Statistical Structural Analysis of Familial Spontaneous Epileptic Cats Using Voxel-Based Morphometry

Area of Science:

• Neuroimaging
• Comparative Neurology
• Veterinary Neurology

Background:

• Voxel-based morphometry (VBM) is an advanced neuroimaging analysis technique for detecting brain abnormalities in humans.
• Traditional manual region of interest (ROI) volumetry is prone to observer bias and requires extensive neuroanatomical knowledge.
• Familial spontaneous epileptic cats (FSECs) serve as a valuable animal model for mesial temporal lobe epilepsy.

Purpose of the Study:

• To develop a standard feline brain template for VBM analysis.
• To compare brain morphometry between FSECs and healthy cats using VBM.
• To assess the utility of VBM in identifying structural abnormalities in an animal model of epilepsy.

Main Methods:

• Creation of a standard feline brain template and tissue probability maps using MRI scans from healthy cats.
• Application of VBM analysis to compare gray matter volume between a group of FSECs (n=25) and healthy controls (n=12).
• Individual-based VBM analysis to detect localized morphometric changes in FSECs.

Main Results:

• A standard feline brain template and tissue probability maps were successfully generated using VBM tools adapted from human applications.
• Group analysis revealed no significant overall reduction in gray matter in FSECs compared to controls.
• Individual analysis identified significant gray matter decreases in the hippocampal and/or amygdaloid regions in 20% of FSECs.

Conclusions:

• The established feline brain template enables accurate localization of abnormal brain zones.
• VBM analysis, similar to MR volumetry, can detect specific morphometric changes in the hippocampus and amygdala in individual epileptic cats.
• VBM provides a less biased and more automated approach for neuroimaging analysis in feline epilepsy models.