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Hou X, Li Y, Wang P, Liu Y, He F, Yu A, Yang X. Altered glutamate concentration in the subcortical nuclei and its correlation with resting-state functional connectivity in unmedicated obsessive-compulsive disorder. J Psychiatr Res 2025; 186:379-386. [PMID: 40306005 DOI: 10.1016/j.jpsychires.2025.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Revised: 03/06/2025] [Accepted: 04/08/2025] [Indexed: 05/02/2025]
Abstract
The imbalance of glutamate (Glu) and gamma-aminobutyric acid (GABA) in the cortico-striatal-thalamo-cortical (CSTC) circuit is closely related to the onset of obsessive-compulsive disorder (OCD). The caudate nucleus and thalamus are the critical hubs of the CSTC circuit; however, few studies have explored the correlation between the neurochemical changes of subcortical nuclei and the resting-state functional connectivity (rsFC) within the CSTC circuit in OCD patients. In this study, 24 OCD patients and 17 healthy controls (HCs) underwent resting-state functional MRI (rs-fMRI) scans and proton magnetic resonance spectroscopy (1H-MRS) acquisition. The bilateral caudate nucleus and thalamus were used as the regions of interest (ROIs) for ROI-to-ROI rsFC analysis within CSTC circuit and Glu/GABA calculation to explore altered metabolite concentration in the subcortical nuclei and its correlation with rsFC. A significant increase of Glu in the left thalamus (Thalamus_L), an increase of Glu/GABA in the right thalamus (Thalamus_R), and a decrease of GABA in Thalamus_R were observed in the OCD patients compared to HCs. The rsFC showed widespread reductions among CSTC core nodes (caudate-thalamus-orbitofrontal cortex (OFC)). Furthermore, correlation analysis revealed a significant positive correlation between left caudate Glu levels and left caudate-right OFC rsFC. These findings provided the new evidence of glutamatergic modulation in this pathway's functional integration.
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Affiliation(s)
- Ximan Hou
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Yuepeng Li
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Pengchong Wang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Yue Liu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Fang He
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China
| | - Aihong Yu
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
| | - Xiangyun Yang
- Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, 100088, China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, 100069, China.
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Yang D, Kim M, Zhang Y, Wu G. Identifying multilayer network hub by graph representation learning. Med Image Anal 2025; 101:103463. [PMID: 39842327 DOI: 10.1016/j.media.2025.103463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/12/2024] [Accepted: 01/09/2025] [Indexed: 01/24/2025]
Abstract
The recent advances in neuroimaging technology allow us to understand how the human brain is wired in vivo and how functional activity is synchronized across multiple regions. Growing evidence shows that the complexity of the functional connectivity is far beyond the widely used mono-layer network. Indeed, the hierarchical processing information among distinct brain regions and across multiple channels requires using a more advanced multilayer model to understand the synchronization across the brain that underlies functional brain networks. However, the principled approach for characterizing network organization in the context of multilayer topologies is largely unexplored. In this work, we present a novel multi-variate hub identification method that takes both the intra- and inter-layer network topologies into account. Specifically, we put the spotlight on the multilayer graph embeddings that allow us to separate connector hubs (connecting across network modules) with their peripheral nodes. The removal of these hub nodes breaks down the entire multilayer brain network into a set of disconnected communities. We have evaluated our novel multilayer hub identification method in task-based and resting-state functional images. Complimenting ongoing findings using mono-layer brain networks, our multilayer network analysis provides a new understanding of brain network topology that links functional connectivities with brain states and disease progression.
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Affiliation(s)
- Defu Yang
- School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China; Department of Psychiatry, University of North Carolina at Chapel Hill, USA.
| | - Minjeong Kim
- Department of Computer Science, University of North Carolina at Greensboro, USA
| | - Yu Zhang
- Artificial Intelligence Research Institute, Zhejiang Lab, Hangzhou, China
| | - Guorong Wu
- Department of Psychiatry, University of North Carolina at Chapel Hill, USA; Department of Computer Science, University of North Carolina at Chapel Hill, USA
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3
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Mosharov EV, Rosenberg AM, Monzel AS, Osto CA, Stiles L, Rosoklija GB, Dwork AJ, Bindra S, Junker A, Zhang Y, Fujita M, Mariani MB, Bakalian M, Sulzer D, De Jager PL, Menon V, Shirihai OS, Mann JJ, Underwood MD, Boldrini M, Thiebaut de Schotten M, Picard M. A human brain map of mitochondrial respiratory capacity and diversity. Nature 2025:10.1038/s41586-025-08740-6. [PMID: 40140564 DOI: 10.1038/s41586-025-08740-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 02/04/2025] [Indexed: 03/28/2025]
Abstract
Mitochondrial oxidative phosphorylation (OXPHOS) powers brain activity1,2, and mitochondrial defects are linked to neurodegenerative and neuropsychiatric disorders3,4. To understand the basis of brain activity and behaviour, there is a need to define the molecular energetic landscape of the brain5-10. Here, to bridge the scale gap between cognitive neuroscience and cell biology, we developed a physical voxelization approach to partition a frozen human coronal hemisphere section into 703 voxels comparable to neuroimaging resolution (3 × 3 × 3 mm). In each cortical and subcortical brain voxel, we profiled mitochondrial phenotypes, including OXPHOS enzyme activities, mitochondrial DNA and volume density, and mitochondria-specific respiratory capacity. We show that the human brain contains diverse mitochondrial phenotypes driven by both topology and cell types. Compared with white matter, grey matter contains >50% more mitochondria. Moreover, the mitochondria in grey matter are biochemically optimized for energy transformation, particularly among recently evolved cortical brain regions. Scaling these data to the whole brain, we created a backwards linear regression model that integrates several neuroimaging modalities11 to generate a brain-wide map of mitochondrial distribution and specialization. This model predicted mitochondrial characteristics in an independent brain region of the same donor brain. This approach and the resulting MitoBrainMap of mitochondrial phenotypes provide a foundation for exploring the molecular energetic landscape that enables normal brain function. This resource also relates to neuroimaging data and defines the subcellular basis for regionalized brain processes relevant to neuropsychiatric and neurodegenerative disorders. All data are available at http://humanmitobrainmap.bcblab.com .
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Affiliation(s)
- Eugene V Mosharov
- Department of Psychiatry, Divisions of Molecular Therapeutics and Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Ayelet M Rosenberg
- Department of Psychiatry, Divisions of Molecular Therapeutics and Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Anna S Monzel
- Department of Psychiatry, Divisions of Molecular Therapeutics and Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Corey A Osto
- Department of Medicine, Endocrinology, and Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Linsey Stiles
- Department of Medicine, Endocrinology, and Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Gorazd B Rosoklija
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Division of Molecular Imaging and Neuropathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Andrew J Dwork
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Division of Molecular Imaging and Neuropathology, Columbia University Irving Medical Center, New York, NY, USA
- Department of Pathology and Cell Biology, Columbia University, New York, NY, USA
| | - Snehal Bindra
- Department of Psychiatry, Divisions of Molecular Therapeutics and Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Alex Junker
- Department of Psychiatry, Divisions of Molecular Therapeutics and Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
| | - Ya Zhang
- Center for Translational and Computational Neuroimmunology, Neuroimmunology Division, Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Masashi Fujita
- Center for Translational and Computational Neuroimmunology, Neuroimmunology Division, Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Madeline B Mariani
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Division of Molecular Imaging and Neuropathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Mihran Bakalian
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Division of Molecular Imaging and Neuropathology, Columbia University Irving Medical Center, New York, NY, USA
| | - David Sulzer
- Department of Psychiatry, Divisions of Molecular Therapeutics and Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
- Departments of Neurology and Pharmacology, Columbia University Irving Medical Center, New York, NY, USA
| | - Philip L De Jager
- Center for Translational and Computational Neuroimmunology, Neuroimmunology Division, Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Vilas Menon
- Center for Translational and Computational Neuroimmunology, Neuroimmunology Division, Department of Neurology and the Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Irving Medical Center, New York, NY, USA
| | - Orian S Shirihai
- Department of Medicine, Endocrinology, and Department of Molecular and Medical Pharmacology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - J John Mann
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Division of Molecular Imaging and Neuropathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Mark D Underwood
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Division of Molecular Imaging and Neuropathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Maura Boldrini
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychiatry, Division of Molecular Imaging and Neuropathology, Columbia University Irving Medical Center, New York, NY, USA
| | - Michel Thiebaut de Schotten
- Brain Connectivity and Behaviour Laboratory, Paris, France.
- Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives-UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France.
| | - Martin Picard
- Department of Psychiatry, Divisions of Molecular Therapeutics and Behavioral Medicine, Columbia University Irving Medical Center, New York, NY, USA.
- New York State Psychiatric Institute, New York, NY, USA.
- Department of Neurology, H. Houston Merritt Center, Columbia Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, NY, USA.
- Robert N. Butler Columbia Aging Center, Columbia University Mailman School of Public Health, New York, NY, USA.
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Giacovelli L, Piccoli E, Landi P, Vismara M, Benatti B, Dell'Osso B. Brexpiprazole augmentation in treatment-resistant obsessive-compulsive disorder: a preliminary retrospective observational study. Int Clin Psychopharmacol 2025:00004850-990000000-00161. [PMID: 39908230 DOI: 10.1097/yic.0000000000000583] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2025]
Abstract
Obsessive-compulsive disorder (OCD) is a chronic illness associated with significant functional impairment. Monotherapy with serotonin reuptake inhibitors (SRIs) often leads to only partial improvement of symptoms. In such cases, a common, well established, treatment approach for most patients is the augmentation of SRI therapy with antipsychotic medications. Brexpiprazole is an atypical antipsychotic agent that acts as a partial agonist of 5-HT1A, D2, and D3 receptors. Purpose of this retrospective observational study was to evaluate the effectiveness and tolerability of brexpiprazole as augmentation to SRIs in patients with treatment-resistant OCD. This preliminary study included a sample of 10 patients diagnosed with treatment-resistant OCD who underwent a 12-week trial of augmentative brexpiprazole, starting at a dose of 1 mg/day, with dosage adjustments based on clinical judgment. Treatment response was assessed through changes in the Yale-Brown Obsessive Compulsive Scale (Y-BOCS) total score from baseline to the end of the 12-week observation period. Adverse events were systematically recorded. Significant improvement was observed after the 12-week period: at the endpoint, seven patients (70%) achieved a ≥25% reduction in Y-BOCS total score compared to baseline, with five of them (50% of the overall sample) showing a more robust clinical response (≥35% reduction). Mild adverse effects, such as sedation and weight gain, were reported by two participants (20% of the overall sample). These findings suggest that brexpiprazole may offer a promising effectiveness and tolerability profile in the management of treatment-resistant OCD.
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Affiliation(s)
- Luca Giacovelli
- Department of Biomedical and Clinical Sciences Luigi Sacco, Department of Psychiatry, ASST Fatebenefratelli-Sacco, University of Milan, Milan, Italy
| | - Eleonora Piccoli
- Department of Biomedical and Clinical Sciences Luigi Sacco, Department of Psychiatry, ASST Fatebenefratelli-Sacco, University of Milan, Milan, Italy
| | - Paola Landi
- Department of Biomedical and Clinical Sciences Luigi Sacco, Department of Psychiatry, ASST Fatebenefratelli-Sacco, University of Milan, Milan, Italy
| | - Matteo Vismara
- Department of Biomedical and Clinical Sciences Luigi Sacco, Department of Psychiatry, ASST Fatebenefratelli-Sacco, University of Milan, Milan, Italy
| | - Beatrice Benatti
- Department of Biomedical and Clinical Sciences Luigi Sacco, Department of Psychiatry, ASST Fatebenefratelli-Sacco, University of Milan, Milan, Italy
| | - Bernardo Dell'Osso
- Department of Biomedical and Clinical Sciences Luigi Sacco, Department of Psychiatry, ASST Fatebenefratelli-Sacco, University of Milan, Milan, Italy
- Department of Psychiatry and Behavioral Sciences, Bipolar Disorders Clinic, Stanford Medical School, Stanford University, Stanford, California, USA
- CRC 'Aldo Ravelli' for Neurotechnology & Experimental Brain Therapeutics
- Centro per lo studio dei meccanismi molecolari alla base delle patologie neuro-psico-geriatriche, University of Milan, Milan, Italy
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5
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Lounici A, Iacob A, Hongler K, Mölling MA, Drechsler M, Hersberger L, Sethi S, Lang UE, Liwinski T. Ketogenic Diet as a Nutritional Metabolic Intervention for Obsessive-Compulsive Disorder: A Narrative Review. Nutrients 2024; 17:31. [PMID: 39796465 PMCID: PMC11723184 DOI: 10.3390/nu17010031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2024] [Revised: 12/17/2024] [Accepted: 12/20/2024] [Indexed: 01/13/2025] Open
Abstract
The substantial evidence supporting the ketogenic diet (KD) in epilepsy management has spurred research into its effects on other neurological and psychiatric conditions. Despite differences in characteristics, symptoms, and underlying mechanisms, these conditions share common pathways that the KD may influence. The KD reverses metabolic dysfunction. Moreover, it has been shown to support neuroprotection through mechanisms such as neuronal energy support, inflammation reduction, amelioration of oxidative stress, and reversing mitochondrial dysfunction. The adequate intake of dietary nutrients is essential for maintaining normal brain functions, and strong evidence supports the role of nutrition in the treatment and prevention of many psychiatric and neurological disorders. Obsessive-compulsive disorder (OCD) is a neuropsychiatric condition marked by persistent, distressing thoughts or impulses (obsessions) and repetitive behaviors performed in response to these obsessions (compulsions). Recent studies have increasingly examined the role of nutrition and metabolic disorders in OCD. This narrative review examines current evidence on the potential role of the KD in the treatment of OCD. We explore research on the KD's effects on psychiatric disorders to assess its potential relevance for OCD treatment. Additionally, we identify key gaps in the preclinical and clinical research that warrant further study in applying the KD as a metabolic therapy for OCD.
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Affiliation(s)
- Astrid Lounici
- Clinic for Adults, University Psychiatric Clinics Basel, University of Basel, 4031 Basel, Switzerland; (A.L.); (K.H.); (U.E.L.)
| | - Ana Iacob
- Pôle de Psychiatrie et Psychothérapie (PPP), Unité de Psychiatrie de Liaison, Hôpital du Valais, 1950 Sion, Switzerland;
| | - Katarzyna Hongler
- Clinic for Adults, University Psychiatric Clinics Basel, University of Basel, 4031 Basel, Switzerland; (A.L.); (K.H.); (U.E.L.)
| | | | - Maria Drechsler
- Stiftung für Ganzheitliche Medizin (SGM), Klinik SGM Langenthal, 4900 Langenthal, Switzerland; (M.D.); (L.H.)
| | - Luca Hersberger
- Stiftung für Ganzheitliche Medizin (SGM), Klinik SGM Langenthal, 4900 Langenthal, Switzerland; (M.D.); (L.H.)
| | - Shebani Sethi
- Metabolic Psychiatry, Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA 94305, USA;
| | - Undine E. Lang
- Clinic for Adults, University Psychiatric Clinics Basel, University of Basel, 4031 Basel, Switzerland; (A.L.); (K.H.); (U.E.L.)
| | - Timur Liwinski
- Clinic for Adults, University Psychiatric Clinics Basel, University of Basel, 4031 Basel, Switzerland; (A.L.); (K.H.); (U.E.L.)
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de Joode NT, van den Heuvel OA, Koster M, Clarke WT, van Balkom AJLM, Schrantee A, Vriend C. Glutamate dynamics and BOLD response during OCD symptom provocation in the lateral occipital cortex: A 7 Tesla fMRI-fMRS study. J Affect Disord 2024; 367:416-425. [PMID: 39233246 DOI: 10.1016/j.jad.2024.08.216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 08/19/2024] [Accepted: 08/31/2024] [Indexed: 09/06/2024]
Abstract
Obsessive-compulsive disorder (OCD) is linked with dysfunction in frontal-striatal, fronto-limbic, and visual brain regions. Research using proton magnetic resonance spectroscopy (1H-MRS) suggests that altered neurometabolite levels, like glutamate, may contribute to this dysfunction. However, static neurometabolite levels in OCD patients have shown inconsistent results, likely due to previous studies' limited focus on neurometabolite dynamics. We employ functional MRS (fMRS) and functional magnetic resonance imaging (fMRI) to explore these dynamics and brain activation during OCD symptom provocation. We utilized a combined 7-tesla fMRI-fMRS setup to examine task-related BOLD response and glutamate changes in the lateral occipital cortex (LOC) of 30 OCD participants and 34 matched controls during an OCD-specific symptom provocation task. The study examined main effects and between-group differences in brain activation and glutamate levels during the task. A whole sample task-effects analysis on data meeting predefined quality criteria showed significant glutamate increases (n = 41 (22 OCD, 19 controls), mean change: 3.2 %, z = 3.75, p < .001) and task activation (n = 54 (26 OCD, 28 controls), p < .001) in the LOC during OCD blocks compared to neutral blocks. However, no differences in task-induced glutamate dynamics or activation between groups were found, nor a correlation between glutamate levels and task activation. We were able to measure task-induced increases in glutamate and BOLD levels, emphasizing its feasibility for OCD research. The absence of group differences highlights the need for further exploration to discern to what extent neurometabolite dynamics differ between OCD patients and controls. Once established, future studies can use pre-post intervention fMRS-fMRI to probe the effects of therapies modulating glutamate pathways in OCD.
