Web of Science: 5 cites, Scopus: 4 cites, Google Scholar: cites,
Focusing on Comorbidity-A Novel Meta-Analytic Approach and Protocol to Disentangle the Specific Neuroanatomy of Co-occurring Mental Disorders
Fortea, Lydia (Universitat de Barcelona. Departament de Medicina)
Albajes-Eizagirre, Anton (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Yao, Yuan-Wei (Humboldt-Universität zu Berlin)
Soler, Edu (Institut d'Investigacions Biomèdiques August Pi i Sunyer)
Verdolini, Norma (Hospital Clínic i Provincial de Barcelona)
Hauson, Alexander O. (University of California San Diego.Department of Psychiatry)
Fortea, Adriana (Hospital Clinic. Psychiatric and Psychology Service)
Madero, Santiago (Hospital Clinic. Schizophrenia Unit)
Solanes, Aleix (Universitat Autònoma de Barcelona. Departament de Psiquiatria i de Medicina Legal)
Wollman, Scott C. (California School of Professional Psychology. Clinical Psychology PhD Program)
Serra-Blasco, Maria (Institut Català d'Oncologia)
Wise, Toby (King's College London. Department of Neuroimaging)
Lukito, Steve (King's College London. Institute of Psychiatry, Psychology & Neuroscience)
Picó-Pérez, Maria (Clinical Academic Center (Braga))
Carlisi, Christina (University College London. Division of Psychology and Language Sciences)
Zhang, JinTao (Beijing Normal University. State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research)
Pan, PingLei (Department of Neurology, Department of Addictive Behavior and Addiction Medicine, Central Institute of Mental Health, Affiliated Yancheng Hospital of Southeast University)
Farré-Colomés, Álvar (University of Heidelberg. Medical Faculty Mannheim)
Arnone, Danilo (United Arab Emirates University (UAEU). Department of Psychiatry and Behavioral Science)
Kempton, Matthew J. (King's College London. Department of Psychosis Studies)
Soriano-Mas, Carles (Universitat Autònoma de Barcelona. Departament de Psicobiologia i de Metodologia de Ciències de la Salut)
Rubia, Katya (King's College London. Department of Child and Adolescent Psychiatry)
Norman, Luke (National Human Genome Research Institute. The Social and Behavioral Research Branch)
Fusar-Poli, Paolo (South London and Maudsley NHS Foundation Trust. Outreach and Support in South London (OASIS) Service)
Mataix-Cols, David (Stockholm County Council. Stockholm Health Care Services)
Valentí, Marc (Hospital Clinic. Psychiatric and Psychology Service)
Via, Esther (Institut de Recerca Sant Joan de Déu)
Cardoner, N. (Narcís) (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT))
Solmi, Marco (Ottawa Hospital Research Institute. Clinical Epidemiology Program)
Shin, Jae I. (Yonsei University College of Medicine. Department of Pediatrics)
Vieta, Eduard (Hospital Clinic. Psychiatric and Psychology Service)
Radua, Joaquim (Karolinska Institutet (Estocolm, Suècia). Department of Clinical Neuroscience)

Data: 2022
Resum: 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. 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. 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. 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.
Ajuts: Instituto de Salud Carlos III CPII19/0009
Instituto de Salud Carlos III FI20/00047
Instituto de Salud Carlos III PI19/00394
European Commission. Horizon 2020 PI19/00394
"la Caixa" Foundation PI19/00394
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Meta-analysis ; Magnetic resonance imaging (MRI) ; Seed-based d mapping (SDM) ; Gray matter (GM) ; Mental disorder ; Comorbidity ; Medication
Publicat a: Frontiers in psychiatry, Vol. 12 (january 2022) , ISSN 1664-0640

DOI: 10.3389/fpsyt.2021.807839
PMID: 35115973


13 p, 1.2 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d’Investigació i Innovació Parc Taulí (I3PT)
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2022-02-07, darrera modificació el 2024-04-17



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