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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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Journal ArticleDOI

Can structural MRI aid in clinical classification? A machine learning study in two independent samples of patients with schizophrenia, bipolar disorder and healthy subjects.

TL;DR: The accurate separation of schizophrenia from bipolar patients on the basis of structural MRI scans, as demonstrated here, could be of added value in the differential diagnosis of these two disorders.
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Patterns of Gray Matter Abnormalities in Schizophrenia Based on an International Mega-analysis

TL;DR: This mega-analysis confirms that the commonly found GMC loss in patients with schizophrenia in the anterior temporal lobe, insula, and medial frontal lobe form a single, consistent spatial pattern even in such a diverse dataset.
Journal ArticleDOI

Sex differences in the developing brain: insights from multimodal neuroimaging

TL;DR: Support for sex differences in the brain as they relate to anxiety, depression, psychosis, and attention-deficit/hyperactivity symptoms is focused on.
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Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept

TL;DR: In this article, the authors integrated results from common variant studies of schizophrenia (33,636 cases, 43,008 controls) and volumes of several (mainly subcortical) brain structures (11,840 subjects).
Journal ArticleDOI

Sex/gender differences in the brain and cognition in schizophrenia.

TL;DR: Trends are faint and future research would need to delineate neurocognitive differences between men and women with various subtypes of schizophrenia, while taking into consideration hormonal status and gender of tested participants.
References
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Book

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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.
Journal ArticleDOI

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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.
Journal ArticleDOI

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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