Fully Automated Habenula Segmentation Provides Robust and Reliable Volume Estimation Across Large Magnetic Resonance Imaging Datasets, Suggesting Intriguing Developmental Trajectories in Psychiatric Disease

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Arquivos
art_GERMANN_Fully_Automated_Habenula_Segmentation_Provides_Robust_and_Reliable_2020.PDF.pdf (997.76 KB)
Citações na Scopus
16
Tipo de produção
article
Data de publicação
2020
DOI
Scopus
Web of Science
PubMed
Título da Revista
ISSN da Revista
Título do Volume
Editora
ELSEVIER
Autores
GERMANN, Juergen
GOUVEIA, Flavia Venetucci
CHAKRAVARTY, M. Mallar
DEVENYI, Gabriel A.
Citação
BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, v.5, n.9, p.923-929, 2020
Projetos de Pesquisa
Unidades Organizacionais
Fascículo
Resumo
Studies of habenula (Hb) function and structure provided evidence of its involvement in psychiatric disorders, including schizophrenia and bipolar disorder. Previous studies using magnetic resonance imaging (manual/semi-automated segmentation) have reported conflicting results. Aiming to improve Hb segmentation reliability and the study of large datasets, we describe a fully automated protocol that was validated against manual segmentations and applied to 3 datasets (childhood/adolescence and adult bipolar disorder and schizophrenia). It achieved reliable Hb segmentation, providing robust volume estimations across a large age range and varying image acquisition parameters. Applying it to clinically relevant datasets, we found smaller Hb volumes in the adult bipolar disorder dataset and larger volumes in the adult schizophrenia dataset compared with healthy control subjects. There are indications that Hb volume in both groups shows deviating developmental trajectories early in life. This technique sets a precedent for future studies, as it allows for fast and reliable Hb segmentation and will be publicly available.
Palavras-chave
Automatic segmentation, Bipolar disorder, Habenula, MAGeTbrain, Schizophrenia, Volume
URI
https://observatorio.fm.usp.br/handle/OPI/38074
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Coleções
Artigos e Materiais de Revistas Científicas - HC/IPq
Artigos e Materiais de Revistas Científicas - LIM/21