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Paul T, See JW, Vijayakumar V, Njideaka-Kevin T, Loh H, Lee VJQ, Dogrul BN. Neurostructural changes in schizophrenia and treatment-resistance: a narrative review. PSYCHORADIOLOGY 2024; 4:kkae015. [PMID: 39399446 PMCID: PMC11467815 DOI: 10.1093/psyrad/kkae015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 08/11/2024] [Accepted: 09/05/2024] [Indexed: 10/15/2024]
Abstract
Schizophrenia is a complex disorder characterized by multiple neurochemical abnormalities and structural changes in the brain. These abnormalities may begin before recognizable clinical symptoms appear and continue as a dynamic process throughout the illness. Recent advances in imaging techniques have significantly enriched our comprehension of these structural alterations, particularly focusing on gray and white matter irregularities and prefrontal, temporal, and cingulate cortex alterations. Some of the changes suggest treatment resistance to antipsychotic medications, while treatment nonadherence and relapses may further exacerbate structural abnormalities. This narrative review aims to discuss the literature about alterations and deficits within the brain, which could improve the understanding of schizophrenia and how to interpret neurostructural changes.
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Affiliation(s)
- Tanya Paul
- Department of Medicine, Avalon University School of Medicine, World Trade Center, Willemstad, Curaçao
| | - Jia Whei See
- General Medicine, Universitas Sriwijaya, Palembang City 30114, Indonesia
| | - Vetrivel Vijayakumar
- Department of Psychiatry, United Health Services Hospitals, Johnson City, New York 13790, USA
| | - Temiloluwa Njideaka-Kevin
- Department of Medicine, Avalon University School of Medicine, World Trade Center, Willemstad, Curaçao
| | - Hanyou Loh
- Department of Medicine, Avalon University School of Medicine, World Trade Center, Willemstad, Curaçao
| | - Vivian Jia Qi Lee
- Department of Medicine, Avalon University School of Medicine, World Trade Center, Willemstad, Curaçao
| | - Bekir Nihat Dogrul
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York 14642, USA
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2
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Bayar Kapici O, Kapici Y, Tekın A, Şırık M. A novel diagnosis method for schizophrenia based on globus pallidus data. Psychiatry Res Neuroimaging 2023; 336:111732. [PMID: 37922672 DOI: 10.1016/j.pscychresns.2023.111732] [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: 05/09/2023] [Revised: 08/25/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023]
Abstract
This research aims to diagnose schizophrenia with machine learning-based algorithms. Bayesian neural network, logistic regression, decision tree, k-nearest neighbor, and gaussian kernel classification techniques are investigated to diagnose schizophrenia with data from 125 persons. This study showed that left lateral ventricles and left globus pallidus volumes and their percentages in the brain were significantly lower than HCs in FEP patients. Using brain volumes, we were able to diagnose FEP with an accuracy of 73.6 % via logistic regression and with an accuracy of 86.4 % using the SVM kernel classifier method. Therefore, brain volumes can be used to diagnose FEP with the SVM kernel classifier method.
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Affiliation(s)
- Olga Bayar Kapici
- Department of Radiology, Adıyaman Training and Research Hospital, Adıyaman, Turkey
| | - Yaşar Kapici
- Department of Psychiatry, Kahta State Hospital, Adıyaman, Turkey.
| | - Atilla Tekın
- Department of Psychiatry, Adıyaman University Faculty of Medicine, Adıyaman, Turkey
| | - Mehmet Şırık
- Department of Radiology, Adıyaman University Faculty of Medicine, Adıyaman, Turkey
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3
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Emsley R. Antipsychotics and structural brain changes: could treatment adherence explain the discrepant findings? Ther Adv Psychopharmacol 2023; 13:20451253231195258. [PMID: 37701891 PMCID: PMC10493054 DOI: 10.1177/20451253231195258] [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: 03/15/2023] [Accepted: 07/11/2023] [Indexed: 09/14/2023] Open
Abstract
Progressive structural brain changes are well documented in schizophrenia and have been linked to both illness progression and the extent of antipsychotic treatment exposure. Literature reporting longitudinal changes in brain structure in individuals with schizophrenia is selectively reviewed to assess the roles of illness, antipsychotic treatment, adherence and other factors in the genesis of these changes. This narrative review considers literature investigating longitudinal changes in brain structure in individuals with schizophrenia. The review focusses on structural changes in the cortex, basal ganglia and white matter. It also examines effects of medication non-adherence and relapse on the clinical course of the illness and on structural brain changes. Studies investigating structural magnetic resonance imaging changes in patients treated with long-acting injectable antipsychotics are reviewed. Temporal changes in brain structure in schizophrenia can be divided into those that are associated with antipsychotic treatment and those that are not. Changes associated with treatment include increases in basal ganglia and white matter volumes. Relapse episodes may be a critical factor in illness progression and brain volume reductions. Medication adherence may be an important factor that could explain the findings that brain volume reductions are associated with poor treatment response, higher intensity of antipsychotic treatment exposure and more time spent in relapse. Improved adherence via long-acting injectable antipsychotics and adherence focussed psychosocial interventions could maximize protective effects of antipsychotics against illness progression.
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Affiliation(s)
- Robin Emsley
- Department of Psychiatry, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 241, Tygerberg Campus, Cape Town 8000, South Africa
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4
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Chatterjee I, Chatterjee S. Investigating the symptomatic and morphological changes in the brain based on pre and post-treatment: A critical review from clinical to neuroimaging studies on schizophrenia. IBRO Neurosci Rep 2023. [DOI: 10.1016/j.ibneur.2023.03.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/31/2023] Open
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5
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de Bartolomeis A, Vellucci L, Barone A, Manchia M, De Luca V, Iasevoli F, Correll CU. Clozapine's multiple cellular mechanisms: What do we know after more than fifty years? A systematic review and critical assessment of translational mechanisms relevant for innovative strategies in treatment-resistant schizophrenia. Pharmacol Ther 2022; 236:108236. [PMID: 35764175 DOI: 10.1016/j.pharmthera.2022.108236] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 06/21/2022] [Accepted: 06/21/2022] [Indexed: 12/21/2022]
Abstract
Almost fifty years after its first introduction into clinical care, clozapine remains the only evidence-based pharmacological option for treatment-resistant schizophrenia (TRS), which affects approximately 30% of patients with schizophrenia. Despite the long-time experience with clozapine, the specific mechanism of action (MOA) responsible for its superior efficacy among antipsychotics is still elusive, both at the receptor and intracellular signaling level. This systematic review is aimed at critically assessing the role and specific relevance of clozapine's multimodal actions, dissecting those mechanisms that under a translational perspective could shed light on molecular targets worth to be considered for further innovative antipsychotic development. In vivo and in vitro preclinical findings, supported by innovative techniques and methods, together with pharmacogenomic and in vivo functional studies, point to multiple and possibly overlapping MOAs. To better explore this crucial issue, the specific affinity for 5-HT2R, D1R, α2c, and muscarinic receptors, the relatively low occupancy at dopamine D2R, the interaction with receptor dimers, as well as the potential confounder effects resulting in biased ligand action, and lastly, the role of the moiety responsible for lipophilic and alkaline features of clozapine are highlighted. Finally, the role of transcription and protein changes at the synaptic level, and the possibility that clozapine can directly impact synaptic architecture are addressed. Although clozapine's exact MOAs that contribute to its unique efficacy and some of its severe adverse effects have not been fully understood, relevant information can be gleaned from recent mechanistic understandings that may help design much needed additional therapeutic strategies for TRS.
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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 Science and Dentistry, University Medical School of Naples "Federico II", Naples, Italy.
| | - Licia Vellucci
- Section of Psychiatry, Laboratory of Translational and Molecular Psychiatry and Unit of Treatment Resistant Psychosis, Department of Neuroscience, Reproductive Science and Dentistry, University Medical School of Naples "Federico II", Naples, Italy
| | - Annarita Barone
- Section of Psychiatry, Laboratory of Translational and Molecular Psychiatry and Unit of Treatment Resistant Psychosis, Department of Neuroscience, Reproductive Science and Dentistry, University Medical School of Naples "Federico II", Naples, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
| | | | - Felice Iasevoli
- Section of Psychiatry, Laboratory of Translational and Molecular Psychiatry and Unit of Treatment Resistant Psychosis, Department of Neuroscience, Reproductive Science and Dentistry, University Medical School of Naples "Federico II", Naples, Italy
| | - Christoph U Correll
- The Zucker Hillside Hospital, Department of Psychiatry, Northwell Health, Glen Oaks, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Department of Psychiatry and Molecular Medicine, Hempstead, NY, USA; Charité Universitätsmedizin Berlin, Department of Child and Adolescent Psychiatry, Berlin, Germany
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6
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Krajner F, Hadaya L, McQueen G, Sendt KV, Gillespie A, Avila A, Lally J, Hedges EP, Diederen K, Howes OD, Barker GJ, Lythgoe DJ, Kempton MJ, McGuire P, MacCabe JH, Egerton A. Subcortical volume reduction and cortical thinning 3 months after switching to clozapine in treatment resistant schizophrenia. SCHIZOPHRENIA (HEIDELBERG, GERMANY) 2022; 8:13. [PMID: 35236831 PMCID: PMC8891256 DOI: 10.1038/s41537-022-00230-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 12/06/2021] [Indexed: 11/29/2022]
Abstract
The neurobiological effects of clozapine are under characterised. We examined the effects clozapine treatment on subcortical volume and cortical thickness and investigated whether macrostructural changes were linked to alterations in glutamate or N-acetylaspartate (NAA). Data were acquired in 24 patients with treatment-resistant schizophrenia before and 12 weeks after switching to clozapine. During clozapine treatment we observed reductions in caudate and putamen volume, lateral ventricle enlargement (P < 0.001), and reductions in thickness of the left inferior temporal cortex, left caudal middle frontal cortex, and the right temporal pole. Reductions in right caudate volume were associated with local reductions in NAA (P = 0.002). None of the morphometric changes were associated with changes in glutamate levels. These results indicate that clozapine treatment is associated with subcortical volume loss and cortical thinning and that at least some of these effects are linked to changes in neuronal or metabolic integrity.
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Affiliation(s)
- Fanni Krajner
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Laila Hadaya
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Grant McQueen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Kyra-Verena Sendt
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Amy Gillespie
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
- Department of Psychiatry, University of Oxford, Warneford Hospital, Oxford, UK
| | - Alessia Avila
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - John Lally
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
- Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Emily P Hedges
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Kelly Diederen
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Oliver D Howes
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
- South London and Maudsley NHS Trust, London, UK
| | - Gareth J Barker
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - David J Lythgoe
- Department of Neuroimaging, Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Matthew J Kempton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
| | - Philip McGuire
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
- South London and Maudsley NHS Trust, London, UK
| | - James H MacCabe
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK
- South London and Maudsley NHS Trust, London, UK
| | - Alice Egerton
- Department of Psychosis Studies, Institute of Psychiatry, Psychology & Neuroscience, King's College London, De Crespigny Park, London, UK.
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7
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Chen Y, Womer FY, Feng R, Zhang X, Zhang Y, Duan J, Chang M, Yin Z, Jiang X, Wei S, Wei Y, Tang Y, Wang F. A Real-World Observation of Antipsychotic Effects on Brain Volumes and Intrinsic Brain Activity in Schizophrenia. Front Neurosci 2022; 15:749316. [PMID: 35221884 PMCID: PMC8863862 DOI: 10.3389/fnins.2021.749316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Accepted: 11/30/2021] [Indexed: 11/13/2022] Open
Abstract
BackgroundThe confounding effects of antipsychotics that led to the inconsistencies of neuroimaging findings have long been the barriers to understanding the pathophysiology of schizophrenia (SZ). Although it is widely accepted that antipsychotics can alleviate psychotic symptoms during the early most acute phase, the longer-term effects of antipsychotics on the brain have been unclear. This study aims to look at the susceptibility of different imaging measures to longer-term medicated status through real-world observation.MethodsWe compared gray matter volume (GMV) with amplitude of low-frequency fluctuations (ALFFs) in 89 medicated-schizophrenia (med-SZ), 81 unmedicated-schizophrenia (unmed-SZ), and 235 healthy controls (HC), and the differences were explored for relationships between imaging modalities and clinical variables. We also analyzed age-related effects on GMV and ALFF values in the two patient groups (med-SZ and unmed-SZ).ResultsMed-SZ demonstrated less GMV in the prefrontal cortex, temporal lobe, cingulate gyri, and left insula than unmed-SZ and HC (p < 0.05, family-wise error corrected). Additionally, GMV loss correlated with psychiatric symptom relief in all SZ. However, medicated status did not influence ALFF values: all SZ showed increased ALFF in the anterior cerebrum and decreased ALFF in posterior visual cortices compared with HC (p < 0.05, family-wise error corrected). Age-related GMV effects were seen in all regions, which showed group-level differences except fusiform gyrus. No significant correlation was found between ALFF values and psychiatric symptoms.ConclusionGMV loss appeared to be pronounced to longer-term antipsychotics, whereby imbalanced alterations in regional low-frequency fluctuations persisted unaffected by antipsychotic treatment. Our findings may help to understand the disease course of SZ and potentially identify a reliable neuroimaging feature for diagnosis.
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Affiliation(s)
- Yifan Chen
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Fay Y. Womer
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, United States
| | - Ruiqi Feng
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Xizhe Zhang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
- Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Yanbo Zhang
- Functional Brain Imaging Institute of Nanjing Medical University, Nanjing, China
| | - Jia Duan
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Miao Chang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
- School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China
| | - Zhiyang Yin
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Xiaowei Jiang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Shengnan Wei
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yange Wei
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
| | - Yanqing Tang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
- *Correspondence: Yanqing Tang,
| | - Fei Wang
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, China
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
- Department of Radiology, The First Affiliated Hospital of China Medical University, Shenyang, China
- Fei Wang,
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8
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Kanahara N, Yamanaka H, Shiko Y, Kawasaki Y, Iyo M. The effects of cumulative antipsychotic dose on brain structures in patients with schizophrenia: Observational study of multiple CT scans over a long-term clinical course. Psychiatry Res Neuroimaging 2022; 319:111422. [PMID: 34856453 DOI: 10.1016/j.pscychresns.2021.111422] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 10/23/2021] [Accepted: 10/28/2021] [Indexed: 10/19/2022]
Abstract
Multiple lines of evidence indicate that antipsychotic agents could affect brain structures of schizophrenia patients. However, the effect of antipsychotic dosage or type on brain structure is uncertain. The present study retrospectively analyzed brain computed tomography (CT) images from a psychiatric hospital to examine the relationship between cumulative dose of antipsychotics and brain volume reduction in schizophrenia patients. A total of 43 patients with repeated relapse episode of psychosis were included and CT scans that were performed an average of 3.2 times per patient during nearly 13 years of follow-up were analyzed. The results revealed significant positive relationships of expansion of cerebrospinal fluid space with cumulative dosage of all antipsychotics and that of typical antipsychotics. Patients treated with antipsychotics including typical antipsychotics exhibited a greater volume reduction compared to patients treated with only atypical antipsychotics. The present study was one of the longest longitudinal studies examining the effects of antipsychotics on brain volume in schizophrenia patients. These results suggest a relation between cumulative lifetime antipsychotic dosage and progressive brain volume reduction in patients with schizophrenia. However, the effects of specific agent on brain structure are still uncertain, and more detailed analysis is needed.