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Affiliation(s)
- Niels T de Joode
- Amsterdam UMC, Vrije Universiteit Amsterdam, Dept. Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam Neuroscience, Compulsivity Impulsivity Attention Program, Amsterdam, Netherlands.
| | - Odile A van den Heuvel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Dept. Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Dept. Psychiatry, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam Neuroscience, Compulsivity Impulsivity Attention Program, Amsterdam, Netherlands
| | - Merel Koster
- Amsterdam UMC, Vrije Universiteit Amsterdam, Dept. Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam Neuroscience, Compulsivity Impulsivity Attention Program, Amsterdam, Netherlands
| | - William T Clarke
- Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Anton J L M van Balkom
- Amsterdam UMC, Vrije Universiteit Amsterdam, Dept. Psychiatry, De Boelelaan 1117, Amsterdam, Netherlands; GGZ inGeest Specialised Mental Health Care, Amsterdam, Netherlands
| | - Anouk Schrantee
- Amsterdam Neuroscience, Compulsivity Impulsivity Attention Program, Amsterdam, Netherlands; Amsterdam UMC, University of Amsterdam, Radiology and Nuclear Medicine, Meibergdreef 9, Amsterdam, Netherlands
| | - Chris Vriend
- Amsterdam UMC, Vrije Universiteit Amsterdam, Dept. Anatomy and Neurosciences, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Dept. Psychiatry, De Boelelaan 1117, Amsterdam, Netherlands; Amsterdam Neuroscience, Compulsivity Impulsivity Attention Program, Amsterdam, Netherlands.
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7
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Wilson C, Gattuso JJ, Kuznetsova M, Li S, Connell S, Choo JM, Rogers GB, Gubert C, Hannan AJ, Renoir T. Experience-dependent grooming microstructure alterations and gastrointestinal dysfunction in the SAPAP3 knockout mouse model of compulsive behaviour. J Affect Disord 2024; 363:520-531. [PMID: 39043310 DOI: 10.1016/j.jad.2024.07.143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 07/15/2024] [Accepted: 07/17/2024] [Indexed: 07/25/2024]
Abstract
BACKGROUND Compulsive- and anxiety-like behaviour can be efficiently modelled in SAPAP3 knockout (KO) mice, a preclinical model of relevance to obsessive-compulsive disorder (OCD). Although there is emerging evidence in the clinical literature of gastrointestinal dysfunction in OCD, no previous studies have investigated gut function in preclinical models of relevance to OCD. Similarly, the effects of voluntary exercise (EX) or environmental enrichment (EE) have not yet been explored in this context. METHOD We comprehensively phenotyped the SAPAP3 KO mouse model, including the assessment of grooming microstructure, anxiety- and depressive-like behaviour, and gastrointestinal function. Mice were exposed to either standard housing (SH), exercise (EX, provided by giving mice access to running wheels), or environmental enrichment (EE) for 4 weeks to investigate the effects of enriched housing conditions in this animal model relevant to OCD. FINDINGS Our study is the first to assess grooming microstructure, perseverative locomotor activity, and gastrointestinal function in SAPAP3 KO mice. We are also the first to report a sexually dimorphic effect of grooming in young-adult SAPAP3 KO mice; along with changes to grooming patterning and indicators of gut dysfunction, which occurred in the absence of gut dysbiosis in this model. Overall, we found no beneficial effects of voluntary exercise or environmental enrichment interventions in this mouse model; and unexpectedly, we revealed a deleterious effect of wheel-running exercise on grooming behaviour. We suspect that the detrimental effects of experimental housing in our study may be indicative of off-target effects of stress-a conclusion that warrants further investigation into the effects of chronic stress in this preclinical model of compulsive behaviour.
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Affiliation(s)
- Carey Wilson
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - James J Gattuso
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Maria Kuznetsova
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Shanshan Li
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Sasha Connell
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Jocelyn M Choo
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, SA 5001, Australia; Infection and Immunity, Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia
| | - Geraint B Rogers
- Microbiome and Host Health, South Australian Health and Medical Research Institute, Adelaide, SA 5001, Australia; Infection and Immunity, Flinders Health and Medical Research Institute, College of Medicine and Public Health, Flinders University, Bedford Park, SA 5042, Australia
| | - Carolina Gubert
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Anthony J Hannan
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Thibault Renoir
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia.
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8
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Subaşı Turgut F, Bulut M, Hattapoğlu S, Güneş M, Cemal Kaya M, Ekici F, Guli Çetinçakmak M, Kaplan İ, Atmaca M. The relationship between oxidative stress markers and 1H-Magnetic resonance spectroscopy findings in obsessive compulsive disorder. Brain Res 2024; 1833:148852. [PMID: 38494099 DOI: 10.1016/j.brainres.2024.148852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/16/2024] [Accepted: 03/05/2024] [Indexed: 03/19/2024]
Abstract
INTRODUCTION The purpose of this study was to examine N-acetyl aspartate (NAA)/creatine (Cr) and glutamate, glutamine, and gamma-aminobutyric acid complex (Glx)/Cr levels in patients with obsessive compulsive disorder (OCD) and healthy controls' orbitofrontal cortex (OFC) and caudate nucleus (CN) by proton magnetic resonance spectroscopy (1H-MRS) method and to investigate their relationship with oxidative stress markers glutathione peroxidase (GPx) and superoxide dismutase (SOD). METHODS This study included patients with OCD (n = 25) and healthy controls (n = 25) ranging in age from 18 to 65. We used the ELISA method to evaluate serum SOD and GPx levels. Levels of NAA/Cr and Glx/Cr in the orbitofrontal cortex and caudate nucleus were measured using the 1H-MRS method. RESULTS Our study did not detect statistically significant differences in the orbitofrontal cortex Glx/Cr and NAA/Cr levels between the OCD patients and the control group. OCD patients exhibited a decrease in NAA/Cr levels, consistent with impaired neuronal integration, and an increase in Glx/Cr levels, consistent with hyperactivation, in the caudate nucleus compared to the control group. We observed a negative correlation between NAA/Cr levels in the caudate nucleus and the levels of SOD and GPx. CONCLUSIONS Our study is the first to assess CN and OFC together in OCD patients using 3 T MR, investigating the relationship between neurometabolite concentrations and oxidative stress parameters. The negative correlation we observed between NAA/Cr levels and SOD and GPx in the caudate nucleus suggests that increased oxidative stress in this brain region in OCD patients may contribute to impaired neuronal integration and functionality.
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Affiliation(s)
- Fatma Subaşı Turgut
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | - Mahmut Bulut
- Department of Psychiatry, Faculty of Medicine, Dicle University, Diyarbakır, Turkey.
| | - Salih Hattapoğlu
- Department of Radiology, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | - Mehmet Güneş
- Department of Psychiatry, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | - Mehmet Cemal Kaya
- Department of Psychiatry, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | - Faysal Ekici
- Department of Radiology, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | | | - İbrahim Kaplan
- Department of Biochemistry, Faculty of Medicine, Dicle University, Diyarbakır, Turkey
| | - Murad Atmaca
- Department of Psychiatry, Faculty of Medicine, Fırat University, Elazığ, Turkey
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Xu C, Hou G, He T, Ruan Z, Guo X, Chen J, Wei Z, Seger CA, Chen Q, Peng Z. Local structural and functional MRI markers of compulsive behaviors and obsessive-compulsive disorder diagnosis within striatum-based circuits. Psychol Med 2024; 54:710-720. [PMID: 37642202 DOI: 10.1017/s0033291723002386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a classic disorder on the compulsivity spectrum, with diverse comorbidities. In the current study, we sought to understand OCD from a dimensional perspective by identifying multimodal neuroimaging patterns correlated with multiple phenotypic characteristics within the striatum-based circuits known to be affected by OCD. METHODS Neuroimaging measurements of local functional and structural features and clinical information were collected from 110 subjects, including 51 patients with OCD and 59 healthy control subjects. Linked independent component analysis (LICA) and correlation analysis were applied to identify associations between local neuroimaging patterns across modalities (including gray matter volume, white matter integrity, and spontaneous functional activity) and clinical factors. RESULTS LICA identified eight multimodal neuroimaging patterns related to phenotypic variations, including three related to symptoms and diagnosis. One imaging pattern (IC9) that included both the amplitude of low-frequency fluctuation measure of spontaneous functional activity and white matter integrity measures correlated negatively with OCD diagnosis and diagnostic scales. Two imaging patterns (IC10 and IC27) correlated with compulsion symptoms: IC10 included primarily anatomical measures and IC27 included primarily functional measures. In addition, we identified imaging patterns associated with age, gender, and emotional expression across subjects. CONCLUSIONS We established that data fusion techniques can identify local multimodal neuroimaging patterns associated with OCD phenotypes. The results inform our understanding of the neurobiological underpinnings of compulsive behaviors and OCD diagnosis.
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Affiliation(s)
- Chuanyong Xu
- Department of Child Psychiatry and Rehabilitation, Institute of Maternity and Child Medical Research, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Gangqiang Hou
- Department of Radiology, Shenzhen Kangning Hospital, Shenzhen, China
| | - Tingxin He
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Zhongqiang Ruan
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
| | - Xinrong Guo
- Department of Child Psychiatry and Rehabilitation, Institute of Maternity and Child Medical Research, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Jierong Chen
- Department of Child Psychiatry and Rehabilitation, Institute of Maternity and Child Medical Research, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Zhen Wei
- Department of Child Psychiatry and Rehabilitation, Institute of Maternity and Child Medical Research, Affiliated Shenzhen Maternity & Child Healthcare Hospital, Southern Medical University, Shenzhen, China
| | - Carol A Seger
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
- Department of Psychology, Colorado State University, Fort Collins, Colorado, USA
| | - Qi Chen
- School of Psychology, Shenzhen University, Shenzhen, China
| | - Ziwen Peng
- Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, Guangzhou, China
- School of Psychology, Center for Studies of Psychological Application, and Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China
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10
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Biria M, Banca P, Keser E, Healy MP, Sawiak SJ, Frota Lisbôa Pereira de Souza AM, Marzuki AA, Sule A, Robbins TW. Excessive Checking in Obsessive-Compulsive Disorder: Neurochemical Correlates Revealed by 7T Magnetic Resonance Spectroscopy. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2024; 4:363-373. [PMID: 38298778 PMCID: PMC10829650 DOI: 10.1016/j.bpsgos.2023.08.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 08/08/2023] [Accepted: 08/11/2023] [Indexed: 02/02/2024] Open
Abstract
Background Compulsive checking, a common symptom of obsessive-compulsive disorder (OCD), has been difficult to capture experimentally. Therefore, determination of its neural basis remains challenging despite some evidence suggesting that it is linked to dysfunction of cingulostriatal systems. This study introduces a novel experimental paradigm to measure excessive checking and its neurochemical correlates. Methods Thirty-one patients with OCD and 29 healthy volunteers performed a decision-making task requiring them to decide whether 2 perceptually similar visual representations were the same or different under a high-uncertainty condition without feedback. Both groups underwent 7T magnetic resonance spectroscopy scans on the same day. Correlations between out-of-scanner experimental measures of checking and the glutamate/GABA (gamma-aminobutyric acid) ratio in the anterior cingulate cortex, supplementary motor area, and occipital cortex were assessed. Their relationship with subjective ratings of doubt, anxiety, and confidence was also investigated. Results Patients with OCD exhibited excessive and dysfunctional checking, which was significantly correlated with changes in the glutamate/GABA ratio within the anterior cingulate cortex. No behavioral/neurochemical relationships were evident for either the supplementary motor area or occipital cortex. The excessive checking observed in patients was negatively correlated with their confidence levels and positively related to doubt, anxiety, and compulsivity traits. Conclusions We conclude that experimental measures of excessive and dysfunctional checking in OCD, which have been linked to increased doubt, anxiety, and lack of confidence, are related to an imbalance between excitatory and inhibitory neural activity within the anterior cingulate cortex. This study adds to our understanding of the role of this region in OCD by providing a laboratory model of the possible development of compulsive checking.
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Affiliation(s)
- Marjan Biria
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
- Division of Psychiatry and Division of Psychology and Language Sciences, University College London, London, United Kingdom
| | - Paula Banca
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Engin Keser
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Máiréad P. Healy
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Stephen J. Sawiak
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | - Ana Maria Frota Lisbôa Pereira de Souza
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
| | - Aleya A. Marzuki
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Department of Psychology, School of Medical and Life Sciences, Sunway University, Selangor, Malaysia
| | - Akeem Sule
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Trevor W. Robbins
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, United Kingdom
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11
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Zhang X, Zhou J, Chen Y, Guo L, Yang Z, Robbins TW, Fan Q. Pathological Networking of Gray Matter Dendritic Density With Classic Brain Morphometries in OCD. JAMA Netw Open 2023; 6:e2343208. [PMID: 37955895 PMCID: PMC10644219 DOI: 10.1001/jamanetworkopen.2023.43208] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2023] [Accepted: 10/04/2023] [Indexed: 11/14/2023] Open
Abstract
Importance The pathogenesis of obsessive-compulsive disorder (OCD) may involve altered dendritic morphology, but in vivo imaging of neurite morphology in OCD remains limited. Such changes must be interpreted functionally within the context of the multimodal neuroimaging approach to OCD. Objective To examine whether dendritic morphology is altered in patients with OCD compared with healthy controls (HCs) and whether such alterations are associated with other brain structural metrics in pathological networks. Design, Setting, and Participants This case-control study used cross-sectional data, including multimodal brain images and clinical symptom assessments, from 108 patients with OCD and 108 HCs from 2014 to 2017. Patients with OCD were recruited from Shanghai Mental Health Center, Shanghai, China, and HCs were recruited via advertisements. The OCD group comprised unmedicated adults with a Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition) (DSM-IV) diagnosis of OCD, while the HCs were adults without any DSM-IV diagnosis, matched for age, sex, and education level. Data were analyzed from September 2019 to April 2023. Exposure DSM-IV diagnosis of OCD. Main Outcomes and Measures Multimodal brain imaging was used to compare neurite microstructure and classic morphometries between patients with OCD and HCs. The whole brain was searched to identify regions exhibiting altered morphology in patients with OCD and explore the interplay between the brain metrics representing these alterations. Brain-symptom correlations were analyzed, and the performance of different brain metric configurations were evaluated in distinguishing patients with OCD from HCs. Results Among 108 HCs (median [IQR] age, 26 [23-31] years; 50 [46%] female) and 108 patients with OCD (median [IQR] age, 26 [24-31] years; 46 [43%] female), patients with OCD exhibited deficient neurite density in the right lateral occipitoparietal regions (peak t = 3.821; P ≤ .04). Classic morphometries also revealed widely-distributed alterations in the brain (peak t = 4.852; maximum P = .04), including the prefrontal, medial parietal, cingulate, and fusiform cortices. These brain metrics were interconnected into a pathological brain network associated with OCD symptoms (global strength: HCs, 0.253; patients with OCD, 0.941; P = .046; structural difference, 0.572; P < .001). Additionally, the neurite density index exhibited high discriminatory power in distinguishing patients with OCD from HCs (accuracy, ≤76.85%), and the entire pathological brain network also exhibited excellent discriminative classification properties (accuracy, ≤82.87%). Conclusions and Relevance The findings of this case-control study underscore the utility of in vivo imaging of gray matter dendritic density in future OCD research and the development of neuroimaging-based biomarkers. They also endorse the concept of connectopathy, providing a potential framework for interpreting the associations among various OCD symptom-related morphological anomalies.
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Affiliation(s)
- Xiaochen Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiajia Zhou
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yongjun Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Now with Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Lei Guo
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhi Yang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Now with Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Trevor W. Robbins
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Qing Fan
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
- Mental Health Branch, China Hospital Development Institute, Shanghai Jiao Tong University, Shanghai, China
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12
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Hans G, Sharma U, Gupte N, Ganesh R, Patil V, Sharan P. Proton magnetic resonance spectroscopy-based evaluation of metabolic abnormalities in the right dorsolateral prefrontal cortex and caudate nucleus in treatment-naïve patients with obsessive-compulsive disorder. Indian J Psychiatry 2023; 65:1151-1157. [PMID: 38249138 PMCID: PMC10795662 DOI: 10.4103/indianjpsychiatry.indianjpsychiatry_663_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 10/15/2023] [Accepted: 10/26/2023] [Indexed: 01/23/2024] Open
Abstract
Background Obsessive-compulsive disorder (OCD) is a common psychiatric disorder whose underlying pathophysiology is insufficiently understood. The pathophysiology of OCD may be related to abnormalities in the biochemistry of neurotransmitters. Aim The aim of the present study was to measure the absolute concentration of various metabolites in the right dorsolateral prefrontal cortex (DLPFC) and caudate nucleus (CN) in treatment-naive patients with OCD and compare it with healthy controls (HCs). Methods The present study investigated the metabolic profile of two brain regions, namely right DLPFC and CN, by using single voxel in-vivo proton magnetic resonance spectroscopy (1H MRS) in drug-naive patients with OCD (n = 17, mean age = 30.71 ± 10.104 years) and compared it with healthy controls (n = 13, mean age = 30.77 ± 5.449 years). The patients with OCD were recruited after appropriate psychometric assessments. The 1H-MRS experiments were performed using the 3 Tesla (3T) human MR scanner, and absolute concentrations of metabolites were estimated using the LC model. Results Significantly lower concentration of tNAA in the right DLPFC was observed in the patients with OCD compared to the controls, which may be indicative of neurodegeneration in this region. However, no significant differences were observed in the concentrations of the metabolites between the patients and controls in the CN region. The level of tNAA in DLPFC significantly correlated with the disability level (WHO-DAS) of the patients. Conclusions The present study demonstrates abnormalities in the metabolic profile of an important region, DLPFC of the CSTC circuit, which is suggestive of neurodegeneration in the region in OCD patients.
