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      The role of dopamine dysregulation and evidence for the transdiagnostic nature of elevated dopamine synthesis in psychosis: a positron emission tomography (PET) study comparing schizophrenia, delusional disorder, and other psychotic disorders

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          Abstract

          There have been few studies performed to examine the pathophysiological differences between different types of psychosis, such as between delusional disorder (DD) and schizophrenia (SZ). Notably, despite the different clinical characteristics of DD and schizophrenia (SZ), antipsychotics are deemed equally effective pharmaceutical treatments for both conditions. In this context, dopamine dysregulation may be transdiagnostic of the pathophysiology of psychotic disorders such as DD and SZ. In this study, an examination is made of the dopamine synthesis capacity (DSC) of patients with SZ, DD, other psychotic disorders, and the DSC of healthy subjects. Fifty-four subjects were recruited to the study, comprising 35 subjects with first-episode psychosis (11 DD, 12 SZ, 12 other psychotic disorders) and 19 healthy controls. All received an 18F-DOPA positron emission tomography (PET)/magnetic resonance (MR) scan to measure DSC ( K occ;30–60 value) within 1 month of starting antipsychotic treatment. Clinical assessments were also made, which included Positive and Negative Syndrome Scale (PANSS) measurements. The mean K occ;30–60 was significantly greater in the caudate region of subjects in the DD group (ES = 0.83, corrected p = 0.048), the SZ group (ES = 1.40, corrected p = 0.003) and the other psychotic disorder group (ES = 1.34, corrected p = 0.0045), compared to that of the control group. These data indicate that DD, SZ, and other psychotic disorders have similar dysregulated mechanisms of dopamine synthesis, which supports the utility of abnormal dopamine synthesis in transdiagnoses of these psychotic conditions.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            FreeSurfer.

            FreeSurfer is a suite of tools for the analysis of neuroimaging data that provides an array of algorithms to quantify the functional, connectional and structural properties of the human brain. It has evolved from a package primarily aimed at generating surface representations of the cerebral cortex into one that automatically creates models of most macroscopically visible structures in the human brain given any reasonable T1-weighted input image. It is freely available, runs on a wide variety of hardware and software platforms, and is open source. Copyright © 2012 Elsevier Inc. All rights reserved.
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              The positive and negative syndrome scale (PANSS) for schizophrenia.

              The variable results of positive-negative research with schizophrenics underscore the importance of well-characterized, standardized measurement techniques. We report on the development and initial standardization of the Positive and Negative Syndrome Scale (PANSS) for typological and dimensional assessment. Based on two established psychiatric rating systems, the 30-item PANSS was conceived as an operationalized, drug-sensitive instrument that provides balanced representation of positive and negative symptoms and gauges their relationship to one another and to global psychopathology. It thus constitutes four scales measuring positive and negative syndromes, their differential, and general severity of illness. Study of 101 schizophrenics found the four scales to be normally distributed and supported their reliability and stability. Positive and negative scores were inversely correlated once their common association with general psychopathology was extracted, suggesting that they represent mutually exclusive constructs. Review of five studies involving the PANSS provided evidence of its criterion-related validity with antecedent, genealogical, and concurrent measures, its predictive validity, its drug sensitivity, and its utility for both typological and dimensional assessment.
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                Author and article information

                Contributors
                eyhchen@hku.hk
                Journal
                Neuropsychopharmacology
                Neuropsychopharmacology
                Neuropsychopharmacology
                Springer International Publishing (Cham )
                0893-133X
                1740-634X
                1 July 2020
                October 2020
                : 45
                : 11
                : 1870-1876
                Affiliations
                [1 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Psychiatry, , The University of Hong Kong, ; Hong Kong, China
                [2 ]GRID grid.414329.9, ISNI 0000 0004 1764 7097, Hong Kong Sanatorium & Hospital, ; Hong Kong, China
                [3 ]GRID grid.194645.b, ISNI 0000000121742757, Department of Diagnostic Radiology, , The University of Hong Kong, ; Hong Kong, China
                [4 ]GRID grid.13097.3c, ISNI 0000 0001 2322 6764, Psychosis Studies Department, , Institute of Psychiatry, Psychology & Neuroscience, King’s College London, ; London, UK
                [5 ]GRID grid.13097.3c, ISNI 0000 0001 2322 6764, Department of Neuroimaging, , Institute of Psychiatry, Psychology & Neuroscience, King’s College London, ; London, UK
                [6 ]GRID grid.194645.b, ISNI 0000000121742757, The State Key Laboratory of Brain and Cognitive Sciences, , The University of Hong Kong, ; Hong Kong, China
                [7 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Institute of Clinical Sciences (ICS), Faculty of Medicine, , Imperial College London, ; London, UK
                [8 ]GRID grid.14105.31, ISNI 0000000122478951, MRC London Institute of Medical Sciences, Hammersmith Hospital, ; London, UK
                Author information
                http://orcid.org/0000-0003-4457-1908
                http://orcid.org/0000-0003-2766-8476
                http://orcid.org/0000-0003-3562-0683
                Article
                740
                10.1038/s41386-020-0740-x
                7608388
                32612207
                24b0c171-ac7e-4c5d-90fe-d1c937a29f41
                © The Author(s), under exclusive licence to American College of Neuropsychopharmacology 2020

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 23 February 2020
                : 22 May 2020
                : 29 May 2020
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                © American College of Neuropsychopharmacology 2020

                Pharmacology & Pharmaceutical medicine
                psychosis,diagnostic markers
                Pharmacology & Pharmaceutical medicine
                psychosis, diagnostic markers

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