms in TAI patients. KEY POINTS • Traumatic axonal injury is associated with decreased interhemispheric connectivity • Traumatic axonal injury couples with widely disrupted functional connectivity • These alterations support the default, salience, integrative, and executive functions.
Collapse
Affiliation(s)
- Jian Li
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Lei Gao
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China.
| | - Kai Xie
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Jie Zhan
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Xiaoping Luo
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Huifang Wang
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Huifang Zhang
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Jing Zhao
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Xianjun Zeng
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Laichang He
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Yulin He
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| | - Honghan Gong
- Department of Radiology, The First Affiliated Hospital, Nanchang University, 17 Yongwai Zheng Street, Donghu District, Nanchang City, Jiangxi, 330006, China
| |
Collapse
|
20
|
Mörkl S, Blesl C, Jahanshahi M, Painold A, Holl A. Impaired probabilistic classification learning with feedback in patients with major depression. Neurobiol Learn Mem 2016; 127:48-55. [DOI: 10.1016/j.nlm.2015.12.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2015] [Revised: 11/30/2015] [Accepted: 12/06/2015] [Indexed: 10/22/2022]
|
21
|
Fonseka TM, Wen XY, Foster JA, Kennedy SH. Zebrafish models of major depressive disorders. J Neurosci Res 2015; 94:3-14. [PMID: 26452974 DOI: 10.1002/jnr.23639] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2015] [Revised: 07/23/2015] [Accepted: 08/11/2015] [Indexed: 11/10/2022]
Abstract
The zebrafish (Danio rerio) has emerged as a model species for translational research in various neuroscience areas, including depressive disorders. Because of their physiological (neuroanatomical, neuroendocrine, neurochemical) and genetic homology to mammals, robust phenotypes, and value in high-throughput genetic and chemical genetic screens, zebrafish are ideal for developing valid experimental models of major depression and discovering novel therapeutics. Behavioral testing approaches, such as approach-avoidance, cognitive, and social paradigms, are available in zebrafish and have utility in identifying depression-like indices in zebrafish in response to physiological, genetic, environmental, and/or psychopharmacological alterations. In addition, the high sensitivity of zebrafish to commonly prescribed psychotropic drugs supports the use of this model as an invaluable tool for pharmacological research and drug screening. This Review outlines the benefits of using the zebrafish model for depression studies and summarizes the current research in this field.
Collapse
Affiliation(s)
- Trehani M Fonseka
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Xiao-Yan Wen
- Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Department of Medicine, Physiology, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| | - Jane A Foster
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, Ontario, Canada
| | - Sidney H Kennedy
- Department of Psychiatry, University Health Network, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.,Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
22
|
Ding S, Li L, Zhou FM. Robust presynaptic serotonin 5-HT(1B) receptor inhibition of the striatonigral output and its sensitization by chronic fluoxetine treatment. J Neurophysiol 2015; 113:3397-409. [PMID: 25787955 DOI: 10.1152/jn.00831.2014] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2014] [Accepted: 03/12/2015] [Indexed: 11/22/2022] Open
Abstract
The striatonigral projection is a striatal output pathway critical to motor control, cognition, and emotion regulation. Its axon terminals in the substantia nigra pars reticulata (SNr) express a high level of serotonin (5-HT) type 1B receptors (5-HT(1B)Rs), whereas the SNr also receives an intense 5-HT innervation that expresses 5-HT transporters, providing an anatomic substrate for 5-HT and selective 5-HT reuptake inhibitor (SSRI)-based antidepressant treatment to regulate the striatonigral output. In this article we show that 5-HT, by activating presynaptic 5-HT(1B)Rs on the striatonigral axon terminals, potently inhibited the striatonigral GABA output, as reflected in the reduction of the striatonigral inhibitory postsynaptic currents in SNr GABA neurons. Functionally, 5-HT(1B)R agonism reduced the striatonigral GABA output-induced pause of the spontaneous high-frequency firing in SNr GABA neurons. Equally important, chronic SSRI treatment with fluoxetine enhanced this presynaptic 5-HT(1B)R-mediated pause reduction in SNr GABA neurons. Taken together, these results indicate that activation of the 5-HT(1B)Rs on the striatonigral axon terminals can limit the motor-promoting GABA output. Furthermore, in contrast to the desensitization of 5-HT1 autoreceptors, chronic SSRI-based antidepressant treatment sensitizes this presynaptic 5-HT(1B)R-mediated effect in the SNr, a novel cellular mechanism that alters the striatonigral information transfer, potentially contributing to the behavioral effects of chronic SSRI treatment.
