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. (In Press). Evidence-Based Mental Health BMJ Publishing Group 10.1136/ebmental-2020-300229

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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.

Item Type:

Journal Article (Further Contribution)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM)

UniBE Contributor:

Efthimiou, Orestis

Subjects:

600 Technology > 610 Medicine & health
300 Social sciences, sociology & anthropology > 360 Social problems & social services

ISSN:

1362-0347

Publisher:

BMJ Publishing Group

Language:

English

Submitter:

Andrea Flükiger-Flückiger

Date Deposited:

28 Apr 2021 12:27

Last Modified:

29 Apr 2021 09:47

Publisher DOI:

10.1136/ebmental-2020-300229

PubMed ID:

33849995

Uncontrolled Keywords:

adult psychiatry depression & mood disorders personality disorders psychiatry schizophrenia & psychotic disorders

BORIS DOI:

10.48350/155975

URI:

https://boris.unibe.ch/id/eprint/155975

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