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Fan L, Zhang Z, Ma X, Liang L, Wang Y, Yuan L, Ouyang L, Li Z, Chen X, He Y, Palaniyappan L. Glutamate levels and symptom burden in high-risk and first-episode schizophrenia: a dual-voxel study of the anterior cingulate cortex. J Psychiatry Neurosci 2024; 49:E367-E376. [PMID: 39542650 PMCID: PMC11573428 DOI: 10.1503/jpn.240094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 10/07/2024] [Accepted: 10/08/2024] [Indexed: 11/17/2024] Open
Abstract
BACKGROUND Reduced glutamatergic excitability of the anterior cingulate cortex (ACC) has been long suspected in schizophrenia; recent observations support low glutamatergic tone as the primary pathophysiology contributing to subtle early features of this illness, with a secondary disinhibition (higher glutamate tone) resulting in more prominent clinical symptoms later in its course. We sought to investigate whether people with genetic high risk (GHR) for schizophrenia have lower glutamate levels in the ACC than those at later stages of clinical high risk (CHR) and those with first-episode schizophrenia (FES), among whom symptoms are already prominent. METHODS We recruited people with CHR, GHR, or FES, as well as healthy controls. Using proton magnetic resonance spectroscopy, we determined glutamate levels in the perigenual ACC (pACC) and dorsal ACC (dACC) using a 3 T scanner. RESULTS We recruited 302 people across multiple stages of psychosis, including 63 with CHR, 76 with GHR, and 96 with FES, as well as 67 healthy controls. Those with GHR had lower glutamate levels in the dACC than those with CHR, while those with CHR had higher glutamate levels in the pACC than those with FES. Higher disorganization, but not any other symptom domain, was associated with lower levels of glutamate in the GHR group (dACC and pACC) and in the CHR group (pACC). LIMITATIONS The cross-sectional design precluded inferences regarding individual clinical trajectory and resolution at 3 T was insufficient to separate spectra of glutamine from glutamate. CONCLUSION Reduced glutamatergic tone among people genetically predisposed to schizophrenia supports diminished excitability as an early feature of schizophrenia, contributing to the subtle symptom of disorganization across high-risk states. Higher glutamate levels become apparent when psychotic symptoms become prominent, possibly as a disinhibitory effect and, at the full-blown stage of psychosis, the relationship between glutamate concentrations and symptoms ceases to be simply linear.
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Affiliation(s)
- Lejia Fan
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Zhenmei Zhang
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Xiaoqian Ma
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Liangbing Liang
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Yujue Wang
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Liu Yuan
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Lijun Ouyang
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Zongchang Li
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Xiaogang Chen
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Ying He
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
| | - Lena Palaniyappan
- From the Department of Psychiatry and Psychology, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China (Fan); the Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, China (Fan, Zhang, Ma, Wang, Yuan, Ouyang, He, Li, Chen); the Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montréal, Que. (Fan, Palaniyappan); the Robarts Research Institute, Schulich School of Medicine and Dentistry, Western University, London, Ont. (Liang, Palaniyappan)
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Wen J, Antoniades M, Yang Z, Hwang G, Skampardoni I, Wang R, Davatzikos C. Dimensional Neuroimaging Endophenotypes: Neurobiological Representations of Disease Heterogeneity Through Machine Learning. Biol Psychiatry 2024; 96:564-584. [PMID: 38718880 PMCID: PMC11374488 DOI: 10.1016/j.biopsych.2024.04.017] [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: 01/17/2024] [Revised: 03/29/2024] [Accepted: 04/22/2024] [Indexed: 05/21/2024]
Abstract
Machine learning has been increasingly used to obtain individualized neuroimaging signatures for disease diagnosis, prognosis, and response to treatment in neuropsychiatric and neurodegenerative disorders. Therefore, it has contributed to a better understanding of disease heterogeneity by identifying disease subtypes with different brain phenotypic measures. In this review, we first present a systematic literature overview of studies using machine learning and multimodal magnetic resonance imaging to unravel disease heterogeneity in various neuropsychiatric and neurodegenerative disorders, including Alzheimer's disease, schizophrenia, major depressive disorder, autism spectrum disorder, and multiple sclerosis, as well as their potential in a transdiagnostic framework, where neuroanatomical and neurobiological commonalities were assessed across diagnostic boundaries. Subsequently, we summarize relevant machine learning methodologies and their clinical interpretability. We discuss the potential clinical implications of the current findings and envision future research avenues. Finally, we discuss an emerging paradigm called dimensional neuroimaging endophenotypes. Dimensional neuroimaging endophenotypes dissects the neurobiological heterogeneity of neuropsychiatric and neurodegenerative disorders into low-dimensional yet informative, quantitative brain phenotypic representations, serving as robust intermediate phenotypes (i.e., endophenotypes), presumably reflecting the interplay of underlying genetic, lifestyle, and environmental processes associated with disease etiology.
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Affiliation(s)
- Junhao Wen
- Laboratory of AI and Biomedical Science, University of Southern California, Los Angeles, California.
| | - Mathilde Antoniades
- Artificial Intelligence in Biomedical Imaging Laboratory, Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Zhijian Yang
- Artificial Intelligence in Biomedical Imaging Laboratory, Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Gyujoon Hwang
- Psychiatry and Behavioral Medicine, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ioanna Skampardoni
- Artificial Intelligence in Biomedical Imaging Laboratory, Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Rongguang Wang
- Artificial Intelligence in Biomedical Imaging Laboratory, Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Christos Davatzikos
- Artificial Intelligence in Biomedical Imaging Laboratory, Center for AI and Data Science for Integrated Diagnostics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
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3
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Guarro Carreras MT, Jiménez Suárez L, Lago García L, Montes Reula L, Neyra del Rosario A, Rodríguez Batista FA, Velasco Santos M, Prados-Ojeda JL, Diaz-Marsà M, Martín-Carrasco M, Cardenas A. Towards full recovery with lurasidone: effective doses in the treatment of agitation, affective, positive, and cognitive symptoms in schizophrenia and of dual psychosis. Drugs Context 2024; 13:2024-4-4. [PMID: 39131604 PMCID: PMC11313206 DOI: 10.7573/dic.2024-4-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/28/2024] [Indexed: 08/13/2024] Open
Abstract
The management of schizophrenia necessitates a comprehensive treatment paradigm that considers individual patient nuances and the efficacy of lurasidone in addressing schizophrenia symptoms, particularly at elevated dosages. Numerous randomized trials have affirmed the efficacy of lurasidone across various dimensions of schizophrenia, demonstrating marked enhancements in positive, negative and cognitive symptoms compared to a placebo. In addition, lurasidone exhibits potential in ameliorating agitation amongst acutely ill patients, showcasing greater efficacy at higher doses. However, despite the favourable outcomes observed with higher lurasidone doses, routine clinical practice often opts for lower doses, potentially limiting its maximal therapeutic impact. Furthermore, lurasidone also shows efficacy in reducing post-psychotic depression in dual psychosis. Moreover, practical insights into lurasidone usage encompass swift dose escalation within a 1-5-day span and recommended combination strategies with other medications such as benzodiazepines for insomnia or agitation, beta-blockers for akathisia, and antihistamines or antimuscarinic drugs for patients transitioning rapidly from antipsychotics with substantial antihistamine and/or anticholinergic effects. Finally, a series of clinical cases is presented, highlighting benefits of lurasidone in terms of cognitive function, functional recovery and other therapeutic aspects for the management of schizophrenia.