Collapse
Affiliation(s)
- Shengyuan Ding
- Department of Pharmacology, University of Tennessee College of Medicine, Memphis, Tennessee
| | - Li Li
- Department of Pharmacology, University of Tennessee College of Medicine, Memphis, Tennessee
| | - Fu-Ming Zhou
- Department of Pharmacology, University of Tennessee College of Medicine, Memphis, Tennessee
| |
Collapse
|
23
|
Functional and Anatomical Brain Abnormalities and Effects of Antidepressant in Major Depressive Disorder. J Comput Assist Tomogr 2015; 39:766-73. [DOI: 10.1097/rct.0000000000000264] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
|
24
|
The network property of the thalamus in the default mode network is correlated with trait mindfulness. Neuroscience 2014; 278:291-301. [DOI: 10.1016/j.neuroscience.2014.08.006] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2014] [Revised: 08/07/2014] [Accepted: 08/07/2014] [Indexed: 01/02/2023]
|
25
|
Marchand WR, Lee JN, Johnson S, Gale P, Thatcher J. Abnormal functional connectivity of the medial cortex in euthymic bipolar II disorder. Prog Neuropsychopharmacol Biol Psychiatry 2014; 51:28-33. [PMID: 24440372 DOI: 10.1016/j.pnpbp.2014.01.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2013] [Revised: 12/21/2013] [Accepted: 01/07/2014] [Indexed: 12/20/2022]
Abstract
This project utilized functional MRI (fMRI) and a motor activation paradigm to investigate neural circuitry in euthymic bipolar II disorder. We hypothesized that circuitry involving the cortical midline structures (CMS) would demonstrate abnormal functional connectivity. Nineteen subjects with recurrent bipolar disorder and 18 controls were studied using fMRI and a motor activation paradigm. We used functional connectivity analyses to identify circuits with aberrant connectivity. We found increased functional connectivity among bipolar subjects compared to healthy controls in two CMS circuits. One circuit included the medial aspect of the left superior frontal gyrus and the dorsolateral region of the left superior frontal gyrus. The other included the medial aspect of the right superior frontal gyrus, the dorsolateral region of the left superior frontal gyrus and the right medial frontal gyrus and surrounding region. Our results indicate that CMS circuit dysfunction persists in the euthymic state and thus may represent trait pathology. Future studies should address whether these circuits contribute to relapse of illness. Our results also suggest the possibility that aberrations of superior frontal circuitry may impact default mode network and cognitive processes.
Collapse
Affiliation(s)
- William R Marchand
- George E. Wahlen Veterans Affairs Medical Center, 500 Foothill Drive, Salt Lake City, UT 84148, USA; University of Utah, 201 Presidents Circle, Salt Lake City, UT 84112, USA.
