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Brain Volumes in Schizophrenia: A Meta-Analysis in Over 18 000 Subjects

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TLDR
Brain loss in schizophrenia is related to a combination of (early) neurodevelopmental processes-reflected in intracranial volume reduction-as well as illness progression.
Abstract
Although structural brain alterations in schizophrenia have been demonstrated extensively, their quantitative distribution has not been studied over the last 14 years despite advances in neuroimaging. Moreover, a volumetric meta-analysis has not been conducted in antipsychotic-naive patients. Therefore, meta-analysis on cross-sectional volumetric brain alterations in both medicated and antipsychotic-naive patients was conducted. Three hundred seventeen studies published from September 1, 1998 to January 1, 2012 comprising over 9000 patients were selected for meta-analysis, including 33 studies in antipsychotic-naive patients. In addition to effect sizes, potential modifying factors such as duration of illness, sex composition, current antipsychotic dose, and intelligence quotient matching status of participants were extracted where available. In the sample of medicated schizophrenia patients (n = 8327), intracranial and total brain volume was significantly decreased by 2.0% (effect size d = -0.17) and 2.6% (d = -0.30), respectively. Largest effect sizes were observed for gray matter structures, with effect sizes ranging from -0.22 to -0.58. In the sample of antipsychotic-naive patients (n = 771), volume reductions in caudate nucleus (d = -0.38) and thalamus (d = -0.68) were more pronounced than in medicated patients. White matter volume was decreased to a similar extent in both groups, while gray matter loss was less extensive in antipsychotic-naive patients. Gray matter reduction was associated with longer duration of illness and higher dose of antipsychotic medication at time of scanning. Therefore, brain loss in schizophrenia is related to a combination of (early) neurodevelopmental processes-reflected in intracranial volume reduction-as well as illness progression.

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Association between anticholinergic burden and dementia in UK Biobank

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Segmentation and analysis of ventricles in Schizophrenic MR brain images using optimal region based energy minimization framework

TL;DR: Results show that, multiplicative intrinsic component optimization method is able to segment ventricle from normal and SZ images, and seems to be clinically supportive in the diagnosis of Schizophrenic subjects.
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Schizophrenia and human self-domestication: a linguistic approach

TL;DR: It is shown that people with SZ exhibit more marked domesticated traits at the morphological, physiological, and behavioural levels and it is concluded that SZ may represent an abnormal ontogenetic itinerary for the human faculty of language, resulting, at least in part, from changes in genes important for the “domestication syndrome” and, primarily involving the neural crest.
References
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Book

Statistical Power Analysis for the Behavioral Sciences

TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
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Measuring inconsistency in meta-analyses

TL;DR: A new quantity is developed, I 2, which the authors believe gives a better measure of the consistency between trials in a meta-analysis, which is susceptible to the number of trials included in the meta- analysis.
Journal ArticleDOI

Meta-Analysis of Regional Brain Volumes in Schizophrenia

TL;DR: In this article, the authors conducted a systematic search for structural magnetic resonance imaging (MRI) studies of patients with schizophrenia that reported volume measurements of selected cortical, subcortical, and ventricular regions in relation to comparison groups.
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Cerebral ventricular size and cognitive impairment in chronic schizophrenia

TL;DR: By comparison with age-matched controls in employment, 17 institutionalised schizophrenic patients were shown by computerised axial tomography of the brain to have increased cerebral ventricular size.
Journal ArticleDOI

Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers

TL;DR: In this article, the authors quantitatively quantitate neuroanatomic parameters in healthy volunteers and compare the values with normative values from postmortem studies, using MRI images of 116 volunteers aged 19 months to 80 years.
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