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Affiliation(s)
| | | | | | - Laura Montes Reula
- Unidad de Hospitalización de Corta Estancia de Psiquiatría, Hospital Universitario San Jorge, Huesca, Spain
| | | | | | | | - Juan L Prados-Ojeda
- Servicio de Salud Mental, Hospital Universitario Reina Sofía, Córdoba, Spain
- Departamento de Ciencias Morfológicas y Sociosanitarias, Universidad de Córdoba, Córdoba, Spain
- Instituto Maimónides de Investigación Biomédica de Córdoba, Córdoba, Spain
| | - Marina Diaz-Marsà
- Instituto de Psiquiatría y Salud Mental, Hospital Clínico San Carlos, IdISSC, CIBERSAM, Facultad de Medicina, Universidad Complutense, Madrid, Spain
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4
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Okada N, Yahata N, Koshiyama D, Morita K, Sawada K, Kanata S, Fujikawa S, Sugimoto N, Toriyama R, Masaoka M, Koike S, Araki T, Kano Y, Endo K, Yamasaki S, Ando S, Nishida A, Hiraiwa-Hasegawa M, Edden RAE, Sawa A, Kasai K. Longitudinal trajectories of anterior cingulate glutamate and subclinical psychotic experiences in early adolescence: the impact of bullying victimization. Mol Psychiatry 2024; 29:939-950. [PMID: 38182806 PMCID: PMC11176069 DOI: 10.1038/s41380-023-02382-8] [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: 01/08/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 01/07/2024]
Abstract
Previous studies reported decreased glutamate levels in the anterior cingulate cortex (ACC) in non-treatment-resistant schizophrenia and first-episode psychosis. However, ACC glutamatergic changes in subjects at high-risk for psychosis, and the effects of commonly experienced environmental emotional/social stressors on glutamatergic function in adolescents remain unclear. In this study, adolescents recruited from the general population underwent proton magnetic resonance spectroscopy (MRS) of the pregenual ACC using a 3-Tesla scanner. We explored longitudinal data on the association of combined glutamate-glutamine (Glx) levels, measured by MRS, with subclinical psychotic experiences. Moreover, we investigated associations of bullying victimization, a risk factor for subclinical psychotic experiences, and help-seeking intentions, a coping strategy against stressors including bullying victimization, with Glx levels. Finally, path analyses were conducted to explore multivariate associations. For a contrast analysis, gamma-aminobutyric acid plus macromolecule (GABA+) levels were also analyzed. Negative associations were found between Glx levels and subclinical psychotic experiences at both Times 1 (n = 219, mean age 11.5 y) and 2 (n = 211, mean age 13.6 y), as well as for over-time changes (n = 157, mean interval 2.0 y). Moreover, effects of bullying victimization and bullying victimization × help-seeking intention interaction effects on Glx levels were found (n = 156). Specifically, bullying victimization decreased Glx levels, whereas help-seeking intention increased Glx levels only in bullied adolescents. Finally, associations among bullying victimization, help-seeking intention, Glx levels, and subclinical psychotic experiences were revealed. GABA+ analysis revealed no significant results. This is the first adolescent study to reveal longitudinal trajectories of the association between glutamatergic function and subclinical psychotic experiences and to elucidate the effect of commonly experienced environmental emotional/social stressors on glutamatergic function. Our findings may deepen the understanding of how environmental emotional/social stressors induce impaired glutamatergic neurotransmission that could be the underpinning of liability for psychotic experiences in early adolescence.
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Affiliation(s)
- Naohiro Okada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan.
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan.
| | - Noriaki Yahata
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Institute for Quantum Life Science, National Institutes for Quantum and Radiological Science and Technology, Anagawa 4-9-1, Inage-ku, Chiba, Chiba, 263-8555, Japan
- Department of Molecular Imaging and Theranostics, Institute for Quantum Medical Science, National Institutes for Quantum Science and Technology, Anagawa 4-9-1, Inage-ku, Chiba, Chiba, 263-8555, Japan
| | - Daisuke Koshiyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kentaro Morita
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kingo Sawada
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Center for Research on Counseling and Support Services, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Sho Kanata
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Psychiatry, Teikyo University School of Medicine, Kaga 2-11-1, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Shinya Fujikawa
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Noriko Sugimoto
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Rie Toriyama
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Mio Masaoka
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Shinsuke Koike
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan
- The University of Tokyo Institute for Diversity and Adaptation of Human Mind (UTIDAHM), The University of Tokyo, Komaba 3-8-1, Meguro-ku, Tokyo, 153-8902, Japan
| | - Tsuyoshi Araki
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Department of Psychiatry, Teikyo University Mizonokuchi Hospital, Futago 5-1-1, Takatsu-ku, Kawasaki, Kanagawa, 213-8507, Japan
| | - Yukiko Kano
- Department Child Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Kaori Endo
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Kamikitazawa 2-1-6, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Syudo Yamasaki
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Kamikitazawa 2-1-6, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Shuntaro Ando
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Kamikitazawa 2-1-6, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Atsushi Nishida
- Research Center for Social Science & Medicine, Tokyo Metropolitan Institute of Medical Science, Kamikitazawa 2-1-6, Setagaya-ku, Tokyo, 156-8506, Japan
| | - Mariko Hiraiwa-Hasegawa
- Department of Evolutionary Studies of Biosystems, School of Advanced Sciences, The Graduate University for Advanced Studies (SOKENDAI), Shonan Village, Hayama, Kanagawa, 240-0193, Japan
| | - Richard A E Edden
- Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD, 21287, USA
- F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, 707 N Broadway Street, Baltimore, MD, 21205, USA
| | - Akira Sawa
- Departments of Psychiatry, Neuroscience, Biomedical Engineering, Genetic Medicine, and Pharmacology, Johns Hopkins University School of Medicine, 600 N Wolfe St, Baltimore, MD, 21287, USA
- Department of Mental Health, Johns Hopkins University Bloomberg School of Public Health, 600 N Wolfe St, Baltimore, MD, 21287, USA
| | - Kiyoto Kasai
- Department of Neuropsychiatry, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8655, Japan
- International Research Center for Neurointelligence (WPI-IRCN), The University of Tokyo Institutes for Advanced Study (UTIAS), The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-0033, Japan
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Ji Y, Cai M, Zhou Y, Ma J, Zhang Y, Zhang Z, Zhao J, Wang Y, Jiang Y, Zhai Y, Xu J, Lei M, Xu Q, Liu H, Liu F. Exploring functional dysconnectivity in schizophrenia: alterations in eigenvector centrality mapping and insights into related genes from transcriptional profiles. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2024; 10:37. [PMID: 38491019 PMCID: PMC10943118 DOI: 10.1038/s41537-024-00457-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 03/05/2024] [Indexed: 03/18/2024]
Abstract
Schizophrenia is a mental health disorder characterized by functional dysconnectivity. Eigenvector centrality mapping (ECM) has been employed to investigate alterations in functional connectivity in schizophrenia, yet the results lack consistency, and the genetic mechanisms underlying these changes remain unclear. In this study, whole-brain voxel-wise ECM analyses were conducted on resting-state functional magnetic resonance imaging data. A cohort of 91 patients with schizophrenia and 91 matched healthy controls were included during the discovery stage. Additionally, in the replication stage, 153 individuals with schizophrenia and 182 healthy individuals participated. Subsequently, a comprehensive analysis was performed using an independent transcriptional database derived from six postmortem healthy adult brains to explore potential genetic factors influencing the observed functional dysconnectivity, and to investigate the roles of identified genes in neural processes and pathways. The results revealed significant and reliable alterations in the ECM across multiple brain regions in schizophrenia. Specifically, there was a significant decrease in ECM in the bilateral superior and middle temporal gyrus, and an increase in the bilateral thalamus in both the discovery and replication stages. Furthermore, transcriptional analysis revealed 420 genes whose expression patterns were related to changes in ECM, and these genes were enriched mainly in biological processes associated with synaptic signaling and transmission. Together, this study enhances our knowledge of the neural processes and pathways involved in schizophrenia, shedding light on the genetic factors that may be linked to functional dysconnectivity in this disorder.