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Affiliation(s)
- Gagan Hans
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
| | - Uma Sharma
- Department of Nuclear Magnetic Resonance and MRI Facility, All India Institute of Medical Sciences, New Delhi, India
| | - Novy Gupte
- Department of Pharmacology, Army College of Medical Sciences, New Delhi, India
| | - Ragul Ganesh
- Department of Psychiatry, All India Institute of Medical Sciences, Jammu, India
| | - Vaibhav Patil
- Cardiothoracic and Neurosciences Centre, All India Institute of Medical Sciences, New Delhi, India
| | - Pratap Sharan
- Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
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13
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Kosová E, Pajuelo D, Fajnerová I, Greguš D, Brunovský M, Stopková P, Škoch A, Fürstová P, Španiel F, Horáček J. Spectroscopic abnormalities in the pregenual anterior cingulate cortex in obsessive-compulsive disorder using proton magnetic resonance spectroscopy: a controlled study. BMC Psychiatry 2023; 23:734. [PMID: 37817131 PMCID: PMC10565966 DOI: 10.1186/s12888-023-05228-3] [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: 04/11/2023] [Accepted: 09/27/2023] [Indexed: 10/12/2023] Open
Abstract
BACKGROUND The main aim of the present study is to determine the role of metabolites observed using proton magnetic resonance spectroscopy (1H-MRS) in obsessive-compulsive disorder (OCD). As the literature describing biochemical changes in OCD yields conflicting results, we focused on accurate metabolite quantification of total N-acetyl aspartate (tNAA), total creatine (tCr), total choline-containing compounds (tCh), and myo-inositol (mI) in the anterior cingulate cortex (ACC) to capture the small metabolic changes between OCD patients and controls and between OCD patients with and without medication. METHODS In total 46 patients with OCD and 46 healthy controls (HC) matched for age and sex were included in the study. The severity of symptoms in the OCD was evaluated on the day of magnetic resonance imaging (MRI) using the Yale-Brown Obsessive-Compulsive Scale (YBOCS). Subjects underwent 1H-MRS from the pregenual ACC (pgACC) region to calculate concentrations of tNAA, tCr, tCho, and mI. Twenty-eight OCD and 28 HC subjects were included in the statistical analysis. We compared differences between groups for all selected metabolites and in OCD patients we analyzed the relationship between metabolite levels and symptom severity, medication status, age, and the duration of illness. RESULTS Significant decreases in tCr (U = 253.00, p = 0.022) and mI (U = 197.00, p = 0.001) in the pgACC were observed in the OCD group. No statistically significant differences were found in tNAA and tCho levels; however, tCho revealed a trend towards lower concentrations in OCD patients (U = 278.00, p = 0.062). Metabolic concentrations showed no significant correlations with the age and duration of illness. The correlation statistics found a significant negative correlation between tCr levels and YBOCS compulsions subscale (cor = -0.380, p = 0.046). tCho and YBOCS compulsions subscale showed a trend towards a negative correlation (cor = -0.351, p = 0.067). Analysis of subgroups with or without medication showed no differences. CONCLUSIONS Patients with OCD present metabolic disruption in the pgACC. The decrease in tCr shows an important relationship with OCD symptomatology. tCr as a marker of cerebral bioenergetics may also be considered as a biomarker of the severity of compulsions. The study failed to prove that metabolic changes correlate with the medication status or the duration of illness. It seems that a disruption in the balance between these metabolites and their transmission may play a role in the pathophysiology of OCD.
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Affiliation(s)
- Eliška Kosová
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Dita Pajuelo
- Third Faculty of Medicine, Charles University, Prague, Czech Republic.
- MR Unit, Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
| | - Iveta Fajnerová
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - David Greguš
- National Institute of Mental Health, Klecany, Czech Republic
| | - Martin Brunovský
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Pavla Stopková
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Antonín Škoch
- National Institute of Mental Health, Klecany, Czech Republic
- MR Unit, Department of Diagnostic and Interventional Radiology, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
| | - Petra Fürstová
- National Institute of Mental Health, Klecany, Czech Republic
| | - Filip Španiel
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Jiří Horáček
- National Institute of Mental Health, Klecany, Czech Republic
- Third Faculty of Medicine, Charles University, Prague, Czech Republic
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Wilson C, Gattuso JJ, Hannan AJ, Renoir T. Mechanisms of pathogenesis and environmental moderators in preclinical models of compulsive-like behaviours. Neurobiol Dis 2023; 185:106223. [PMID: 37423502 DOI: 10.1016/j.nbd.2023.106223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 07/03/2023] [Accepted: 07/06/2023] [Indexed: 07/11/2023] Open
Abstract
Obsessive-compulsive and related disorders (OCRD) is an emergent class of psychiatric illnesses that contributes substantially to the global mental health disease burden. In particular, the prototypical illness, obsessive-compulsive disorder (OCD), has a profoundly deleterious effect on the quality of life of those with lived experience. Both clinical and preclinical studies have investigated the genetic and environmental influences contributing to the pathogenesis of obsessive-compulsive and related disorders. Significant progress has been made in recent years in our understanding of the genetics of OCD, along with the critical role of common environmental triggers (e.g., stress). Some of this progress can be attributed to the sophistication of rodent models used in the field, particularly genetic mutant models, which demonstrate promising construct, face, and predictive validity. However, there is a paucity of studies investigating how these genetic and environmental influences interact to precipitate the behavioural, cellular, and molecular changes that occur in OCD. In this review, we assert that preclinical studies offer a unique opportunity to carefully manipulate environmental and genetic factors, and in turn to interrogate gene-environment interactions and relevant downstream sequelae. Such studies may serve to provide a mechanistic framework to build our understanding of the pathogenesis of complex neuropsychiatric disorders such as OCD. Furthermore, understanding gene-environment interactions and pathogenic mechanisms will facilitate precision medicine and other future approaches to enhance treatment, reduce side-effects of therapeutic interventions, and improve the lives of those suffering from these devastating disorders.
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Affiliation(s)
- Carey Wilson
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia
| | - James J Gattuso
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia
| | - Anthony J Hannan
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia
| | - Thibault Renoir
- Florey Institute of Neuroscience and Mental Health, Melbourne Brain Centre, University of Melbourne, Parkville, Australia; Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Parkville, Australia.
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15
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Vellucci L, Ciccarelli M, Buonaguro EF, Fornaro M, D’Urso G, De Simone G, Iasevoli F, Barone A, de Bartolomeis A. The Neurobiological Underpinnings of Obsessive-Compulsive Symptoms in Psychosis, Translational Issues for Treatment-Resistant Schizophrenia. Biomolecules 2023; 13:1220. [PMID: 37627285 PMCID: PMC10452784 DOI: 10.3390/biom13081220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 07/24/2023] [Accepted: 07/31/2023] [Indexed: 08/27/2023] Open
Abstract
Almost 25% of schizophrenia patients suffer from obsessive-compulsive symptoms (OCS) considered a transdiagnostic clinical continuum. The presence of symptoms pertaining to both schizophrenia and obsessive-compulsive disorder (OCD) may complicate pharmacological treatment and could contribute to lack or poor response to the therapy. Despite the clinical relevance, no reviews have been recently published on the possible neurobiological underpinnings of this comorbidity, which is still unclear. An integrative view exploring this topic should take into account the following aspects: (i) the implication for glutamate, dopamine, and serotonin neurotransmission as demonstrated by genetic findings; (ii) the growing neuroimaging evidence of the common brain regions and dysfunctional circuits involved in both diseases; (iii) the pharmacological modulation of dopaminergic, serotoninergic, and glutamatergic systems as current therapeutic strategies in schizophrenia OCS; (iv) the recent discovery of midbrain dopamine neurons and dopamine D1- and D2-like receptors as orchestrating hubs in repetitive and psychotic behaviors; (v) the contribution of N-methyl-D-aspartate receptor subunits to both psychosis and OCD neurobiology. Finally, we discuss the potential role of the postsynaptic density as a structural and functional hub for multiple molecular signaling both in schizophrenia and OCD pathophysiology.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Andrea de Bartolomeis
- Section of Psychiatry, Laboratory of Translational and Molecular Psychiatry and Unit of Treatment-Resistant Psychosis, Department of Neuroscience, Reproductive Sciences and Dentistry University Medical School of Naples “Federico II”, Via Pansini 5, 80131 Naples, Italy
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16
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Biria M, Banca P, Healy MP, Keser E, Sawiak SJ, Rodgers CT, Rua C, de Souza AMFLP, Marzuki AA, Sule A, Ersche KD, Robbins TW. Cortical glutamate and GABA are related to compulsive behaviour in individuals with obsessive compulsive disorder and healthy controls. Nat Commun 2023; 14:3324. [PMID: 37369695 DOI: 10.1038/s41467-023-38695-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 05/09/2023] [Indexed: 06/29/2023] Open
Abstract
There has been little analysis of neurochemical correlates of compulsive behaviour to illuminate its underlying neural mechanisms. We use 7-Tesla proton magnetic resonance spectroscopy (1H-MRS) to assess the balance of excitatory and inhibitory neurotransmission by measuring glutamate and GABA levels in anterior cingulate cortex (ACC) and supplementary motor area (SMA) of healthy volunteers and participants with Obsessive-Compulsive Disorder (OCD). Within the SMA, trait and clinical measures of compulsive behaviour are related to glutamate levels, whereas a behavioural index of habitual control correlates with the glutamate:GABA ratio. Participants with OCD also show the latter relationship in the ACC while exhibiting elevated glutamate and lower GABA levels in that region. This study highlights SMA mechanisms of habitual control relevant to compulsive behaviour, common to the healthy sub-clinical and OCD populations. The results also demonstrate additional involvement of anterior cingulate in the balance between goal-directed and habitual responding in OCD.
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Affiliation(s)
- Marjan Biria
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK.
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK.
| | - Paula Banca
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Máiréad P Healy
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Engin Keser
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Stephen J Sawiak
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, CB2 3EL, UK
| | - Christopher T Rodgers
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
| | - Catarina Rua
- Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0QQ, UK
- Department of Clinical Neurosciences and Cambridge University Hospitals NHS Trust, University of Cambridge, Cambridge, UK
| | - Ana Maria Frota Lisbôa Pereira de Souza
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
| | - Aleya A Marzuki
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK
- Department of Psychology, School of Medical and Life Sciences, Sunway University, Petaling Jaya, Malaysia
| | - Akeem Sule
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Karen D Ersche
- Department of Psychiatry, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Addictive Behaviour and Addiction Medicine, Central Institute of Mental Health, University of Heidelberg, Heidelberg, Germany
| | - Trevor W Robbins
- Department of Psychology, University of Cambridge, Cambridge, CB2 3EB, UK.
- Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge, CB2 3EB, UK.
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17
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Li Z, Gao J, Lin L, Zheng Z, Yan S, Wang W, Shi D, Wang Z. Untargeted metabolomics analysis in drug-naïve patients with severe obsessive-compulsive disorder. Front Neurosci 2023; 17:1148971. [PMID: 37332872 PMCID: PMC10272357 DOI: 10.3389/fnins.2023.1148971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 05/15/2023] [Indexed: 06/20/2023] Open
Abstract
Introduction Obsessive-compulsive disorder (OCD), characterized by the presence of obsessions and/or compulsions, is often difficult to diagnose and treat in routine clinical practice. The candidate circulating biomarkers and primary metabolic pathway alteration of plasma in OCD remain poorly understood. Methods We recruited 32 drug-naïve patients with severe OCD and 32 compared healthy controls and applied the untargeted metabolomics approach by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) to assess their circulating metabolic profiles. Both univariate and multivariate analyses were then utilized to filtrate differential metabolites between patients and healthy controls, and weighted Correlation Network Analysis (WGCNA) was utilized to screen out hub metabolites. Results A total of 929 metabolites were identified, including 34 differential metabolites and 51 hub metabolites, with an overlap of 13 metabolites. Notably, the following enrichment analyses underlined the importance of unsaturated fatty acids and tryptophan metabolism alterations in OCD. Metabolites of these pathways in plasma appeared to be promising biomarkers, such as Docosapentaenoic acid and 5-Hydroxytryptophan, which may be biomarkers for OCD identification and prediction of sertraline treatment outcome, respectively. Conclusion Our findings revealed alterations in the circulating metabolome and the potential utility of plasma metabolites as promising biomarkers in OCD.
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Affiliation(s)
- Zheqin Li
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jian Gao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Liangjun Lin
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zifeng Zheng
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Susu Yan
- Shandong Daizhuang Hospital, Jining, Shandong, China
| | - Weidi Wang
- Shanghai Mental Health Center, School of Biomedical Engineering, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
- Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| | - Dongdong Shi
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
| | - Zhen Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, China
- Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China
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18
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Yuan Z, Wang W, Zhang X, Bai X, Tang H, Mei Y, Zhang P, Qiu D, Zhang X, Zhang Y, Yu X, Sui B, Wang Y. Altered functional connectivity of the right caudate nucleus in chronic migraine: a resting-state fMRI study. J Headache Pain 2022; 23:154. [PMID: 36460958 PMCID: PMC9717534 DOI: 10.1186/s10194-022-01506-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 10/06/2022] [Accepted: 10/06/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND The definitive pathogenic mechanisms underlying chronic migraine (CM) remain unclear. Mounting evidence from functional and structural magnetic resonance imaging (MRI) studies suggests that the caudate nucleus (CN) plays a role in the cognitive, sensory, and emotional integration of pain information in patients with migraine. However, evidence concerning the role played by CN in CM patients is limited. Here, we used the CN as the seed to explore patterns of functional connectivity (FC) among healthy controls (HCs), patients with episodic migraine (EM), and patients with CM. METHODS We included 25 HCs, 23 EM patients, and 46 CM patients in this study. All participants underwent resting-state functional MRI scans on a GE 3.0T MRI system. We performed seed-based FC analyses among the three groups using the bilateral CNs as seeds. We also compared the subgroups of CM (with and without medication overuse headache, males and females) and performed Pearson's correlation analyses between FC values and the clinical features of CM patients. RESULTS FC values between the right CN and five clusters (mainly involved in emotion, cognition, and sensory-related brain regions) were higher in CM patients than in HCs. Compared to EM patients, enhanced FC values between the bilateral precuneus, left anterior cingulate gyrus, right middle cingulate cortex, right lingual gyrus, and right CN were shown in the CM patients. There were no significant differences between CM patients with and without MOH, males and females. FC values between the bilateral calcarine cortex, lingual gyrus, and right CN were positively correlated with body mass index. Moreover, right CN-related FC values in the left calcarine cortex and right lingual gyrus were inversely correlated with visual analogue scale scores for headaches. CONCLUSION Our results revealed abnormal right CN-based FC values in CM patients, suggesting dysfunction of brain networks associated with pain perception and multi-regulation (emotion, cognition, and sensory). Aberrant FC of the CN can provide potential neuroimaging markers for the diagnosis and treatment of CM.
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Affiliation(s)
- Ziyu Yuan
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Wei Wang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Xueyan Zhang
- grid.412633.10000 0004 1799 0733Department of Neurology, The First Affiliated Hospital of Zhengzhou University, No.1, Jianshe East Road, 450000 Zhengzhou, China
| | - Xiaoyan Bai
- Tiantan Neuroimaging Center of Excellence, National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Radiology, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Hefei Tang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Yanliang Mei
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Peng Zhang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Dong Qiu
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Xue Zhang
- Tiantan Neuroimaging Center of Excellence, National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China ,grid.24696.3f0000 0004 0369 153XDepartment of Radiology, Beijing Tiantan Hospital, Beijing Neurosurgical Institute, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Yaqing Zhang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Xueying Yu
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Binbin Sui
- Tiantan Neuroimaging Center of Excellence, National Clinical Research Center for Neurological Diseases, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
| | - Yonggang Wang
- grid.24696.3f0000 0004 0369 153XHeadache Center, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, No.119 South Fourth Ring West Road, Fengtai District, 100070 Beijing, China
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19
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Chohan MO, Kopelman JM, Yueh H, Fazlali Z, Greene N, Harris AZ, Balsam PD, Leonardo ED, Kramer ER, Veenstra-VanderWeele J, Ahmari SE. Developmental impact of glutamate transporter overexpression on dopaminergic neuron activity and stereotypic behavior. Mol Psychiatry 2022; 27:1515-1526. [PMID: 35058566 PMCID: PMC9106836 DOI: 10.1038/s41380-021-01424-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2021] [Revised: 10/30/2021] [Accepted: 12/16/2021] [Indexed: 11/09/2022]
Abstract
Obsessive-compulsive disorder (OCD) is a disabling condition that often begins in childhood. Genetic studies in OCD have pointed to SLC1A1, which encodes the neuronal glutamate transporter EAAT3, with evidence suggesting that increased expression contributes to risk. In mice, midbrain Slc1a1 expression supports repetitive behavior in response to dopaminergic agonists, aligning with neuroimaging and pharmacologic challenge studies that have implicated the dopaminergic system in OCD. These findings suggest that Slc1a1 may contribute to compulsive behavior through altered dopaminergic transmission; however, this theory has not been mechanistically tested. To examine the developmental impact of Slc1a1 overexpression on compulsive-like behaviors, we, therefore, generated a novel mouse model to perform targeted, reversible overexpression of Slc1a1 in dopaminergic neurons. Mice with life-long overexpression of Slc1a1 showed a significant increase in amphetamine (AMPH)-induced stereotypy and hyperlocomotion. Single-unit recordings demonstrated that Slc1a1 overexpression was associated with increased firing of dopaminergic neurons. Furthermore, dLight1.1 fiber photometry showed that these behavioral abnormalities were associated with increased dorsal striatum dopamine release. In contrast, no impact of overexpression was observed on anxiety-like behaviors or SKF-38393-induced grooming. Importantly, overexpression solely in adulthood failed to recapitulate these behavioral phenotypes, suggesting that overexpression during development is necessary to generate AMPH-induced phenotypes. However, doxycycline-induced reversal of Slc1a1/EAAT3 overexpression in adulthood normalized both the increased dopaminergic firing and AMPH-induced responses. These data indicate that the pathologic effects of Slc1a1/EAAT3 overexpression on dopaminergic neurotransmission and AMPH-induced stereotyped behavior are developmentally mediated, and support normalization of EAAT3 activity as a potential treatment target for basal ganglia-mediated repetitive behaviors.
