Whole Brain Profile of Hub Disruption in Frontal Lobe and Temporal Lobe Epilepsy
Abstract number :
2.321
Submission category :
5. Neuro Imaging / 5B. Functional Imaging
Year :
2024
Submission ID :
1091
Source :
www.aesnet.org
Presentation date :
12/8/2024 12:00:00 AM
Published date :
Authors :
Presenting Author: Arielle Dascal, MSc. – McGill University
Édouard Delaire, MSc. – Concordia University
Thaera Arafat, MD – Montreal Neurological Institute and Hospital, McGill University
Judy Chen, BS – McGill University
Chifaou Abdallah, MD – McGill University
Ella Sahlas, BS – McGill University
Alexander Ngo, BS – McGill University
Hans Auer, BSc – Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
Jessica Royer, PsyD – McGill University
Raul Rodriguez-Cruces, PhD – Multimodal Imaging and Connectome Analysis Laboratory, McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
Neda Bernasconi, MD,PHD – McGill University
Andrea Bernasconi, MD – McGill University
Raluca Pana, MD – McGill University
Birgit Frauscher, MD, PhD – Department of Neurology, Duke University School of Medicine, Durham, NC, USA
Kangjoo Lee, PhD – Yale University
Boris Bernhardt, PhD – McGill University
Christophe Grova, PhD – Concordia University
Rationale: An increasing body of studies have suggested large-scale network disruptions in focal epilepsy syndromes (Royer et al., Epilepsia, 2022). The analysis of resting state functional magnetic resonance imaging (rs-fMRI) profiles intrinsic functional networks. Recently, our team proposed SParsity-based Analysis of reliable k-hubness (SPARK), which uses sparse coding to identify connector hubs (Lee et al., NeuroImage, 2016), which play key roles in long-range and inter-network communication (Van Den Heuvel and Sporns, Trends in Cognitive Sciences, 2013). Building on our prior work reporting network reorganization in focal epilepsy syndromes, (Pittau et al., Epilepsia, 2012; Lee et al., NeuroImage: Clinical, 2018), the current study mapped connector hub alterations in patients with temporal lobe epilepsy (TLE) as well as frontal lobe epilepsy (FLE) to identify shared and unique network reorganization.
Methods: We studied 16 patients with TLE, 10 with FLE and 30 age and sex matched Healthy Controls (HC), who underwent rs-fMRI scans at 3T. Preprocessing of the fMRI scans was completed using the MICApipe toolbox (Cruces et al., NeuroImage, 2022). SPARK outputs were manually reviewed to remove physiological noise. Each hemisphere was parcellated into 20 regions using a modified version of the Automated Anatomical Labelling Atlas (Rolls et al., NeuroImage, 2020). The hub disruption index (HDI) (Lee et al., NeuroImage: Clinical, 2018) quantifies changes in connector hubs via linear regression model between Z-scored k-values of patients and normalized hubness values of HC for each region. A negative HDI slope indicates connector hub in HC become non-hubs in patients. We also considered bootstrap resampling to generate a null distribution of HDI values.
Results: In TLE, significant hub disruption was found in the right mesial temporal lobe, bilateral hippocampi, and the left mesial parietal and posterior cingulum (all p< 0.05)
Neuro Imaging