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Affiliation(s)
- Yuan Ji
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Mengjing Cai
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yujing Zhou
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Juanwei Ma
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yijing Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhihui Zhang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Jiaxuan Zhao
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Ying Wang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Yurong Jiang
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Ying Zhai
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Jinglei Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Minghuan Lei
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiang Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
| | - Huaigui Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
| | - Feng Liu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
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Tandon R, Nasrallah H, Akbarian S, Carpenter WT, DeLisi LE, Gaebel W, Green MF, Gur RE, Heckers S, Kane JM, Malaspina D, Meyer-Lindenberg A, Murray R, Owen M, Smoller JW, Yassin W, Keshavan M. The schizophrenia syndrome, circa 2024: What we know and how that informs its nature. Schizophr Res 2024; 264:1-28. [PMID: 38086109 DOI: 10.1016/j.schres.2023.11.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/23/2023] [Accepted: 11/29/2023] [Indexed: 03/01/2024]
Abstract
With new data about different aspects of schizophrenia being continually generated, it becomes necessary to periodically revisit exactly what we know. Along with a need to review what we currently know about schizophrenia, there is an equal imperative to evaluate the construct itself. With these objectives, we undertook an iterative, multi-phase process involving fifty international experts in the field, with each step building on learnings from the prior one. This review assembles currently established findings about schizophrenia (construct, etiology, pathophysiology, clinical expression, treatment) and posits what they reveal about its nature. Schizophrenia is a heritable, complex, multi-dimensional syndrome with varying degrees of psychotic, negative, cognitive, mood, and motor manifestations. The illness exhibits a remitting and relapsing course, with varying degrees of recovery among affected individuals with most experiencing significant social and functional impairment. Genetic risk factors likely include thousands of common genetic variants that each have a small impact on an individual's risk and a plethora of rare gene variants that have a larger individual impact on risk. Their biological effects are concentrated in the brain and many of the same variants also increase the risk of other psychiatric disorders such as bipolar disorder, autism, and other neurodevelopmental conditions. Environmental risk factors include but are not limited to urban residence in childhood, migration, older paternal age at birth, cannabis use, childhood trauma, antenatal maternal infection, and perinatal hypoxia. Structural, functional, and neurochemical brain alterations implicate multiple regions and functional circuits. Dopamine D-2 receptor antagonists and partial agonists improve psychotic symptoms and reduce risk of relapse. Certain psychological and psychosocial interventions are beneficial. Early intervention can reduce treatment delay and improve outcomes. Schizophrenia is increasingly considered to be a heterogeneous syndrome and not a singular disease entity. There is no necessary or sufficient etiology, pathology, set of clinical features, or treatment that fully circumscribes this syndrome. A single, common pathophysiological pathway appears unlikely. The boundaries of schizophrenia remain fuzzy, suggesting the absence of a categorical fit and need to reconceptualize it as a broader, multi-dimensional and/or spectrum construct.
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Affiliation(s)
- Rajiv Tandon
- Department of Psychiatry, WMU Homer Stryker School of Medicine, Kalamazoo, MI 49008, United States of America.
| | - Henry Nasrallah
- Department of Psychiatry, University of Cincinnati College of Medicine Cincinnati, OH 45267, United States of America
| | - Schahram Akbarian
- Department of Psychiatry, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - William T Carpenter
- Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD 21201, United States of America
| | - Lynn E DeLisi
- Department of Psychiatry, Cambridge Health Alliance and Harvard Medical School, Cambridge, MA 02139, United States of America
| | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Dusseldorf, Heinrich-Heine University, Dusseldorf, Germany
| | - Michael F Green
- Department of Psychiatry and Biobehavioral Sciences, Jane and Terry Semel Institute of Neuroscience and Human Behavior, UCLA, Los Angeles, CA 90024, United States of America; Greater Los Angeles Veterans' Administration Healthcare System, United States of America
| | - Raquel E Gur
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, United States of America
| | - Stephan Heckers
- Department of Psychiatry, Vanderbilt University Medical Center, Nashville, TN 37232, United States of America
| | - John M Kane
- Department of Psychiatry, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Glen Oaks, NY 11004, United States of America
| | - Dolores Malaspina
- Department of Psychiatry, Neuroscience, Genetics, and Genomics, Icahn School of Medicine at Mt. Sinai, New York, NY 10029, United States of America
| | - Andreas Meyer-Lindenberg
- Department of Psychiatry and Psychotherapy, Central Institute of Mental Health, Mannhein/Heidelberg University, Mannheim, Germany
| | - Robin Murray
- Institute of Psychiatry, Psychology, and Neuroscience, Kings College, London, UK
| | - Michael Owen
- Centre for Neuropsychiatric Genetics and Genomics, and Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Jordan W Smoller
- Center for Precision Psychiatry, Department of Psychiatry, Psychiatric and Neurodevelopmental Unit, Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, United States of America
| | - Walid Yassin
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
| | - Matcheri Keshavan
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02115, United States of America
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Howes OD, Bukala BR, Beck K. Schizophrenia: from neurochemistry to circuits, symptoms and treatments. Nat Rev Neurol 2024; 20:22-35. [PMID: 38110704 DOI: 10.1038/s41582-023-00904-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2023] [Indexed: 12/20/2023]
Abstract
Schizophrenia is a leading cause of global disability. Current pharmacotherapy for the disease predominantly uses one mechanism - dopamine D2 receptor blockade - but often shows limited efficacy and poor tolerability. These limitations highlight the need to better understand the aetiology of the disease to aid the development of alternative therapeutic approaches. Here, we review the latest meta-analyses and other findings on the neurobiology of prodromal, first-episode and chronic schizophrenia, and the link to psychotic symptoms, focusing on imaging evidence from people with the disorder. This evidence demonstrates regionally specific neurotransmitter alterations, including higher glutamate and dopamine measures in the basal ganglia, and lower glutamate, dopamine and γ-aminobutyric acid (GABA) levels in cortical regions, particularly the frontal cortex, relative to healthy individuals. We consider how dysfunction in cortico-thalamo-striatal-midbrain circuits might alter brain information processing to underlie psychotic symptoms. Finally, we discuss the implications of these findings for developing new, mechanistically based treatments and precision medicine for psychotic symptoms, as well as negative and cognitive symptoms.