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Affiliation(s)
- Nobuhisa Kanahara
- Division of Medical Treatment and Rehabilitation, Center for Forensic Mental Health, Chiba University, Chiba, Japan; Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan.
| | - Hiroshi Yamanaka
- Department of Psychiatry, Chiba Psychiatric Medical Center, Chiba, Japan
| | - Yuki Shiko
- Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan
| | - Yohei Kawasaki
- Biostatistics Section, Clinical Research Center, Chiba University Hospital, Chiba, Japan
| | - Masaomi Iyo
- Department of Psychiatry, Chiba University Graduate School of Medicine, Chiba, Japan
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9
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Kochunov P, Hong LE, Dennis EL, Morey RA, Tate DF, Wilde EA, Logue M, Kelly S, Donohoe G, Favre P, Houenou J, Ching CRK, Holleran L, Andreassen OA, van Velzen LS, Schmaal L, Villalón-Reina JE, Bearden CE, Piras F, Spalletta G, van den Heuvel OA, Veltman DJ, Stein DJ, Ryan MC, Tan Y, van Erp TGM, Turner JA, Haddad L, Nir TM, Glahn DC, Thompson PM, Jahanshad N. ENIGMA-DTI: Translating reproducible white matter deficits into personalized vulnerability metrics in cross-diagnostic psychiatric research. Hum Brain Mapp 2022; 43:194-206. [PMID: 32301246 PMCID: PMC8675425 DOI: 10.1002/hbm.24998] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 03/06/2020] [Accepted: 03/17/2020] [Indexed: 12/25/2022] Open
Abstract
The ENIGMA-DTI (diffusion tensor imaging) workgroup supports analyses that examine the effects of psychiatric, neurological, and developmental disorders on the white matter pathways of the human brain, as well as the effects of normal variation and its genetic associations. The seven ENIGMA disorder-oriented working groups used the ENIGMA-DTI workflow to derive patterns of deficits using coherent and coordinated analyses that model the disease effects across cohorts worldwide. This yielded the largest studies detailing patterns of white matter deficits in schizophrenia spectrum disorder (SSD), bipolar disorder (BD), major depressive disorder (MDD), obsessive-compulsive disorder (OCD), posttraumatic stress disorder (PTSD), traumatic brain injury (TBI), and 22q11 deletion syndrome. These deficit patterns are informative of the underlying neurobiology and reproducible in independent cohorts. We reviewed these findings, demonstrated their reproducibility in independent cohorts, and compared the deficit patterns across illnesses. We discussed translating ENIGMA-defined deficit patterns on the level of individual subjects using a metric called the regional vulnerability index (RVI), a correlation of an individual's brain metrics with the expected pattern for a disorder. We discussed the similarity in white matter deficit patterns among SSD, BD, MDD, and OCD and provided a rationale for using this index in cross-diagnostic neuropsychiatric research. We also discussed the difference in deficit patterns between idiopathic schizophrenia and 22q11 deletion syndrome, which is used as a developmental and genetic model of schizophrenia. Together, these findings highlight the importance of collaborative large-scale research to provide robust and reproducible effects that offer insights into individual vulnerability and cross-diagnosis features.
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Affiliation(s)
- Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - L Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Emily L Dennis
- Psychiatry Neuroimaging Laboratory, Brigham & Women's Hospital, Boston, Massachusetts, USA
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA
- George E. Wahlen VA, Salt Lake City, Utah, USA
| | - Rajendra A Morey
- Brain Imaging and Analysis Center, Duke University, Durham, North Carolina, USA
| | - David F Tate
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA
- George E. Wahlen VA, Salt Lake City, Utah, USA
| | - Elisabeth A Wilde
- Department of Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA
- George E. Wahlen VA, Salt Lake City, Utah, USA
| | - Mark Logue
- VA Boston Healthcare System, National Center for PTSD, Boston, Massachusetts, USA
- Boston University School of Medicine, Department of Psychiatry, Boston, Massachusetts, USA
- Boston University School of Medicine, Biomedical Genetics, Boston, Massachusetts, USA
- Boston University School of Public Health, Department of Biostatistics, Boston, Massachusetts, USA
| | - Sinead Kelly
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Gary Donohoe
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Pauline Favre
- Neurospin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
- INSERM Unit U955, team "Translational Neuro-Psychiatry", Créteil, France
| | - Josselin Houenou
- Neurospin, CEA, Université Paris-Saclay, Gif-sur-Yvette, France
- INSERM Unit U955, team "Translational Neuro-Psychiatry", Créteil, France
- Psychiatry Department, Assistance Publique-Hôpitaux de Paris (AP-HP), CHU Mondor, Créteil, France
- Faculté de Médecine, Université Paris Est Créteil, Créteil, France
| | - Christopher R K Ching
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
| | - Laurena Holleran
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - Ole A Andreassen
- Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
- Norwegian Centre for Mental Disorders Research (NORMENT), Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Laura S van Velzen
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia
| | - Lianne Schmaal
- Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia
- Orygen, The National Centre of Excellence in Youth Mental Health, Parkville, Australia
| | - Julio E Villalón-Reina
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
| | - Carrie E Bearden
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California at Los Angeles, Los Angeles, California, USA
- Department of Psychology, University of California at Los Angeles, Los Angeles, California, USA
| | - Fabrizio Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - Gianfranco Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
- Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, Texas, USA
| | - Odile A van den Heuvel
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Dick J Veltman
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Psychiatry, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Dan J Stein
- Department of Psychiatry & Neuroscience Institute, University of Cape Town, SA MRC Unit on Risk & Resilience in Mental Disorders, Cape Town, South Africa
| | - Meghann C Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Yunlong Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, China
| | - Theo G M van Erp
- Clinical Translational Neuroscience Laboratory, Department of Psychiatry, University of California Irvine, Irvine, California, USA
- Center for the Neurobiology of Learning and Memory, University of California Irvine, Irvine, California, USA
| | - Jessica A Turner
- Department of Psychology and Neuroscience Institute, Georgia State University, Atlanta, Georgia, USA
| | - Liz Haddad
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
| | - Talia M Nir
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Olin Neuropsychiatric Research Center, Hartford Hospital, Hartford, Connecticut, USA
| | - Paul M Thompson
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
| | - Neda Jahanshad
- Imaging Genetics Center, USC Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine of USC, Marina del Rey, California, USA
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10
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Vandevelde A, Métivier L, Dollfus S. Impact cérébral structurel et fonctionnel de la Clozapine chez les patients souffrant de schizophrénie : revue systématique des études longitudinales en neuroimagerie. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2021; 66:683-700. [PMID: 33131322 PMCID: PMC8329901 DOI: 10.1177/0706743720966459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIF L'objectif de cette revue est d'identifier les corrélats anatomo-fonctionnels cérébraux lors d'un traitement par clozapine (CLZ) ainsi que les marqueurs anatomo-fonctionnels prédictifs de la réponse à la CLZ. MÉTHODES Nous avons réalisé une revue systématique de la littérature avec les bases de données MEDLINE et Web of Science afin d'identifier et d'examiner toutes les études longitudinales en neuroimagerie investiguant l'impact cérébral de la CLZ. RÉSULTATS 30 études ont été incluses et analysées. La CLZ induit une diminution du volume et de la perfusion dans les noyaux gris centraux chez les patients répondeurs. Un plus grand volume de substance grise et perfusion dans ces structures avant l'instauration de la CLZ étaient associés à une meilleure réponse au traitement. La diminution de volume et de perfusion au niveau du cortex préfrontal (CPF) est observée malgré l'instauration de CLZ mais de façon moins importante chez les patients sous CLZ que chez les patients sous antipsychotiques typiques. Un plus grand volume au niveau du CPF avant l'instauration de la CLZ est associé à une meilleure réponse clinique dans la majorité des études. Enfin, la CLZ semble induire une réduction des altérations au niveau de la substance blanche. CONCLUSION Les corrélats anatomo-fonctionnels de la CLZ différent de ceux des autres antipsychotiques avec une action spécifique de la CLZ au niveau des ganglions de la base et du CPF pouvant participer à sa supériorité en termes de réponse clinique. Plusieurs données cliniques et d'imagerie conduisent à l'hypothèse d'un meilleur pronostic associé à une instauration plus rapide de la CLZ.
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Affiliation(s)
- Anaïs Vandevelde
- Normandie Univ, UNICAEN, ISTS, EA 7466, GIP 55388Cyceron, boulevard Henri-Becquerel, 14000 Caen, France.,26962Normandie Univ, UNICAEN, UFR de médecine (Medical School), 14000 Caen, France.,Anaïs Vandevelde et Lucie Métivier ont participé de la même façon à ce travail et sont co-premier auteurs
| | - Lucie Métivier
- 26962Normandie Univ, UNICAEN, UFR de médecine (Medical School), 14000 Caen, France.,CHU de Caen, centre Esquirol, service de psychiatrie, 14000 Caen, France.,Anaïs Vandevelde et Lucie Métivier ont participé de la même façon à ce travail et sont co-premier auteurs
| | - Sonia Dollfus
- Normandie Univ, UNICAEN, ISTS, EA 7466, GIP 55388Cyceron, boulevard Henri-Becquerel, 14000 Caen, France.,26962Normandie Univ, UNICAEN, UFR de médecine (Medical School), 14000 Caen, France.,CHU de Caen, centre Esquirol, service de psychiatrie, 14000 Caen, France
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11
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Brain morphology does not clearly map to cognition in individuals on the bipolar-schizophrenia-spectrum: a cross-diagnostic study of cognitive subgroups. J Affect Disord 2021; 281:776-785. [PMID: 33246649 DOI: 10.1016/j.jad.2020.11.064] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2020] [Accepted: 11/08/2020] [Indexed: 01/11/2023]
Abstract
BACKGROUND Characterisation of brain morphological features common to cognitively similar individuals with bipolar disorder (BD) and schizophrenia spectrum disorders (SSD) may be key to understanding their shared neurobiological deficits. In the current study we examined whether three previously characterised cross-diagnostic cognitive subgroups differed among themselves and in comparison to healthy controls across measures of brain morphology. METHOD T1-weighted structural magnetic resonance imaging scans were obtained for 143 individuals; 65 healthy controls and 78 patients (SSD, n = 40; BD I, n = 38) classified into three cross-diagnostic cognitive subgroups: Globally Impaired (n = 24), Selectively Impaired (n = 32), and Superior/Near-Normal (n = 22). Cognitive subgroups were compared to each other and healthy controls on three separate analyses investigating (1) global, (2) regional, and (3) vertex-wise comparisons of brain volume, thickness, and surface area. RESULTS No significant subgroup differences were evident in global measures of brain morphology. In region of interest analyses, the Selectively Impaired subgroup had greater right accumbens volume than those Superior/Near-Normal subgroup and healthy controls, and the Superior/Near-Normal subgroup had reduced volume of the left entorhinal region compared to all other groups. In vertex-wise comparisons, the Globally Impaired subgroup had greater right precentral volume than the Selectively Impaired subgroup, and thicker cortex in the postcentral region relative to the Superior/Near-Normal subgroup. LIMITATIONS Exploration of medication effects was limited in our data. CONCLUSIONS Although some differences were evident in this sample, generally cross-diagnostic cognitive subgroups of individuals with SSD and BD did not appear to be clearly distinguished by patterns in brain morphology.
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12
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Yang C, Tang J, Liu N, Yao L, Xu M, Sun H, Tao B, Gong Q, Cao H, Zhang W, Lui S. The Effects of Antipsychotic Treatment on the Brain of Patients With First-Episode Schizophrenia: A Selective Review of Longitudinal MRI Studies. Front Psychiatry 2021; 12:593703. [PMID: 34248691 PMCID: PMC8264251 DOI: 10.3389/fpsyt.2021.593703] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 05/28/2021] [Indexed: 02/05/2023] Open
Abstract
A large number of neuroimaging studies have detected brain abnormalities in first-episode schizophrenia both before and after treatment, but it remains unclear how these abnormalities reflect the effects of antipsychotic treatment on the brain. To summarize the findings in this regard and provide potential directions for future work, we reviewed longitudinal structural and functional imaging studies in patients with first-episode schizophrenia before and after antipsychotic treatment. A total of 36 neuroimaging studies was included, involving 21 structural imaging studies and 15 functional imaging studies. Both anatomical and functional brain changes in patients after treatment were consistently observed in the frontal and temporal lobes, basal ganglia, limbic system and several key components within the default mode network (DMN). Alterations in these regions were affected by factors such as antipsychotic type, course of treatment, and duration of untreated psychosis (DUP). Over all we showed that: (a) The striatum and DMN were core target regions of treatment in schizophrenia, and their changes were related to different antipsychotics; (b) The gray matter of frontal and temporal lobes tended to reduce after long-term treatment; and (c) Longer DUP was accompanied with faster hippocampal atrophy after initial treatment, which was also associated with poorer outcome. These findings are in accordance with previous notions but should be interpreted with caution. Future studies are needed to clarify the effects of different antipsychotics in multiple conditions and to identify imaging or other biomarkers that may predict antipsychotic treatment response. With such progress, it may help choose effective pharmacological interventional strategies for individuals experiencing recent-onset schizophrenia.
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Affiliation(s)
- Chengmin Yang
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Tang
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Naici Liu
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Li Yao
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Mengyuan Xu
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Hui Sun
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Bo Tao
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Qiyong Gong
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Hengyi Cao
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY, United States.,Division of Psychiatry Research, Zucker Hillside Hospital, Glen Oaks, NY, United States
| | - Wenjing Zhang
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
| | - Su Lui
- Huaxi MR Research Center, Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.,Functional and Molecular Imaging Key Laboratory of Sichuan Province, Psychoradiology Research Unit, Chinese Academy of Medical Sciences, West China Hospital, Sichuan University, Chengdu, China
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13
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McNabb CB, McIlwain ME, Anderson VM, Kydd RR, Sundram F, Russell BR. Aberrant white matter microstructure in treatment-resistant schizophrenia ✰. Psychiatry Res Neuroimaging 2020; 305:111198. [PMID: 33035754 DOI: 10.1016/j.pscychresns.2020.111198] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 09/28/2020] [Accepted: 09/28/2020] [Indexed: 02/01/2023]
Abstract
Treatment response in schizophrenia divides into three subcategories: treatment-responsive (first-line responders; FLR), treatment-resistant (TRS), and ultra-treatment-resistant schizophrenia (UTRS). White matter abnormalities could drive antipsychotic resistance but little work has investigated differences between TRS and UTRS. The current study aimed to establish whether differences in white matter structure are present across both treatment-resistant subtypes or if UTRS is distinct from TRS. Diffusion-weighted images were acquired for 18 individuals with TRS, 14 with UTRS, 18 FLR and 20 healthy controls. Measures of fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD) and axial diffusivity (AD) were obtained using tract-based spatial statistics. Analysis of variance and post-hoc t-tests were conducted for each measure. Those with TRS had lower FA than healthy controls in superior longitudinal fasciculus, corpus callosum, thalamic radiation, corticospinal tract, internal capsule, corona radiata and fronto-occipital fasciculus (p<.05 FWE-corrected). Lower FA was also observed in TRS compared with UTRS in the superior longitudinal fasciculus (p<.05 FWE-corrected). No post-hoc tests survived corrections for multiple comparisons and no differences in MD, AD or RD were observed. These data suggest that microstructural deficits in white matter could contribute to TRS but suggest that other mechanisms may be more relevant for UTRS.