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Affiliation(s)
- Muhammad O Chohan
- Department of Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Jared M Kopelman
- Department of Psychiatry, Translational Neuroscience Program, University of Pittsburgh, Pittsburgh, PA, USA
- Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Hannah Yueh
- Department of Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Zeinab Fazlali
- Department of Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Natasha Greene
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychology, Barnard College of Columbia University, New York, NY, USA
| | - Alexander Z Harris
- Department of Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Peter D Balsam
- Department of Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
- Department of Psychology, Barnard College of Columbia University, New York, NY, USA
| | - E David Leonardo
- Department of Psychiatry, Columbia University, New York, NY, USA
- New York State Psychiatric Institute, New York, NY, USA
| | - Edgar R Kramer
- Peninsula Medical School, Faculty of Health, University of Plymouth, Plymouth, Devon, UK
| | - Jeremy Veenstra-VanderWeele
- Department of Psychiatry, Columbia University, New York, NY, USA.
- New York State Psychiatric Institute, New York, NY, USA.
| | - Susanne E Ahmari
- Department of Psychiatry, Translational Neuroscience Program, University of Pittsburgh, Pittsburgh, PA, USA.
- Center for the Neural Basis of Cognition, Carnegie Mellon University, Pittsburgh, PA, USA.
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20
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Weeland CJ, Kasprzak S, de Joode NT, Abe Y, Alonso P, Ameis SH, Anticevic A, Arnold PD, Balachander S, Banaj N, Bargallo N, Batistuzzo MC, Benedetti F, Beucke JC, Bollettini I, Brecke V, Brem S, Cappi C, Cheng Y, Cho KIK, Costa DLC, Dallaspezia S, Denys D, Eng GK, Ferreira S, Feusner JD, Fontaine M, Fouche JP, Grazioplene RG, Gruner P, He M, Hirano Y, Hoexter MQ, Huyser C, Hu H, Jaspers-Fayer F, Kathmann N, Kaufmann C, Kim M, Koch K, Bin Kwak Y, Kwon JS, Lazaro L, Li CSR, Lochner C, Marsh R, Martínez-Zalacaín I, Mataix-Cols D, Menchón JM, Minnuzi L, Moreira PS, Morgado P, Nakagawa A, Nakamae T, Narayanaswamy JC, Nurmi EL, Ortiz AE, Pariente JC, Piacentini J, Picó-Pérez M, Piras F, Piras F, Pittenger C, Reddy YCJ, Rodriguez-Manrique D, Sakai Y, Shimizu E, Shivakumar V, Simpson HB, Soreni N, Soriano-Mas C, Sousa N, Spalletta G, Stern ER, Stevens MC, Stewart SE, Szeszko PR, Takahashi J, Tanamatis T, Tang J, Thorsen AL, Tolin D, van der Werf YD, van Marle H, van Wingen GA, Vecchio D, Venkatasubramanian G, Walitza S, Wang J, Wang Z, Watanabe A, Wolters LH, Xu X, Yun JY, Zhao Q, White T, Thompson PM, Stein DJ, van den Heuvel OA, Vriend C. The thalamus and its subnuclei-a gateway to obsessive-compulsive disorder. Transl Psychiatry 2022; 12:70. [PMID: 35190533 PMCID: PMC8861046 DOI: 10.1038/s41398-022-01823-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/06/2022] [Accepted: 01/20/2022] [Indexed: 01/01/2023] Open
Abstract
Larger thalamic volume has been found in children with obsessive-compulsive disorder (OCD) and children with clinical-level symptoms within the general population. Particular thalamic subregions may drive these differences. The ENIGMA-OCD working group conducted mega- and meta-analyses to study thalamic subregional volume in OCD across the lifespan. Structural T1-weighted brain magnetic resonance imaging (MRI) scans from 2649 OCD patients and 2774 healthy controls across 29 sites (50 datasets) were processed using the FreeSurfer built-in ThalamicNuclei pipeline to extract five thalamic subregions. Volume measures were harmonized for site effects using ComBat before running separate multiple linear regression models for children, adolescents, and adults to estimate volumetric group differences. All analyses were pre-registered ( https://osf.io/73dvy ) and adjusted for age, sex and intracranial volume. Unmedicated pediatric OCD patients (<12 years) had larger lateral (d = 0.46), pulvinar (d = 0.33), ventral (d = 0.35) and whole thalamus (d = 0.40) volumes at unadjusted p-values <0.05. Adolescent patients showed no volumetric differences. Adult OCD patients compared with controls had smaller volumes across all subregions (anterior, lateral, pulvinar, medial, and ventral) and smaller whole thalamic volume (d = -0.15 to -0.07) after multiple comparisons correction, mostly driven by medicated patients and associated with symptom severity. The anterior thalamus was also significantly smaller in patients after adjusting for thalamus size. Our results suggest that OCD-related thalamic volume differences are global and not driven by particular subregions and that the direction of effects are driven by both age and medication status.
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Affiliation(s)
- Cees J. Weeland
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Selina Kasprzak
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Niels T. de Joode
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Yoshinari Abe
- grid.272458.e0000 0001 0667 4960Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Pino Alonso
- grid.411129.e0000 0000 8836 0780Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain ,grid.469673.90000 0004 5901 7501CIBERSAM, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Stephanie H. Ameis
- grid.155956.b0000 0000 8793 5925Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada ,grid.17063.330000 0001 2157 2938Department of Psychiatry, University of Toronto, Toronto, Ontario Canada ,grid.42327.300000 0004 0473 9646Program in Neurosciences and Mental Health, The Hospital for Sick Children, Toronto, ON Canada
| | - Alan Anticevic
- grid.47100.320000000419368710Departments of Psychiatry and Neuroscience, Yale University, New Haven, CT USA
| | - Paul D. Arnold
- grid.22072.350000 0004 1936 7697The Mathison Centre for Mental Health Research & Education, Departments of Psychiatry and Medical Genetics, Calgary, Canada ,grid.22072.350000 0004 1936 7697Cumming School of Medicine, University of Calgary, Calgary, AB Canada
| | - Srinivas Balachander
- grid.416861.c0000 0001 1516 2246OCD clinic, Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Nerisa Banaj
- grid.417778.a0000 0001 0692 3437Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Nuria Bargallo
- grid.10403.360000000091771775Magnetic Resonance Image Core Facility, Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain ,grid.410458.c0000 0000 9635 9413Image Diagnostic Center, Hospital Clinic, Barcelona, Spain
| | - Marcelo C. Batistuzzo
- grid.11899.380000 0004 1937 0722Departamento de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP Brazil ,grid.11899.380000 0004 1937 0722Department of Methods and Techniques in Psychology, Pontificial Catholic University of Sao Paulo, Sao Paulo, SP Brazil
| | - Francesco Benedetti
- grid.15496.3f0000 0001 0439 0892Vita-Salute San Raffaele University, Milano, Italy ,grid.18887.3e0000000417581884Psychiatry & Clinical Psychobiology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milano, Italy
| | - Jan C. Beucke
- grid.7468.d0000 0001 2248 7639Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany ,grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden ,grid.461732.5Department of Medical Psychology, Medical School Hamburg, Hamburg, Germany ,grid.461732.5Institute for Systems Medicine and Faculty of Human Medicine, MSH Medical School Hamburg, Hamburg, Germany
| | - Irene Bollettini
- grid.18887.3e0000000417581884Psychiatry and Clinical Psychobiology, Division of Neuroscience, Scientific Institute Ospedale San Raffaele, Milano, Italy
| | - Vilde Brecke
- grid.412008.f0000 0000 9753 1393Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway
| | - Silvia Brem
- grid.7400.30000 0004 1937 0650Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Carolina Cappi
- grid.59734.3c0000 0001 0670 2351Icahn School of Medicine at Mount Sinai Department of Psychiatry, New York, NY USA
| | - Yuqi Cheng
- grid.414902.a0000 0004 1771 3912Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Kang Ik K. Cho
- grid.38142.3c000000041936754XPsychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA USA ,grid.31501.360000 0004 0470 5905Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, Republic of Korea
| | - Daniel L. C. Costa
- grid.11899.380000 0004 1937 0722Obsessive-Compulsive Spectrum Disorders Program, Departamento e Instituto de Psiquiatria, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (USP), São Paulo, SP Brazil
| | - Sara Dallaspezia
- grid.18887.3e0000000417581884IRCCS Ospedale San Raffaele, Milano Italy Psychiatry, Milano, Italy
| | - Damiaan Denys
- grid.484519.5Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Goi Khia Eng
- grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University School of Medicine, New York, NY USA ,grid.250263.00000 0001 2189 4777Clinical Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Sónia Ferreira
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.512329.eClinical Academic Center - Braga, Braga, Portugal
| | - Jamie D. Feusner
- grid.17063.330000 0001 2157 2938Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, Toronto, Canada ,grid.19006.3e0000 0000 9632 6718Semel Institute for Neuroscience and Human Behavior, Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA USA
| | - Martine Fontaine
- grid.21729.3f0000000419368729Columbia University Medical College, Columbia University, New York, NY USA
| | - Jean-Paul Fouche
- grid.7836.a0000 0004 1937 1151Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Rachael G. Grazioplene
- grid.47100.320000000419368710Department of Psychiatry, Yale University, New Haven, CT USA
| | - Patricia Gruner
- grid.47100.320000000419368710Department of Psychiatry, Yale University, New Haven, CT USA
| | - Mengxin He
- grid.414902.a0000 0004 1771 3912Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yoshiyuki Hirano
- grid.136304.30000 0004 0370 1101Research Center for Child Mental Development, Chiba University, Chiba, Japan ,United Graduate School of Child Development, Osaka University, Kanazawa University, Hamamatsu University School of Medicine, Chiba University and University of Fukui, Suita, Japan
| | - Marcelo Q. Hoexter
- grid.11899.380000 0004 1937 0722Departamento de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP Brazil
| | - Chaim Huyser
- Levvel, Academic Center for Child and Adolescent Psychiatry, Amsterdam, the Netherlands ,grid.509540.d0000 0004 6880 3010Amsterdam UMC, Department of Child and Adolescent Psychiatry, Amsterdam, the Netherlands
| | - Hao Hu
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fern Jaspers-Fayer
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada ,grid.414137.40000 0001 0684 7788British Columbia Children’s Hospital Research Institute, Vancouver, Canada
| | - Norbert Kathmann
- grid.7468.d0000 0001 2248 7639Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Christian Kaufmann
- grid.7468.d0000 0001 2248 7639Department of Psychology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Minah Kim
- grid.412484.f0000 0001 0302 820XSeoul National University Hospital, Department of Neuropsychiatry, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Department of Psychiatry, Seoul, Republic of Korea
| | - Kathrin Koch
- grid.6936.a0000000123222966Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität, München, Germany ,grid.6936.a0000000123222966TUM-Neuroimaging Center (TUM-NIC) of Klinikum rechts der Isar, Technische Universität München, München, Germany
| | - Yoo Bin Kwak
- grid.31501.360000 0004 0470 5905Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, Republic of Korea
| | - Jun Soo Kwon
- grid.31501.360000 0004 0470 5905Department of Brain and Cognitive Sciences, Seoul National University College of Natural Science, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Seoul National University College of Medicine, Department of Psychiatry, Seoul, Republic of Korea ,grid.412484.f0000 0001 0302 820XDepartment of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Institute of Human Behavioral Medicine, SNU-MRC, Seoul, Republic of Korea
| | - Luisa Lazaro
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic, IDIBAPS, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Medicine, University of Barcelona, Barcelona, Spain
| | | | - Christine Lochner
- grid.11956.3a0000 0001 2214 904XStellenbosch University, SAMRC Unit on Risk and Resilience in Mental Disorders, Department of Psychiatry, Stellenbosch, South Africa
| | - Rachel Marsh
- grid.21729.3f0000000419368729Columbia University Medical College, Columbia University, New York, NY USA
| | - Ignacio Martínez-Zalacaín
- grid.411129.e0000 0000 8836 0780Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - David Mataix-Cols
- grid.4714.60000 0004 1937 0626Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Stockholm, Sweden ,grid.467087.a0000 0004 0442 1056Stockholm Health Care Services, Region Stockholm, Stockholm, Sweden
| | - Jose M. Menchón
- grid.411129.e0000 0000 8836 0780Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain ,grid.469673.90000 0004 5901 7501CIBERSAM, Barcelona, Spain ,grid.5841.80000 0004 1937 0247Department of Clinical Sciences, University of Barcelona, Barcelona, Spain
| | - Luciano Minnuzi
- grid.25073.330000 0004 1936 8227Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, Ontario Canada ,Offord Centre for Child Studies, Hamilton, Ontario Canada
| | - Pedro Silva Moreira
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.10328.380000 0001 2159 175XPsychological Neuroscience Lab, CIPsi, School of Psychology, University of Minho, Braga, Portugal
| | - Pedro Morgado
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.512329.eClinical Academic Center-Braga (2CA), Braga, Portugal ,grid.436922.80000 0004 4655 1975Hospital de Braga, Braga, Portugal
| | - Akiko Nakagawa
- grid.136304.30000 0004 0370 1101Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Takashi Nakamae
- grid.272458.e0000 0001 0667 4960Graduate School of Medical Science Kyoto Prefectural University of Medicine, Department of Psychiatry, Kyoto, Japan
| | - Janardhanan C. Narayanaswamy
- grid.416861.c0000 0001 1516 2246OCD clinic, Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Erika L. Nurmi
- grid.19006.3e0000 0000 9632 6718Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA USA
| | - Ana E. Ortiz
- grid.410458.c0000 0000 9635 9413Department of Child and Adolescent Psychiatry and Psychology, Institute of Neuroscience, Hospital Clinic, Barcelona, Spain ,grid.10403.360000000091771775Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Jose C. Pariente
- grid.10403.360000000091771775Magnetic Resonance Image Core Facility, Institut d’Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - John Piacentini
- grid.19006.3e0000 0000 9632 6718UCLA Semel Institute, Division of Child and Adolescent Psychiatry, Los Angeles, CA USA
| | - Maria Picó-Pérez
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.512329.eClinical Academic Center - Braga, Braga, Portugal
| | - Fabrizio Piras
- grid.417778.a0000 0001 0692 3437Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Federica Piras
- grid.417778.a0000 0001 0692 3437Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Christopher Pittenger
- grid.47100.320000000419368710Department of Psychiatry and Yale Child Study Center, Yale University, New Haven, CT USA
| | - Y. C. Janardhan Reddy
- grid.416861.c0000 0001 1516 2246OCD clinic, Department of Psychiatry, National Institute of Mental Health And Neurosciences (NIMHANS), Bangalore, India
| | - Daniela Rodriguez-Manrique
- grid.6936.a0000000123222966TUM-Neuroimaging Center (TUM-NIC) of Klinikum rechts der Isar, Technische Universität München, München, Germany ,grid.6936.a0000000123222966Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany ,grid.5252.00000 0004 1936 973XGraduate School of Systemic Neurosciences (GSN), Ludwig-Maximilians-Universität, Munich, Germany
| | - Yuki Sakai
- grid.272458.e0000 0001 0667 4960Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan ,grid.418163.90000 0001 2291 1583Department of Neural Computation for Decision-Making, Advanced Telecommunications Research Institute International Brain Information Communication Research Laboratory Group, Kyoto, Japan
| | - Eiji Shimizu
- grid.136304.30000 0004 0370 1101Research Center for Child Mental Development, Chiba University, Chiba, Japan
| | - Venkataram Shivakumar
- grid.416861.c0000 0001 1516 2246Department of Integrative Medicine, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India
| | - Helen Blair Simpson
- grid.21729.3f0000000419368729Columbia University Irving Medical College, Columbia University, New York, NY USA ,grid.413734.60000 0000 8499 1112New York State Psychiatric Institute, New York, NY USA
| | - Noam Soreni
- grid.25073.330000 0004 1936 8227Department of Psychiatry and Behavioral Neurosciences, McMaster University, Hamilton, Ontario Canada ,Pediatric OCD Consultation Team, Anxiety Treatment and Research Center, Hamilton, Ontario Canada
| | - Carles Soriano-Mas
- grid.411129.e0000 0000 8836 0780Bellvitge Biomedical Research Insitute-IDIBELL, Bellvitge University Hospital, Barcelona, Spain ,grid.469673.90000 0004 5901 7501CIBERSAM, Barcelona, Spain ,grid.7080.f0000 0001 2296 0625Department of Psychobiology and Methodology of Health Sciences, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Nuno Sousa
- grid.10328.380000 0001 2159 175XLife and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal ,grid.10328.380000 0001 2159 175XICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal ,grid.512329.eClinical Academic Center - Braga, Braga, Portugal
| | - Gianfranco Spalletta
- grid.417778.a0000 0001 0692 3437IRCCS Santa Lucia Foundation, Laboratory of Neuropsychiatry, Rome, Italy ,grid.39382.330000 0001 2160 926XBaylor College of Medicine, Department of Psychiatry and Behavioral Sciences, Houston, TX USA
| | - Emily R. Stern
- grid.137628.90000 0004 1936 8753Department of Psychiatry, New York University School of Medicine, New York, NY USA ,grid.250263.00000 0001 2189 4777Clinical Research, Nathan Kline Institute for Psychiatric Research, Orangeburg, NY USA
| | - Michael C. Stevens
- grid.277313.30000 0001 0626 2712Institute of Living, Hartford, CT USA ,grid.47100.320000000419368710Yale University School of Medicine, New Haven, CT USA
| | - S. Evelyn Stewart
- grid.17091.3e0000 0001 2288 9830Department of Psychiatry, University of British Columbia, Vancouver, Canada ,grid.414137.40000 0001 0684 7788British Columbia Children’s Hospital Research Institute, Vancouver, Canada ,grid.498716.50000 0000 8794 2105BC Mental Health and Substance Use Services Research Institute, Vancouver, Canada
