Abstracts

Voxel-Based Morphometry Reveals Progressive Grey Matter Loss Following Corpus Callosotomy in Pediatric Refractory Epilepsy

Abstract number : 1.345
Submission category : 5. Neuro Imaging / 5A. Structural Imaging
Year : 2025
Submission ID : 628
Source : www.aesnet.org
Presentation date : 12/6/2025 12:00:00 AM
Published date :

Authors :
Presenting Author: Daniel Ackom, MS – Marquette University and Medical College of Wisconsin Joint Department of Biomedical Engineering

Wanda Snell, MS – Medical College of Wisconsin
Ricardo Vega, MS – Marquette University and Medical College of Wisconsin Joint Department of Biomedical Engineering
Andrew Crow, BA – The Medical College of Wisconsin, Milwaukee
Scott Beardsley, PhD – Marquette University and Medical College of Wisconsin Joint Department of Biomedical Engineering
Brian Schmit, PhD – Marquette University and Medical College of Wisconsin Joint Department of Biomedical Engineering
Sean Lew, MD – Children's Wisconsin, Medical College of Wisconsin
Irene Kim, MD – Medical College of Wisconsin
Pradeep Javarayee, MD MBA – The Medical College of Wisconsin, Milwaukee

Rationale:

Corpus callosotomy (CC) is a palliative procedure for patients with intractable epilepsy with atonic and tonic seizures. Despite its clinical efficacy, the neuroanatomical effects of CC, particularly longitudinal grey matter (GM) changes, are not well understood. This study analyzes pre- and postoperative MRI in non-lesional epilepsy patients, comparing them to age-matched controls to identify CC-related GM alterations.



Methods:

We retrospectively analyzed non-lesional T1-MPRAGE data from 13 pediatric patients with drug-resistant epilepsy who underwent CC (mean age: 11 ± 4 years; 8 males) and 13 age-matched healthy controls from the ABIDE I&II datasets using longitudinal and cross-sectional voxel-based morphometry (VBM). Longitudinal analysis included pre- and post-surgical scans processed with inverse-consistent registration, tissue segmentation, and DARTEL normalization; cross-sectional analysis excluded registration. Paired and independent t-tests controlled for age, gender, and intracranial volume. GM volume changes were regressed against time since surgery, with results corrected for multiple comparisons using a cluster-level family-wise error (FWE) correction (p < 0.05).

Neuro Imaging