| | - James N Lee
- George E. Wahlen Veterans Affairs Medical Center, 500 Foothill Drive, Salt Lake City, UT 84148, USA; University of Utah, 201 Presidents Circle, Salt Lake City, UT 84112, USA
| | - Susanna Johnson
- George E. Wahlen Veterans Affairs Medical Center, 500 Foothill Drive, Salt Lake City, UT 84148, USA
| | - Phillip Gale
- George E. Wahlen Veterans Affairs Medical Center, 500 Foothill Drive, Salt Lake City, UT 84148, USA; University of Utah, 201 Presidents Circle, Salt Lake City, UT 84112, USA
| | - John Thatcher
- George E. Wahlen Veterans Affairs Medical Center, 500 Foothill Drive, Salt Lake City, UT 84148, USA; University of Utah, 201 Presidents Circle, Salt Lake City, UT 84112, USA
| |
Collapse
|
26
|
Zhao Q, Li Z, Huang J, Yan C, Dazzan P, Pantelis C, Cheung EFC, Lui SSY, Chan RCK. Neurological soft signs are not "soft" in brain structure and functional networks: evidence from ALE meta-analysis. Schizophr Bull 2014; 40:626-41. [PMID: 23671197 PMCID: PMC3984512 DOI: 10.1093/schbul/sbt063] [Citation(s) in RCA: 106] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND Neurological soft signs (NSS) are associated with schizophrenia and related psychotic disorders. NSS have been conventionally considered as clinical neurological signs without localized brain regions. However, recent brain imaging studies suggest that NSS are partly localizable and may be associated with deficits in specific brain areas. METHOD We conducted an activation likelihood estimation meta-analysis to quantitatively review structural and functional imaging studies that evaluated the brain correlates of NSS in patients with schizophrenia and other psychotic disorders. Six structural magnetic resonance imaging (sMRI) and 15 functional magnetic resonance imaging (fMRI) studies were included. RESULTS The results from meta-analysis of the sMRI studies indicated that NSS were associated with atrophy of the precentral gyrus, the cerebellum, the inferior frontal gyrus, and the thalamus. The results from meta-analysis of the fMRI studies demonstrated that the NSS-related task was significantly associated with altered brain activation in the inferior frontal gyrus, bilateral putamen, the cerebellum, and the superior temporal gyrus. CONCLUSIONS Our findings from both sMRI and fMRI meta-analyses further support the conceptualization of NSS as a manifestation of the "cerebello-thalamo-prefrontal" brain network model of schizophrenia and related psychotic disorders.
Collapse
Affiliation(s)
- Qing Zhao
- *To whom correspondence should be addressed; 4A Datun Road, Beijing 100101, China; tel/fax: +86(0)10 64836274, e-mail:
| | - Zhi Li
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China;,Key Laboratory of Mental Health, University of Chinese Academy of Sciences, Beijing, China
| | - Jia Huang
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Chao Yan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China;,Key Laboratory of Mental Health, University of Chinese Academy of Sciences, Beijing, China
| | - Paola Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, London, UK
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Melbourne, Australia
| | - Eric F. C. Cheung
- General Adult Psychiatry, Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Simon S. Y. Lui
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China;,Key Laboratory of Mental Health, University of Chinese Academy of Sciences, Beijing, China;,General Adult Psychiatry, Castle Peak Hospital, Hong Kong Special Administrative Region, China
| | - Raymond C. K. Chan
- Neuropsychology and Applied Cognitive Neuroscience Laboratory, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China;,*To whom correspondence should be addressed; 4A Datun Road, Beijing 100101, China; tel/fax: +86(0)10 64836274, e-mail:
| |
Collapse
|
27
|
Deficient neuron-microglia signaling results in impaired functional brain connectivity and social behavior. Nat Neurosci 2014; 17:400-6. [DOI: 10.1038/nn.3641] [Citation(s) in RCA: 779] [Impact Index Per Article: 77.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2013] [Accepted: 01/02/2014] [Indexed: 02/07/2023]
|
28
|