| | - Philip R. Szeszko
- grid.59734.3c0000 0001 0670 2351Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY USA ,grid.274295.f0000 0004 0420 1184James J. Peters VA Medical Center, Mental Illness Research, Education and Clinical Center, Bronx, NY USA
| | - Jumpei Takahashi
- grid.411321.40000 0004 0632 2959Department of Child Psychiatry, Chiba University Hospital, Chiba, Japan
| | - Tais Tanamatis
- grid.11899.380000 0004 1937 0722Departamento de Psiquiatria, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, SP Brazil
| | - Jinsong Tang
- grid.13402.340000 0004 1759 700XDepartment of Psychiatry, Sir Run-Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China ,grid.13402.340000 0004 1759 700XLiangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, China
| | - Anders Lillevik Thorsen
- grid.412008.f0000 0000 9753 1393Bergen Center for Brain Plasticity, Haukeland University Hospital, Bergen, Norway ,grid.7914.b0000 0004 1936 7443Centre for Crisis Psychology, University of Bergen, Bergen, Norway
| | - David Tolin
- grid.47100.320000000419368710Yale University School of Medicine, New Haven, CT USA ,grid.277313.30000 0001 0626 2712Institute of Living/Hartford Hospital, Hartford, CT USA
| | - Ysbrand D. van der Werf
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Hein van Marle
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Guido A. van Wingen
- grid.484519.5Amsterdam UMC, University of Amsterdam, Department of Psychiatry, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Daniela Vecchio
- grid.417778.a0000 0001 0692 3437Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - G. Venkatasubramanian
- grid.416861.c0000 0001 1516 2246National Institute of Mental Health And Neurosciences, Department of Psychiatry, Bengaluru, India
| | - Susanne Walitza
- grid.7400.30000 0004 1937 0650Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich, University of Zurich, Zurich, Switzerland ,grid.7400.30000 0004 1937 0650Neuroscience Center Zurich, University of Zurich and ETH Zurich, Zurich, Switzerland
| | - Jicai Wang
- grid.414902.a0000 0004 1771 3912Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhen Wang
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Anri Watanabe
- grid.272458.e0000 0001 0667 4960Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Lidewij H. Wolters
- grid.509540.d0000 0004 6880 3010Amsterdam UMC, Department of Child and Adolescent Psychiatry, Amsterdam, the Netherlands ,Levvel, Academic Center for Child and Adolescent Psychiatry, Post Box 303, 1115 ZG Duivendrecht, the Netherlands
| | - Xiufeng Xu
- grid.414902.a0000 0004 1771 3912Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Je-Yeon Yun
- grid.412484.f0000 0001 0302 820XSeoul National University Hospital, Seoul, Republic of Korea ,grid.31501.360000 0004 0470 5905Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Qing Zhao
- grid.16821.3c0000 0004 0368 8293Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Tonya White
- grid.5645.2000000040459992XErasmus Medical Center, Department of Child and Adolescent Psychiatry/Psychology, Wytemaweg 8, 3015 GD Rotterdam, the Netherlands ,grid.42505.360000 0001 2156 6853Department of Radiology and Nuclear Medicine, University of Southern California, Los Angeles, CA USA
| | - Paul M. Thompson
- grid.42505.360000 0001 2156 6853Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Dan J. Stein
- grid.7836.a0000 0004 1937 1151SAMRC Unit on Risk & Resilience in Mental Disorders, Department of Psychiatry & Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Odile A. van den Heuvel
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
| | - Chris Vriend
- grid.12380.380000 0004 1754 9227Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam, The Netherlands
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21
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Longitudinal changes in neurometabolite concentrations in the dorsal anterior cingulate cortex after concentrated exposure therapy for obsessive-compulsive disorder. J Affect Disord 2022; 299:344-352. [PMID: 34920037 DOI: 10.1016/j.jad.2021.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 12/07/2021] [Accepted: 12/09/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND The dorsal anterior cingulate cortex (dACC) plays an important role in the pathophysiology of obsessive-compulsive disorder (OCD) due to its role in error processing, cognitive control and emotion regulation. OCD patients have shown altered concentrations in neurometabolites in the dACC, particularly Glx (glutamate+glutamine) and tNAA (N-acetylaspartate+N-acetyl-aspartyl-glutamate). We investigated the immediate and prolonged effects of exposure and response prevention (ERP) on these neurometabolites. METHODS Glx and tNAA concentrations were measured using magnetic resonance spectroscopy (1H-MRS) in 24 OCD patients and 23 healthy controls at baseline. Patients received concentrated ERP over four days. A subset was re-scanned after one week and three months. RESULTS No Glx and tNAA abnormalities were observed in OCD patients compared to healthy controls before treatment or over time. Patients with childhood or adult onset differed in the change over time in tNAA (F(2,40) = 7.24, ɳ2p= 0.27, p = 0.004): concentrations increased between one week after treatment and follow-up in the childhood onset group (t(39) = -2.43, d = -0.86, p = 0.020), whereas tNAA concentrations decreased between baseline and follow-up in patients with an adult onset (t(42) = 2.78, d = 1.07, p = 0.008). In OCD patients with versus without comorbid mood disorders, lower Glx concentrations were detected at baseline (t(38) = -2.28, d = -1.00, p = 0.028). Glx increased after one week of treatment within OCD patients with comorbid mood disorders (t(30) = -3.09, d = -1.21, p = 0.004). LIMITATIONS Our OCD sample size allowed the detection of moderate to large effect sizes only. CONCLUSION ERP induced changes in neurometabolites in OCD seem to be dependent on mood disorder comorbidity and disease stage rather than OCD itself.
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22
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Abreu AC, Mora S, Tristán AI, Martín-González E, Prados-Pardo Á, Moreno M, Fernández I. NMR-based Metabolomics and Fatty Acid Profiles to Unravel Biomarkers in Preclinical Animal Models of Compulsive Behavior. J Proteome Res 2022; 21:612-622. [PMID: 35142515 PMCID: PMC8902800 DOI: 10.1021/acs.jproteome.1c00857] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
![]()
Compulsivity is a
key manifestation of inhibitory control deficit
and a cardinal symptom of psychopathological conditions such as obsessive-compulsive
and attention-deficit hyperactivity disorders, in which metabolic
alterations have raised attention as putative biomarkers for early
identification. The present study assessed the metabolic profile in
a preclinical model of a compulsive phenotype of rats. We used the
schedule-induced polydipsia (SIP) method to classify male Wistar rats
into high drinkers (HDs) or low drinkers (LDs) according to their
compulsive drinking rate developed by exposure to a fixed-time 60
s (FT-60) schedule of reinforcement with water available ad
libitum during 20 sessions. Before and after SIP, blood samples
were collected for subsequent serum analysis by nuclear magnetic resonance
spectroscopy coupled to multivariate analysis. Although no differences
existed in the pre-SIP set, the compulsive drinking behavior induced
remarkable metabolic alterations: HD rats selected by SIP exhibited
a hyperlipidemic, hypoglycemic, and hyperglutaminergic profile compared
with their low-compulsive counterparts. Interestingly, these alterations
were not attributable to the mere exposure to reward pellets because
a control experiment did not show differences between HDs and LDs
after 20 sessions of pellet consumption without intermittent reinforcement.
Our results shed light toward the implication of dietary and metabolic
factors underpinning the vulnerability to compulsive behaviors.
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Affiliation(s)
- Ana C Abreu
- Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Santiago Mora
- Department of Psychology and Health Research Center CEINSA, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Ana Isabel Tristán
- Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Elena Martín-González
- Department of Psychology and Health Research Center CEINSA, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Ángeles Prados-Pardo
- Department of Psychology and Health Research Center CEINSA, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Margarita Moreno
- Department of Psychology and Health Research Center CEINSA, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
| | - Ignacio Fernández
- Department of Chemistry and Physics, Research Centre CIAIMBITAL, University of Almería, Ctra. Sacramento, s/n, 04120 Almería, Spain
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23
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Reddy S, Goyal N, Shreekantiah U. Adjunctive deep transcranial magnetic stimulation (dTMS) in obsessive compulsive disorder: Findings from 1H-magnetic resonance spectroscopy. Asian J Psychiatr 2021; 62:102721. [PMID: 34116369 DOI: 10.1016/j.ajp.2021.102721] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 05/27/2021] [Indexed: 11/17/2022]
Affiliation(s)
| | - Nishant Goyal
- K.S. Mani Centre for Cognitive Neurosciences and fMRI Centre, Central Institute of Psychiatry, Ranchi, India.
| | - Umesh Shreekantiah
- K.S. Mani Centre for Cognitive Neurosciences and fMRI Centre, Central Institute of Psychiatry, Ranchi, India.
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24
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Yang D, Zhu X, Yan C, Peng Z, Bagonis M, Laurienti PJ, Styner M, Wu G. Joint hub identification for brain networks by multivariate graph inference. Med Image Anal 2021; 73:102162. [PMID: 34274691 DOI: 10.1016/j.media.2021.102162] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/01/2021] [Accepted: 07/02/2021] [Indexed: 11/19/2022]
Abstract
Recent developments in neuroimaging allow us to investigate the structural and functional connectivity between brain regions in vivo. Mounting evidence suggests that hub nodes play a central role in brain communication and neural integration. Such high centrality, however, makes hub nodes particularly susceptible to pathological network alterations and the identification of hub nodes from brain networks has attracted much attention in neuroimaging. Current popular hub identification methods often work in a univariate manner, i.e., selecting the hub nodes one after another based on either heuristic of the connectivity profile at each node or predefined settings of network modules. Since the topological information of the entire network (such as network modules) is not fully utilized, current methods have limited power to identify hubs that link multiple modules (connector hubs) and are biased toward identifying hubs having many connections within the same module (provincial hubs). To address this challenge, we propose a novel multivariate hub identification method. Our method identifies connector hubs as those that partition the network into disconnected components when they are removed from the network. Furthermore, we extend our hub identification method to find the population-based hub nodes from a group of network data. We have compared our hub identification method with existing methods on both simulated and human brain network data. Our proposed method achieves more accurate and replicable discovery of hub nodes and exhibits enhanced statistical power in identifying network alterations related to neurological disorders such as Alzheimer's disease and obsessive-compulsive disorder.
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Affiliation(s)
- Defu Yang
- Intelligent Information Processing Laboratory, Hangzhou Dianzi University, Hangzhou, China; Department of Psychiatry, University of North Carolina at Chapel Hill, USA
| | - Xiaofeng Zhu
- School of Natural and Computational Science, Massey University, Auckland, New Zealand
| | - Chenggang Yan
- Intelligent Information Processing Laboratory, Hangzhou Dianzi University, Hangzhou, China
| | - Ziwen Peng
- Department of Child Psychiatry, Shenzhen Kangning Hospital, Shenzhen, China
| | - Maria Bagonis
- Department of Psychiatry, University of North Carolina at Chapel Hill, USA
| | | | - Martin Styner
- Department of Psychiatry, University of North Carolina at Chapel Hill, USA; Department of Computer Science, University of North Carolina at Chapel Hill, USA
| | - Guorong Wu
- Department of Psychiatry, University of North Carolina at Chapel Hill, USA; Department of Computer Science, University of North Carolina at Chapel Hill, USA.
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25
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Rangaprakash D, Tadayonnejad R, Deshpande G, O'Neill J, Feusner JD. FMRI hemodynamic response function (HRF) as a novel marker of brain function: applications for understanding obsessive-compulsive disorder pathology and treatment response. Brain Imaging Behav 2021; 15:1622-1640. [PMID: 32761566 PMCID: PMC7865013 DOI: 10.1007/s11682-020-00358-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The hemodynamic response function (HRF) represents the transfer function linking neural activity with the functional MRI (fMRI) signal, modeling neurovascular coupling. Since HRF is influenced by non-neural factors, to date it has largely been considered as a confound or has been ignored in many analyses. However, underlying biophysics suggests that the HRF may contain meaningful correlates of neural activity, which might be unavailable through conventional fMRI metrics. Here, we estimated the HRF by performing deconvolution on resting-state fMRI data from a longitudinal sample of 25 healthy controls scanned twice and 44 adults with obsessive-compulsive disorder (OCD) before and after 4-weeks of intensive cognitive-behavioral therapy (CBT). HRF response height, time-to-peak and full-width at half-maximum (FWHM) in OCD were abnormal before treatment and normalized after treatment in regions including the caudate. Pre-treatment HRF predicted treatment outcome (OCD symptom reduction) with 86.4% accuracy, using machine learning. Pre-treatment HRF response height in the caudate head and time-to-peak in the caudate tail were top-predictors of treatment response. Time-to-peak in the caudate tail, a region not typically identified in OCD studies using conventional fMRI activation or connectivity measures, may carry novel importance. Additionally, pre-treatment response height in caudate head predicted post-treatment OCD severity (R = -0.48, P = 0.001), and was associated with treatment-related OCD severity changes (R = -0.44, P = 0.0028), underscoring its relevance. With HRF being a reliable marker sensitive to brain function, OCD pathology, and intervention-related changes, these results could guide future studies towards novel discoveries not possible through conventional fMRI approaches like standard BOLD activation or connectivity.
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Affiliation(s)
- D Rangaprakash
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School and Harvard-MIT Health Sciences and Technology, Cambridge, MA, 02129, USA
| | - Reza Tadayonnejad
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Division of the Humanities and Social Sciences, California Institute of Technology, Pasadena, CA, 91125, USA
| | - Gopikrishna Deshpande
- AU MRI Research Center, Department of Electrical and Computer Engineering, Auburn University, Auburn, AL, 36849, USA
- Department of Psychological Sciences, Auburn University, Auburn, AL, 36849, USA
- Alabama Advanced Imaging Consortium, Auburn University and University of Alabama Birmingham, Auburn, AL, USA
- Center for Health Ecology and Equity Research, Auburn University, Auburn, AL, USA
- Center for Neuroscience, Auburn University, Auburn, AL, USA
- School of Psychology, Capital Normal University, Beijing, China
- Key Laboratory for Learning and Cognition, Capital Normal University, Beijing, China
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Joseph O'Neill
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Jamie D Feusner
- Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, 90095, USA.
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26
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Pittenger C, Brennan BP, Koran L, Mathews CA, Nestadt G, Pato M, Phillips KA, Rodriguez CI, Simpson HB, Skapinakis P, Stein DJ, Storch EA. Specialty knowledge and competency standards for pharmacotherapy for adult obsessive-compulsive disorder. Psychiatry Res 2021; 300:113853. [PMID: 33975093 PMCID: PMC8536398 DOI: 10.1016/j.psychres.2021.113853] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 03/01/2021] [Indexed: 12/12/2022]
Abstract
Obsessive-compulsive disorder (OCD) affects approximately one person in 40 and causes substantial suffering. Evidence-based treatments can benefit many; however, optimal treatment can be difficult to access. Diagnosis is frequently delayed, and pharmacological and psychotherapeutic interventions often fail to follow evidence-based guidelines. To ameliorate this distressing situation, the International OCD Accreditation Task Force of the Canadian Institute for Obsessive-Compulsive Disorders has developed knowledge and competency standards for specialized treatments for OCD through the lifespan. These are foundational to evidence-based practice and will form the basis for upcoming ATF development of certification/accreditation programs. Here, we present specialty standards for the pharmacological treatment of adult OCD. We emphasize the importance of integrating pharmacotherapy with clear diagnosis, appreciation of complicating factors, and evidence-based cognitive behavioral therapy. Clear evidence exists to inform first- and second-line pharmacological treatments. In disease refractory to these initial efforts, multiple strategies have been investigated, but the evidence is more equivocal. These standards summarize this limited evidence to give the specialist practitioner a solid basis on which to make difficult decisions in complex cases. It is hoped that further research will lead to development of a clear, multi-step treatment algorithm to support each step in clinical decision-making.