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Affiliation(s)
- Carolyn B McNabb
- School of Pharmacy, University of Auckland, 85 Park Road, Grafton, Auckland 1023, New Zealand; School of Psychology and Clinical Language Sciences, University of Reading, Earley Gate, Reading RG6 7BE, United Kingdom
| | - Meghan E McIlwain
- School of Pharmacy, University of Auckland, 85 Park Road, Grafton, Auckland 1023, New Zealand
| | - Valerie M Anderson
- School of Pharmacy, University of Auckland, 85 Park Road, Grafton, Auckland 1023, New Zealand
| | - Robert R Kydd
- Department of Psychological Medicine, University of Auckland, Auckland City Hospital, 2 Park Road, Grafton, Auckland 1023, New Zealand
| | - Frederick Sundram
- Department of Psychological Medicine, University of Auckland, Auckland City Hospital, 2 Park Road, Grafton, Auckland 1023, New Zealand
| | - Bruce R Russell
- School of Pharmacy, University of Otago, PO Box 56, Dunedin 9054, New Zealand.
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14
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Shalbaf A, Bagherzadeh S, Maghsoudi A. Transfer learning with deep convolutional neural network for automated detection of schizophrenia from EEG signals. Phys Eng Sci Med 2020; 43:1229-1239. [DOI: 10.1007/s13246-020-00925-9] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 09/08/2020] [Indexed: 12/17/2022]
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15
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Characteristics of gray matter alterations in never-treated and treated chronic schizophrenia patients. Transl Psychiatry 2020; 10:136. [PMID: 32398765 PMCID: PMC7217843 DOI: 10.1038/s41398-020-0828-4] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 04/15/2020] [Accepted: 04/22/2020] [Indexed: 02/05/2023] Open
Abstract
Though gray matter deficits have been consistently revealed in chronic treated schizophrenia, it is still not clear whether there are different brain alterations between chronic never treated and treated patients. To explore the different patterns of gray matter alterations among chronic never treated patients and those treated with monotherapy, we recruited 35 never-treated chronic schizophrenia patients with illness durations ranging from 5 to 48 years, 20 illness duration-matched risperidone monotherapy and 20 clozapine monotherapy patients, and 55 healthy controls. GM (surface area, cortical thickness, and cortical volume) measures were extracted and compared using ANCOVA across the four groups followed by post hoc tests. Relative to controls, both treated and never-treated chronic schizophrenia patients showed reduced GM mainly involving the bilateral medial and rostral middle frontal, left banks superior temporal sulcus, left fusiform, and left pericalcarine cortex and increased in the left cuneus. Compared with the untreated patient group, the two treated groups showed reductions mainly in the bilateral prefrontal, temporal, and left inferior parietal lobules. The clozapine monotherapy patients demonstrated more severe decreases in the bilateral prefrontal cortex and left cuneus and less severe decreases in the left ventral temporal lobe than risperidone monotherapy patients. These findings provide new insights into the long-term effects of antipsychotic treatment on gray matter alterations in schizophrenia patients. Furthermore, the characteristic findings of reductions in the inferior parietal lobule might be specific for long-term antipsychotic treatment, which could be a possible target for medication development in the future.
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16
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Molina V, Sánchez J, Sanz J, Reig S, Benito C, Leal I, Sarramea F, Rebolledo R, Palomo T, Desco M. Dorsolateral prefrontal N-acetyl-aspartate concentration in male patients with chronic schizophrenia and with chronic bipolar disorder. Eur Psychiatry 2020; 22:505-12. [PMID: 17904824 DOI: 10.1016/j.eurpsy.2007.07.006] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2007] [Revised: 07/18/2007] [Accepted: 07/24/2007] [Indexed: 10/22/2022] Open
Abstract
AbstractObjectivesA study of N-acetyl-aspartate (NAA) can provide data of interest about cortical alterations in psychotic illnesses. Although a decreased NAA level in the cerebral cortex is a replicated finding in chronic schizophrenia, the data are less consistent for bipolar disease. On the other hand, it is likely that NAA values in schizophrenia may differ in men and women.MethodsWe used proton magnetic resonance spectroscopy (1H MRS) to examine NAA levels in the prefrontal cortex in two groups of male patients, one with schizophrenia (n = 11) and the other with bipolar disorder (n = 13) of similar duration, and compared them to a sample of healthy control males (n = 10). Additionally, we compared the degree of structural deviations from normal volumes of gray matter (GM) and cerebrospinal fluid (CSF) in the dorsolateral prefrontal cortex.ResultsCompared to controls, schizophrenia and bipolar patients presented decreased NAA to creatine ratios, while only the schizophrenia group showed an increase in CSF in the dorsolateral prefrontal region. There were no differences in choline to creatine ratios among the groups.ConclusionsThese data suggest that the decrease in NAA in the prefrontal region may be similar in schizophrenia and bipolar disorder, at least in the chronic state. However, cortical CSF may be markedly increased in schizophrenia patients.
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Affiliation(s)
- V Molina
- Department of Psychiatry, Hospital Clínico Universitario, Paseo de San Vicente 58-182, E-37007 Salamanca, Spain.
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17
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Kochunov P, Huang J, Chen S, Li Y, Tan S, Fan F, Feng W, Wang Y, Rowland LM, Savransky A, Du X, Chiappelli J, Chen S, Jahanshad N, Thompson PM, Ryan MC, Adhikari B, Sampath H, Cui Y, Wang Z, Yang F, Tan Y, Hong LE. White Matter in Schizophrenia Treatment Resistance. Am J Psychiatry 2019; 176:829-838. [PMID: 31352812 PMCID: PMC6773514 DOI: 10.1176/appi.ajp.2019.18101212] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
OBJECTIVE Failure of antipsychotic medications to resolve symptoms in patients with schizophrenia creates a clinical challenge that is known as treatment resistance. The causes of treatment resistance are unknown, but it is associated with earlier age at onset and more severe cognitive deficits. The authors tested the hypothesis that white matter deficits that are involved in both neurodevelopment and severity of cognitive deficits in schizophrenia are associated with a higher risk of treatment resistance. METHODS The study sample (N=122; mean age, 38.2 years) included schizophrenia patients at treatment initiation (N=45), patients whose symptoms were treatment responsive (N=40), and patients whose symptoms were treatment resistant (N=37), as well as healthy control subjects (N=78; mean age, 39.2 years). White matter regional vulnerability index (RVI) was tested as a predictor of treatment resistance and cognitive deficits. Higher RVI is indicative of better agreement between diffusion tensor imaging fractional anisotropy across the brain in an individual and the pattern identified by the largest-to-date meta-analysis of white matter deficits in schizophrenia. RESULTS Patients with treatment-resistant symptoms showed the highest white matter RVI (mean=0.38 [SD=0.2]), which was significantly higher than the RVI among patients with treatment-responsive symptoms (mean=0.30 [SD=0.02]). At the onset of treatment, schizophrenia patients showed significantly higher RVI than healthy control subjects (mean=0.18 [SD=0.03] and mean=0.13 [SD=0.02], respectively). RVIs were significantly correlated with performance on processing speed and negative symptoms. CONCLUSIONS Schizophrenia affects white matter microstructure in specific regional patterns. Susceptibility to white matter regional deficits is associated with an increased likelihood of treatment resistance. Developments to overcome schizophrenia treatment resistance should consider white matter as an important target.
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Affiliation(s)
- Peter Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA,Corresponding Authors: Dr. Kochunov (), Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA, Phone: (410) 402-6110, Fax: (410) 402-6778; Dr. Tan (), Beijing Huilongguan Hospital, Peking University, Huilongguan Clinical Medical School, Beijing, P. R. China, Phone: (800) 010-83024532, Fax: (800) 010-83020156
| | - Junchao Huang
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Song Chen
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Yanli Li
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Shuping Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Fengmei Fan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Wei Feng
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Yunhui Wang
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Laura M. Rowland
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Anya Savransky
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Xiaoming Du
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Joshua Chiappelli
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Shuo Chen
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Neda Jahanshad
- Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Paul M. Thompson
- Imaging Genetics Center, Stevens Institute for Neuroimaging & Informatics, Keck School of Medicine of USC, Marina del Rey, CA, USA
| | - Meghann C. Ryan
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Bhim Adhikari
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hemalatha Sampath
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Yimin Cui
- Department of Pharmacy, Peking University First Hospital, Beijing, P.R. China
| | - Zhiren Wang
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Fude Yang
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China
| | - Yunlong Tan
- Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School, Beijing, P. R. China,Corresponding Authors: Dr. Kochunov (), Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA, Phone: (410) 402-6110, Fax: (410) 402-6778; Dr. Tan (), Beijing Huilongguan Hospital, Peking University, Huilongguan Clinical Medical School, Beijing, P. R. China, Phone: (800) 010-83024532, Fax: (800) 010-83020156
| | - L. Elliot Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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18
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Barry EF, Vanes LD, Andrews DS, Patel K, Horne CM, Mouchlianitis E, Hellyer PJ, Shergill SS. Mapping cortical surface features in treatment resistant schizophrenia with in vivo structural MRI. Psychiatry Res 2019; 274:335-344. [PMID: 30851596 DOI: 10.1016/j.psychres.2019.02.028] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Revised: 02/12/2019] [Accepted: 02/12/2019] [Indexed: 12/16/2022]
Abstract
Decreases in cortical volume (CV), thickness (CT) and surface area (SA) have been reported in individuals with schizophrenia by in vivo MRI studies. However, there are few studies that examine these cortical measures as potential biomarkers of treatment resistance (TR) and treatment response (NTR) in schizophrenia. This study used structural MRI to examine differences in CV, CT, and SA in 42 adults with schizophrenia (TR = 21, NTR = 21) and 23 healthy controls (HC) to test the hypothesis that individuals with TR schizophrenia have significantly greater reductions in these cortical measures compared to individuals with NTR schizophrenia. We found that individuals with TR schizophrenia showed significant reductions in CV and CT compared to individuals with NTR schizophrenia in right frontal and precentral regions, right parietal and occipital cortex, left temporal cortex and bilateral cingulate cortex. In line with previous literature, the temporal lobe and cingulate gyrus in both patient groups showed significant reductions of all three measures when compared to healthy controls. Taken together these results suggest that regional changes in CV and CT may index mechanisms specific to TR schizophrenia and potentially identify patients with TR schizophrenia for earlier treatment.
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Affiliation(s)
- Erica F Barry
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Department of Clinical Sciences, Cornell University College of Veterinary Medicine, Ithaca, NY, USA
| | - Lucy D Vanes
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Derek S Andrews
- Department of Forensic and Neurodevelopmental Sciences, Sackler Institute for Translational Neurodevelopment, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Krisna Patel
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Charlotte M Horne
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK.
| | - Elias Mouchlianitis
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Peter J Hellyer
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK; Centre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - Sukhi S Shergill
- Cognition Schizophrenia and Imaging Lab, Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
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19
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Widespread white-matter microstructure integrity reduction in first-episode schizophrenia patients after acute antipsychotic treatment. Schizophr Res 2019; 204:238-244. [PMID: 30177343 DOI: 10.1016/j.schres.2018.08.021] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 07/21/2018] [Accepted: 08/13/2018] [Indexed: 02/05/2023]
Abstract
Potential effects of initiating acute antipsychotic treatment on white matter (WM) microstructure in schizophrenia patients remain poorly characterized. Thirty-five drug-naïve first-episode schizophrenia patients were scanned before and after six weeks of treatment with second-generation antipsychotic medications. Nineteen demographically matched healthy subjects were scanned twice over the same time interval. Tract-based spatial statistics was used to test for changes in WM microstructural integrity after treatment. Widespread fractional anisotropy (FA) decrease was found in patients after antipsychotic treatment in bilateral posterior corona radiata, anterior corona radiata, superior corona radiata and posterior thalamic radiation, left posterior limb of the internal capsule, and mid-body of the corpus callosum. These effects appeared to result primarily from decreased axial diffusivity. These findings suggest an effect on brain white matter from acute antipsychotic therapy in schizophrenia.
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Corpus callosum volumes in the 5 years following the first-episode of schizophrenia: Effects of antipsychotics, chronicity and maturation. NEUROIMAGE-CLINICAL 2018; 18:932-942. [PMID: 29876278 PMCID: PMC5988462 DOI: 10.1016/j.nicl.2018.03.015] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 02/19/2018] [Accepted: 03/14/2018] [Indexed: 01/27/2023]
Abstract
Background White matter (WM) structural changes, particularly affecting the corpus callosum (CC), seem to be critically implicated in psychosis. Whether such abnormalities are progressive or static is still a matter of debate in schizophrenia research. Aberrant maturation processes might also influence the longitudinal trajectory of age-related CC changes in schizophrenia patients. We investigated whether patients with first-episode schizophrenia-related psychoses (FESZ) would present longitudinal CC and whole WM volume changes over the 5 years after disease onset. Method Thirty-two FESZ patients and 34 controls recruited using a population-based design completed a 5-year assessment protocol, including structural MRI scanning at baseline and follow-up. The linear effects of disease duration, clinical outcome and antipsychotic (AP) use over time on WM and CC volumes were studied using both voxelwise and volume-based morphometry analyses. We also examined maturation/aging abnormalities through cross-sectional analyses of age-related trajectories of total WM and CC volume changes. Results No interaction between diagnosis and time was observed, and clinical outcome did not influence CC volumes in patients. On the other hand, FESZ patients continuously exposed to AP medication showed volume increase over time in posterior CC. Curve-estimation analyses revealed a different aging pattern in FESZ patients versus controls: while patients displayed a linear decline of total WM and anterior CC volumes with age, a non-linear trajectory of total WM and relative preservation of CC volumes were observed in controls. Conclusions Continuous AP exposure can influence CC morphology during the first years after schizophrenia onset. Schizophrenia is associated with an abnormal pattern of total WM and anterior CC aging during non-elderly adulthood, and this adds complexity to the discussion on the static or progressive nature of structural abnormalities in psychosis.