Kong L, Wu F, Tang Y, Ren L, Kong D, Liu Y, Xu K, Wang F. Frontal-subcortical volumetric deficits in single episode, medication-naïve depressed patients and the effects of 8 weeks fluoxetine treatment: a VBM-DARTEL study. PLoS One 2014; 9:e79055. [PMID: 24427263 PMCID: PMC3888377 DOI: 10.1371/journal.pone.0079055] [Citation(s) in RCA: 64] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2013] [Accepted: 09/25/2013] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Convergent studies suggest that morphological abnormalities of frontal-subcortical circuits which involved with emotional and cognitive processing may contribute to the pathophysiology of major depressive disorder (MDD). Antidepressant treatment which has been reported to reverse the functional abnormalities of frontal-subcortical circuits in MDD may have treating effects to related brain morphological abnormalities. In this study, we used voxel-based morphometry method to investigate whole brain structural abnormalities in single episode, medication-naïve MDD patients. Furthermore, we investigated the effects of an 8 weeks pharmacotherapy with fluoxetine. METHODS 28 single episode, medication-naïve MDD participants and 28 healthy controls (HC) acquired the baseline high-resolution structural magnetic resonance imaging (sMRI) scan. 24 MDD participants acquired a follow-up sMRI scan after 8 weeks antidepressant treatment. Gray matter volumetric (GMV) difference between groups was examined. RESULTS Medication-naïve MDD had significantly decreased GMV in the right dorsolateral prefrontal cortex and left middle frontal gyrus as well as increased GMV in the left thalamus and right insula compared to HC (P<0.05, corrected). Moreover, treated MDD had significantly increased GMV in the left middle frontal gyrus and right orbitofrontal cortex compared to HC (P<0.05, corrected). No difference on GMV was detected between medication-naïve MDD group and treated MDD group. CONCLUSIONS This study of single episode, medication-naïve MDD subjects demonstrated structural abnormalities of frontal-subcortical circuitsin the early stage of MDD and the effects of 8 weeks successful antidepressant treatment, suggesting these abnormalities may play an important role in the neuropathophysiology of MDD at its onset.
Collapse
Affiliation(s)
- Lingtao Kong
- Department of Psychiatry, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China
| | - Feng Wu
- Department of Psychiatry, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China
| | - Ling Ren
- Department of Radiology, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China
| | - Dongyan Kong
- Department of Psychology, Quanzhou First Hospital, Quanzhou, Fujian, PR China
| | - Ying Liu
- Department of Psychiatry, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China
| | - Ke Xu
- Department of Radiology, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China
| | - Fei Wang
- Department of Radiology, The First Affiliated Hospital, China Medical University, Shenyang, Liaoning, PR China ; Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America
| |
Collapse
|
29
|
Liberg B, Klauser P, Harding IH, Adler M, Rahm C, Lundberg J, Masterman T, Wachtler C, Jonsson T, Kristoffersen-Wiberg M, Pantelis C, Wahlund B. Functional and structural alterations in the cingulate motor area relate to decreased fronto-striatal coupling in major depressive disorder with psychomotor disturbances. Front Psychiatry 2014; 5:176. [PMID: 25538633 PMCID: PMC4255491 DOI: 10.3389/fpsyt.2014.00176] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 11/21/2014] [Indexed: 01/14/2023] Open
Abstract
Psychomotor disturbances are a classic feature of major depressive disorders. These can manifest as lack of facial expressions and decreased speech production, reduced body posture and mobility, and slowed voluntary movement. The neural correlates of psychomotor disturbances in depression are poorly understood but it has been suggested that outputs from the cingulate motor area (CMA) to striatal motor regions, including the putamen, could be involved. We used functional and structural magnetic resonance imaging to conduct a region-of-interest analysis to test the hypotheses that neural activation patterns related to motor production and gray matter volumes in the CMA would be different between depressed subjects displaying psychomotor disturbances (n = 13) and matched healthy controls (n = 13). In addition, we conducted a psychophysiological interaction analysis to assess the functional coupling related to self-paced finger-tapping between the caudal CMA and the posterior putamen in patients compared to controls. We found a cluster of increased neural activation, adjacent to a cluster of decreased gray matter volume in the caudal CMA in patients compared to controls. The functional coupling between the left caudal CMA and the left putamen during finger-tapping task performance was additionally decreased in patients compared to controls. In addition, the strength of the functional coupling between the left caudal CMA and the left putamen was negatively correlated with the severity of psychomotor disturbances in the patient group. In conclusion, we found converging evidence for involvement of the caudal CMA and putamen in the generation of psychomotor disturbances in depression.