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Affiliation(s)
- Christopher Pittenger
- Department of Psychiatry and Yale Child Study Center, Yale University School of Medicine, New Haven, CT, United States.
| | - Brian P Brennan
- Biological Psychiatry Laboratory and Obsessive-Compulsive Disorder Institute, McLean Hospital, Belmont, MA, United States; Department of Psychiatry, Harvard Medical School, Boston, MA, United States
| | - Lorrin Koran
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States
| | - Carol A Mathews
- Department of Psychiatry, University of Florida, Gainesville, FL, United States
| | - Gerald Nestadt
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Michele Pato
- Institute for Genomic Health and Department of Psychiatry, SUNY Downstate College of Medicine, Brooklyn, NY, United States
| | - Katharine A Phillips
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, and Department of Psychiatry, Weill Cornell Medical College, New York, NY, United States
| | - Carolyn I Rodriguez
- Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA, United States; Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, United States
| | - H Blair Simpson
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, United States; Office of Mental Health, Research Foundation for Mental Hygiene, New York Psychiatric Institute, New York, NY, United States
| | - Petros Skapinakis
- Department of Psychiatry, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Dan J Stein
- Department of Psychiatry and Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Eric A Storch
- Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, United States
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27
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Smaga I, Frankowska M, Filip M. N-acetylcysteine as a new prominent approach for treating psychiatric disorders. Br J Pharmacol 2021; 178:2569-2594. [PMID: 33760228 DOI: 10.1111/bph.15456] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Revised: 02/26/2021] [Accepted: 03/14/2021] [Indexed: 12/17/2022] Open
Abstract
N-acetylcysteine (NAC) is a well-known and safe mucolytic agent, also used in patients with paracetamol overdose. In addition to these effects, recent preclinical and clinical studies have shown that NAC exerts beneficial effects on different psychiatric disorders. Many potential mechanisms have been proposed to underlie the therapeutic effects of NAC, including the regulation of several neurotransmitters, oxidative homeostasis, and inflammatory mediators. In this paper, we summarize the current knowledge on the ability of NAC to ameliorate symptoms and neuropathologies related to different psychiatric disorders, including attention deficit hyperactivity disorder, anxiety, bipolar disorder, depression, obsessive-compulsive disorder, obsessive-compulsive-related disorder, posttraumatic stress disorder, and schizophrenia. Although preclinical studies have shown a positive effect of NAC on animal models of psychiatric disorders, the clinical efficacy of NAC is not fully established. NAC remains a strong candidate for adjunct treatment for many psychiatric disorders, but additional preclinical and clinical studies are needed.
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Affiliation(s)
- Irena Smaga
- Department of Drug Addiction Pharmacology, Maj Institute of Pharmacology Polish Academy of Sciences, Kraków, Poland
| | - Małgorzata Frankowska
- Department of Drug Addiction Pharmacology, Maj Institute of Pharmacology Polish Academy of Sciences, Kraków, Poland
| | - Małgorzata Filip
- Department of Drug Addiction Pharmacology, Maj Institute of Pharmacology Polish Academy of Sciences, Kraków, Poland
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Hatchondo L, Vallée A, Vallée R, Jaafari N, Maillochaud S, Naudin M, Vallée JN, Guillevin R, Guillevin C. Altered phospholipid and high-energy phosphate metabolism in the basal ganglia and thalamus of severe obsessive compulsive patients with treatment resistance: A phosphorus 31 nuclear magnetic resonance spectroscopy study. Psychiatry Res Neuroimaging 2021; 307:111217. [PMID: 33199172 DOI: 10.1016/j.pscychresns.2020.111217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 10/27/2020] [Accepted: 10/27/2020] [Indexed: 10/23/2022]
Abstract
INTRODUCTION Cerebral metabolism in obsessive-compulsive-disorder(OCD) has been the subject of numerous studies using proton magnetic resonance spectroscopy(MRS). Despite heterogeneous results, some studies have unraveled membrane turnover and energy metabolism abnormalities in different brain regions, suggesting that alterations in these processes may contribute to the pathophysiology. So far, no authors have explored phospholipids and high-energy phosphate metabolism using 31P-MRS, which allows in vivo quantification of phosphorus metabolites that are considered to be related to membrane turnover and energy metabolism. MATERIALS AND METHODS The aim of our study was to describe and compare brain metabolic changes using 31P-MRS in the striatum and the thalamus, between 23 severe OCD patients and 22 healthy controls. All subject underwent a clinical examination and a same 31P-MRS protocol. RESULTS Significantly, increased concentrations of PC, PDE,PME,GPC,PME/PCr,PDE/PCr were found in patients compared to controls in the striatum and the thalamus. PCr and tATP were decreased in the striatum. Finally, significant correlations were found in the striatum and the thalamus between illness duration and some specific measured parameters. CONCLUSION Our results showed significant modifications of the membrane and energy metabolism in the basal ganglia of severe OCD patients and suggests a link between energetic buffer and serotonin metabolism disorder.
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Affiliation(s)
- Laura Hatchondo
- I3M Laboratory, DACTIM-MIS team, Laboratoire de mathématiques Appliqués (LMA) CNRS 7348, Poitiers University, France
| | - Alexandre Vallée
- I3M Laboratory, DACTIM-MIS team, Laboratoire de mathématiques Appliqués (LMA) CNRS 7348, Poitiers University, France; University Hospital of Poitiers, 2 rue de la milétrie, 86021 Poitiers, France
| | - Rodolphe Vallée
- I3M Laboratory, DACTIM-MIS team, Laboratoire de mathématiques Appliqués (LMA) CNRS 7348, Poitiers University, France; Avicenne University hospital, Paris 13 University, AP-HP, 93009 Bobigny, France
| | - Nemat Jaafari
- Clinical Research Unit of Psychiatry - Henri Laborit Hospital, Poitiers, France; Poitiers University, France.
| | - Sylvie Maillochaud
- Clinical Research Unit of Psychiatry - Henri Laborit Hospital, Poitiers, France.
| | - Mathieu Naudin
- I3M Laboratory, DACTIM-MIS team, Laboratoire de mathématiques Appliqués (LMA) CNRS 7348, Poitiers University, France; University Hospital of Poitiers, 2 rue de la milétrie, 86021 Poitiers, France.
| | - Jean-Noël Vallée
- Amiens-Picardie University Hospital, Picardie Jules Verne (UPJV) University, Amiens, France
| | - Rémy Guillevin
- I3M Laboratory, DACTIM-MIS team, Laboratoire de mathématiques Appliqués (LMA) CNRS 7348, Poitiers University, France; University Hospital of Poitiers, 2 rue de la milétrie, 86021 Poitiers, France.
| | - Carole Guillevin
- I3M Laboratory, DACTIM-MIS team, Laboratoire de mathématiques Appliqués (LMA) CNRS 7348, Poitiers University, France; University Hospital of Poitiers, 2 rue de la milétrie, 86021 Poitiers, France.
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The effects of cognitive behavioral therapy on the whole brain structural connectome in unmedicated patients with obsessive-compulsive disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 104:110037. [PMID: 32682876 DOI: 10.1016/j.pnpbp.2020.110037] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 05/09/2020] [Accepted: 07/12/2020] [Indexed: 02/06/2023]
Abstract
Cognitive behavioral therapy (CBT) is considered a first-line treatment for patients with obsessive-compulsive disorder (OCD), and it possesses advantages over pharmacological treatments in stronger tolerance to distress, lower rates of drop out and relapse, and no physical "side-effects". Previous studies have reported CBT-related alterations in focal brain regions and connections. However, the effects of CBT on whole-brain structural networks have not yet been elucidated. Here, we collected diffusion MRI data from 34 unmedicated OCD patients before and after 12 weeks of CBT. Fifty healthy controls (HCs) were also scanned twice at matched intervals. We constructed individual brain white matter connectome and performed a graph-theoretical network analysis to investigate the effects of CBT on whole-brain structural topology. We observed significant group-by-time interactions on the global network clustering coefficient and the nodal clustering of the left lingual gyrus, the left middle temporal gyrus, the left precuneus, and the left fusiform gyrus of 26 CBT responders in OCD patients. Further analysis revealed that these CBT responders showed prominently higher global and nodal clustering compared to HCs at baseline and reduced to normal levels after CBT. Such significant changes in the nodal clustering of the left lingual gyrus were also found in 8 CBT non-responders. The pre-to-post decreases in nodal clustering of the left lingual gyrus and the left fusiform gyrus positively correlated with the improvements in obsessive-compulsive symptoms in the CBT-responding patients. These findings indicated that the network segregation of the whole-brain white matter network in OCD patients was abnormally higher and might recover to normal after CBT, which provides mechanistic insights into the CBT response in OCD and potential imaging biomarkers for clinical practice.
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Abstract
Effective pharmacological and psychotherapeutic treatments are well established for obsessive-compulsive disorder (OCD). Serotonin reuptake inhibitors (SRIs) are first-line treatment and are of benefit to about half of patients. Augmentation of SRI treatment with low-dose neuroleptics is an evidence-based second-line strategy. Specialty psychotherapy is also used as both first-line and second-line treatment and can benefit many. However, a substantial number of patients do not respond to these treatments. New alternatives are urgently needed. This review summarizes evidence for these established pharmacotherapeutic strategies, and for others that have been investigated in refractory disease but are not supported by the same level of evidence. We focus on three neurotransmitter systems in the brain: serotonin, dopamine, and glutamate. We summarize evidence from genetic, neuroimaging, animal model, and other lines of investigation that probe these three systems in patients with OCD. We also review recent work on predictors of response to current treatments. While many studies suggest abnormalities that may provide insight into the pathophysiology of the disorder, most studies have been small, and non-replication of reported findings has been common. Nevertheless, the gradual accrual of evidence for neurotransmitter dysregulation may in time lead the way to new pharmacological strategies.
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Batistuzzo MC, Sottili BA, Shavitt RG, Lopes AC, Cappi C, de Mathis MA, Pastorello B, Diniz JB, Silva RMF, Miguel EC, Hoexter MQ, Otaduy MC. Lower Ventromedial Prefrontal Cortex Glutamate Levels in Patients With Obsessive-Compulsive Disorder. Front Psychiatry 2021; 12:668304. [PMID: 34168581 PMCID: PMC8218991 DOI: 10.3389/fpsyt.2021.668304] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 04/23/2021] [Indexed: 12/31/2022] Open
Abstract
Background: Recent studies using magnetic resonance spectroscopy (1H-MRS) indicate that patients with obsessive-compulsive disorder (OCD) present abnormal levels of glutamate (Glu) and gamma aminobutyric acid (GABA) in the frontal and striatal regions of the brain. These abnormalities could be related to the hyperactivation observed in cortico-striatal circuits of patients with OCD. However, most of the previous 1H-MRS studies were not capable of differentiating the signal from metabolites that overlap in the spectrum, such as Glu and glutamine (Gln), and referred to the detected signal as the composite measure-Glx (sum of Glu and Gln). In this study, we used a two-dimensional JPRESS 1H-MRS sequence that allows the discrimination of overlapping metabolites by observing the differences in J-coupling, leading to higher accuracy in the quantification of all metabolites. Our objective was to identify possible alterations in the neurometabolism of OCD, focusing on Glu and GABA, which are key neurotransmitters in the brain that could provide insights into the underlying neurochemistry of a putative excitatory/inhibitory imbalance. Secondary analysis was performed including metabolites such as Gln, creatine (Cr), N-acetylaspartate, glutathione, choline, lactate, and myo-inositol. Methods: Fifty-nine patients with OCD and 42 healthy controls (HCs) underwent 3T 1H-MRS in the ventromedial prefrontal cortex (vmPFC, 30 × 25 × 25 mm3). Metabolites were quantified using ProFit (version 2.0) and Cr as a reference. Furthermore, Glu/GABA and Glu/Gln ratios were calculated. Generalized linear models (GLMs) were conducted using each metabolite as a dependent variable and age, sex, and gray matter fraction (fGM) as confounding factors. GLM analysis was also used to test for associations between clinical symptoms and neurometabolites. Results: The GLM analysis indicated lower levels of Glu/Cr in patients with OCD (z = 2.540; p = 0.011). No other comparisons reached significant differences between groups for all the metabolites studied. No associations between metabolites and clinical symptoms were detected. Conclusions: The decreased Glu/Cr concentrations in the vmPFC of patients with OCD indicate a neurochemical imbalance in the excitatory neurotransmission that could be associated with the neurobiology of the disease and may be relevant for the pathophysiology of OCD.
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Affiliation(s)
- Marcelo C Batistuzzo
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil.,Department of Methods and Techniques in Psychology, Pontifical Catholic University, São Paulo, Brazil
| | - Bruna A Sottili
- Laboratory of Magnetic Resonance (LIM44), Department and Institute of Radiology, University of São Paulo (InRad-FMUSP), São Paulo, Brazil
| | - Roseli G Shavitt
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Antonio C Lopes
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Carolina Cappi
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Maria Alice de Mathis
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Bruno Pastorello
- Laboratory of Magnetic Resonance (LIM44), Department and Institute of Radiology, University of São Paulo (InRad-FMUSP), São Paulo, Brazil
| | - Juliana B Diniz
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Renata M F Silva
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Euripedes C Miguel
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil
| | - Marcelo Q Hoexter
- Department & Institute of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil.,Laboratório Interdisciplinar de Neurociências Clínicas (LiNC), Universidade Federal de São Paulo (UNIFESP), São Paulo, Brazil
| | - Maria C Otaduy
- Laboratory of Magnetic Resonance (LIM44), Department and Institute of Radiology, University of São Paulo (InRad-FMUSP), São Paulo, Brazil
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Biria M, Cantonas LM, Banca P. Magnetic Resonance Spectroscopy (MRS) and Positron Emission Tomography (PET) Imaging in Obsessive-Compulsive Disorder. Curr Top Behav Neurosci 2021; 49:231-268. [PMID: 33751502 DOI: 10.1007/7854_2020_201] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022]
Abstract
Obsessive-compulsive disorder (OCD) is characterised by structural and functional deficits in the cortico-striato-thalamic-cortical (CSTC) circuitry and abnormal neurochemical changes are thought to modulate these deficits. The hypothesis that an imbalanced concentration of the brain neurotransmitters, in particular glutamate (Glu) and gamma-amino-butyric acid (GABA), could impair the normal functioning of the CSTC, thus leading to OCD symptoms, has been tested in humans using magnetic resonance spectroscopy (MRS) and positron emission tomography (PET). This chapter summarises these neurochemical findings and represents an attempt to condense such scattered literature. We also discuss potential challenges in the field that may explain the inconsistent findings and suggest ways to overcome them. There is some convergent research from MRS pointing towards abnormalities in the brain concentration of neurometabolite markers of neuronal integrity, such as N-acetylaspartate (NAA) and choline (Cho). Lower NAA levels have been found in dorsal and rostral ACC of OCD patients (as compared to healthy volunteers), which increase after CBT and SSRI treatment, and higher Cho concentration has been reported in the thalamus of the OCD brain. However, findings for other neurometabolites are very inconsistent. Studies have reported abnormalities in the concentrations of creatine (Cr), GABA, glutamate (Glu), glutamine (Gln), Ins (myo-inositol), and serotonin (5-HT), but most of the results were not replicated. The question remains whether the NAA and Cho findings are genuinely the only neurochemical abnormalities in OCD or whether the lack of consistent findings for the other neurometabolites is caused by the lower magnetic field (1-3 Tesla (T)) used by the studies conducted so far, their small sample sizes or a lack of proper control for medication effects. To answer these questions and to further inform the biological underpinning of the symptoms and the cognitive problems at the basis of OCD we need better controlled studies using clear medicated vs unmedicated groups, larger sample sizes, stronger magnetic fields (e.g. at 7 T), and more consistency in the definition of the regions of interest.
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Affiliation(s)
- Marjan Biria
- Department of Psychology, University of Cambridge, Cambridge, UK.
| | | | - Paula Banca
- Department of Psychology, University of Cambridge, Cambridge, UK
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Abstract
Obsessive-compulsive disorder (OCD) is a common, chronic, and oftentimes disabling disorder. The only established first-line treatments for OCD are exposure and response prevention, and serotonin reuptake inhibitor medications (SRIs). However, a subset of patients fails to respond to either modality, and few experience complete remission. Beyond SRI monotherapy, antipsychotic augmentation is the only medication approach for OCD with substantial empirical support. Our incomplete understanding of the neurobiology of OCD has hampered efforts to develop new treatments or enhance extant interventions. This review focuses on several promising areas of research that may help elucidate the pathophysiology of OCD and advance treatment. Multiple studies support a significant genetic contribution to OCD, but pinpointing the specific genetic determinants requires additional investigation. The preferential efficacy of SRIs in OCD has neither led to discovery of serotonergic abnormalities in OCD nor to development of new serotonergic medications for OCD. Several lines of preclinical and clinical evidence suggest dysfunction of the glutamatergic system in OCD, prompting testing of several promising glutamate modulating agents. Functional imaging studies in OCD show consistent evidence for increased activity in brain regions that form a cortico-striato-thalamo-cortical (CSTC) loop. Neuromodulation treatments with either noninvasive devices (e.g., transcranial magnetic stimulation) or invasive procedures (e.g., deep brain stimulation) provide further support for the CSTC model of OCD. A common substrate for various interventions (whether drug, behavioral, or device) may be modulation (at different nodes or connections) of the CSTC circuit that mediates the symptoms of OCD.