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Key Words
- AP, antipsychotics
- CC, corpus callosum
- Corpus callosum
- FEP, first episode of psychosis
- FESZ, First-episode of schizophrenia-related psychoses
- GM, gray matter
- MEM, mixed-effects model
- Magnetic resonance imaging
- Psychosis
- ROI, region-of-interest
- Schizophrenia
- VBM, voxel-based morphometry
- VolBM, volume-based morphometry
- WM, white matter
- White matter
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Di Biase MA, Cropley VL, Baune BT, Olver J, Amminger GP, Phassouliotis C, Bousman C, McGorry PD, Everall I, Pantelis C, Zalesky A. White matter connectivity disruptions in early and chronic schizophrenia. Psychol Med 2017; 47:2797-2810. [PMID: 28528586 DOI: 10.1017/s0033291717001313] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND White matter disruptions in schizophrenia have been widely reported, but it remains unclear whether these abnormalities differ between illness stages. We mapped the connectome in patients with recently diagnosed and chronic schizophrenia and investigated the extent and overlap of white matter connectivity disruptions between these illness stages. METHODS Diffusion-weighted magnetic resonance images were acquired in recent-onset (n = 19) and chronic patients (n = 45) with schizophrenia, as well as age-matched controls (n = 87). Whole-brain fiber tracking was performed to quantify the strength of white matter connections. Connections were tested for significant streamline count reductions in recent-onset and chronic groups, relative to separate age-matched controls. Permutation tests were used to assess whether disrupted connections significantly overlapped between chronic and recent-onset patients. Linear regression was performed to test whether connectivity was strongest in controls, weakest in chronic patients, and midway between these extremities in recent-onset patients (controls > recent-onset > chronic). RESULTS Compared with controls, chronic patients displayed a widespread network of connectivity disruptions (p < 0.01). In contrast, connectivity reductions were circumscribed to the anterior fibers of the corpus callosum in recent-onset patients (p < 0.01). A significant proportion of disrupted connections in recent-onset patients (86%) coincided with disrupted connections in chronic patients (p < 0.01). Linear regression revealed that chronic patients displayed reduced connectivity relative to controls, while recent-onset patients showed an intermediate reduction compared with chronic patients (p < 0.01). CONCLUSIONS Connectome pathology in recent-onset patients with schizophrenia is confined to select tracts within a more extensive network of white matter connectivity disruptions found in chronic illness. These findings may suggest a trajectory of progressive deterioration of connectivity in schizophrenia.
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Affiliation(s)
- M A Di Biase
- Department of Psychiatry,Melbourne Neuropsychiatry Centre,The University of Melbourne and Melbourne Health,Carlton South, VIC,Australia
| | - V L Cropley
- Department of Psychiatry,Melbourne Neuropsychiatry Centre,The University of Melbourne and Melbourne Health,Carlton South, VIC,Australia
| | - B T Baune
- Discipline of Psychiatry,The University of Adelaide,SA,Australia
| | - J Olver
- Department of Psychiatry,The University of Melbourne,Parkville, VIC,Australia
| | - G P Amminger
- Orygen,The National Centre of Excellence in Youth Mental Health,VIC,Australia
| | - C Phassouliotis
- Department of Psychiatry,Melbourne Neuropsychiatry Centre,The University of Melbourne and Melbourne Health,Carlton South, VIC,Australia
| | - C Bousman
- Department of Psychiatry,Melbourne Neuropsychiatry Centre,The University of Melbourne and Melbourne Health,Carlton South, VIC,Australia
| | - P D McGorry
- North Western Mental Health,Melbourne Health,Parkville, VIC,Australia
| | - I Everall
- Department of Psychiatry,The University of Melbourne,Parkville, VIC,Australia
| | - C Pantelis
- Department of Psychiatry,Melbourne Neuropsychiatry Centre,The University of Melbourne and Melbourne Health,Carlton South, VIC,Australia
| | - A Zalesky
- Department of Psychiatry,Melbourne Neuropsychiatry Centre,The University of Melbourne and Melbourne Health,Carlton South, VIC,Australia
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Nørbak-Emig H, Pinborg LH, Raghava JM, Svarer C, Baaré WFC, Allerup P, Friberg L, Rostrup E, Glenthøj B, Ebdrup BH. Extrastriatal dopamine D 2/3 receptors and cortical grey matter volumes in antipsychotic-naïve schizophrenia patients before and after initial antipsychotic treatment. World J Biol Psychiatry 2017; 18:539-549. [PMID: 27782768 DOI: 10.1080/15622975.2016.1237042] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Long-term dopamine D2/3 receptor blockade, common to all antipsychotics, may underlie progressive brain volume changes observed in patients with chronic schizophrenia. In the present study, we examined associations between cortical volume changes and extrastriatal dopamine D2/3 receptor binding potentials (BPND) in first-episode schizophrenia patents at baseline and after antipsychotic treatment. METHODS Twenty-two initially antipsychotic-naïve patients underwent magnetic resonance imaging (MRI), [123I]epidepride single-photon emission computerised tomography (SPECT), and psychopathology assessments before and after 3 months of treatment with either risperidone (N = 13) or zuclopenthixol (N = 9). Twenty healthy controls matched on age, gender and parental socioeconomic status underwent baseline MRI and SPECT. RESULTS Neither extrastriatal D2/3 receptor BPND at baseline, nor blockade at follow-up, was related to regional cortical volume changes. In post-hoc analyses excluding three patients with cannabis use we found that higher D2/3 receptor occupancy was significantly associated with an increase in right frontal grey matter volume. CONCLUSIONS The present data do not support an association between extrastriatal D2/3 receptor blockade and extrastriatal grey matter loss in the early phases of schizophrenia. Although inconclusive, our exclusion of patients tested positive for cannabis use speaks to keeping attention to potential confounding factors in imaging studies.
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Affiliation(s)
- Henrik Nørbak-Emig
- a Centre for Neuropsychiatric Schizophrenia Research, CNSR & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre, Glostrup, University of Copenhagen , Denmark.,b Faculty of Health and Medical Sciences, Department of Clinical Medicine , University of Copenhagen , Denmark
| | - Lars H Pinborg
- c Neurobiology Research Unit and Epilepsy Clinic, Rigshospitalet, University of Copenhagen , Denmark
| | - Jayachandra M Raghava
- a Centre for Neuropsychiatric Schizophrenia Research, CNSR & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre, Glostrup, University of Copenhagen , Denmark.,d Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet - Glostrup , University of Copenhagen , Denmark
| | - Claus Svarer
- c Neurobiology Research Unit and Epilepsy Clinic, Rigshospitalet, University of Copenhagen , Denmark
| | - William F C Baaré
- e Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Hvidovre Hospital, University of Copenhagen , Denmark
| | - Peter Allerup
- f Institute for Education (DPU), Aarhus University , Denmark
| | - Lars Friberg
- g Department of Clinical Physiology and Nuclear Medicine , Bispebjerg Hospital, University of Copenhagen , Denmark
| | - Egill Rostrup
- d Functional Imaging Unit, Department of Clinical Physiology and Nuclear Medicine, Rigshospitalet - Glostrup , University of Copenhagen , Denmark
| | - Birte Glenthøj
- a Centre for Neuropsychiatric Schizophrenia Research, CNSR & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre, Glostrup, University of Copenhagen , Denmark.,b Faculty of Health and Medical Sciences, Department of Clinical Medicine , University of Copenhagen , Denmark
| | - Bjørn H Ebdrup
- a Centre for Neuropsychiatric Schizophrenia Research, CNSR & Centre for Clinical Intervention and Neuropsychiatric Schizophrenia Research, CINS, Mental Health Centre, Glostrup, University of Copenhagen , Denmark
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Kaneta H, Ukai W, Tsujino H, Furuse K, Kigawa Y, Tayama M, Ishii T, Hashimoto E, Kawanishi C. Antipsychotics promote GABAergic interneuron genesis in the adult rat brain: Role of heat-shock protein production. J Psychiatr Res 2017; 92:108-118. [PMID: 28414930 DOI: 10.1016/j.jpsychires.2017.03.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Revised: 03/07/2017] [Accepted: 03/08/2017] [Indexed: 02/07/2023]
Abstract
Current antipsychotics reduce positive symptoms and reverse negative symptoms in conjunction with cognitive behavioral issues with the goal of restoring impaired occupational and social functioning. However, limited information is available on their influence on gliogenesis or their neurogenic properties in adult schizophrenia brains, particularly on GABAergic interneuron production. In the present study, we used young adult subventricular zone (SVZ)-derived progenitor cells expressing proteoglycan NG2 cultures to examine the oligodendrocyte and GABAergic interneuron genesis effects of several kinds of antipsychotics on changes in differentiation function induced by exposure to the NMDA receptor antagonist MK-801. We herein demonstrated that antipsychotics promoted or restored changes in the oligodendrocyte/GABAergic interneuron differentiation functions of NG2(+) cells induced by the exposure to MK-801, which was considered to be one of the drug-induced schizophrenia model. We also demonstrated that antipsychotics restored heat-shock protein (HSP) production in NG2(+) cells with differentiation impairment. The antipsychotics olanzapine, aripiprazole, and blonanserin, but not haloperidol increased HSP90 levels, which were reduced by the exposure to MK-801. Our results showed that antipsychotics, particularly those recently synthesized, exerted similar GABAergic interneuron genesis effects on NG2(+) neuronal/glial progenitor cells in the adult rat brain by increasing cellular HSP production, and also suggest that HSP90 may play a crucial role in the pathophysiology of schizophrenia and is a key target for next drug development.
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Affiliation(s)
- Hiroo Kaneta
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
| | - Wataru Ukai
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
| | - Hanako Tsujino
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
| | - Kengo Furuse
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
| | - Yoshiyasu Kigawa
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
| | - Masaya Tayama
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
| | - Takao Ishii
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
| | - Eri Hashimoto
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
| | - Chiaki Kawanishi
- Department of Neuropsychiatry, Sapporo Medical University, School of Medicine, S-1, W-16, Chuo-ku, Sapporo, 0608543, Japan.
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Huhtaniska S, Jääskeläinen E, Heikka T, Moilanen JS, Lehtiniemi H, Tohka J, Manjón JV, Coupé P, Björnholm L, Koponen H, Veijola J, Isohanni M, Kiviniemi V, Murray GK, Miettunen J. Long-term antipsychotic and benzodiazepine use and brain volume changes in schizophrenia: The Northern Finland Birth Cohort 1966 study. Psychiatry Res Neuroimaging 2017; 266:73-82. [PMID: 28618327 DOI: 10.1016/j.pscychresns.2017.05.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Revised: 05/12/2017] [Accepted: 05/19/2017] [Indexed: 11/22/2022]
Abstract
High doses of antipsychotics have been associated with loss in cortical and total gray matter in schizophrenia. However, previous imaging studies have not taken benzodiazepine use into account, in spite of evidence suggesting adverse effects such as cognitive impairment and increased mortality. In this Northern Finland Birth Cohort 1966 study, 69 controls and 38 individuals with schizophrenia underwent brain MRI at the ages of 34 and 43 years. At baseline, the average illness duration was over 10 years. Brain structures were delineated using an automated volumetry system, volBrain, and medication data on cumulative antipsychotic and benzodiazepine doses were collected using medical records and interviews. We used linear regression with intracranial volume and sex as covariates; illness severity was also taken into account. Though both medication doses associated to volumetric changes in subcortical structures, after adjusting for each other and the average PANSS total score, higher scan-interval antipsychotic dose associated only to volume increase in lateral ventricles and higher benzodiazepine dose associated with volume decrease in the caudate nucleus. To our knowledge, there are no previous studies reporting associations between benzodiazepine dose and brain structural changes. Further studies should focus on how these observations correspond to cognition and functioning.
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Affiliation(s)
- Sanna Huhtaniska
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland.
| | - Erika Jääskeläinen
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Oulu University Hospital, P.O. Box 26, FIN-90029 Oulu, Finland
| | - Tuomas Heikka
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland
| | - Jani S Moilanen
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Oulu University Hospital, P.O. Box 26, FIN-90029 Oulu, Finland
| | - Heli Lehtiniemi
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland
| | - Jussi Tohka
- A.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, P.O. Box 1627, FIN-70211 Kuopio, Finland
| | - José V Manjón
- Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
| | - Pierrick Coupé
- Laboratoire Bordelais de Recherche en Informatique, Unité Mixte de Recherche CNRS (UMR 5800), PICTURA Research Group, France
| | - Lassi Björnholm
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland
| | - Hannu Koponen
- Department of Psychiatry, University of Helsinki and Helsinki University Hospital, P.O. Box 22, University of Helsinki, Finland
| | - Juha Veijola
- Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Oulu University Hospital, P.O. Box 26, FIN-90029 Oulu, Finland
| | - Matti Isohanni
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Oulu University Hospital, P.O. Box 26, FIN-90029 Oulu, Finland
| | - Vesa Kiviniemi
- Department of Diagnostic Radiology, Oulu University Hospital, P.O. Box 50, FIN-90029 Oulu, Finland
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge, Addenbrooke's Hospital, Box 189, Cambridge CB2 2QQ, UK; Behavioural and Clinical Neuroscience Institute, University of Cambridge, Downing Site, Cambridge CB2 3EB, UK
| | - Jouko Miettunen
- Center for Life Course Health Research, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Medical Research Center Oulu, Oulu University Hospital and University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland; Department of Psychiatry, Research Unit of Clinical Neuroscience, University of Oulu, P.O. Box 5000, FIN-90014 Oulu, Finland
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25
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Abnormal Trajectory of Intracortical Myelination in Schizophrenia Implicates White Matter in Disease Pathophysiology and the Therapeutic Mechanism of Action of Antipsychotics. BIOLOGICAL PSYCHIATRY: COGNITIVE NEUROSCIENCE AND NEUROIMAGING 2017; 3:454-462. [PMID: 29735155 DOI: 10.1016/j.bpsc.2017.03.007] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 02/08/2017] [Accepted: 03/05/2017] [Indexed: 01/11/2023]
Abstract
BACKGROUND Postmortem and imaging studies provide converging evidence that the frontal lobe myelination trajectory is dysregulated in schizophrenia (SZ) and suggest that early in treatment, antipsychotic medications increase intracortical myelin (ICM). We used magnetic resonance imaging to examine whether the ICM trajectory in SZ is dysregulated and altered by antipsychotic treatment. METHODS We examined 93 subjects with SZ (64 men and 29 women) taking second-generation oral antipsychotics with medication exposures of 0-333 months in conjunction with 80 healthy control subjects (52 men and 28 women). Frontal lobe ICM volume was estimated using a novel dual contrast magnetic resonance imaging method that combines two images that track different tissue components. RESULTS When plotted against oral antipsychotic exposure duration, ICM of subjects with SZ was higher as a function of medication exposure during the first year of treatment but declined thereafter. In the age range examined, ICM of subjects with SZ was lower with increased age, while ICM of healthy control subjects was not. CONCLUSIONS In adults with SZ, the relationship between length of exposure to oral second-generation antipsychotics and ICM was positive during the first year of treatment but was negative after this initial period, consistent with suboptimal later adherence after initial adherence. This ICM trajectory resembles clinically observed antipsychotic response trajectory with high rates of remission in the first year followed by progressively lower response rates. The results support postmortem evidence that SZ pathophysiology involves ICM deficits and suggest that correcting these deficits may be an important mechanism of action for antipsychotics.