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Affiliation(s)
- Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
- Faculty of Medicine, Institute of Clinical Sciences, Imperial College London, London, UK.
| | - Bernard R Bukala
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Katherine Beck
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
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8
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Giordano GM, Sanmarchi F, Mucci A, Rucci P, Brando F, Caporusso E, Giuliani L, Melillo A, Pezzella P, Bucci P, Rocca P, Rossi A, Bertolino A, Rossi R, Pergola G, Galderisi S, Maj M. External validation of the five domains of negative symptoms: Focus on cognition, functional capacity, and real-world functioning. Eur Psychiatry 2023; 67:e3. [PMID: 38097401 PMCID: PMC10964270 DOI: 10.1192/j.eurpsy.2023.2478] [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: 09/18/2023] [Revised: 11/21/2023] [Accepted: 11/27/2023] [Indexed: 01/06/2024] Open
Abstract
BACKGROUND The conceptualization of negative symptoms (NS) in schizophrenia is still controversial. Recent confirmatory factor-analytic studies suggested that the bi-dimensional model (motivational deficit [MAP] and expressive deficit [EXP]) may not capture the complexity of NS structure, which could be better defined by a five-factor (five NS domains) or a hierarchical model (five NS domains as first-order factors, and MAP and EXP, as second-order factors). A validation of these models is needed to define the structure of NS. To evaluate the validity and temporal stability of the five-factor or the hierarchical structure of the brief negative symptom scale (BNSS) in individuals with schizophrenia (SCZ), exploring associations between these models with cognition, social cognition, functional capacity, and functioning at baseline and at 4 years follow-up. METHODS Clinical variables were assessed using state-of-the-art tools in 612 SCZ at two-time points. The validity of the five-factor and the hierarchical models was analyzed through structural equation models. RESULTS The two models had both a good fit and showed a similar pattern of associations with external validators at the two-time points, with minor variations. The five-factor solution had a slightly better fit. The associations with external validators favored the five-factor structure. CONCLUSIONS Our findings suggest that both five-factor and hierarchical models provide a valid conceptualization of NS in relation to external variables and that five-factor solution provides the best balance between parsimony and granularity to summarize the BNSS structure. This finding has important implications for the study of pathophysiological mechanisms and the development of new treatments.
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Affiliation(s)
- Giulia M. Giordano
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Francesco Sanmarchi
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Paola Rucci
- Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - Francesco Brando
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Edoardo Caporusso
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Luigi Giuliani
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Antonio Melillo
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Pasquale Pezzella
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Paola Bucci
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Paola Rocca
- Department of Neuroscience, Section of Psychiatry, University of Turin, Turin, Italy
| | - Alessandro Rossi
- Section of Psychiatry, Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, L’Aquila, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Bari, Italy
| | - Rodolfo Rossi
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Giulio Pergola
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari “Aldo Moro”, Bari, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Mario Maj
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
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9
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Pearson M, R Egglestone S, Winship G. The biological paradigm of psychosis in crisis: A Kuhnian analysis. Nurs Philos 2023; 24:e12418. [PMID: 36779230 DOI: 10.1111/nup.12418] [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: 12/10/2021] [Revised: 11/24/2022] [Accepted: 01/14/2023] [Indexed: 02/14/2023]
Abstract
The philosophy of Thomas Kuhn proposes that scientific progress involves periods of crisis and revolution in which previous paradigms are discarded and replaced. Revolutions in how mental health problems are conceptualised have had a substantial impact on the work of mental health nurses. However, despite numerous revolutions within the field of mental health, the biological paradigm has remained largely dominant within western healthcare, especially in orientating the understanding and treatment of psychosis. This paper utilises concepts drawn from the philosophy of Thomas Kuhn to explore the impact of what Kuhn terms 'anomalies' within the dominant biological paradigm: the anomaly of the meaningful utterance, the anomaly of complex aetiology and taxonomy and the anomaly of pharmacological inefficacy in recovery. The paper argues that the biological paradigm for understanding psychosis is in crisis and explores the implications for mental health nursing.
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10
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Merritt K, McCutcheon RA, Aleman A, Ashley S, Beck K, Block W, Bloemen OJN, Borgan F, Boules C, Bustillo JR, Capizzano AA, Coughlin JM, David A, de la Fuente-Sandoval C, Demjaha A, Dempster K, Do KQ, Du F, Falkai P, Galińska-Skok B, Gallinat J, Gasparovic C, Ginestet CE, Goto N, Graff-Guerrero A, Ho BC, Howes O, Jauhar S, Jeon P, Kato T, Kaufmann CA, Kegeles LS, Keshavan MS, Kim SY, King B, Kunugi H, Lauriello J, León-Ortiz P, Liemburg E, Mcilwain ME, Modinos G, Mouchlianitis E, Nakamura J, Nenadic I, Öngür D, Ota M, Palaniyappan L, Pantelis C, Patel T, Plitman E, Posporelis S, Purdon SE, Reichenbach JR, Renshaw PF, Reyes-Madrigal F, Russell BR, Sawa A, Schaefer M, Shungu DC, Smesny S, Stanley JA, Stone J, Szulc A, Taylor R, Thakkar KN, Théberge J, Tibbo PG, van Amelsvoort T, Walecki J, Williamson PC, Wood SJ, Xin L, Yamasue H, McGuire P, Egerton A. Variability and magnitude of brain glutamate levels in schizophrenia: a meta and mega-analysis. Mol Psychiatry 2023; 28:2039-2048. [PMID: 36806762 PMCID: PMC10575771 DOI: 10.1038/s41380-023-01991-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 01/18/2023] [Accepted: 01/31/2023] [Indexed: 02/19/2023]
Abstract
Glutamatergic dysfunction is implicated in schizophrenia pathoaetiology, but this may vary in extent between patients. It is unclear whether inter-individual variability in glutamate is greater in schizophrenia than the general population. We conducted meta-analyses to assess (1) variability of glutamate measures in patients relative to controls (log coefficient of variation ratio: CVR); (2) standardised mean differences (SMD) using Hedges g; (3) modal distribution of individual-level glutamate data (Hartigan's unimodality dip test). MEDLINE and EMBASE databases were searched from inception to September 2022 for proton magnetic resonance spectroscopy (1H-MRS) studies reporting glutamate, glutamine or Glx in schizophrenia. 123 studies reporting on 8256 patients and 7532 controls were included. Compared with controls, patients demonstrated greater variability in glutamatergic metabolites in the medial frontal cortex (MFC, glutamate: CVR = 0.15, p < 0.001; glutamine: CVR = 0.15, p = 0.003; Glx: CVR = 0.11, p = 0.002), dorsolateral prefrontal cortex (glutamine: CVR = 0.14, p = 0.05; Glx: CVR = 0.25, p < 0.001) and thalamus (glutamate: CVR = 0.16, p = 0.008; Glx: CVR = 0.19, p = 0.008). Studies in younger, more symptomatic patients were associated with greater variability in the basal ganglia (BG glutamate with age: z = -0.03, p = 0.003, symptoms: z = 0.007, p = 0.02) and temporal lobe (glutamate with age: z = -0.03, p = 0.02), while studies with older, more symptomatic patients associated with greater variability in MFC (glutamate with age: z = 0.01, p = 0.02, glutamine with symptoms: z = 0.01, p = 0.02). For individual patient data, most studies showed a unimodal distribution of glutamatergic metabolites. Meta-analysis of mean differences found lower MFC glutamate (g = -0.15, p = 0.03), higher thalamic glutamine (g = 0.53, p < 0.001) and higher BG Glx in patients relative to controls (g = 0.28, p < 0.001). Proportion of males was negatively associated with MFC glutamate (z = -0.02, p < 0.001) and frontal white matter Glx (z = -0.03, p = 0.02) in patients relative to controls. Patient PANSS total score was positively associated with glutamate SMD in BG (z = 0.01, p = 0.01) and temporal lobe (z = 0.05, p = 0.008). Further research into the mechanisms underlying greater glutamatergic metabolite variability in schizophrenia and their clinical consequences may inform the identification of patient subgroups for future treatment strategies.
