Comparing CAT12 and VBM8 for Detecting Brain Morphological Abnormalities in Temporal Lobe Epilepsy

• Published in: Frontiers in neurology Vol. 8; p. 428
• Main Authors: Farokhian, Farnaz, Beheshti, Iman, Sone, Daichi, Matsuda, Hiroshi
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 24-08-2017
• Subjects: CAT12; hippocampus sclerosis; Neuroscience; statistical parameter mapping; temporal lobe epilepsy; VBM8; voxel-based morphometry; statistical parameter mapping; CAT12; temporal lobe epilepsy; voxel-based morphometry; hippocampus sclerosis; VBM8
• ISSN: 1664-2295; 1664-2295
• DOI: 10.3389/fneur.2017.00428

The identification of the brain morphological alterations that play important roles in neurodegenerative/neurological diseases will contribute to our understanding of the causes of these diseases. Various automated software programs are designed to provide an automatic framework to detect brain morphological changes in structural magnetic resonance imaging (MRI) data. A voxel-based morphometry (VBM) analysis can also be used for the detection of brain volumetric abnormalities. Here, we compared gray matter (GM) and white matter (WM) abnormality results obtained by a VBM analysis using the Computational Anatomy Toolbox (CAT12) via the current version of Statistical Parametric Mapping software (SPM12) with the results obtained by a VBM analysis using the VBM8 toolbox implemented in the older software SPM8, in adult temporal lobe epilepsy (TLE) patients with (
 = 51) and without (
 = 57) hippocampus sclerosis (HS), compared to healthy adult controls (
 = 28). The VBM analysis using CAT12 showed that compared to the healthy controls, significant GM and WM reductions were located in ipsilateral mesial temporal lobes in the TLE-HS patients, and slight GM amygdala swelling was present in the right TLE-no patients (
 = 27). In contrast, the VBM analysis via the VBM8 toolbox showed significant GM and WM reductions only in the left TLE-HS patients (
 = 25) compared to the healthy controls. Our findings thus demonstrate that compared to VBM8, a VBM analysis using CAT12 provides a more accurate volumetric analysis of the brain regions in TLE. Our results further indicate that a VBM analysis using CAT12 is more robust and accurate against volumetric alterations than the VBM8 toolbox.