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Gillespie AL, Samanaite R, Mill J, Egerton A, MacCabe JH. Is treatment-resistant schizophrenia categorically distinct from treatment-responsive schizophrenia? a systematic review. BMC Psychiatry 2017; 17:12. [PMID: 28086761 PMCID: PMC5237235 DOI: 10.1186/s12888-016-1177-y] [Citation(s) in RCA: 145] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 12/23/2016] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND Schizophrenia is a highly heterogeneous disorder, and around a third of patients are treatment-resistant. The only evidence-based treatment for these patients is clozapine, an atypical antipsychotic with relatively weak dopamine antagonism. It is plausible that varying degrees of response to antipsychotics reflect categorically distinct illness subtypes, which would have significant implications for research and clinical practice. If these subtypes could be distinguished at illness onset, this could represent a first step towards personalised medicine in psychiatry. This systematic review investigates whether current evidence supports conceptualising treatment-resistant and treatment-responsive schizophrenoa as categorically distinct subtypes. METHOD A systematic literature search was conducted, using PubMed, EMBASE, PsycInfo, CINAHL and OpenGrey databases, to identify all studies which compared treatment-resistant schizophrenia (defined as either a lack of response to two antipsychotic trials or clozapine prescription) to treatment-responsive schizophrenia (defined as known response to non-clozapine antipsychotics). RESULTS Nineteen studies of moderate quality met inclusion criteria. The most robust findings indicate that treatment-resistant patients show glutamatergic abnormalities, a lack of dopaminergic abnormalities, and significant decreases in grey matter compared to treatment-responsive patients. Treatment-resistant patients were also reported to have higher familial loading; however, no individual gene-association study reported their findings surviving correction for multiple comparisons. CONCLUSIONS Tentative evidence supports conceptualising treatment-resistant schizophrenia as a categorically different illness subtype to treatment-responsive schizophrenia. However, research is limited and confirmation will require replication and rigorously controlled studies with large sample sizes and prospective study designs.
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Affiliation(s)
- Amy L. Gillespie
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF UK
| | - Ruta Samanaite
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF UK
| | - Jonathan Mill
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK ,University of Exeter Medical School, Exeter University, St Luke’s Campus, Exeter, UK
| | - Alice Egerton
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF UK
| | - James H. MacCabe
- Psychosis Studies Department, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, 16 De Crespigny Park, Denmark Hill, London, SE5 8AF UK
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27
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Harvey PD, Rosenthal JB. Treatment resistant schizophrenia: Course of brain structure and function. Prog Neuropsychopharmacol Biol Psychiatry 2016; 70:111-6. [PMID: 26925705 DOI: 10.1016/j.pnpbp.2016.02.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2015] [Revised: 02/08/2016] [Accepted: 02/21/2016] [Indexed: 01/21/2023]
Abstract
Approximately 30% of people with schizophrenia manifest a minimal response to conventional and atypical antipsychotic medications and manifest continuous symptoms of psychosis, with this condition referred to as "treatment resistant schizophrenia (TRS)". There are several neurobiological consequences of continuous psychosis, including regional cortical atrophy and ventricular enlargement. Pharmacological treatments are available for TRS, with at least 1/3 of patients responding to treatment with clozapine. In this paper we review the evidence regarding the course of treatment resistant schizophrenia, as well as changes in brain structure and function in psychosis and on the possible role of clozapine treatment in altering cortical deterioration in patients with TRS.
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Affiliation(s)
- Philip D Harvey
- University of Miami Miller School of Medicine, United States; Research Service, Bruce W. Carter VA Medical Center, Miami, FL, United States.
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28
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Kim MK, Kim B, Lee KS, Kim CM, Bang SY, Choi TK, Lee SH. White-matter connectivity related to paliperidone treatment response in patients with schizophrenia. J Psychopharmacol 2016; 30:294-302. [PMID: 26755544 DOI: 10.1177/0269881115625114] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
The objective of this study was to examine whether white-matter (WM) connectivity of patients with schizophrenia at early stage of treatment is related to treatment response after paliperidone extended-release (ER) treatment. Forty-one patients with schizophrenia and 17 age- and sex-matched healthy control subjects were included in this study. Brain magnetic resonance scans at 3 Tesla were conducted at early stage of treatment. Voxel-wise statistical analysis of the fractional anisotropy (FA) data was performed using Tract-Based Spatial Statistics. At baseline and eight weeks after paliperidone treatment, patients were assessed using the Positive and Negative Syndrome Scale, the Scale for the Assessment of Positive Symptoms and the Scale for the Assessment of Negative Symptoms. Among the patients with schizophrenia, the FA values of the corpus callosum, corona radiata, internal capsule, external capsule, superior longitudinal fasciculus and fronto-temporal WM regions showed significant negative correlations with scores of the treatment response. The current study suggests that the treatment response after paliperidone ER treatment may be associated with the fronto-temporo-limbic WM connectivity at early stage of treatment in patients with schizophrenia, and it could be used as a predictor of treatment response to paliperidone ER treatment after studies with large samples verify these results.
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Affiliation(s)
- Min-Kyoung Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Borah Kim
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Kang Soo Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Chan Mo Kim
- Department of Business Administration, Kwangwoon University, Seoul, Republic of Korea
| | - Seong Yun Bang
- Department of Public Health, Graduate School of Health and Welfare, CHA University, Seongnam, Republic of Korea
| | - Tai Kiu Choi
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
| | - Sang-Hyuk Lee
- Department of Psychiatry, CHA Bundang Medical Center, CHA University, Seongnam, Republic of Korea
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Abstract
This article reviews the results of longitudinal studies on frontal brain volume reduction in patients with schizophrenia spectrum disorders and focuses on the relationship with antipsychotic treatment. Based on a systematic literature search all studies were included in which results on changes of brain volumes over a longer period of time were correlated with antipsychotic treatment dose and disease severity. The findings indicate that there is evidence for grey and white matter volume changes of the frontal brain, which cannot be explained by the severity of the disease alone but are also very likely a manifestation of long-term effects of antipsychotics. Whether second generation antipsychotics have an advantage compared to first generation antipsychotics is currently unclear. Considering the contribution of antipsychotics to the changes in brain structure, which seem to depend on cumulative dosage and can exert adverse effects on neurocognition, negative and positive symptoms and psychosocial functioning, the guidelines for antipsychotic long-term drug treatment should be reconsidered. This is the reason why we and others recommend prescribing the lowest dose necessary to control symptoms. In non-schizophrenic psychiatric disorders, antipsychotics should be used only with great caution after a careful risk-benefit assessment. Moreover, treatment approaches which can help to minimize antipsychotic medication or even administer them only selectively are of increasing importance.
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Garcia GJ, Chagas MH, Silva CH, Machado-de-Sousa JP, Crippa JA, Hallak JE. Structural and functional neuroimaging findings associated with the use of clozapine in schizophrenia: a systematic review. BRAZILIAN JOURNAL OF PSYCHIATRY 2015; 37:71-9. [PMID: 25806554 DOI: 10.1590/1516-4446-2014-1387] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2014] [Accepted: 05/02/2014] [Indexed: 01/23/2023]
Abstract
OBJECTIVE Schizophrenia is one of the most severe psychiatric disorders, and its current treatment relies on antipsychotic medications with only partial effectiveness. Clozapine is an atypical antipsychotic with a specific profile of action indicated for treatment-resistant schizophrenia. Neuroimaging studies assessing the effects of clozapine could help shed light on the neural underpinnings of the effects of this drug in the brain. The objective of this study was to review the available literature on the structural and functional neuroimaging findings associated with use of clozapine. METHOD We conducted a systematic review of the indexed literature using the PubMed, BIREME, and ISI Web of Knowledge search engines and the following keywords: clozapine, neuroimaging, computed tomography, MRI, functional magnetic resonance, PET, SPECT, and DTI. RESULTS A total of 23 articles were included in the review. In structural studies, the use of clozapine was associated with volume reductions in the basal ganglia, especially the caudate nucleus, where functional neuroimaging studies also found decreased perfusion. In the frontal lobe, clozapine treatment was associated with increased gray matter volume and reduced perfusion. CONCLUSION The results of the studies reviewed suggest that the use of clozapine is associated with distinctive structural and functional neuroimaging findings that are not shared with other antipsychotics.
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Affiliation(s)
- Giovana J Garcia
- Department of Neuroscience and Behavior, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - Marcos H Chagas
- Department of Neuroscience and Behavior, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - Carlos H Silva
- Department of Neuroscience and Behavior, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - João P Machado-de-Sousa
- Department of Neuroscience and Behavior, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - José A Crippa
- Department of Neuroscience and Behavior, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil
| | - Jaime E Hallak
- Department of Neuroscience and Behavior, Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil
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31
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Vita A, De Peri L, Deste G, Barlati S, Sacchetti E. The Effect of Antipsychotic Treatment on Cortical Gray Matter Changes in Schizophrenia: Does the Class Matter? A Meta-analysis and Meta-regression of Longitudinal Magnetic Resonance Imaging Studies. Biol Psychiatry 2015; 78:403-12. [PMID: 25802081 DOI: 10.1016/j.biopsych.2015.02.008] [Citation(s) in RCA: 191] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Revised: 01/01/2015] [Accepted: 02/05/2015] [Indexed: 11/17/2022]
Abstract
BACKGROUND Deficits in cortical gray matter (GM) have been found in patients with schizophrenia, with evidence of progression over time. The aim of this study was to determine the role of potential moderators of such changes, in particular of the amount and type of antipsychotic medication intake. METHODS Longitudinal magnetic resonance imaging studies comparing changes in the volume of cortical GM over time between patients with schizophrenia and healthy control subjects published between January 1, 1983, and March 31, 2014, were analyzed. Hedges' g was calculated for each study and volume changes from baseline to follow-up were analyzed. Meta-regression statistics were applied to investigate the role of potential moderators of the effect sizes. RESULTS Eighteen studies involving 1155 patients with schizophrenia and 911 healthy control subjects were included. Over time, patients with schizophrenia showed a significantly higher loss of total cortical GM volume. This was related to cumulative antipsychotic intake during the interval between scans in the whole study sample. Subgroup meta-analyses of studies on patients treated with second-generation antipsychotics and first-generation antipsychotics revealed a different and contrasting moderating role of medication intake on cortical GM changes: more progressive GM loss correlated with higher mean daily antipsychotic intake in patients treated with at least one first-generation antipsychotic and less progressive GM loss with higher mean daily antipsychotic intake in patients treated only with second-generation antipsychotics. CONCLUSIONS These findings add useful information to the controversial debate on the brain structural effects of antipsychotic medication and may have both clinical relevance and theoretical implications.
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Affiliation(s)
- Antonio Vita
- University of Brescia, School of Medicine; Department of Mental Health, Spedali Civili Hospital, Brescia, Italy.
| | | | - Giacomo Deste
- Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
| | - Stefano Barlati
- Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
| | - Emilio Sacchetti
- University of Brescia, School of Medicine; Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
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32
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Ahmed M, Cannon DM, Scanlon C, Holleran L, Schmidt H, McFarland J, Langan C, McCarthy P, Barker GJ, Hallahan B, McDonald C. Progressive Brain Atrophy and Cortical Thinning in Schizophrenia after Commencing Clozapine Treatment. Neuropsychopharmacology 2015; 40:2409-17. [PMID: 25829144 PMCID: PMC4538355 DOI: 10.1038/npp.2015.90] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2014] [Revised: 02/10/2015] [Accepted: 03/10/2015] [Indexed: 01/20/2023]
Abstract
Despite evidence that clozapine may be neuroprotective, there are few longitudinal magnetic resonance imaging (MRI) studies that have specifically explored an association between commencement of clozapine treatment for schizophrenia and changes in regional brain volume or cortical thickness. A total of 33 patients with treatment-resistant schizophrenia and 31 healthy controls matched for age and gender underwent structural MRI brain scans at baseline and 6-9 months after commencing clozapine. MRI images were analyzed using SIENA (Structural Image Evaluation, using Normalization, of Atrophy) and FreeSurfer to investigate changes over time in brain volume and cortical thickness respectively. Significantly greater reductions in volume were detected in the right and left medial prefrontal cortex and in the periventricular area in the patient group regardless of treatment response. Widespread further cortical thinning was observed in patients compared with healthy controls. The majority of patients improved symptomatically and functionally over the study period, and patients who improved were more likely to have less cortical thinning of the left medial frontal cortex and the right middle temporal cortex. These findings demonstrate on-going reductions in brain volume and progressive cortical thinning in patients with schizophrenia who are switched to clozapine treatment. It is possible that this gray matter loss reflects a progressive disease process irrespective of medication use or that it is contributed to by switching to clozapine treatment. The clinical improvement of most patients indicates that antipsychotic-related gray matter volume loss may not necessarily be harmful or reflect neurotoxicity.
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Affiliation(s)
- Mohamed Ahmed
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - Dara M Cannon
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - Cathy Scanlon
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - Laurena Holleran
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - Heike Schmidt
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - John McFarland
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - Camilla Langan
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - Peter McCarthy
- Department of Radiology, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - Gareth J Barker
- Centre for Neuroimaging Sciences, Institute of Psychiatry, King's College London, London, UK
| | - Brian Hallahan
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Department of Psychiatry, College of Medicine, Nursing and Health Sciences, National University of Ireland, Galway, Galway, Ireland
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33
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Anderson VM, Goldstein ME, Kydd RR, Russell BR. Extensive gray matter volume reduction in treatment-resistant schizophrenia. Int J Neuropsychopharmacol 2015; 18:pyv016. [PMID: 25716781 PMCID: PMC4540109 DOI: 10.1093/ijnp/pyv016] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
BACKGROUND Approximately one-third of people with schizophrenia are treatment-resistant and some do not achieve remission with clozapine, the gold-standard antipsychotic medication for treatment-resistant schizophrenia. This study compared global and regional brain volumes between treatment-respondent and treatment-resistant patients with schizophrenia, including a group of patients who were clozapine-resistant. METHODS T1-weighted brain MRIs were obtained on a 3T scanner in 20 controls and 52 people with schizophrenia who were selected based on their symptomatic responses to antipsychotic medication: 18 responded well to first-line atypical antipsychotics (FLR), 19 were treatment-resistant but responsive to clozapine monotherapy (TR), and 15 were ultra-treatment-resistant and did not respond to clozapine (UTR). Treatment groups were matched for disease duration and current psychopathology. SIENAX and FSL-VBM were used to investigate differences in the global brain, gray matter (GM), white matter, ventricular cerebrospinal fluid volumes, and regional GM volumes. RESULTS GM volume was significantly reduced in the TR and UTR groups compared with controls and the FLR group (p < 0.05). GM volume was significantly reduced in TR patients compared with FLRs in the superior, middle, and inferior temporal gyri, pre- and post-central gyri, middle and superior frontal gyri, right supramarginal gyrus, and right lateral occipital cortex. UTR patients showed reduced GM compared with FLRs in their right parietal operculum and left cerebellum. No significant volume differences were observed between TR and UTR groups. CONCLUSIONS These differences are unlikely to be solely due to medication effects, and reduced GM volume in treatment-resistant schizophrenia may represent an accelerated disease course or a different underlying pathology.