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Affiliation(s)
- Kate Merritt
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK.
| | | | - André Aleman
- Center for Brain Disorder and Cognitive Science, Shenzhen University, Shenzhen, China
- University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Sarah Ashley
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Katherine Beck
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Wolfgang Block
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany
| | - Oswald J N Bloemen
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | - Faith Borgan
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Christiana Boules
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Juan R Bustillo
- Department of Psychiatry and Behavioral Sciences, Center for Psychiatric Research, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Aristides A Capizzano
- Department of Radiology, Division of Neuroradiology, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, 48109, USA
| | - Jennifer M Coughlin
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anthony David
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Camilo de la Fuente-Sandoval
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
- Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Arsime Demjaha
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Kara Dempster
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Kim Q Do
- Center for Psychiatric Neuroscience (CNP), Department of Psychiatry, Lausanne University Hospital-CHUV, Prilly-Lausanne, Switzerland
| | - Fei Du
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Peter Falkai
- Department of Psychiatry, University Hospital, LMU Munich, Nussbaumstrasse 7, 80336, Munich, Germany
| | - Beata Galińska-Skok
- Department of Psychiatry, Medical University of Bialystok, Bialystok, Poland
| | - Jürgen Gallinat
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | | | - Cedric E Ginestet
- Department of Biostatistics and Health Informatics (S2.06), Institute of Psychiatry, Psychology and Neuroscience King's College London, London, UK
| | - Naoki Goto
- Department of Psychiatry, Kokura Gamo Hospital, Kitakyushu, Fukuoka, 8020978, Japan
| | - Ariel Graff-Guerrero
- Multimodal Neuroimaging Schizophrenia Group, Research Imaging Centre, Geriatric Mental Health Program at Centre for Addiction and Mental Health, and Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Beng-Choon Ho
- Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Oliver Howes
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Sameer Jauhar
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Peter Jeon
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
| | - Tadafumi Kato
- Department of Psychiatry and Behavioral Science, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Charles A Kaufmann
- Department of Psychiatry, Columbia University, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | - Lawrence S Kegeles
- Columbia University, Department of Psychiatry, New York State Psychiatric Institute (NYSPI), New York, NY, USA
| | | | | | - Bridget King
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Hiroshi Kunugi
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-0031, Japan
| | - J Lauriello
- Jefferson Health-Sidney Kimmel Medical College, Philadelphia, PA, USA
| | - Pablo León-Ortiz
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
- Neuropsychiatry Department, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Edith Liemburg
- Rob Giel Research Center, Department of Psychiatry, University Medical Center Groningen, Groningen, the Netherlands
| | - Meghan E Mcilwain
- School of Pharmacy, University of Auckland, 85 Park Road, Grafton, Auckland, 1023, New Zealand
| | - Gemma Modinos
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
| | - Elias Mouchlianitis
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Jun Nakamura
- Department of Psychiatry, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan
| | - Igor Nenadic
- Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf (UKE), Hamburg, Germany
| | - Dost Öngür
- Psychotic Disorders Division, McLean Hospital, Harvard Medical School, Belmont, MA, USA
| | - Miho Ota
- National Center of Neurology and Psychiatry, Kodaira, Tokyo, 187-0031, Japan
| | - Lena Palaniyappan
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Douglas Mental Health University Institute, Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Christos Pantelis
- Melbourne Neuropsychiatry Centre, The University of Melbourne and Melbourne Health, Carlton, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Tulsi Patel
- Division of Psychiatry, UCL, Institute of Mental Health, London, UK
| | - Eric Plitman
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, QC, Canada
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Sotirios Posporelis
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- South London and Maudsley, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, BR3 3BX, UK
| | - Scot E Purdon
- Neuropsychology Department, Alberta Hospital Edmonton, Edmonton, AB, Canada
- Department of Psychiatry, University of Alberta, Edmonton, AB, Canada
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology (IDIR), Jena University Hospital, Jena, Germany
| | - Perry F Renshaw
- Department of Psychiatry, University of Utah, Salt Lake City, UT, USA
| | - Francisco Reyes-Madrigal
- Laboratory of Experimental Psychiatry, Instituto Nacional de Neurología y Neurocirugía, Mexico City, Mexico
| | - Bruce R Russell
- School of Pharmacy, University of Otago, Dunedin, New Zealand
| | - Akira Sawa
- Departments of Psychiatry, Neuroscience, Mental Health, Biomedical Engineering, and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Martin Schaefer
- Department of Psychiatry, Psychotherapy, Psychosomatics and Addiction Medicine, Kliniken Essen-Mitte, Essen, Germany
- Department of Psychiatry and Psychotherapy, Charité-Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany
| | - Dikoma C Shungu
- Department of Radiology, Weill Cornell Medical College, New York City, NY, USA
| | - Stefan Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Jeffrey A Stanley
- Brain Imaging Research Division, Department of Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, USA
| | - James Stone
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, De Crespigny Park, London, SE5 8AF, UK
- Brighton and Sussex Medical School, University of Sussex, Brighton, UK
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Reggie Taylor
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
| | - Katharine N Thakkar
- Department of Psychology, Michigan State University, East Lansing, MI, USA
- Division of Psychiatry and Behavioral Medicine, Michigan State University, East Lansing, MI, USA
| | - Jean Théberge
- Department of Medical Biophysics, University of Western Ontario, London, ON, Canada
- Lawson Health Research Institute, London, ON, Canada
- Department of Psychiatry, Western University, London, ON, Canada
| | - Philip G Tibbo
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Thérèse van Amelsvoort
- Department of Psychiatry and Neuropsychology, Maastricht University, Maastricht, the Netherlands
| | | | - Peter C Williamson
- Lawson Health Research Institute, London, ON, Canada
- Department of Psychiatry, Western University, London, ON, Canada
| | - Stephen J Wood
- Orygen, Melbourne, VIC, Australia
- Institute for Mental Health, University of Birmingham, Edgbaston, UK
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Lijing Xin
- Animal Imaging and Technology Core (AIT), Center for Biomedical Imaging (CIBM), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Hidenori Yamasue
- Department of Psychiatry, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Philip McGuire
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Alice Egerton
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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Sabaroedin K, Tiego J, Fornito A. Circuit-Based Approaches to Understanding Corticostriatothalamic Dysfunction Across the Psychosis Continuum. Biol Psychiatry 2023; 93:113-124. [PMID: 36253195 DOI: 10.1016/j.biopsych.2022.07.017] [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: 10/05/2021] [Revised: 06/14/2022] [Accepted: 07/17/2022] [Indexed: 11/28/2022]
Abstract
Dopamine is known to play a role in the pathogenesis of psychotic symptoms, but the mechanisms driving dopaminergic dysfunction in psychosis remain unclear. Considerable attention has focused on the role of corticostriatothalamic (CST) circuits, given that they regulate and are modulated by the activity of dopaminergic cells in the midbrain. Preclinical studies have proposed multiple models of CST dysfunction in psychosis, each prioritizing different brain regions and pathophysiological mechanisms. A particular challenge is that CST circuits have undergone considerable evolutionary modification across mammals, complicating comparisons across species. Here, we consider preclinical models of CST dysfunction in psychosis and evaluate the degree to which they are supported by evidence from human resting-state functional magnetic resonance imaging studies conducted across the psychosis continuum, ranging from subclinical schizotypy to established schizophrenia. In partial support of some preclinical models, human studies indicate that dorsal CST and hippocampal-striatal functional dysconnectivity are apparent across the psychosis spectrum and may represent a vulnerability marker for psychosis. In contrast, midbrain dysfunction may emerge when symptoms warrant clinical assistance and may thus be a trigger for illness onset. The major difference between clinical and preclinical findings is the strong involvement of the dorsal CST in the former, consistent with an increasing prominence of this circuitry in the primate brain. We close by underscoring the need for high-resolution characterization of phenotypic heterogeneity in psychosis to develop a refined understanding of how the dysfunction of specific circuit elements gives rise to distinct symptom profiles.