Collapse
Affiliation(s)
- Benny Liberg
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne , Melbourne, VIC , Australia ; Section of Psychiatry, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden ; Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Medical Imaging and Technology, Karolinska Institutet , Stockholm , Sweden
| | - Paul Klauser
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne , Melbourne, VIC , Australia ; Monash Clinical and Imaging Neuroscience, School of Psychology and Psychiatry, Monash University , Clayton, VIC , Australia
| | - Ian H Harding
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne , Melbourne, VIC , Australia ; School of Psychological Sciences, Monash University , Melbourne, VIC , Australia
| | - Mats Adler
- Section of Psychiatry, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden
| | - Christoffer Rahm
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne , Melbourne, VIC , Australia ; Department of Medicine Huddinge, Karolinska Institutet , Stockholm , Sweden
| | - Johan Lundberg
- Section of Psychiatry, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden
| | - Thomas Masterman
- Section of Psychiatry, Department of Clinical Neuroscience, Karolinska Institutet , Stockholm , Sweden
| | - Caroline Wachtler
- Primary Care Research Unit, Department of General Practice, The University of Melbourne , Melbourne, VIC , Australia ; Centre for Family Medicine (CeFAM), Department of Neurobiology, Care Sciences and Society, Karolinska Institutet , Stockholm , Sweden
| | - Tomas Jonsson
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Medical Imaging and Technology, Karolinska Institutet , Stockholm , Sweden ; Department of Medical Physics, Karolinska University Hospital Huddinge , Stockholm , Sweden
| | - Maria Kristoffersen-Wiberg
- Department of Clinical Science, Intervention and Technology (CLINTEC), Division of Medical Imaging and Technology, Karolinska Institutet , Stockholm , Sweden ; Department of Radiology, Karolinska University Hospital , Stockholm , Sweden
| | - Christos Pantelis
- Department of Psychiatry, Melbourne Neuropsychiatry Centre, The University of Melbourne , Melbourne, VIC , Australia
| | - Björn Wahlund
- Department of Energy and Engineering, Swedish University of Agricultural Sciences , Uppsala , Sweden
| |
Collapse
|
30
|
Striatal circuit function is associated with prior self-harm in remitted major depression. Neurosci Lett 2013; 557 Pt B:154-8. [DOI: 10.1016/j.neulet.2013.10.053] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2013] [Revised: 10/18/2013] [Accepted: 10/21/2013] [Indexed: 11/23/2022]
|
31
|
Ford KA, Théberge J, Neufeld RJ, Williamson PC, Osuch EA. Correlation of brain default mode network activation with bipolarity index in youth with mood disorders. J Affect Disord 2013; 150:1174-8. [PMID: 23806586 DOI: 10.1016/j.jad.2013.05.088] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2013] [Revised: 05/22/2013] [Accepted: 05/31/2013] [Indexed: 01/06/2023]
Abstract
BACKGROUND Major Depressive Disorder (MDD) and Bipolar Disorder (BD) can be difficult to differentiate, as both feature depressive episodes. Here we have utilized fMRI and a measure of trait bipolarity to examine resting-state functional connectivity of brain activation in the default mode network in youth with MDD and BD to isolate trait-specific patterns. METHODS We collected resting-state fMRI scans from thirty youth (15 MDD; 15 BD, Type 1). The Bipolarity Index (BI) was completed by each patient's treating psychiatrist. Independent components analysis was used to extract a default mode network component from each participant, and then multiple regression was used to identify correlations between bipolarity and network activation. RESULTS Activation in putamen/claustrum/insula correlated positively with BI; activation in the postcentral gyrus/posterior cingulate gyrus correlated negatively with BI. These correlations did not appear to be driven by movement in the scanner, state depression, gender or lithium use. LIMITATIONS There were group differences in state depression and sex that needed to be statistically covaried; differences in medication use existed between the groups; sample size was not large. CONCLUSIONS The identification of the putamen/claustrum in our positive correlation may indicate a potential trait marker for the psychomotor activation unique to bipolar mania. The negative correlation in the postcentral gyrus/posterior cingulate suggests that this functional inactivation is more specific to MDD and is consistent with previous research. Ultimately, this approach may help to develop techniques to minimize the current clinical dilemma by facilitating the classification between BD and MDD.
