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 (2021). Magnitude and variability of structural brain abnormalities in neuropsychiatric disease: protocol for a network meta-analysis of MRI studies. Evidence-Based Mental Health, 24(3), pp. 111-114. BMJ Publishing Group 10.1136/ebmental-2020-300229

Preview	Text McCutcheon_EvidBasedMentalHealth_2021_AAM.pdf - Accepted Version Available under License Creative Commons: Attribution-Noncommercial (CC-BY-NC). Download (217kB) | Preview
Preview	Text McCutcheon_EvidBasedMentalHealth_2021.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (259kB) | Preview

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.

Interest & Impact

Downloads

137 since deposited on 28 Apr 2021
39 in the past 12 months

Citations

5 Citations in Web of Science ®
6 Citations in Scopus

Search

in Google Scholar™

Services

Actions (login required)

Edit item

Actions (login required)

Edit item