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Focusing on Comorbidity-A Novel Meta-Analytic Approach and Protocol to Disentangle the Specific Neuroanatomy of Co-occurring Mental Disorders

Authors
 Lydia Fortea  ;  Anton Albajes-Eizagirre  ;  Yuan-Wei Yao  ;  Edu Soler  ;  Norma Verdolini  ;  Alexander O Hauson  ;  Adriana Fortea  ;  Santiago Madero  ;  Aleix Solanes  ;  Scott C Wollman  ;  Maria Serra-Blasco  ;  Toby Wise  ;  Steve Lukito  ;  Maria Picó-Pérez  ;  Christina Carlisi  ;  JinTao Zhang  ;  PingLei Pan  ;  Álvar Farré-Colomés  ;  Danilo Arnone  ;  Matthew J Kempton  ;  Carles Soriano-Mas  ;  Katya Rubia  ;  Luke Norman  ;  Paolo Fusar-Poli  ;  David Mataix-Cols  ;  Marc Valentí  ;  Esther Via  ;  Narcis Cardoner  ;  Marco Solmi  ;  Jae I Shin  ;  Eduard Vieta  ;  Joaquim Radua 
Citation
 FRONTIERS IN PSYCHIATRY, Vol.12 : 807839, 2022-01 
Journal Title
FRONTIERS IN PSYCHIATRY
Issue Date
2022-01
Keywords
comorbidity ; gray matter (GM) ; magnetic resonance imaging (MRI) ; medication ; mental disorder ; meta-analysis ; seed-based d mapping (SDM)
Abstract
Background: In mental health, comorbidities are the norm rather than the exception. However, current meta-analytic methods for summarizing the neural correlates of mental disorders do not consider comorbidities, reducing them to a source of noise and bias rather than benefitting from their valuable information.

Objectives: We describe and validate a novel neuroimaging meta-analytic approach that focuses on comorbidities. In addition, we present the protocol for a meta-analysis of all major mental disorders and their comorbidities.

Methods: The novel approach consists of a modification of Seed-based d Mapping-with Permutation of Subject Images (SDM-PSI) in which the linear models have no intercept. As in previous SDM meta-analyses, the dependent variable is the brain anatomical difference between patients and controls in a voxel. However, there is no primary disorder, and the independent variables are the percentages of patients with each disorder and each pair of potentially comorbid disorders. We use simulations to validate and provide an example of this novel approach, which correctly disentangled the abnormalities associated with each disorder and comorbidity. We then describe a protocol for conducting the new meta-analysis of all major mental disorders and their comorbidities. Specifically, we will include all voxel-based morphometry (VBM) studies of mental disorders for which a meta-analysis has already been published, including at least 10 studies. We will use the novel approach to analyze all included studies in two separate single linear models, one for children/adolescents and one for adults.

Discussion: The novel approach is a valid method to focus on comorbidities. The meta-analysis will yield a comprehensive atlas of the neuroanatomy of all major mental disorders and their comorbidities, which we hope might help develop potential diagnostic and therapeutic tools.
Files in This Item:
T202205371.pdf Download
DOI
10.3389/fpsyt.2021.807839
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Pediatrics (소아과학교실) > 1. Journal Papers
Yonsei Authors
Shin, Jae Il(신재일) ORCID logo https://orcid.org/0000-0003-2326-1820
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/191185
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