Collapse
Affiliation(s)
- Kristen A Ford
- University of Western Ontario, Schulich School of Medicine and Dentistry, Department of Psychiatry, London, Ontario, Canada
| | | | | | | | | |
Collapse
|
32
|
Gurvich C, Maller JJ, Lithgow B, Haghgooie S, Kulkarni J. Vestibular insights into cognition and psychiatry. Brain Res 2013; 1537:244-59. [PMID: 24012768 DOI: 10.1016/j.brainres.2013.08.058] [Citation(s) in RCA: 84] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2013] [Revised: 08/28/2013] [Accepted: 08/29/2013] [Indexed: 12/21/2022]
Abstract
The vestibular system has traditionally been thought of as a balance apparatus; however, accumulating research suggests an association between vestibular function and psychiatric and cognitive symptoms, even when balance is measurably unaffected. There are several brain regions that are implicated in both vestibular pathways and psychiatric disorders. The present review examines the anatomical associations between the vestibular system and various psychiatric disorders. Despite the lack of direct evidence for vestibular pathology in the key psychiatric disorders selected for this review, there is a substantial body of literature implicating the vestibular system in each of the selected psychiatric disorders. The second part of this review provides complimentary evidence showing the link between vestibular dysfunction and vestibular stimulation upon cognitive and psychiatric symptoms. In summary, emerging research suggests the vestibular system can be considered a potential window for exploring brain function beyond that of maintenance of balance, and into areas of cognitive, affective and psychiatric symptomology. Given the paucity of biological and diagnostic markers in psychiatry, novel avenues to explore brain function in psychiatric disorders are of particular interest and warrant further exploration.
Collapse
Affiliation(s)
- Caroline Gurvich
- Monash Alfred Psychiatry Research Centre, The Alfred Hospital and Monash University Central Clinical School, Melbourne, VIC 3004, Australia.
| | | | | | | | | |
Collapse
|
33
|
Marchand WR, Lee JN, Johnson S, Gale P, Thatcher J. Differences in functional connectivity in major depression versus bipolar II depression. J Affect Disord 2013; 150:527-32. [PMID: 23433856 DOI: 10.1016/j.jad.2013.01.028] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Accepted: 01/28/2013] [Indexed: 11/27/2022]
Abstract
BACKGROUND Objective methods of differentiating unipolar versus bipolar depression would enhance our ability to treat these disorders by providing more accurate diagnoses. One first step towards developing diagnostic methodology is determining whether brain function as assessed by functional MRI (fMRI) and functional connectivity analyses might differentiate the two disorders. METHODS Fourteen subjects with bipolar II depression and 26 subjects with recurrent unipolar depression were studied using fMRI and functional connectivity analyses. RESULTS The first key finding of this study was that functional connectivity of the right posterior cingulate cortex differentiates bipolar II and unipolar depression. Additionally, results suggest that functional connectivity of this region is associated with suicidal ideation and depression severity in unipolar but not bipolar II depression. LIMITATIONS The primary limitation is the relatively small sample size, particularly for the correlational analyses. CONCLUSIONS The functional connectivity of right posterior cingulate cortex may differential unipolar from bipolar II depression. Further, connectivity of this region may be associated with depression severity and suicide risk in unipolar but not bipolar depression.