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Affiliation(s)
- Kristina Sabaroedin
- Departments of Radiology and Paediatrics, Hotchkiss Brain Institute and Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Alberta, Canada.
| | - Jeggan Tiego
- Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia
| | - Alex Fornito
- Turner Institute for Brain and Mental Health, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Clayton, Victoria, Australia
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12
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Palaniyappan L. Subcortical Origin of Salience Processing Deficits in Schizophrenia. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:6-7. [PMID: 36712574 PMCID: PMC9874130 DOI: 10.1016/j.bpsgos.2021.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 12/24/2021] [Indexed: 02/01/2023] Open
Affiliation(s)
- Lena Palaniyappan
- Address correspondence to Lena Palaniyappan, M.D., Ph.D., F.R.C.P.C.
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13
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Giordano GM, Pezzella P, Giuliani L, Fazio L, Mucci A, Perrottelli A, Blasi G, Amore M, Rocca P, Rossi A, Bertolino A, Galderisi S. Resting-State Brain Activity Dysfunctions in Schizophrenia and Their Associations with Negative Symptom Domains: An fMRI Study. Brain Sci 2023; 13:brainsci13010083. [PMID: 36672064 PMCID: PMC9856573 DOI: 10.3390/brainsci13010083] [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: 11/21/2022] [Revised: 12/07/2022] [Accepted: 12/22/2022] [Indexed: 01/03/2023] Open
Abstract
The aim of the present study was to examine the neurobiological correlates of the two negative symptom domains of schizophrenia, the Motivational Deficit domain (including avolition, anhedonia, and asociality) and the Expressive Deficit domain (including blunted affect and alogia), focusing on brain areas that are most commonly found to be associated with negative symptoms in previous literature. Resting-state (rs) fMRI data were analyzed in 62 subjects affected by schizophrenia (SZs) and 46 healthy controls (HCs). The SZs, compared to the HCs, showed higher rs brain activity in the right inferior parietal lobule and the right temporoparietal junction, and lower rs brain activity in the right dorsolateral prefrontal cortex, the bilateral anterior dorsal cingulate cortex, and the ventral and dorsal caudate. Furthermore, in the SZs, the rs brain activity in the left orbitofrontal cortex correlated with negative symptoms (r = -0.436, p = 0.006), in particular with the Motivational Deficit domain (r = -0.424, p = 0.002), even after controlling for confounding factors. The left ventral caudate correlated with negative symptoms (r = -0.407, p = 0.003), especially with the Expressive Deficit domain (r = -0.401, p = 0.003); however, these results seemed to be affected by confounding factors. In line with the literature, our results demonstrated that the two negative symptom domains might be underpinned by different neurobiological mechanisms.
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Affiliation(s)
- Giulia Maria Giordano
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Pasquale Pezzella
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Luigi Giuliani
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
- Correspondence: ; Tel.: +39-0815666512
| | - Leonardo Fazio
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, 70124 Bari, Italy
- Department of Medicine and Surgery, LUM University, 70010 Casamassima, Italy
| | - Armida Mucci
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Andrea Perrottelli
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Giuseppe Blasi
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, 70124 Bari, Italy
| | - Mario Amore
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, Section of Psychiatry, University of Genoa, 16132 Genoa, Italy
| | - Paola Rocca
- Department of Neuroscience, Section of Psychiatry, University of Turin, 10126 Turin, Italy
| | - Alessandro Rossi
- Department of Biotechnological and Applied Clinical Sciences, Section of Psychiatry, University of L’Aquila, 67100 L’Aquila, Italy
| | - Alessandro Bertolino
- Department of Basic Medical Science, Neuroscience and Sense Organs, University of Bari ‘Aldo Moro’, 70124 Bari, Italy
| | - Silvana Galderisi
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
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14
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Davies C, Bossong MG, Martins D, Wilson R, Appiah-Kusi E, Blest-Hopley G, Allen P, Zelaya F, Lythgoe DJ, Brammer M, Perez J, McGuire P, Bhattacharyya S. Hippocampal Glutamate, Resting Perfusion and the Effects of Cannabidiol in Psychosis Risk. SCHIZOPHRENIA BULLETIN OPEN 2023; 4:sgad022. [PMID: 39145348 PMCID: PMC11207663 DOI: 10.1093/schizbullopen/sgad022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/16/2024]
Abstract
Background Preclinical and human data suggest that psychosis onset involves hippocampal glutamatergic dysfunction, driving hyperactivity and hyperperfusion in a hippocampal-midbrain-striatal circuit. Whether glutamatergic dysfunction is related to cerebral perfusion in patients at clinical high risk (CHR) for psychosis, and whether cannabidiol (CBD) has ameliorative effects on glutamate or its relationship with perfusion remains unknown. Methods Using a double-blind, parallel-group design, 33 CHR patients were randomized to a single 600 mg dose of CBD or placebo; 19 healthy controls did not receive any drug. Proton magnetic resonance spectroscopy was used to measure glutamate concentrations in left hippocampus. We examined differences relating to CHR status (controls vs placebo), effects of CBD (placebo vs CBD), and linear between-group effects, such that placebo>CBD>controls or controls>CBD>placebo. We also examined group × glutamate × cerebral perfusion (measured using Arterial Spin Labeling) interactions. Results Compared to controls, CHR-placebo patients had significantly lower hippocampal glutamate (P =.015) and a significant linear relationship was observed across groups, such that glutamate was highest in controls, lowest in CHR-placebo, and intermediate in CHR-CBD (P =.031). Moreover, there was a significant interaction between group (controls vs CHR-placebo), hippocampal glutamate, and perfusion in the putamen and insula (P FWE =.012), with a strong positive correlation in CHR-placebo vs a negative correlation in controls. Conclusions Our findings suggest that hippocampal glutamate is lower in CHR patients and may be partially normalized by a single dose of CBD. Furthermore, we provide the first in vivo evidence of an abnormal relationship between hippocampal glutamate and perfusion in the striatum and insula in CHR.
