A voxel-based morphometry study of gray matter correlates of facial emotion recognition in bipolar disorder

• Autor(a) principal: Neves, Maila de Castro L.
• Data de Publicação: 2015
• Outros Autores: Albuquerque, Maicon Rodrigues, Malloy-Diniz, Leandro, Nicolato, Rodrigo, Neves, Fernando Silva, Souza-Duran, Fábio Luis de, Busatto, Geraldo, Corrêa, Humberto
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: LOCUS Repositório Institucional da UFV
• Texto Completo: https://doi.org/10.1016/j.pscychresns.2015.05.009; http://www.locus.ufv.br/handle/123456789/19310
• topic: Bipolar disorder; Social cognition; Facial emotion recognition; Voxel-based morphometry (VBM)

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.