1. A pioneering FreeSurfer volumetric study of a series of patients with mesial temporal lobe epilepsy and hippocampal sclerosis with comorbid depression.
- Author
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de Figueiredo NSV, Gaça LB, Assunção-Leme IB, Mazetto L, Garcia MTFC, Sandim GB, Alonso NB, Centeno RS, Filho GMA, Jackowski AP, Júnior HC, and Yacubian EMT
- Subjects
- Depression diagnostic imaging, Depression epidemiology, Hippocampus diagnostic imaging, Hippocampus pathology, Humans, Magnetic Resonance Imaging, Sclerosis diagnostic imaging, Sclerosis epidemiology, Sclerosis pathology, Epilepsy, Temporal Lobe complications, Epilepsy, Temporal Lobe diagnostic imaging, Epilepsy, Temporal Lobe epidemiology
- Abstract
Depression is the most frequent psychiatric comorbidity in patients with mesial temporal lobe epilepsy (MTLE) and hippocampal sclerosis (HS). This study aimed to confirm whether patients with comorbid depression have different volumetric patterns on magnetic resonance imaging, analysing the influence of HS sides. Psychiatrists conducted semi-structured interviews with 75 patients, who were divided into non-depression group (NDG, n = 52) and depression group (DG, n = 23), and compared with 98 controls. The FreeSurfer software was used in the volumetric analysis of the estimated total intracranial volume (eTIV), bilateral cortical and subcortical regions of interest (ROIs), and for presence of left (L-, n = 41) or right (R-, n = 34) MTLE-HS. Twenty-three (30.7%) patients had depression, of whom 14 (34.1%) had l-MTLE-HS and 9 (26.5%) had R-MTLE-HS. No difference was observed between DG and NDG vs. controls in terms of eTIV and cortical ROIs, regardless of the severity of depression. In patients with l-MTLE-HS, the eTIV in the DG was reduced in comparison with that in the NDG and control group, with a small effect size. Hippocampal reduction occurred ipsilateral to HS in the l-MTLE-HS and R-MTLE-HS subgroups when DG and NDG were compared with controls, as expected according to Enhancing Neuro Imaging Genetics through Meta-Analysis (2018)., (Copyright © 2021 Elsevier B.V. All rights reserved.)
- Published
- 2021
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