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Affiliation(s)
- Cathy Davies
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Matthijs G Bossong
- Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht University, Utrecht, The Netherlands
| | - Daniel Martins
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- National Institute for Health Research (NIHR) Maudsley Biomedical Research Centre (BRC), South London and Maudsley NHS Foundation Trust, London, UK
| | - Robin Wilson
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Elizabeth Appiah-Kusi
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Grace Blest-Hopley
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Paul Allen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Fernando Zelaya
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - David J Lythgoe
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Michael Brammer
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
| | - Jesus Perez
- CAMEO Early Intervention Service, Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, UK
- Institute of Biomedical Research (IBSAL), Department of Medicine, Universidad de Salamanca, Salamanca, Spain
| | - Philip McGuire
- Department of Psychiatry, University of Oxford, Oxford, UK
- NIHR Oxford Health Biomedical Research Centre, Oxford, UK
- Oxford Health NHS Foundation Trust, Oxford, UK
| | - Sagnik Bhattacharyya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
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15
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Luciano M, Di Vincenzo M, Mancuso E, Marafioti N, Di Cerbo A, Giallonardo V, Sampogna G, Fiorillo A. Does the Brain Matter? Cortical Alterations in Pediatric Bipolar Disorder: A Critical Review of Structural and Functional Magnetic Resonance Studies. Curr Neuropharmacol 2023; 21:1302-1318. [PMID: 36173069 PMCID: PMC10324338 DOI: 10.2174/1570159x20666220927114417] [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: 04/28/2022] [Revised: 06/14/2022] [Accepted: 07/28/2022] [Indexed: 11/22/2022] Open
Abstract
Pediatric bipolar disorder (PBD) is associated with significant psychosocial impairment, high use of mental health services and a high number of relapses and hospitalization. Neuroimaging techniques provide the opportunity to study the neurodevelopmental processes underlying PBD, helping to identify the endophenotypic markers of illness and early biological markers of PBD. The aim of the study is to review available studies assessing structural and functional brain correlates associated with PBD. PubMed, ISI Web of Knowledge and PsychINFO databases have been searched. Studies were included if they enrolled patients aged 0-18 years with a main diagnosis of PBD according to ICD or DSM made by a mental health professional, adopted structural and/or functional magnetic resonance as the main neuroimaging method, were written in English and included a comparison with healthy subjects. Of the 400 identified articles, 46 papers were included. Patients with PBD present functional and anatomic alterations in structures normally affecting regulations and cognition. Structural neuroimaging revealed a significant reduction in gray matter, with cortical thinning in bilateral frontal, parietal and occipital cortices. Functional neuroimaging studies reported a reduced engagement of the frontolimbic and hyperactivation of the frontostriatal circuitry. Available studies on brain connectivity in PBD patients potentially indicate less efficient connections between regions involved in cognitive and emotional functions. A greater functional definition of alteration in brain functioning of PBD patients will be useful to set up a developmentally sensitive targeted pharmacological and nonpharmacological intervention.
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Affiliation(s)
- Mario Luciano
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Matteo Di Vincenzo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Emiliana Mancuso
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Niccolò Marafioti
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Arcangelo Di Cerbo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | | | - Gaia Sampogna
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Andrea Fiorillo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
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16
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Kruse AO, Bustillo JR. Glutamatergic dysfunction in Schizophrenia. Transl Psychiatry 2022; 12:500. [PMID: 36463316 PMCID: PMC9719533 DOI: 10.1038/s41398-022-02253-w] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 11/05/2022] [Accepted: 11/09/2022] [Indexed: 12/04/2022] Open
Abstract
The NMDA-R hypofunction model of schizophrenia started with the clinical observation of the precipitation of psychotic symptoms in patients with schizophrenia exposed to PCP or ketamine. Healthy volunteers exposed to acute low doses of ketamine experienced mild psychosis but also negative and cognitive type symptoms reminiscent of the full clinical picture of schizophrenia. In rodents, acute systemic ketamine resulted in a paradoxical increase in extracellular frontal glutamate as well as of dopamine. Similar increase in prefrontal glutamate was documented with acute ketamine in healthy volunteers with 1H-MRS. Furthermore, sub-chronic low dose PCP lead to reductions in frontal dendritic tree density in rodents. In post-mortem ultrastructural studies in schizophrenia, a broad reduction in dendritic complexity and somal volume of pyramidal cells has been repeatedly described. This most likely accounts for the broad, subtle progressive cortical thinning described with MRI in- vivo. Additionally, prefrontal reductions in the obligatory GluN1 subunit of the NMDA-R has been repeatedly found in post-mortem tissue. The vast 1H-MRS literature in schizophrenia has documented trait-like small increases in glutamate concentrations in striatum very early in the illness, before antipsychotic treatment (the same structure where increased pre-synaptic release of dopamine has been reported with PET). The more recent genetic literature has reliably detected very small risk effects for common variants involving several glutamate-related genes. The pharmacological literature has followed two main tracks, directly informed by the NMDA-R hypo model: agonism at the glycine site (as mostly add-on studies targeting negative and cognitive symptoms); and pre-synaptic modulation of glutamatergic release (as single agents for acute psychosis). Unfortunately, both approaches have failed so far. There is little doubt that brain glutamatergic abnormalities are present in schizophrenia and that some of these are related to the etiology of the illness. The genetic literature directly supports a non- specific etiological role for glutamatergic dysfunction. Whether NMDA-R hypofunction as a specific mechanism accounts for any important component of the illness is still not evident. However, a glutamatergic model still has heuristic value to guide future research in schizophrenia. New tools to jointly examine brain glutamatergic, GABA-ergic and dopaminergic systems in-vivo, early in the illness, may lay the ground for a next generation of clinical trials that go beyond dopamine D2 blockade.
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Affiliation(s)
- Andreas O Kruse
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131, USA.