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Affiliation(s)
| | | | | | - Bruce R Russell
- School of Pharmacy, University of Auckland, Auckland, New Zealand (Drs Anderson, Goldstein, and Russell); Centre for Brain Research, University of Auckland, Auckland, New Zealand (Drs Anderson, Goldstein, Kydd, and Russell); Department of Psychological Medicine, University of Auckland, Auckland, New Zealand (Dr Kydd).
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34
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Ansell BRE, Dwyer DB, Wood SJ, Bora E, Brewer WJ, Proffitt TM, Velakoulis D, McGorry PD, Pantelis C. Divergent effects of first-generation and second-generation antipsychotics on cortical thickness in first-episode psychosis. Psychol Med 2015; 45:515-527. [PMID: 25077698 PMCID: PMC4413868 DOI: 10.1017/s0033291714001652] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2013] [Revised: 03/19/2014] [Accepted: 06/16/2014] [Indexed: 01/31/2023]
Abstract
BACKGROUND Whether there are differential effects of first-generation antipsychotics (FGAs) and second-generation antipsychotics (SGAs) on the brain is currently debated. Although some studies report that FGAs reduce grey matter more than SGAs, others do not, and research to date is limited by a focus on schizophrenia spectrum disorders. To address this limitation, this study investigated the effects of medication in patients being treated for first-episode schizophrenia or affective psychoses. METHOD Cortical thickness was compared between 52 first-episode psychosis patients separated into diagnostic (i.e. schizophrenia or affective psychosis) and medication (i.e. FGA and SGA) subgroups. Patients in each group were also compared to age- and sex-matched healthy controls (n = 28). A whole-brain cortical thickness interaction analysis of medication and diagnosis was then performed. Correlations between cortical thickness with antipsychotic dose and psychotic symptoms were examined. RESULTS The effects of medication and diagnosis did not interact, suggesting independent effects. Compared with controls, diagnostic differences were found in frontal, parietal and temporal regions. Decreased thickness in FGA-treated versus SGA-treated groups was found in a large frontoparietal region (p < 0.001, corrected). Comparisons with healthy controls revealed decreased cortical thickness in the FGA group whereas the SGA group showed increases in addition to decreases. In FGA-treated patients cortical thinning was associated with higher negative symptoms whereas increased cortical thickness in the SGA-treated group was associated with lower positive symptoms. CONCLUSIONS Our results suggest that FGA and SGA treatments have divergent effects on cortical thickness during the first episode of psychosis that are independent from changes due to illness.
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Affiliation(s)
- B. R. E. Ansell
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - D. B. Dwyer
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - S. J. Wood
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
- School of Psychology, University of Birmingham, UK
| | - E. Bora
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - W. J. Brewer
- Orygen Youth Health Research Centre, University of Melbourne, Parkville, Victoria, Australia
| | - T. M. Proffitt
- Orygen Youth Health Research Centre, University of Melbourne, Parkville, Victoria, Australia
| | - D. Velakoulis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
| | - P. D. McGorry
- Orygen Youth Health Research Centre, University of Melbourne, Parkville, Victoria, Australia
| | - C. Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, Victoria, Australia
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35
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Roiz-Santiañez R, Suarez-Pinilla P, Crespo-Facorro B. Brain Structural Effects of Antipsychotic Treatment in Schizophrenia: A Systematic Review. Curr Neuropharmacol 2015; 13:422-34. [PMID: 26412062 PMCID: PMC4790397 DOI: 10.2174/1570159x13666150429002536] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2015] [Revised: 03/07/2015] [Accepted: 04/05/2015] [Indexed: 11/22/2022] Open
Abstract
The findings about the progressive brain changes in schizophrenia are controversial, and the potential confounding effect of antipsychotics on brain structure is still under debate. The goal of the current article was to review the existing longitudinal neuroimaging studies addressing the impact of antipsychotic drug treatment on brain changes in schizophrenia. A comprehensive search of PubMed was performed using combinations of key terms distributed into four blocks: "MRI", "longitudinal", "schizophrenia" and "antipsychotic". Studies were considered to be eligible for the review if they were original articles. Studies that examined only changes in brain density were excluded. A total of 41 MRI studies were identified and reviewed. Longitudinal MRI studies did not provide a consistent notion of the effects of antipsychotic treatment on the pattern of brain changes over time in schizophrenia. Overall, most of the included articles did not find a linear relationship between the degree of exposure and progressive brain changes. Further short- and longterm studies are warranted to a better understanding of the influence of antipsychotics in brain structural changes in schizophrenia and also to verify whether first and second generation antipsychotics may differentially affect brain morphometry.
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Affiliation(s)
- Roberto Roiz-Santiañez
- Unidad Investigación Psiquiatría, Hospital Universitario Marqués de Valdecilla, CIBERSAM, Avda. Valdecilla s/n, 39008, Santander, Spain.
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36
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Patients with poor response to antipsychotics have a more severe pattern of frontal atrophy: a voxel-based morphometry study of treatment resistance in schizophrenia. BIOMED RESEARCH INTERNATIONAL 2014; 2014:325052. [PMID: 25157354 PMCID: PMC4135095 DOI: 10.1155/2014/325052] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/13/2014] [Revised: 06/20/2014] [Accepted: 07/11/2014] [Indexed: 01/08/2023]
Abstract
Approximately 30% of schizophrenia patients do not respond adequately to the therapy. Previous MRI studies have suggested that drug treatment resistance is associated with brain morphological abnormalities, although region-of-interest analysis of MR studies from nonresponder and responder patients failed to demonstrate a statistically significant difference between these two schizophrenia subgroups. We have used a voxel-based analysis of segmented MR studies to assess structural cerebral differences in 20 nonresponder and 15 responder patients and 16 age-matched normal volunteers. Differences between the three groups emerged bilaterally mainly at the level of the superior and middle frontal gyri, primarily due to reduced grey matter volumes in nonresponders, as compared to both normal volunteers and responder patients. Post hoc direct comparison between the two schizophrenia subgroups demonstrated significantly reduced grey matter volumes in middle frontal gyrus bilaterally, in the dorsolateral aspects of left superior frontal gyrus extending into postcentral gyrus and in the right medial temporal cortex. Our results extend and integrate previous findings suggesting a more severe atrophy in nonresponder schizophrenia patients, compared to responder patients, mainly at the level of the superior and middle frontal gyri. Longitudinal studies in drug-naïve patients are needed to assess the role of these associations.
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37
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Amygdalohippocampal neuroplastic changes following neuroleptic treatment with quetiapine in first-episode schizophrenia. Int J Neuropsychopharmacol 2014; 17:833-43. [PMID: 24423214 DOI: 10.1017/s1461145713001739] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
Schizophrenia is a severe, debilitating, chronic disease that is accompanied by morphologic changes within the brain. However, it is unclear to what extent alterations of grey and white matter in schizophrenia are linked to the disease itself, or whether they are a consequence of neuroleptic treatment. Typical and atypical antipsychotics exert differential effects on brain structure. Moreover, atypical antipsychotics may have distinct profiles with respect to grey matter in schizophrenic patients. Findings on drug-induced grey matter changes are heterogeneous due to variation in stage of illness, duration of treatment and use of multiple antipsychotics. Using voxel-based morphometry applied to high-resolution magnetic resonance images, we show that monotherapy with the atypical agent quetiapine (mean daily dose = 445 mg ± 200 s.d.) may induce structural brain changes in first-episode schizophrenia patients (N = 20) within 21 d of treatment. Specifically, we demonstrate longitudinal macroscopic changes (i.e. grey matter increases) in the left amygdalohippocampal region that were predicted by drug plasma levels but not daily doses. These structural alterations were accompanied by a clinical improvement of schizophrenic symptoms. Comparison with healthy controls (n = 30) showed that grey matter amount in the respective amygdalar region was significantly reduced in unmedicated first-episode schizophrenia patients. These findings suggest that drug-induced neuroplastic changes in schizophrenia can occur quickly and are dependent on pharmacokinetics.
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38
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Szeszko PR, Robinson DG, Ikuta T, Peters BD, Gallego JA, Kane J, Malhotra AK. White matter changes associated with antipsychotic treatment in first-episode psychosis. Neuropsychopharmacology 2014; 39:1324-31. [PMID: 24549105 PMCID: PMC3988536 DOI: 10.1038/npp.2013.288] [Citation(s) in RCA: 103] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2013] [Revised: 08/27/2013] [Accepted: 09/13/2013] [Indexed: 11/09/2022]
Abstract
Second-generation antipsychotics are utilized extensively in the treatment of psychotic disorders and other psychiatric conditions, but the effects of these medications on human brain white matter are not well understood. We thus investigated the effects of second-generation antipsychotics on white matter integrity using tract-based spatial statistics in patients experiencing a first episode of psychosis with little or no prior antipsychotic exposure, and how potential changes were associated with metabolic side effects. Thirty-five (26 men/9 women) patients experiencing a first episode of psychosis received diffusion tensor imaging (DTI) exams, clinical assessments, and provided fasting blood samples at the onset of antipsychotic treatment, and then again after 12 weeks of treatment with either risperidone or aripiprazole in a double-blind randomized clinical trial. In addition, 35 (26 men/9 women) healthy volunteers received DTI exams at a baseline time point and then after 12 weeks. Patients demonstrated significant (p<0.05; family-wise error corrected) fractional anisotropy reductions within the parietal and occipital white matter following antipsychotic treatment. Greater overall fractional anisotropy reduction was significantly correlated with greater increases in low-density lipoprotein. There were no significant fractional anisotropy increases among patients following treatment. Moreover, healthy volunteers did not demonstrate either significant increases or decreases in fractional anisotropy across a comparable 12-week interval. The use of antipsychotics may be associated with a subtle loss of white matter integrity that is related to greater side effects, thus raising potentially important considerations regarding risk/benefit in their usage. Limitations of the current study, however, include a prior history of substance use among patients and our inability to exclude the possibility of disease progression.
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Affiliation(s)
- Philip R Szeszko
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, USA. Tel: +1 718 470 8489; Fax: +1 718 343 1659; E-mail:
| | - Delbert G Robinson
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA
| | - Toshikazu Ikuta
- Departments of Psychiatry and Molecular Medicine, Hofstra North Shore—LIJ School of Medicine, Hempstead, NY, USA
| | - Bart D Peters
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA
| | - Juan A Gallego
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA
| | - John Kane
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA
| | - Anil K Malhotra
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY, USA,Division of Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, Glen Oaks, NY, USA,Department of Communication Sciences and Disorders, School of Applied Sciences, University of Mississippi, University, MS, USA
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39
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Ellison-Wright I, Nathan PJ, Bullmore ET, Zaman R, Dudas RB, Agius M, Fernandez-Egea E, Müller U, Dodds CM, Forde NJ, Scanlon C, Leemans A, McDonald C, Cannon DM. Distribution of tract deficits in schizophrenia. BMC Psychiatry 2014; 14:99. [PMID: 24693962 PMCID: PMC4108049 DOI: 10.1186/1471-244x-14-99] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2013] [Accepted: 03/19/2014] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Gray and white matter brain changes have been found in schizophrenia but the anatomical organizing process underlying these changes remains unknown. We aimed to identify gray and white matter volumetric changes in a group of patients with schizophrenia and to quantify the distribution of white matter tract changes using a novel approach which applied three complementary analyses to diffusion imaging data. METHODS 21 patients with schizophrenia and 21 matched control subjects underwent brain magnetic resonance imaging. Gray and white matter volume differences were investigated using Voxel-based Morphometry (VBM). White matter diffusion changes were located using Tract Based Spatial Statistics (TBSS) and quantified within a standard atlas. Tracts where significant regional differences were located were examined using fiber tractography. RESULTS No significant differences in gray or white matter volumetry were found between the two groups. Using TBSS the schizophrenia group showed significantly lower fractional anisotropy (FA) compared to the controls in regions (false discovery rate <0.05) including the genu, body and splenium of the corpus callosum and the left anterior limb of the internal capsule (ALIC). Using fiber tractography, FA was significantly lower in schizophrenia in the corpus callosum genu (p = 0.003). CONCLUSIONS In schizophrenia, white matter diffusion deficits are prominent in medial frontal regions. These changes are consistent with the results of previous studies which have detected white matter changes in these areas. The pathology of schizophrenia may preferentially affect the prefrontal-thalamic white matter circuits traversing these regions.