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Affiliation(s)
- Wayne K. Goodman
- Menninger Department of Psychiatry and Behavioral Sciences (all authors) and Department of Neurosurgery (Sheth), Baylor College of Medicine, Houston
| | - Eric A. Storch
- Menninger Department of Psychiatry and Behavioral Sciences (all authors) and Department of Neurosurgery (Sheth), Baylor College of Medicine, Houston
| | - Sameer A. Sheth
- Menninger Department of Psychiatry and Behavioral Sciences (all authors) and Department of Neurosurgery (Sheth), Baylor College of Medicine, Houston
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Yue J, Zhong S, Luo A, Lai S, He T, Luo Y, Wang Y, Zhang Y, Shen S, Huang H, Wen S, Jia Y. Correlations Between Working Memory Impairment and Neurometabolites of the Prefrontal Cortex in Drug-Naive Obsessive-Compulsive Disorder. Neuropsychiatr Dis Treat 2021; 17:2647-2657. [PMID: 34421300 PMCID: PMC8373305 DOI: 10.2147/ndt.s296488] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 07/12/2021] [Indexed: 01/06/2023] Open
Abstract
PURPOSE This study aimed to investigate the mechanism of working memory (WM) impairment in drug-naive obsessive-compulsive disorder (OCD) by using neuropsychological tests and proton magnetic resonance spectroscopy (1H-MRS). PATIENTS AND METHODS A total of 55 patients with drug-naive OCD and 55 healthy controls (HCs) were recruited for this study. The working memory (WM) was evaluated using the digit span test (DST), visual space memory test (VSMT), and the 2-back task and stroop color word test (SCWT). The bilateral metabolite levels of the prefrontal cortex (PFC) were evaluated by 1H-MRS, then determined the ratios of N-acetyl aspartate (NAA), choline-containing compounds (Cho), and myo-inositol (MI) to creatine (Cr). The independent sample t-test was used to analyse the differences in WM performance and neurometabolite ratios. Multivariate linear regression analysis was performed to screen the influential factors of WM, with an introduction level of 0.05 and a rejection level of 0.10. RESULTS 1) Patients with OCD performed significantly worse on DST (score), VSMT (score), 2-back task (accuracy rate), SCWT (execution time) when compared with HCs. 2) NAA/Cr and Cho/Cr in the left PFC (lPFC) and MI/Cr ratios in the bilateral PFC of OCD patients were significantly lower when compared to HCs. 3) For OCD patients, the NAA/Cr ratio in the lPFC was negatively correlated with the score of DST (forwards), the Cho/Cr ratio in the lPFC was positively correlated with the accuracy rate of 2-back task, and the MI/Cr ratio in the right PFC (rPFC) was positively correlated with the score of DST (forwards) and the accuracy rate of VSMT. We also found that the compulsive symptoms showed a positive correlation with MI/Cr ratio of the rPFC. CONCLUSION Drug-naive OCD patients have demonstrated WM impairments, including phonological loop, visual-spatial sketchpad and central executive system, and the WM impairments might be associated with hypometabolism in the PFC, especially the lPFC.
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Affiliation(s)
- Jihui Yue
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China.,Department of Psychiatry, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, People's Republic of China
| | - Shuming Zhong
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Aimin Luo
- Department of Psychology, Guangdong Sanjiu Brain Hospital, Guangzhou, Guangdong Province, People's Republic of China
| | - Shunkai Lai
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Tingting He
- School of Management, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Yuchong Luo
- Department of Psychiatry, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, People's Republic of China
| | - Ying Wang
- Medical Imaging Center, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Yiliang Zhang
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Shiyi Shen
- School of Management, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Hui Huang
- School of Management, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
| | - Shenglin Wen
- Department of Psychiatry, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, People's Republic of China
| | - Yanbin Jia
- Department of Psychiatry, First Affiliated Hospital, Jinan University, Guangzhou, Guangdong Province, People's Republic of China
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Dong MX, Chen GH, Hu L. Dopaminergic System Alteration in Anxiety and Compulsive Disorders: A Systematic Review of Neuroimaging Studies. Front Neurosci 2020; 14:608520. [PMID: 33343291 PMCID: PMC7744599 DOI: 10.3389/fnins.2020.608520] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 10/30/2020] [Indexed: 12/16/2022] Open
Abstract
Objective: The dopaminergic system is involved in many psychiatric disorders as a GABAergic, serotonergic, and glutamatergic system. A systematic review and meta-analysis was performed to elucidate the alteration of the dopaminergic system in anxiety and compulsive disorders. Methods: The databases of Pubmed, Embase, and ScienceDirect were searched and articles reporting the involvement of the dopaminergic system in patients with anxiety disorder and obsessive compulsive disorder (OCD) were recognized. The key research data were extracted from the included articles and standardized mean differences were calculated using meta-analyses if there were more than two studies with obtainable data. Sensitivity analyses were further performed to detect the stability of results, and the qualities of all the included studies were assessed using the Newcastle Ottawa scale. Results: Finally, we identified 8 and 11 studies associated with anxiety disorder and OCD for further analysis, respectively. Most consistently, the striatal dopamine D2 receptor (D2R) of OCD patients had decreased while no significant correlation was found between striatal D2R and disease severity. The striatal dopamine transporter (DAT) had not been significantly altered in both the anxiety disorder and OCD patients. The heterogeneity values from the meta-analyses were extremely high while those results remained stable after sensitivity analyses. Inconsistent data were found in the striatal D2R of patients with anxiety disorder. Limited data had suggested that dopamine synthesis increased in most regions of the cerebral cortex and cerebellum in OCD patients. Conclusions: The most convincing finding was that the D2 receptor decreased in patients with obsessive compulsive disorder. The dopamine transporter may have no relationship with anxiety and compulsive disorder.
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Affiliation(s)
- Mei-Xue Dong
- Department of Neurology, Hubei General Hospital, Renmin Hospital of Wuhan University, Wuhan, China
| | - Guang-Hui Chen
- Department of Pharmacy, Hubei General Hospital, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ling Hu
- Department of Neurology, Hubei General Hospital, Renmin Hospital of Wuhan University, Wuhan, China
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Zhang YD, Dong Z, Wang SH, Yu X, Yao X, Zhou Q, Hu H, Li M, Jiménez-Mesa C, Ramirez J, Martinez FJ, Gorriz JM. Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation. AN INTERNATIONAL JOURNAL ON INFORMATION FUSION 2020; 64:149-187. [PMID: 32834795 PMCID: PMC7366126 DOI: 10.1016/j.inffus.2020.07.006] [Citation(s) in RCA: 151] [Impact Index Per Article: 30.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/06/2020] [Accepted: 07/14/2020] [Indexed: 05/13/2023]
Abstract
Multimodal fusion in neuroimaging combines data from multiple imaging modalities to overcome the fundamental limitations of individual modalities. Neuroimaging fusion can achieve higher temporal and spatial resolution, enhance contrast, correct imaging distortions, and bridge physiological and cognitive information. In this study, we analyzed over 450 references from PubMed, Google Scholar, IEEE, ScienceDirect, Web of Science, and various sources published from 1978 to 2020. We provide a review that encompasses (1) an overview of current challenges in multimodal fusion (2) the current medical applications of fusion for specific neurological diseases, (3) strengths and limitations of available imaging modalities, (4) fundamental fusion rules, (5) fusion quality assessment methods, and (6) the applications of fusion for atlas-based segmentation and quantification. Overall, multimodal fusion shows significant benefits in clinical diagnosis and neuroscience research. Widespread education and further research amongst engineers, researchers and clinicians will benefit the field of multimodal neuroimaging.
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Affiliation(s)
- Yu-Dong Zhang
- School of Informatics, University of Leicester, Leicester, LE1 7RH, Leicestershire, UK
- Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Zhengchao Dong
- Department of Psychiatry, Columbia University, USA
- New York State Psychiatric Institute, New York, NY 10032, USA
| | - Shui-Hua Wang
- Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- School of Architecture Building and Civil engineering, Loughborough University, Loughborough, LE11 3TU, UK
- School of Mathematics and Actuarial Science, University of Leicester, LE1 7RH, UK
| | - Xiang Yu
- School of Informatics, University of Leicester, Leicester, LE1 7RH, Leicestershire, UK
| | - Xujing Yao
- School of Informatics, University of Leicester, Leicester, LE1 7RH, Leicestershire, UK
| | - Qinghua Zhou
- School of Informatics, University of Leicester, Leicester, LE1 7RH, Leicestershire, UK
| | - Hua Hu
- Department of Psychiatry, Columbia University, USA
- Department of Neurology, The Second Affiliated Hospital of Soochow University, China
| | - Min Li
- Department of Psychiatry, Columbia University, USA
- School of Internet of Things, Hohai University, Changzhou, China
| | - Carmen Jiménez-Mesa
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain
| | - Javier Ramirez
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain
| | - Francisco J Martinez
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain
| | - Juan Manuel Gorriz
- Department of Signal Theory, Networking and Communications, University of Granada, Granada, Spain
- Department of Psychiatry, University of Cambridge, Cambridge CB21TN, UK
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Lustberg D, Iannitelli AF, Tillage RP, Pruitt M, Liles LC, Weinshenker D. Central norepinephrine transmission is required for stress-induced repetitive behavior in two rodent models of obsessive-compulsive disorder. Psychopharmacology (Berl) 2020; 237:1973-1987. [PMID: 32313981 PMCID: PMC7961804 DOI: 10.1007/s00213-020-05512-0] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Accepted: 03/26/2020] [Indexed: 02/06/2023]
Abstract
RATIONALE Obsessive-compulsive disorder (OCD) is characterized by repetitive behaviors exacerbated by stress. Many OCD patients do not respond to available pharmacotherapies, but neurosurgical ablation of the anterior cingulate cortex (ACC) can provide symptomatic relief. Although the ACC receives noradrenergic innervation and expresses adrenergic receptors (ARs), the involvement of norepinephrine (NE) in OCD has not been investigated. OBJECTIVE To determine the effects of genetic or pharmacological disruption of NE neurotransmission on marble burying (MB) and nestlet shredding (NS), two animal models of OCD. METHODS We assessed NE-deficient (Dbh -/-) mice and NE-competent (Dbh +/-) controls in MB and NS tasks. We also measured the effects of anti-adrenergic drugs on NS and MB in control mice and the effects of pharmacological restoration of central NE in Dbh -/- mice. Finally, we compared c-fos induction in the locus coeruleus (LC) and ACC of Dbh -/- and control mice following both tasks. RESULTS Dbh -/- mice virtually lacked MB and NS behaviors seen in control mice but did not differ in the elevated zero maze (EZM) model of general anxiety-like behavior. Pharmacological restoration of central NE synthesis in Dbh -/- mice completely rescued NS behavior, while NS and MB were suppressed in control mice by anti-adrenergic drugs. Expression of c-fos in the ACC was attenuated in Dbh -/- mice after MB and NS. CONCLUSION These findings support a role for NE transmission to the ACC in the expression of stress-induced compulsive behaviors and suggest further evaluation of anti-adrenergic drugs for OCD is warranted.
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Affiliation(s)
- Daniel Lustberg
- Department of Human Genetics, Emory University School of Medicine, 615 Michael St., Whitehead 301, Atlanta, GA, 30322, USA
| | - Alexa F Iannitelli
- Department of Human Genetics, Emory University School of Medicine, 615 Michael St., Whitehead 301, Atlanta, GA, 30322, USA
| | - Rachel P Tillage
- Department of Human Genetics, Emory University School of Medicine, 615 Michael St., Whitehead 301, Atlanta, GA, 30322, USA
| | - Molly Pruitt
- University of Maryland School of Medicine, Baltimore, MD, 21201, USA
| | - L Cameron Liles
- Department of Human Genetics, Emory University School of Medicine, 615 Michael St., Whitehead 301, Atlanta, GA, 30322, USA
| | - David Weinshenker
- Department of Human Genetics, Emory University School of Medicine, 615 Michael St., Whitehead 301, Atlanta, GA, 30322, USA.
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38
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Dong C, Yang Q, Liang J, Seger CA, Han H, Ning Y, Chen Q, Peng Z. Impairment in the goal-directed corticostriatal learning system as a biomarker for obsessive-compulsive disorder. Psychol Med 2020; 50:1490-1500. [PMID: 31272523 DOI: 10.1017/s0033291719001429] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Compulsive behaviors in obsessive-compulsive disorder (OCD) have been related to impairment within the associative cortical-striatal system connecting the caudate and prefrontal cortex that underlies consciously-controlled goal-directed learning and behavior. However, little is known whether this impairment may serve as a biomarker for vulnerability to OCD. METHODS Using resting-state functional magnetic resonance imaging (fMRI), we employed Granger causality analysis (GCA) to measure effective connectivity (EC) in previously validated striatal sub-regions, including the caudate, putamen, and the nucleus accumbens, in 35 OCD patients, 35 unaffected first-degree relatives and 35 matched healthy controls. RESULTS Both OCD patients and their first-degree relatives showed greater EC than controls between the left caudate and the orbital frontal cortex (OFC). Both OCD patients and their first-degree relatives showed lower EC than controls between the left caudate and lateral prefrontal cortex. These results are consistent with findings from task-related fMRI studies which found impairment in the goal-directed system in OCD patients. CONCLUSIONS The same changes in EC were present in both OCD patients and their unaffected first-degree relatives suggest that impairment in the goal-directed learning system may be a biomarker for OCD.
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Affiliation(s)
- Chenjie Dong
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
| | - Qiong Yang
- Southern Medical University, Guangzhou, China
- Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Jingjing Liang
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
| | - Carol A Seger
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
- Department of Psychology, Colorado State University, CO, USA
| | - Hongying Han
- Department of Psychiatry, the Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Yuping Ning
- Southern Medical University, Guangzhou, China
- Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Qi Chen
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
| | - ZiWen Peng
- Center for the Study of Applied Psychology, Guangdong Key Laboratory of Mental Health and Cognitive Science and School of Psychology, South China Normal University, Guangzhou, China
- Department of Child Psychiatry, Shenzhen Kangning Hospital, Shenzhen University School of Medicine, Shenzhen, China
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39
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Abstract
In neuroimaging research, averaging data at the level of the group results in blurring of potentially meaningful individual differences. A more widespread use of an individual-specific approach is advocated for, which involves a more thorough investigation of each individual in a group, and characterization of idiosyncrasies at the level of behavior, cognition, and symptoms, as well as at the level of brain organization. It is hoped that such an approach, focused on individuals, will provide convergent findings that will help identify the underlying pathologic condition in various psychiatric disorders and help in the development of treatments individualized for each patient.
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Affiliation(s)
- Hesheng Liu
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Suite 2301, Charlestown, MA 02129, USA.
| | - William J Liu
- Department of Neuroscience, Grossman Institute of Neurobiology, The College, University of Chicago, 5812 South Ellis Avenue, MC 0912, Suite P-400, Chicago, IL 60637, USA
| | - Danhong Wang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Suite 2301, Charlestown, MA 02129, USA
| | - Louisa Dahmani
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Suite 2301, Charlestown, MA 02129, USA
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40
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Vanes LD, Moutoussis M, Ziegler G, Goodyer IM, Fonagy P, Jones PB, Bullmore ET, Dolan RJ. White matter tract myelin maturation and its association with general psychopathology in adolescence and early adulthood. Hum Brain Mapp 2019; 41:827-839. [PMID: 31661180 PMCID: PMC7268015 DOI: 10.1002/hbm.24842] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Revised: 09/30/2019] [Accepted: 10/14/2019] [Indexed: 12/12/2022] Open
Abstract
Adolescence is a time period associated with marked brain maturation that coincides with an enhanced risk for onset of psychiatric disorder. White matter tract myelination, a process that continues to unfold throughout adolescence, is reported to be abnormal in several psychiatric disorders. Here, we ask whether psychiatric vulnerability is linked to aberrant developmental myelination trajectories. We assessed a marker of myelin maturation, using magnetisation transfer (MT) imaging, in 10 major white matter tracts. We then investigated its relationship to the expression of a general psychopathology "p-factor" in a longitudinal analysis of 293 healthy participants between the ages of 14 and 24. We observed significant longitudinal MT increase across the full age spectrum in anterior thalamic radiation, hippocampal cingulum, dorsal cingulum and superior longitudinal fasciculus. MT increase in the inferior fronto-occipital fasciculus, inferior longitudinal fasciculus and uncinate fasciculus was pronounced in younger participants but levelled off during the transition into young adulthood. Crucially, longitudinal MT increase in dorsal cingulum and uncinate fasciculus decelerated as a function of mean p-factor scores over the study period. This suggests that an increased expression of psychopathology is closely linked to lower rates of myelin maturation in selective brain tracts over time. Impaired myelin growth in limbic association fibres may serve as a neural marker for emerging mental illness during the course of adolescence and early adulthood.
