Use este identificador para citar ou linkar para este item: https://locus.ufv.br//handle/123456789/19310
Tipo: Artigo
Título: A voxel-based morphometry study of gray matter correlates of facial emotion recognition in bipolar disorder
Autor(es): Neves, Maila de Castro L.
Albuquerque, Maicon Rodrigues
Malloy-Diniz, Leandro
Nicolato, Rodrigo
Neves, Fernando Silva
Souza-Duran, Fábio Luis de
Busatto, Geraldo
Corrêa, Humberto
Abstract: Facial emotion recognition (FER) is one of the many cognitive deficits reported in bipolar disorder (BD) patients. The aim of this study was to investigate neuroanatomical correlates of FER impairments in BD type I (BD-I). Participants comprised 21 euthymic BD-I patients without Axis I DSM IV-TR comorbidities and 21 healthy controls who were assessed using magnetic resonance imaging and the Penn Emotion Recognition Test (ER40). Preprocessing of images used DARTEL (diffeomorphic anatomical registration through exponentiated Lie algebra) for optimized voxel-based morphometry in SPM8. Compared with healthy subjects, BD-I patients performed poorly in on the ER40 and had reduced gray matter volume (GMV) in the left orbitofrontal cortex, superior portion of the temporal pole and insula. In the BD-I group, the statistical maps indicated a direct correlation between FER on the ER40 and right middle cingulate gyrus GMV. Our findings are consistent with the previous studies regarding the overlap of multiple brain networks of social cognition and BD neurobiology, particularly components of the anterior-limbic neural network.
Palavras-chave: Bipolar disorder
Social cognition
Facial emotion recognition
Voxel-based morphometry (VBM)
Editor: Psychiatry Research: Neuroimaging
Tipo de Acesso: Elsevier Ireland Ltd.
URI: https://doi.org/10.1016/j.pscychresns.2015.05.009
http://www.locus.ufv.br/handle/123456789/19310
Data do documento: 27-Mai-2015
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