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Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies
INTRODUCTION: Structural MRI is the most frequently used method to investigate brain volume alterations in neuropsychiatric disease. Previous meta-analyses have typically focused on a single diagnosis, thereby precluding transdiagnostic comparisons. METHODS AND ANALYSIS: We will include all structur...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311078/ https://www.ncbi.nlm.nih.gov/pubmed/33849995 http://dx.doi.org/10.1136/ebmental-2020-300229 |
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author | McCutcheon, Robert Pillinger, Toby Welby, George Vano, Luke Cummings, Connor Guo, Xin Heron, Toni Ann Efthimiou, Orestis Cipriani, Andrea Howes, Oliver |
author_facet | McCutcheon, Robert Pillinger, Toby Welby, George Vano, Luke Cummings, Connor Guo, Xin Heron, Toni Ann Efthimiou, Orestis Cipriani, Andrea Howes, Oliver |
author_sort | McCutcheon, Robert |
collection | PubMed |
description | INTRODUCTION: Structural MRI is the most frequently used method to investigate brain volume alterations in neuropsychiatric disease. Previous meta-analyses have typically focused on a single diagnosis, thereby precluding transdiagnostic comparisons. METHODS AND ANALYSIS: We will include all structural MRI studies of adults that report brain volumes for participants from at least two of the following diagnostic groups: healthy controls, schizophrenia, schizoaffective disorder, delusional disorder, psychotic depression, clinical high risk for psychosis, schizotypal personality disorder, psychosis unspecified, bipolar disorder, autism spectrum disorder, major depressive disorder, attention deficit hyperactivity disorder, obsessive compulsive disorder, post-traumatic stress disorder, emotionally unstable personality disorder, 22q11 deletion syndrome, generalised anxiety disorder, social anxiety disorder, panic disorder, mixed anxiety and depression. Network meta-analysis will be used to synthesise eligible studies. The primary analysis will examine standardised mean difference in average volume, a secondary analysis will examine differences in variability of volumes. DISCUSSION: This network meta-analysis will provide a transdiagnostic integration of structural neuroimaging studies, providing researchers with a valuable summary of a large literature. PROSPERO REGISTRATION NUMBER: CRD42020221143. |
format | Online Article Text |
id | pubmed-8311078 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-83110782021-08-13 Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies McCutcheon, Robert Pillinger, Toby Welby, George Vano, Luke Cummings, Connor Guo, Xin Heron, Toni Ann Efthimiou, Orestis Cipriani, Andrea Howes, Oliver Evid Based Ment Health Protocol INTRODUCTION: Structural MRI is the most frequently used method to investigate brain volume alterations in neuropsychiatric disease. Previous meta-analyses have typically focused on a single diagnosis, thereby precluding transdiagnostic comparisons. METHODS AND ANALYSIS: We will include all structural MRI studies of adults that report brain volumes for participants from at least two of the following diagnostic groups: healthy controls, schizophrenia, schizoaffective disorder, delusional disorder, psychotic depression, clinical high risk for psychosis, schizotypal personality disorder, psychosis unspecified, bipolar disorder, autism spectrum disorder, major depressive disorder, attention deficit hyperactivity disorder, obsessive compulsive disorder, post-traumatic stress disorder, emotionally unstable personality disorder, 22q11 deletion syndrome, generalised anxiety disorder, social anxiety disorder, panic disorder, mixed anxiety and depression. Network meta-analysis will be used to synthesise eligible studies. The primary analysis will examine standardised mean difference in average volume, a secondary analysis will examine differences in variability of volumes. DISCUSSION: This network meta-analysis will provide a transdiagnostic integration of structural neuroimaging studies, providing researchers with a valuable summary of a large literature. PROSPERO REGISTRATION NUMBER: CRD42020221143. BMJ Publishing Group 2021-08 2021-04-13 /pmc/articles/PMC8311078/ /pubmed/33849995 http://dx.doi.org/10.1136/ebmental-2020-300229 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Protocol McCutcheon, Robert Pillinger, Toby Welby, George Vano, Luke Cummings, Connor Guo, Xin Heron, Toni Ann Efthimiou, Orestis Cipriani, Andrea Howes, Oliver Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies |
title | Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies |
title_full | Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies |
title_fullStr | Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies |
title_full_unstemmed | Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies |
title_short | Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies |
title_sort | magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of mri studies |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311078/ https://www.ncbi.nlm.nih.gov/pubmed/33849995 http://dx.doi.org/10.1136/ebmental-2020-300229 |
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