| | - Juan R Bustillo
- Department of Psychiatry and Behavioral Sciences, University of New Mexico, Albuquerque, NM, 87131, USA
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17
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Fiorillo A, Cuomo A, Sampogna G, Albert U, Calò P, Cerveri G, De Filippis S, Masi G, Pompili M, Serafini G, Vita A, Zuddas A, Fagiolini A. Lurasidone in adolescents and adults with schizophrenia: from clinical trials to real-world clinical practice. Expert Opin Pharmacother 2022; 23:1801-1818. [DOI: 10.1080/14656566.2022.2141568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Andrea Fiorillo
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | | | - Gaia Sampogna
- Department of Psychiatry, University of Campania “L. Vanvitelli”, Naples, Italy
| | - Umberto Albert
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Italy; Azienda Sanitaria Integrata Giuliano-Isontina - ASUGI, UCO Clinica Psichiatrica, Trieste, Italy
| | - Paola Calò
- Department of Mental Health, Azienda Sanitaria Integrata Giuliano-IsontinaLecce, Italy
| | | | | | - Gabriele Masi
- Scientific Institute of Child Neurology and Psychiatry, IRCCS Stella Maris, Calambrone, Pisa, Italy
| | - Maurizio Pompili
- Department of Neurosciences, Mental Health, and Sensory Organs, Faculty of Medicine and Psychology, Suicide Prevention Centre, Sant’Andrea Hospital, Sapienza University of Rome, Rome, Italy
| | - Gianluca Serafini
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, Section of Psychiatry, University of Genoa, Genoa, Italy IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Antonio Vita
- Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy; Department of Mental Health and Addiction Services, ASST Spedali Civili of Brescia, Brescia, Italy
| | - Alessandro Zuddas
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
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18
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Halff EF, Natesan S, Bonsall DR, Veronese M, Garcia-Hidalgo A, Kokkinou M, Tang SP, Riggall LJ, Gunn RN, Irvine EE, Withers DJ, Wells LA, Howes OD. Evaluation of Intraperitoneal [ 18F]-FDOPA Administration for Micro-PET Imaging in Mice and Assessment of the Effect of Subchronic Ketamine Dosing on Dopamine Synthesis Capacity. Mol Imaging 2022; 2022:4419221. [PMID: 36721730 PMCID: PMC9881672 DOI: 10.1155/2022/4419221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 10/08/2022] [Indexed: 02/05/2023] Open
Abstract
Positron emission tomography (PET) using the radiotracer [18F]-FDOPA provides a tool for studying brain dopamine synthesis capacity in animals and humans. We have previously standardised a micro-PET methodology in mice by intravenously administering [18F]-FDOPA via jugular vein cannulation and assessment of striatal dopamine synthesis capacity, indexed as the influx rate constant K i Mod of [18F]-FDOPA, using an extended graphical Patlak analysis with the cerebellum as a reference region. This enables a direct comparison between preclinical and clinical output values. However, chronic intravenous catheters are technically difficult to maintain for longitudinal studies. Hence, in this study, intraperitoneal administration of [18F]-FDOPA was evaluated as a less-invasive alternative that facilitates longitudinal imaging. Our experiments comprised the following assessments: (i) comparison of [18F]-FDOPA uptake between intravenous and intraperitoneal radiotracer administration and optimisation of the time window used for extended Patlak analysis, (ii) comparison of Ki Mod in a within-subject design of both administration routes, (iii) test-retest evaluation of Ki Mod in a within-subject design of intraperitoneal radiotracer administration, and (iv) validation of Ki Mod estimates by comparing the two administration routes in a mouse model of hyperdopaminergia induced by subchronic ketamine. Our results demonstrate that intraperitoneal [18F]-FDOPA administration resulted in good brain uptake, with no significant effect of administration route on Ki Mod estimates (intraperitoneal: 0.024 ± 0.0047 min-1, intravenous: 0.022 ± 0.0041 min-1, p = 0.42) and similar coefficient of variation (intraperitoneal: 19.6%; intravenous: 18.4%). The technique had a moderate test-retest validity (intraclass correlation coefficient (ICC) = 0.52, N = 6) and thus supports longitudinal studies. Following subchronic ketamine administration, elevated K i Mod as compared to control condition was measured with a large effect size for both methods (intraperitoneal: Cohen's d = 1.3; intravenous: Cohen's d = 0.9), providing further evidence that ketamine has lasting effects on the dopamine system, which could contribute to its therapeutic actions and/or abuse liability.
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Affiliation(s)
- Els F. Halff
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, London, UK
| | - Sridhar Natesan
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, London, UK
| | - David R. Bonsall
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, London, UK
- Invicro, Burlington Danes, Hammersmith Hospital, London, UK
| | - Mattia Veronese
- Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Department of Information Engineering, University of Padua, Italy
| | - Anna Garcia-Hidalgo
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Michelle Kokkinou
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Sac-Pham Tang
- Invicro, Burlington Danes, Hammersmith Hospital, London, UK
| | - Laura J. Riggall
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Roger N. Gunn
- Invicro, Burlington Danes, Hammersmith Hospital, London, UK
| | - Elaine E. Irvine
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
- Metabolic Signalling Group, MRC London Institute of Medical Sciences, London, UK
| | - Dominic J. Withers
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
- Metabolic Signalling Group, MRC London Institute of Medical Sciences, London, UK
| | - Lisa A. Wells
- Invicro, Burlington Danes, Hammersmith Hospital, London, UK
| | - Oliver D. Howes
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, London, UK
- Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
- South London and Maudsley NHS Foundation Trust, Camberwell, London, UK
- H. Lundbeck A/S, St Albans AL1 2PS, UK
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19
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Howes OD, Shatalina E. Integrating the Neurodevelopmental and Dopamine Hypotheses of Schizophrenia and the Role of Cortical Excitation-Inhibition Balance. Biol Psychiatry 2022; 92:501-513. [PMID: 36008036 DOI: 10.1016/j.biopsych.2022.06.017] [Citation(s) in RCA: 94] [Impact Index Per Article: 31.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 05/16/2022] [Accepted: 06/04/2022] [Indexed: 12/23/2022]
Abstract
The neurodevelopmental and dopamine hypotheses are leading theories of the pathoetiology of schizophrenia, but they were developed in isolation. However, since they were originally proposed, there have been considerable advances in our understanding of the normal neurodevelopmental refinement of synapses and cortical excitation-inhibition (E/I) balance, as well as preclinical findings on the interrelationship between cortical and subcortical systems and new in vivo imaging and induced pluripotent stem cell evidence for lower synaptic density markers in patients with schizophrenia. Genetic advances show that schizophrenia is associated with variants linked to genes affecting GABA (gamma-aminobutyric acid) and glutamatergic signaling as well as neurodevelopmental processes. Moreover, in vivo studies on the effects of stress, particularly during later development, show that it leads to synaptic elimination. We review these lines of evidence as well as in vivo evidence for altered cortical E/I balance and dopaminergic dysfunction in schizophrenia. We discuss mechanisms through which frontal cortex circuitry may regulate striatal dopamine and consider how frontal E/I imbalance may cause dopaminergic dysregulation to result in psychotic symptoms. This integrated neurodevelopmental and dopamine hypothesis suggests that overpruning of synapses, potentially including glutamatergic inputs onto frontal cortical interneurons, disrupts the E/I balance and thus underlies cognitive and negative symptoms. It could also lead to disinhibition of excitatory projections from the frontal cortex and possibly other regions that regulate mesostriatal dopamine neurons, resulting in dopamine dysregulation and psychotic symptoms. Together, this explains a number of aspects of the epidemiology and clinical presentation of schizophrenia and identifies new targets for treatment and prevention.
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Affiliation(s)
- Oliver D Howes
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, United Kingdom; Department of Psychosis, Institute of Psychiatry, Psychology and Neuroscience, King's College London, United Kingdom.
| | - Ekaterina Shatalina
- Psychiatric Imaging Group, MRC London Institute of Medical Sciences, Hammersmith Hospital, Imperial College London, United Kingdom
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20
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van Hooijdonk CF, Drukker M, van de Giessen E, Booij J, Selten JP, van Amelsvoort TA. Dopaminergic alterations in populations at increased risk for psychosis: a systematic review of imaging findings. Prog Neurobiol 2022; 213:102265. [DOI: 10.1016/j.pneurobio.2022.102265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 03/09/2022] [Accepted: 03/16/2022] [Indexed: 10/18/2022]
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