Collapse
Affiliation(s)
- William R Marchand
- George E. Wahlen Veterans Affairs Medical Center, VHASLCHCS 116 OP, 500 Foothill Drive, Salt Lake City, UT 84148, USA.
| | | | | | | | | |
Collapse
|
34
|
Kaster MP, Budni J, Gazal M, Cunha MP, Santos ARS, Rodrigues ALS. The antidepressant-like effect of inosine in the FST is associated with both adenosine A1 and A 2A receptors. Purinergic Signal 2013; 9:481-6. [PMID: 23613131 PMCID: PMC3757140 DOI: 10.1007/s11302-013-9361-8] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2013] [Accepted: 03/27/2013] [Indexed: 12/31/2022] Open
Abstract
Inosine is an endogenous purine nucleoside, which is formed during the breakdown of adenosine. The adenosinergic system was already described as capable of modulating mood in preclinical models; we now explored the effects of inosine in two predictive models of depression: the forced swim test (FST) and tail suspension test (TST). Mice treated with inosine displayed higher anti-immobility in the FST (5 and 50 mg/kg, intraperitoneal route (i.p.)) and in the TST (1 and 10 mg/kg, i.p.) when compared to vehicle-treated groups. These antidepressant-like effects started 30 min and lasted for 2 h after intraperitoneal administration of inosine and were not accompanied by any changes in the ambulatory activity in the open-field test. Both adenosine A1 and A2A receptor antagonists prevented the antidepressant-like effect of inosine in the FST. In addition, the administration of an adenosine deaminase inhibitor (1 and 10 mg/kg, i.p.) also caused an antidepressant-like effect in the FST. These results indicate that inosine possesses an antidepressant-like effect in the FST and TST probably through the activation of adenosine A1 and A2A receptors, further reinforcing the potential of targeting the purinergic system to the management of mood disorders.
Collapse
Affiliation(s)
- Manuella P Kaster
- Department of Life and Health Sciences, Universidade Católica de Pelotas (UCPel), Pelotas, Rio Grande do Sul, Brazil.
| | | | | | | | | | | |
Collapse
|
35
|
Canbeyli R. Sensorimotor modulation of mood and depression: in search of an optimal mode of stimulation. Front Hum Neurosci 2013; 7:428. [PMID: 23908624 PMCID: PMC3727046 DOI: 10.3389/fnhum.2013.00428] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2013] [Accepted: 07/15/2013] [Indexed: 12/15/2022] Open
Abstract
Depression involves a dysfunction in an affective fronto-limbic circuitry including the prefrontal cortices, several limbic structures including the cingulate cortex, the amygdala, and the hippocampus as well as the basal ganglia. A major emphasis of research on the etiology and treatment of mood disorders has been to assess the impact of centrally generated (top-down) processes impacting the affective fronto-limbic circuitry. The present review shows that peripheral (bottom-up) unipolar stimulation via the visual and the auditory modalities as well as by physical exercise modulates mood and depressive symptoms in humans and animals and activates the same central affective neurocircuitry involved in depression. It is proposed that the amygdala serves as a gateway by articulating the mood regulatory sensorimotor stimulation with the central affective circuitry by emotionally labeling and mediating the storage of such emotional events in long-term memory. Since both amelioration and aggravation of mood is shown to be possible by unipolar stimulation, the review suggests that a psychophysical assessment of mood modulation by multimodal stimulation may uncover mood ameliorative synergisms and serve as adjunctive treatment for depression. Thus, the integrative review not only emphasizes the relevance of investigating the optimal levels of mood regulatory sensorimotor stimulation, but also provides a conceptual springboard for related future research.
Collapse
Affiliation(s)
- Resit Canbeyli
- Psychobiology Laboratory, Department of Psychology, Bogazici University , Istanbul , Turkey
| |
Collapse
|