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Affiliation(s)
- Lucy D Vanes
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK.,Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Michael Moutoussis
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK.,Wellcome Centre for Human Neuroimaging, University College London, London, UK
| | - Gabriel Ziegler
- Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany
| | - Ian M Goodyer
- Department of Psychiatry, University of Cambridge Clinical School, Cambridge, UK
| | - Peter Fonagy
- Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Peter B Jones
- Department of Psychiatry, University of Cambridge Clinical School, Cambridge, UK
| | - Edward T Bullmore
- Department of Psychiatry, University of Cambridge Clinical School, Cambridge, UK
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- Department of Psychiatry, University of Cambridge Clinical School, Cambridge, UK
| | - Raymond J Dolan
- Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, UK.,Wellcome Centre for Human Neuroimaging, University College London, London, UK
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41
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Neural circuits in goal-directed and habitual behavior: Implications for circuit dysfunction in obsessive-compulsive disorder. Neurochem Int 2019; 129:104464. [DOI: 10.1016/j.neuint.2019.104464] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Revised: 04/11/2019] [Accepted: 05/09/2019] [Indexed: 01/04/2023]
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42
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Gao J, Zhou Y, Yang X, Luo J, Meng F, Zheng D, Li Z. Abnormalities within and beyond the cortico-striato-thalamo-cortical circuitry in medication-free patients with OCD revealed by the fractional amplitude of low-frequency fluctuations and resting-state functional connectivity. Neurosci Lett 2019; 712:134449. [PMID: 31470044 DOI: 10.1016/j.neulet.2019.134449] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/24/2019] [Accepted: 08/21/2019] [Indexed: 12/30/2022]
Abstract
Neuroimaging studies of obsessive-compulsive disorder (OCD) often focus on the cortico-striato-thalamo-cortical (CSTC) circuitry, but recent studies have found abnormal spontaneous brain activity in regions outside the CSTC circuitry in patients with OCD using resting-state functional magnetic resonance imaging. Researchers have not clearly determined whether changes in spontaneous brain activity within and beyond the CSTC circuitry coexist in medication-free patients with OCD. To address this question, we recruited 64 medication-free patients with OCD and 60 matched healthy controls (HCs) to investigate their spontaneous brain activity by measuring the fractional amplitude of low-frequency fluctuation (fALFF) and resting-state functional connectivity. Patients with OCD showed increased fALFF values in the left dorsolateral prefrontal cortex (DLPFC) and decreased fALFF values in the right rolandic operculum compared with HCs. Furthermore, patients with OCD exhibited significantly increased functional connectivity between the left DLPFC and the left cerebellum and reduced negative functional connectivity between the right rolandic operculum and the left precuneus. These findings provided new insights into the pathophysiological model of OCD, which may include CSTC circuitry and regions outside this circuitry.
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Affiliation(s)
- Jian Gao
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China
| | - Yuan Zhou
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China
| | - Xiangyun Yang
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China
| | - Jia Luo
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China
| | - Fanqiang Meng
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China
| | - Dang Zheng
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing, PR China; Department of Psychology, University of Chinese Academy of Sciences, Beijing, PR China; Magnetic Resonance Imaging Research Center, Institute of Psychology, Chinese Academy of Sciences, Beijing, PR China
| | - Zhanjiang Li
- The National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, PR China; Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, PR China.
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43
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Stein DJ, Costa DLC, Lochner C, Miguel EC, Reddy YCJ, Shavitt RG, van den Heuvel OA, Simpson HB. Obsessive-compulsive disorder. Nat Rev Dis Primers 2019; 5:52. [PMID: 31371720 PMCID: PMC7370844 DOI: 10.1038/s41572-019-0102-3] [Citation(s) in RCA: 381] [Impact Index Per Article: 63.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/27/2019] [Indexed: 12/15/2022]
Abstract
Obsessive-compulsive disorder (OCD) is a highly prevalent and chronic condition that is associated with substantial global disability. OCD is the key example of the 'obsessive-compulsive and related disorders', a group of conditions which are now classified together in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and the International Classification of Diseases, 11th Revision, and which are often underdiagnosed and undertreated. In addition, OCD is an important example of a neuropsychiatric disorder in which rigorous research on phenomenology, psychobiology, pharmacotherapy and psychotherapy has contributed to better recognition, assessment and outcomes. Although OCD is a relatively homogenous disorder with similar symptom dimensions globally, individualized assessment of symptoms, the degree of insight, and the extent of comorbidity is needed. Several neurobiological mechanisms underlying OCD have been identified, including specific brain circuits that underpin OCD. In addition, laboratory models have demonstrated how cellular and molecular dysfunction underpins repetitive stereotyped behaviours, and the genetic architecture of OCD is increasingly understood. Effective treatments for OCD include serotonin reuptake inhibitors and cognitive-behavioural therapy, and neurosurgery for those with intractable symptoms. Integration of global mental health and translational neuroscience approaches could further advance knowledge on OCD and improve clinical outcomes.
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Affiliation(s)
- Dan J Stein
- Department of Psychiatry, University of Cape Town and SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa.
| | - Daniel L C Costa
- OCD Research Program, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Christine Lochner
- Department of Psychiatry, Stellenbosch University and SA MRC Unit on Risk & Resilience in Mental Disorders, Stellenbosch, South Africa
| | - Euripedes C Miguel
- OCD Research Program, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Y C Janardhan Reddy
- Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Roseli G Shavitt
- OCD Research Program, Instituto de Psiquiatria, Hospital das Clinicas, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil
| | - Odile A van den Heuvel
- Department of Psychiatry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - H Blair Simpson
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, NY, USA
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44
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de Salles Andrade JB, Ferreira FM, Suo C, Yücel M, Frydman I, Monteiro M, Vigne P, Fontenelle LF, Tovar-Moll F. An MRI Study of the Metabolic and Structural Abnormalities in Obsessive-Compulsive Disorder. Front Hum Neurosci 2019; 13:186. [PMID: 31333428 PMCID: PMC6620433 DOI: 10.3389/fnhum.2019.00186] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Accepted: 05/21/2019] [Indexed: 01/28/2023] Open
Abstract
Obsessive-compulsive disorder (OCD) is a neuropsychiatric illness characterized by obsessions and/or compulsions. Its pathophysiology is still not well understood but it is known that the cortico-striatal-thalamic-cortical (CSTC) circuitry plays an important role. Here, we used a multi-method MRI approach combining proton magnetic resonance spectroscopy (H1-MRS) and diffusion tensor imaging (DTI) techniques to investigate both the metabolic and the microstructural white matter (WM) changes of the anterior cingulate cortex (ACC) in OCD patients as compared to healthy controls. Twenty-three OCD patients and 21 age-, sex-, and education-matched healthy volunteers participated in the study. Our 1H-MRS findings show increased levels of Glx in ACC in OCD. Further, significantly lower fractional anisotropy (FA) values were observed in OCD patients’ left cingulate bundle (CB) as compared to healthy controls. Finally, there was a negative correlation between FA in the left CB and level of obsessions, as well as the duration of the illness. Our findings reinforce the involvement of CSTC bundles in pathophysiology of OCD, pointing to a specific role of glutamate (glutamine) and WM integrity.
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Affiliation(s)
- Juliana B de Salles Andrade
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Institute of Biomedical Sciences (ICB), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Chao Suo
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Murat Yücel
- Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia
| | - Ilana Frydman
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Marina Monteiro
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil
| | - Paula Vigne
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Leonardo F Fontenelle
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Turner Institute for Brain and Mental Health and School of Psychological Sciences, Monash University, Clayton, VIC, Australia.,Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
| | - Fernanda Tovar-Moll
- D'Or Institute for Research and Education (IDOR), Rio de Janeiro, Brazil.,Institute of Biomedical Sciences (ICB), Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
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45
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Li Y, Zhang CC, Kathrin Weidacker, Zhang Y, He N, Jin H, Chen W, Voon V, Edden RAE, Yan F. Investigation of anterior cingulate cortex gamma-aminobutyric acid and glutamate-glutamine levels in obsessive-compulsive disorder using magnetic resonance spectroscopy. BMC Psychiatry 2019; 19:164. [PMID: 31146727 PMCID: PMC6543571 DOI: 10.1186/s12888-019-2160-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 05/23/2019] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Obsessive-compulsive disorder (OCD) is a relatively common and disabling psychiatric disorder whose pathophysiology is incompletely understood. In this study, we utilized magnetic resonance spectroscopy (MRS) in an effort to provide a better understanding of the role of brain gamma-aminobutyric acid (GABA) and glutamate in the pathophysiology of OCD. We hypothesized that beyond the separate effects of these neurotransmitter systems, a disruption in the balance between GABA and glutamate could be particularly relevant to OCD. METHODS We obtained MRS measures of GABA and glutamate concentrations in the anterior cingulate cortex from 23 adult patients with OCD and 20 sex- and age-matched healthy community volunteers. Established clinical rating scales were used to assess the severities of OCD, anxiety, and depression symptoms. Statistical analysis involved the assessment of patient-control group differences in the individual measures of GABA and glutamate, as well as in the ratio of the GABA to glutamate measures. Additionally, we explored whether differences in the MRS measures existed between two subgroups of patients formed according to the severity of their OCD symptoms. Finally, we assessed the relations of demographic and clinical variables to the MRS measures. RESULTS Patients with OCD displayed a higher estimated GABA level and a higher GABA to glutamate ratio than healthy participants, but no significant group differences were observed in the measure of glutamate. The MRS measures did not vary by subgroup and showed no correlations with demographic and clinical variables. CONCLUSIONS These results indicate that GABA abnormalities within the anterior cingulate cortex contribute to the pathophysiology of OCD. The results fail to provide evidence that glutamate abnormalities alone are involved in adult OCD. Yet, it seems that a disruption in the balance between glutamate and GABA neurotransmission may have a particularly important role to play in OCD pathophysiology.
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Affiliation(s)
- Yan Li
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Chen Cheng Zhang
- Department of Functional Neurosurgery, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
| | | | - Yingying Zhang
- Department of Functional Neurosurgery, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Haiyan Jin
- Department of Psychiatry, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
| | | | - Valerie Voon
- Department of Psychiatry, University of Cambridge, Cambridge, UK
| | - Richard A E Edden
- Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
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46
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Robbins TW, Vaghi MM, Banca P. Obsessive-Compulsive Disorder: Puzzles and Prospects. Neuron 2019; 102:27-47. [PMID: 30946823 DOI: 10.1016/j.neuron.2019.01.046] [Citation(s) in RCA: 289] [Impact Index Per Article: 48.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 01/11/2019] [Accepted: 01/18/2019] [Indexed: 02/02/2023]
Abstract
Obsessive-compulsive disorder is a severe and disabling psychiatric disorder that presents several challenges for neuroscience. Recent advances in its genetic and developmental causation, as well as its neuropsychological basis, are reviewed. Hypotheses concerning an imbalance between goal-directed and habitual behavior together with neural correlates in cortico-striatal circuitry are evaluated and contrasted with metacognitive theories. Treatments for obsessive-compulsive disorder (OCD) tend to be of mixed efficacy but include psychological, pharmacological, and surgical approaches, the underlying mechanisms of which are still under debate. Overall, the prospects for new animal models and an integrated understanding of the pathophysiology of OCD are considered in the context of dimensional psychiatry.
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Affiliation(s)
- Trevor W Robbins
- Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK.
| | - Matilde M Vaghi
- Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK.
| | - Paula Banca
- Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge, Cambridge CB2 3EB, UK.
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47
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Abnormal repetitive behaviors in zebrafish and their relevance to human brain disorders. Behav Brain Res 2019; 367:101-110. [PMID: 30926483 DOI: 10.1016/j.bbr.2019.03.044] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 03/22/2019] [Accepted: 03/25/2019] [Indexed: 02/01/2023]
Abstract
Abnormal repetitive behaviors (ARBs) are a prominent symptom of numerous human brain disorders and are commonly seen in rodent models as well. While rodent studies of ARBs continue to dominate the field, mounting evidence suggests that zebrafish (Danio rerio) also display ARB-like phenotypes and may therefore be a novel model organism for ARB research. In addition to clear practical research advantages as a model species, zebrafish share high genetic and physiological homology to humans and rodents, including multiple ARB-related genes and robust behaviors relevant to ARB. Here, we discuss a wide spectrum of stereotypic repetitive behaviors in zebrafish, data on their genetic and pharmacological modulation, and the overall translational relevance of fish ARBs to modeling human brain disorders. Overall, the zebrafish is rapidly emerging as a new promising model to study ARBs and their underlying mechanisms.
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48
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Chen Y, Meng Z, Zhang Z, Zhu Y, Gao R, Cao X, Tan L, Wang Z, Zhang H, Li Y, Fan Q. The right thalamic glutamate level correlates with functional connectivity with right dorsal anterior cingulate cortex/middle occipital gyrus in unmedicated obsessive-compulsive disorder: A combined fMRI and 1H-MRS study. Aust N Z J Psychiatry 2019; 53:207-218. [PMID: 30354192 DOI: 10.1177/0004867418806370] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE The imbalance in neurotransmitter and neuronal metabolite concentration within cortico-striato-thalamo-cortical (CSTC) circuit contributes to obsessive-compulsive disorder's (OCD) onset. Previous studies showed that glutamate mediated upregulation of resting-state activity in healthy people. However, there have been few studies investigating the correlational features between functional and neurochemical alterations in OCD. METHODS We utilize a combined resting-state functional magnetic resonance imaging (rs-fMRI) and proton magnetic resonance spectroscopy (1H-MRS) approach to investigate the altered functional connectivity (FC) in association with glutamatergic dysfunction in OCD pathophysiology. Three regions of interest are investigated, i.e., medial prefrontal cortex and bilateral thalamus, for seed-based whole-brain FC analysis as well as MRS data acquisition. There are 23 unmedicated adult OCD patients and 23 healthy controls recruited for brain FC analysis. Among them, 12 OCD and 8 controls are performed MRS data acquisition. RESULTS Besides abnormal FC within CSTC circuit, we also find altered FCs in large-scale networks outside CSTC circuit, including occipital area and limbic and motor systems. The decreased FC between right thalamus and right middle occipital gyrus (MOG) is correlated with glutamatergic signal within right thalamus in OCD patients. Moreover, the FC between right thalamus and right dorsal anterior cingulate cortex (dACC) is associated with glutamate level in right thalamus, specifically in patient's group. Finally, the FC between right thalamus and right MOG is correlated with patient's Yale-Brown Obsessive Compulsive Scale (YBOCS) compulsion and total scores, while the right thalamic glutamatergic signal is associated with YBOCS-compulsion score. CONCLUSION Our findings showed that the coupled intrinsic functional-biochemical alterations existed both within CSTC circuit and from CSTC to occipital lobe in OCD pathophysiology.
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Affiliation(s)
- Yongjun Chen
- 1 Rehabilitation Department, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,2 Department of Developmental Behavioral Pediatric and Children Healthcare, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ziyu Meng
- 3 School of Biomedical Engineering and Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China
| | - Zongfeng Zhang
- 1 Rehabilitation Department, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yajing Zhu
- 3 School of Biomedical Engineering and Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China
| | - Rui Gao
- 1 Rehabilitation Department, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xuan Cao
- 1 Rehabilitation Department, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ling Tan
- 4 Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhen Wang
- 1 Rehabilitation Department, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haiyin Zhang
- 1 Rehabilitation Department, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yao Li
- 3 School of Biomedical Engineering and Institute for Medical Imaging Technology, Shanghai Jiao Tong University, Shanghai, China
| | - Qing Fan
- 1 Rehabilitation Department, Shanghai Mental Health Centre, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Kraal AZ, Arvanitis NR, Jaeger AP, Ellingrod VL. Could Dietary Glutamate Play a Role in Psychiatric Distress? Neuropsychobiology 2019; 79:13-19. [PMID: 30699435 PMCID: PMC6667320 DOI: 10.1159/000496294] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 12/18/2018] [Indexed: 12/15/2022]
Abstract
Glutamate is an amino acid that functions as an excitatory neurotransmitter. It has also been associated with somatic and psychiatric distress and is implicated in the pathophysiology of psychiatric disorders such as schizophrenia. Ingestion of dietary glutamate, such as monosodium glutamate (MSG), has been mechanistically linked with greater distress among patients with chronic pain conditions, though findings have been equivocal. Preliminary research suggests that an MSG-restricted diet confers beneficial effects on somatic symptoms and well-being for some individuals with chronic pain conditions. In addition to associations with somatic distress, glutamate has been associated with the onset and progression of psychiatric symptoms. Thus, the role of dietary glutamate in psychiatric distress represents an underdeveloped and potentially important area for future research aimed at clarifying pathophysiological mechanisms and identifying targets for dietary intervention in psychiatric illnesses.
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Affiliation(s)
- A. Zarina Kraal
- University of Michigan, Department of Psychology, Ann Arbor, MI, USA,University of Michigan, College of Pharmacy, Ann Arbor, MI, USA
| | | | | | - Vicki L Ellingrod
- Department of Psychology, University of Michigan, Ann Arbor, Michigan, USA, .,College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA,
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Grassi G, Pallanti S. Current and up-and-coming pharmacotherapy for obsessive-compulsive disorder in adults. Expert Opin Pharmacother 2018; 19:1541-1550. [PMID: 30321070 DOI: 10.1080/14656566.2018.1528230] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Only 40-60% of obsessive-compulsive patients respond to first line treatments, such as selective serotonin reuptake inhibitors (SSRIs) and cognitive-behavioral therapy. Several second-line treatments have been investigated in the last two decades, and most of them seem to work, at least in a subset of patients. However, since there is still a lack of treatment predictors, the treatment of obsessive-compulsive disorder (OCD) is still empirical and non-evidence based. AREAS COVERED In this paper, we review current and up-and-coming pharmacotherapy for OCD in adults, focusing on two emerging fields of research, inflammation and glutamate systems, since they have attracted the greatest attention in recent years in OCD pharmacological research. EXPERT OPINION Most of the investigated second-line agents seem to work at least in a subset of patients with OCD. These results raise an open question: what works for who? In our opinion, this question should be answered in a precision medicine perspective or, in other words, individualizing diagnostic processes and treatment approaches. In a precision medicine approach, OCD treatment should be sub-type specific, phase specific, multimodal and sequential, and, more importantly, dimensional.
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Affiliation(s)
- Giacomo Grassi
- a Department of Neuroscience, Psychology, Drug Research and Child Health, Neurofarba , University of Florence , Florence , Italy.,b Institute of Neuroscience , Florence , Italy
| | - Stefano Pallanti
- b Institute of Neuroscience , Florence , Italy.,c Department of Psychiatry and Behavioral Science , Stanford University Medical Center , Stanford , CA , USA
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