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Affiliation(s)
- Ian Ellison-Wright
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, Cambridge CB2 0SZ, UK,Avon and Wiltshire Mental Health Partnership NHS Trust, Heathwood, Fountain Way, Salisbury SP2 7FD, UK
| | - Pradeep J Nathan
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, Cambridge CB2 0SZ, UK,School of Psychology and Psychiatry, Monash University, Building 17, Clayton Campus, Wellington Road, Clayton, VIC 3800, Australia,New Medicines, UCB Pharma, Chemin du Foriest B-1420, Braine-l'Alleud, Belgium
| | - Edward T Bullmore
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, Cambridge CB2 0SZ, UK,GlaxoSmithKline, Clinical Unit Cambridge (CUC), Addenbrooke’s Centre for Clinical Investigation (ACCI), Addenbrooke’s Hospital, Hills Road, PO Box 128, Cambridge CB2 0GG, UK
| | - Rashid Zaman
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK,South Essex Partnership University NHS Foundation Trust (SEPT), The Lodge, The Chase, Wickford, Essex SS11 7XX, United Kingdom
| | - Robert B Dudas
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK,Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, Fulbourn, Cambridge CB21 5EF, UK
| | - Mark Agius
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK,South Essex Partnership University NHS Foundation Trust (SEPT), The Lodge, The Chase, Wickford, Essex SS11 7XX, United Kingdom
| | - Emilio Fernandez-Egea
- Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK,Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, Fulbourn, Cambridge CB21 5EF, UK,Behavioural Clinical Neuroscience Institute (BCNI), University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Box 189, Cambridge CB2 2QQ, UK
| | - Ulrich Müller
- Department of Psychiatry, Brain Mapping Unit, University of Cambridge, Herchel Smith Building for Brain and Mind Sciences, Robinson Way, Cambridge CB2 0SZ, UK,Cambridgeshire and Peterborough NHS Foundation Trust (CPFT) Elizabeth House, Fulbourn Hospital, Fulbourn, Cambridge CB21 5EF, UK
| | - Chris M Dodds
- GlaxoSmithKline, Clinical Unit Cambridge (CUC), Addenbrooke’s Centre for Clinical Investigation (ACCI), Addenbrooke’s Hospital, Hills Road, PO Box 128, Cambridge CB2 0GG, UK
| | - Natalie J Forde
- Clinical Neuroimaging Laboratory, Departments of Anatomy & Psychiatry, College of Medicine, Nursing and Health Sciences, 202 Comerford Suite, Clinical Sciences Institute, National University of Ireland, Galway, Republic of Ireland
| | - Cathy Scanlon
- Clinical Neuroimaging Laboratory, Departments of Anatomy & Psychiatry, College of Medicine, Nursing and Health Sciences, 202 Comerford Suite, Clinical Sciences Institute, National University of Ireland, Galway, Republic of Ireland
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Q.S.459, P.O. Box 85500, 3508 GA Utrecht, The Netherlands
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Departments of Anatomy & Psychiatry, College of Medicine, Nursing and Health Sciences, 202 Comerford Suite, Clinical Sciences Institute, National University of Ireland, Galway, Republic of Ireland
| | - Dara M Cannon
- Clinical Neuroimaging Laboratory, Departments of Anatomy & Psychiatry, College of Medicine, Nursing and Health Sciences, 202 Comerford Suite, Clinical Sciences Institute, National University of Ireland, Galway, Republic of Ireland
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Holleran L, Ahmed M, Anderson-Schmidt H, McFarland J, Emsell L, Leemans A, Scanlon C, Dockery P, McCarthy P, Barker GJ, McDonald C, Cannon DM. Altered interhemispheric and temporal lobe white matter microstructural organization in severe chronic schizophrenia. Neuropsychopharmacology 2014; 39:944-54. [PMID: 24150571 PMCID: PMC3924528 DOI: 10.1038/npp.2013.294] [Citation(s) in RCA: 58] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2013] [Revised: 09/11/2013] [Accepted: 09/14/2013] [Indexed: 12/15/2022]
Abstract
Diffusion MRI investigations in schizophrenia provide evidence of abnormal white matter (WM) microstructural organization as indicated by reduced fractional anisotropy (FA) primarily in interhemispheric, left frontal and temporal WM. Using tract-based spatial statistics (TBSS), we examined diffusion parameters in a sample of patients with severe chronic schizophrenia. Diffusion MRI data were acquired on 19 patients with chronic severe schizophrenia and 19 age- and gender-matched healthy controls using a 64 gradient direction sequence, (b=1300 s/mm(2)) collected on a Siemens 1.5T MRI scanner. Diagnosis of schizophrenia was determined by Diagnostic and Statistical Manual for Mental Disorders 4th Edition (DSM-IV) Structured Clinical Interview for DSM disorder (SCID). Patients were treatment resistance, having failed to respond to at least two antipsychotic medications, and had prolonged periods of moderate to severe positive or negative symptoms. Analysis of diffusion parameters was carried out using TBSS. Individuals with chronic severe schizophrenia had significantly reduced FA with corresponding increased radial diffusivity in the genu, body, and splenium of the corpus callosum, the right posterior limb of the internal capsule, right external capsule, and the right temporal inferior longitudinal fasciculus. There were no voxels of significantly increased FA in patients compared with controls. A decrease in splenium FA was shown to be related to a longer illness duration. We detected widespread abnormal diffusivity properties in the callosal and temporal lobe WM regions in individuals with severe chronic schizophrenia who have not previously been exposed to clozapine. These deficits can be driven by a number of factors that are indistinguishable using in vivo diffusion-weighted imaging, but may be related to reduced axonal number or packing density, abnormal glial cell arrangement or function, and reduced myelin.
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Affiliation(s)
- Laurena Holleran
- Clinical Neuroimaging Laboratory, Department of Anatomy, School of Medicine, College of Medicine, Nursing and Health Sciences, Clinical Science Institute, National University of Ireland Galway, Galway, Ireland,Clinical Neuroimaging Laboratory, Department of Anatomy, School of Medicine, College of Medicine, Nursing and Health Sciences, Clinical Science Institute, National University of Ireland Galway, Galway, Ireland, Tel: +087 92 13388, Fax: +353 (0)91 494520, E-mail:
| | - Mohamed Ahmed
- Clinical Neuroimaging Laboratory, Department of Psychiatry, School of Medicine, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Heike Anderson-Schmidt
- Clinical Neuroimaging Laboratory, Department of Psychiatry, School of Medicine, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland,Department of Psychiatry and Psychotherapy, University Medical Centre Goettingen, Goettingen, Germany
| | - John McFarland
- Clinical Neuroimaging Laboratory, Department of Psychiatry, School of Medicine, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Louise Emsell
- Clinical Neuroimaging Laboratory, Department of Psychiatry, School of Medicine, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland,Department of Radiology, University Hospital of KU Leuven, Leuven, Belgium
| | - Alexander Leemans
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Cathy Scanlon
- Clinical Neuroimaging Laboratory, Department of Psychiatry, School of Medicine, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Peter Dockery
- Clinical Neuroimaging Laboratory, Department of Anatomy, School of Medicine, College of Medicine, Nursing and Health Sciences, Clinical Science Institute, National University of Ireland Galway, Galway, Ireland
| | - Peter McCarthy
- Clinical Neuroimaging Laboratory, Department of Radiology, School of Medicine, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Gareth J Barker
- King's College London, Centre for Neuroimaging Sciences, Department of Neuroimaging, Institute of Psychiatry, London, UK
| | - Colm McDonald
- Clinical Neuroimaging Laboratory, Department of Psychiatry, School of Medicine, College of Medicine, Nursing and Health Sciences, National University of Ireland Galway, Galway, Ireland
| | - Dara M Cannon
- Clinical Neuroimaging Laboratory, Department of Anatomy, School of Medicine, College of Medicine, Nursing and Health Sciences, Clinical Science Institute, National University of Ireland Galway, Galway, Ireland
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Hajek T, Bauer M, Simhandl C, Rybakowski J, O'Donovan C, Pfennig A, König B, Suwalska A, Yucel K, Uher R, Young LT, MacQueen G, Alda M. Neuroprotective effect of lithium on hippocampal volumes in bipolar disorder independent of long-term treatment response. Psychol Med 2014; 44:507-517. [PMID: 23721695 DOI: 10.1017/s0033291713001165] [Citation(s) in RCA: 88] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND Neuroimaging studies have demonstrated an association between lithium (Li) treatment and brain structure in human subjects. A crucial unresolved question is whether this association reflects direct neurochemical effects of Li or indirect effects secondary to treatment or prevention of episodes of bipolar disorder (BD). METHOD To address this knowledge gap, we compared manually traced hippocampal volumes in 37 BD patients with at least 2 years of Li treatment (Li group), 19 BD patients with <3 months of lifetime Li exposure over 2 years ago (non-Li group) and 50 healthy controls. All BD participants were followed prospectively and had at least 10 years of illness and a minimum of five episodes. We established illness course and long-term treatment response to Li using National Institute of Mental Health (NIMH) life charts. RESULTS The non-Li group had smaller hippocampal volumes than the controls or the Li group (F 2,102 = 4.97, p = 0.009). However, the time spent in a mood episode on the current mood stabilizer was more than three times longer in the Li than in the non-Li group (t(51) = 2.00, p = 0.05). Even Li-treated patients with BD episodes while on Li had hippocampal volumes comparable to healthy controls and significantly larger than non-Li patients (t(43) = 2.62, corrected p = 0.02). CONCLUSIONS Our findings support the neuroprotective effects of Li. The association between Li treatment and hippocampal volume seems to be independent of long-term treatment response and occurred even in subjects with episodes of BD while on Li. Consequently, these effects of Li on brain structure may generalize to patients with neuropsychiatric illnesses other than BD.
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Affiliation(s)
- T Hajek
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - M Bauer
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
| | - C Simhandl
- Psychiatrische Abteilung, Krankenhaus Neunkirchen, Austria
| | - J Rybakowski
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poland
| | - C O'Donovan
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - A Pfennig
- Department of Psychiatry and Psychotherapy, University Hospital Carl Gustav Carus, Technische Universität Dresden, Germany
| | - B König
- Psychiatrische Abteilung, Krankenhaus Neunkirchen, Austria
| | - A Suwalska
- Department of Adult Psychiatry, Poznan University of Medical Sciences, Poland
| | - K Yucel
- Department of Psychiatry and Behavioural Neurosciences, McMaster University, Hamilton, ON, Canada
| | - R Uher
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - L T Young
- Department of Psychiatry, University of Toronto, ON, Canada
| | - G MacQueen
- Department of Psychiatry, University of Calgary, AB, Canada
| | - M Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
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Keith S. Use of long-acting risperidone in psychiatric disorders: focus on efficacy, safety and cost–effectiveness. Expert Rev Neurother 2014; 9:9-31. [DOI: 10.1586/14737175.9.1.9] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
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Argyelan M, Ikuta T, DeRosse P, Braga RJ, Burdick KE, John M, Kingsley PB, Malhotra AK, Szeszko PR. Resting-state fMRI connectivity impairment in schizophrenia and bipolar disorder. Schizophr Bull 2014; 40:100-10. [PMID: 23851068 PMCID: PMC3885301 DOI: 10.1093/schbul/sbt092] [Citation(s) in RCA: 101] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Schizophrenia and bipolar disorder share aspects of phenomenology and neurobiology and thus may represent a continuum of disease. Few studies have compared connectivity across the brain in these disorders or investigated their functional correlates. METHODS We used resting-state functional magnetic resonance imaging to evaluate global and regional connectivity in 32 healthy controls, 19 patients with bipolar disorder, and 18 schizophrenia patients. Patients also received comprehensive neuropsychological and clinical assessments. We computed correlation matrices among 266 regions of interest within the brain, with the primary dependent measure being overall global connectivity strength of each region with every other region. RESULTS Patients with schizophrenia had significantly lower global connectivity compared with healthy controls, whereas patients with bipolar disorder had global connectivity intermediate to and significantly different from those of patients with schizophrenia and healthy controls. Post hoc analyses revealed that compared with healthy controls, both patient groups had significantly lower connectivity in the paracingulate gyrus and right thalamus. Patients with schizophrenia also had significantly lower connectivity in the temporal occipital fusiform cortex, left caudate nucleus, and left thalamus compared with healthy controls. There were no significant differences among the patient groups in any of these regions. Lower global connectivity among all patients was associated with worse neuropsychological and clinical functioning, but these effects were not specific to any patient group. CONCLUSIONS These findings are consistent with the hypothesis that schizophrenia and bipolar disorder may represent a continuum of global disconnectivity in the brain but that regional functional specificity may not be evident.
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Affiliation(s)
- Miklos Argyelan
- *To whom correspondence should be addressed; Psychiatry Research, Zucker Hillside Hospital, North Shore-LIJ Health System, 75-59 263rd Street, Glen Oaks, NY 11004, US; tel: 718-470-4486, fax: 718-343-1659, e-mail:
| | - Toshikazu Ikuta
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY; ,Psychiatry Research, Zucker Hillside Hospital, North Shore–LIJ Health System, Glen Oaks, NY;
| | - Pamela DeRosse
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY; ,Psychiatry Research, Zucker Hillside Hospital, North Shore–LIJ Health System, Glen Oaks, NY;
| | - Raphael J. Braga
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY; ,Psychiatry Research, Zucker Hillside Hospital, North Shore–LIJ Health System, Glen Oaks, NY;
| | | | - Majnu John
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY; ,Psychiatry Research, Zucker Hillside Hospital, North Shore–LIJ Health System, Glen Oaks, NY;
| | - Peter B. Kingsley
- Department of Radiology, North Shore University Hospital, Manhasset, NY;
| | - Anil K. Malhotra
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY; ,Psychiatry Research, Zucker Hillside Hospital, North Shore–LIJ Health System, Glen Oaks, NY; ,Departments of Psychiatry and Molecular Medicine, Hofstra North Shore–LIJ School of Medicine, Hempstead, NY
| | - Philip R. Szeszko
- Center for Psychiatric Neuroscience, Feinstein Institute for Medical Research, Manhasset, NY; ,Psychiatry Research, Zucker Hillside Hospital, North Shore–LIJ Health System, Glen Oaks, NY; ,Departments of Psychiatry and Molecular Medicine, Hofstra North Shore–LIJ School of Medicine, Hempstead, NY
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Chuang JY, Murray GK, Metastasio A, Segarra N, Tait R, Spencer J, Ziauddeen H, Dudas RB, Fletcher PC, Suckling J. Brain structural signatures of negative symptoms in depression and schizophrenia. Front Psychiatry 2014; 5:116. [PMID: 25221526 PMCID: PMC4145726 DOI: 10.3389/fpsyt.2014.00116] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2014] [Accepted: 08/12/2014] [Indexed: 02/02/2023] Open
Abstract
Negative symptoms occur in several major mental health disorders with undetermined mechanisms and unsatisfactory treatments; identification of their neural correlates might unveil the underlying pathophysiological basis and pinpoint the therapeutic targets. In this study, participants with major depressive disorder (n = 24), schizophrenia (n = 22), and healthy controls (n = 20) were assessed with 10 frequently used negative symptom scales followed by principal component analysis (PCA) of the scores. A linear model with the prominent components identified by PCA was then regressed on gray and white-matter volumes estimated from T1-weighted magnetic resonance imaging. In depressed patients, negative symptoms such as blunted affect, alogia, withdrawal, and cognitive impairment, assessed mostly via clinician-rated scales were inversely associated with gray matter volume in the bilateral cerebellum. In patients with schizophrenia, anhedonia, and avolition evaluated via self-rated scales inversely related to white-matter volume in the left anterior limb of internal capsule/anterior thalamic radiation and positively in the left superior longitudinal fasiculus. The pathophysiological mechanisms underlying negative symptoms might differ between depression and schizophrenia. These results also point to future negative symptom scale development primarily focused on detecting and monitoring the corresponding changes to brain structure or function.
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Affiliation(s)
- Jie-Yu Chuang
- Department of Psychiatry, University of Cambridge , Cambridge , UK
| | - Graham K Murray
- Department of Psychiatry, University of Cambridge , Cambridge , UK ; Behavioural and Clinical Neuroscience Institute, University of Cambridge , Cambridge , UK ; Cambridgeshire and Peterborough NHS Foundation Trust , Cambridge , UK
| | | | - Nuria Segarra
- Department of Psychiatry, University of Cambridge , Cambridge , UK
| | - Roger Tait
- Behavioural and Clinical Neuroscience Institute, University of Cambridge , Cambridge , UK
| | - Jenny Spencer
- Department of Psychiatry, University of Cambridge , Cambridge , UK ; Cambridgeshire and Peterborough NHS Foundation Trust , Cambridge , UK
| | - Hisham Ziauddeen
- Department of Psychiatry, University of Cambridge , Cambridge , UK ; Cambridgeshire and Peterborough NHS Foundation Trust , Cambridge , UK ; Wellcome Trust MRC, Institute of Metabolic Science, University of Cambridge , Cambridge , UK
| | - Robert B Dudas
- Department of Psychiatry, University of Cambridge , Cambridge , UK ; Behavioural and Clinical Neuroscience Institute, University of Cambridge , Cambridge , UK ; Cambridgeshire and Peterborough NHS Foundation Trust , Cambridge , UK ; Norfolk and Suffolk NHS Foundation Trust , Norfolk , UK
| | - Paul C Fletcher
- Department of Psychiatry, University of Cambridge , Cambridge , UK ; Cambridgeshire and Peterborough NHS Foundation Trust , Cambridge , UK
| | - John Suckling
- Department of Psychiatry, University of Cambridge , Cambridge , UK ; Behavioural and Clinical Neuroscience Institute, University of Cambridge , Cambridge , UK ; Cambridgeshire and Peterborough NHS Foundation Trust , Cambridge , UK
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Torres US, Portela-Oliveira E, Borgwardt S, Busatto GF. Structural brain changes associated with antipsychotic treatment in schizophrenia as revealed by voxel-based morphometric MRI: an activation likelihood estimation meta-analysis. BMC Psychiatry 2013; 13:342. [PMID: 24359128 PMCID: PMC3878502 DOI: 10.1186/1471-244x-13-342] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2013] [Accepted: 12/09/2013] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The results of multiple studies on the association between antipsychotic use and structural brain changes in schizophrenia have been assessed only in qualitative literature reviews to date. We aimed to perform a meta-analysis of voxel-based morphometry (VBM) studies on this association to quantitatively synthesize the findings of these studies. METHODS A systematic computerized literature search was carried out through MEDLINE/PubMed, EMBASE, ISI Web of Science, SCOPUS and PsycINFO databases aiming to identify all VBM studies addressing this question and meeting predetermined inclusion criteria. All studies reporting coordinates representing foci of structural brain changes associated with antipsychotic use were meta-analyzed by using the activation likelihood estimation technique, currently the most sophisticated and best-validated tool for voxel-wise meta-analysis of neuroimaging studies. RESULTS Ten studies (five cross-sectional and five longitudinal) met the inclusion criteria and comprised a total of 548 individuals (298 patients on antipsychotic drugs and 250 controls). Depending on the methodologies of the selected studies, the control groups included healthy subjects, drug-free patients, or the same patients evaluated repeatedly in longitudinal comparisons (i.e., serving as their own controls). A total of 102 foci associated with structural alterations were retrieved. The meta-analysis revealed seven clusters of areas with consistent structural brain changes in patients on antipsychotics compared to controls. The seven clusters included four areas of relative volumetric decrease in the left lateral temporal cortex [Brodmann area (BA) 20], left inferior frontal gyrus (BA 44), superior frontal gyrus extending to the left middle frontal gyrus (BA 6), and right rectal gyrus (BA 11), and three areas of relative volumetric increase in the left dorsal anterior cingulate cortex (BA 24), left ventral anterior cingulate cortex (BA 24) and right putamen. CONCLUSIONS Our results identify the specific brain regions where possible associations between antipsychotic drug usage and structural brain changes in schizophrenia patients are more consistently reported. Additional longitudinal VBM studies including larger and more homogeneous samples of schizophrenia patients may be needed to further disentangle such alterations from those possibly linked to the intrinsic pathological progressive process in schizophrenia.
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Affiliation(s)
- Ulysses S Torres
- Post-Graduate Program in Radiology, Institute of Radiology (INRAD), University of Sao Paulo Medical School, Sao Paulo, Brazil.
| | - Eduardo Portela-Oliveira
- Department of Radiology, Hospital de Base, São José do Rio Preto Medical School, Sao Paulo, Brazil
| | - Stefan Borgwardt
- Department of Psychiatry, University of Basel, Basel, Switzerland,Department of Psychosis Studies, Institute of Psychiatry, King’s College, London, UK
| | - Geraldo F Busatto
- Post-Graduate Program in Radiology, Institute of Radiology (INRAD), University of Sao Paulo Medical School, Sao Paulo, Brazil,Laboratory of Neuroimaging in Psychiatry (LIM-21), Institute of Psychiatry, University of Sao Paulo Medical School, Centro de Medicina Nuclear, 3º andar, Rua Dr. Ovídio Pires Campos, s/n, Sao Paulo, Sao Paulo, 05403-010, Brazil,Center for Interdisciplinary Research on Applied Neurosciences (NAPNA), University of São Paulo, Sao Paulo, Brazil
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Fusar-Poli P, Smieskova R, Kempton MJ, Ho BC, Andreasen NC, Borgwardt S. Progressive brain changes in schizophrenia related to antipsychotic treatment? A meta-analysis of longitudinal MRI studies. Neurosci Biobehav Rev 2013; 37:1680-91. [PMID: 23769814 PMCID: PMC3964856 DOI: 10.1016/j.neubiorev.2013.06.001] [Citation(s) in RCA: 360] [Impact Index Per Article: 32.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2012] [Revised: 05/30/2013] [Accepted: 06/03/2013] [Indexed: 12/15/2022]
Abstract
Context Antipsychotic treatment is the first-line treatment option for schizophrenia. Individual studies suggested they can significantly affect brain structure and account for progressive brain changes observed during the illness. Objectives To quantitatively examine the effect of antipsychotics as compared to illness related factors on progressive brain changes in schizophrenia. Data sources Electronic databases were searched until April 2012. All magnetic resonance imaging studies reporting progressive brain changes in schizophrenia subjects and antipsychotic exposure were retrieved. Study selection 30 longitudinal MRI studies with antipsychotic administration in schizophrenia patients met the inclusion criteria. Data extraction Brain volumes before and after antipsychotic exposure, duration of illness, severity of psychotic symptoms as well as demographic, clinical, and methodological variables were extracted from each publication, or obtained directly from its authors. Data synthesis The overall sample was of 1046 schizophrenia patients and 780 controls for a median duration of follow-up of 72.4 weeks. At baseline, patients showed significant whole brain volume reductions and enlarged lateral ventricle (LV) volumes compared to controls. No baseline volumetric abnormalities were detected in the gray matter volumes (GMV), white matter volumes, cerebrospinal fluid and caudate nucleus. Longitudinally, there were progressive GMV decreases and LV enlargements in patients but not in controls. The GMV decreases were inversely correlated with cumulative exposure to antipsychotic treatments, while no effects were observed for duration of illness or illness severity. Conclusions Schizophrenia is characterized by progressive gray matter volume decreases and lateral ventricular volume increases. Some of these neuroanatomical alterations may be associated with antipsychotic treatment.
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Affiliation(s)
- P Fusar-Poli
- Department of Psychosis Studies, Institute of Psychiatry, King's College London, United Kingdom.
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Vita A, De Peri L, Deste G, Sacchetti E. Progressive loss of cortical gray matter in schizophrenia: a meta-analysis and meta-regression of longitudinal MRI studies. Transl Psychiatry 2012; 2:e190. [PMID: 23168990 PMCID: PMC3565772 DOI: 10.1038/tp.2012.116] [Citation(s) in RCA: 310] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
Cortical gray matter deficits have been found in patients with schizophrenia, with evidence of progression over time. The aim of this study was to determine the extent of progressive cortical gray matter volume changes over time in schizophrenia, their site and time of occurrence, and the role of potential moderators of brain changes. English language articles published between 1 January 1983 and 31 March 2012 in the MEDLINE and EMBASE databases were searched. Longitudinal magnetic resonance imaging studies comparing changes in cortical gray matter volume over time between patients with schizophrenia and healthy controls were included. Hedges g was calculated for each study. Analyses were performed using fixed- and random-effects models. A subgroup analysis was run to explore the pattern of brain changes in patients with first-episode schizophrenia. A meta-regression statistic was adopted to investigate the role of potential moderators of the effect sizes (ESs). A total of 19 studies, analyzing 813 patients with schizophrenia and 718 healthy controls, were included. Over time, patients with schizophrenia showed a significantly higher volume loss of total cortical gray matter, left superior temporal gyrus (STG), left anterior STG, left Heschl gyrus, left planum temporale and posterior STG bilaterally. Meta-analysis of first-episode schizophrenic patients showed a more significant pattern of progressive loss of whole cerebral gray matter volume involving the frontal, temporal and parietal lobes, and left Heschl gyrus compared with healthy controls. Clinical, pharmacologic and neuroradiological variables were found to be significant moderators of brain volume changes in patients with schizophrenia. The meta-analysis demonstrates that progressive cortical gray matter changes in schizophrenia occur with regional and temporal specificity. The underlying pathological process appears to be especially active in the first stages of the disease, affects the left hemisphere and the superior temporal structures more and is at least partly moderated by the type of pharmacological treatment received.
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Affiliation(s)
- A Vita
- School of Medicine, University of Brescia, Brescia, Italy.
| | - L De Peri
- School of Medicine, University of Brescia, Brescia, Italy
| | - G Deste
- Department of Mental Health, Spedali Civili Hospital, Brescia, Italy
| | - E Sacchetti
- School of Medicine, University of Brescia, Brescia, Italy,Department of Mental Health, Spedali Civili Hospital, Brescia, Italy,Center for Neurodegenerative Disorders and EULO, University of Brescia, Brescia, Italy
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Byun MS, Kim JS, Jung WH, Jang JH, Choi JS, Kim SN, Choi CH, Chung CK, An SK, Kwon JS. Regional cortical thinning in subjects with high genetic loading for schizophrenia. Schizophr Res 2012; 141:197-203. [PMID: 22998933 DOI: 10.1016/j.schres.2012.08.028] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2011] [Revised: 07/31/2012] [Accepted: 08/27/2012] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Although recent studies have revealed regional cortical thinning in patients with schizophrenia, it is not clear whether cortical thinning reflects a genetic liability for schizophrenia. The present study investigated the change of cortical thickness in subjects at genetic high risk (GHR) for schizophrenia with a relatively high genetic loading compared with healthy controls (HC) and patients with schizophrenia. The effect of genetic loading on cortical thinning was also measured by comparing GHR subgroups according to the levels of genetic loading. METHODS Cortical thickness was measured by the Constrained Laplacian-based Automated Segmentation with Proximities algorithm using 1.5-T structural MRI scans. The cortical thickness of the subjects at GHR (n=31) was compared with that of HC (n=29) and patients with schizophrenia (n=31). We then compared the cortical thickness of the GHR subgroups according to the number of first-degree relatives with schizophrenia to measure the effect of genetic loading. RESULTS Relative to HC, GHR subjects showed significant cortical thinning in the right anterior cingulate cortex (ACC), left paracingulate and posterior cingulate regions; bilateral frontal regions including frontal pole and ventromedial prefrontal cortex; bilateral temporal regions including the left parahippocampal gyrus; and bilateral inferior parietal and occipital regions; however, patients with schizophrenia showed more widespread cortical thinning in the fronto-temporo-parietal region. GHR subjects who had two or more first-degree relatives with schizophrenia showed a greater reduction in cortical thickness in the right ACC and in the left paracingulate cortex than did those who had only one first-degree relative with schizophrenia. CONCLUSION Our findings suggest that the level of genetic loading may have a dose-dependent effect on cortical thinning in the right ACC and in the left paracingulate cortex and that cortical thinning in GHR subjects may represent neurodevelopmental alterations that result from genetic liability for schizophrenia.
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Affiliation(s)
- Min Soo Byun
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Prevention of the phencyclidine-induced impairment in novel object recognition in female rats by co-administration of lurasidone or tandospirone, a 5-HT(1A) partial agonist. Neuropsychopharmacology 2012; 37:2175-83. [PMID: 22739469 PMCID: PMC3422483 DOI: 10.1038/npp.2012.64] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Hypoglutamatergic function may contribute to cognitive impairment in schizophrenia (CIS). Subchronic treatment with the N-methyl-D-aspartate receptor antagonist, phencyclidine (PCP), induces enduring deficits in novel object recognition (NOR) in rodents. Acute treatment with atypical antipsychotic drugs (APDs), which are serotonin (5-HT)(2A)/dopamine D(2) antagonists, but not typical APDs, eg, haloperidol, reverses the PCP-induced NOR deficit in rats. We have tested the ability of lurasidone, an atypical APD with potent 5-HT(1A) partial agonist properties, tandospirone, a selective 5-HT(1A) partial agonist, haloperidol, a D(2) antagonist, and pimavanserin, a 5-HT(2A) inverse agonist, to prevent the development of the PCP-induced NOR deficit. Rats were administered lurasidone (0.1 or 1 mg/kg), tandospirone (5 mg/kg), pimavanserin (3 mg/kg), or haloperidol (1 mg/kg) b.i.d. 30 min before PCP (2 mg/kg, b.i.d.) for 7 days (day1-7), followed by a 7-day washout (day 8-14). Subchronic treatment with PCP induced an enduring NOR deficit. Lurasidone (1 mg/kg) but not 0.1 mg/kg, which is effective to acutely reverse the deficit due to subchronic PCP, or tandospirone, but not pimavanserin or haloperidol, significantly prevented the PCP-induced NOR deficit on day 15. The ability of lurasidone co-treatment to prevent the PCP-induced NOR deficit was enduring and still present at day 22. The preventive effect of lurasidone was blocked by WAY100635, a selective 5-HT(1A) antagonists, further evidence for the importance of 5-HT(1A) receptor stimulation in the NOR deficit produced by subchronic PCP. Further study is needed to determine whether these results concerning mechanism and dosage can be the basis for prevention of the development of CIS in at risk populations.
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Dorsolateral prefrontal cortex volume in patients with deficit or nondeficit schizophrenia. Prog Neuropsychopharmacol Biol Psychiatry 2012; 37:264-9. [PMID: 22349577 DOI: 10.1016/j.pnpbp.2012.02.003] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2011] [Revised: 01/30/2012] [Accepted: 02/05/2012] [Indexed: 12/28/2022]
Abstract
Deficit schizophrenia (DS) represents a promising putative clinical subtype of schizophrenia and is characterized by the presence of primary and enduring negative symptoms. Previous studies have often reported a reduced amount of gray matter within prefrontal and temporal cortices in schizophrenia subjects with prevailing negative symptoms; however, the evidence concerning brain structural abnormalities in patients with DS remains controversial. The aim of the present study was to investigate whether patients with DS differed from those with nondeficit schizophrenia (NDS) with respect to the volume of the dorsolateral prefrontal cortex (DLPFC) and hippocampus, two brain areas considered as key regions in the pathogenesis of schizophrenia. In the present study a 3D-T1w MR imaging procedure and an extensive clinical assessment was carried out in 18 patients with schizophrenia, (10 DS and 8 NDS). 3D MPRAGE images were preprocessed with SPM software and two regions of interest (hippocampus and DLPFC) were manually traced to obtain their gray matter volumes. We found a significant reduction of DLPFC in the entire schizophrenia group, with respect to healthy subjects. Although the subgroup of patients with DS had a more severe clinical picture and more impaired social functioning, the DLPFC volume reduction was greater in NDS than in DS patients. In conclusion, according to our structural neuroimaging findings, DS patients, although characterized by a more severe clinical picture and a worse outcome, show less neurobiological abnormalities.
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