Research

We utilize a variety of MRI techniques to study cortical architecture and function in a search for biomarkers of epileptogenesis. While we aim at understanding fundamental aspects of the disease process, over the years we have tailored our analytical approach so that we can contemporaneously assist clinical decision-making.

Computational Neuroanatomy
A Surface Patch-Based Segmentation Method for Hippocampal Subfields

Caldairou et al. 2016. MICCAI.

Multi-contrast submillimetric 3 Tesla hippocampal subfield segmentation protocol and dataset

Kulaga-Yoskovitz et al. 2015. Sci Data.

Mesial temporal damage in temporal lobe epilepsy: a volumetric MRI study of the hippocampus, amygdala and parahippocampal region

Bernasconi et al. 2003. Brain.

Multimodal Disease Biotyping
The superficial white matter in temporal lobe epilepsy: a key link between structural and functional network disruptions

Liu et al. 2016. Brain.

Whole-brain MRI phenotyping in dysplasia-related frontal lobe epilepsy

Hong et al. 2016. Neurology.

Magnetic resonance imaging pattern learning in temporal lobe epilepsy: Classification and prognostics

Bernhardt et al. 2015. Annals of Neurology.

Machine Learning (including Deep Learning)
Automated Detection of Epileptogenic Cortical Malformations Using Multimodal MRI

Gill et al. DLMIA-MLCDS MICCAI 2017.

Multimodal MRI profiling of focal cortical dysplasia type II

Hong et al. 2017. Neurology.

Automated detection of cortical dysplasia type II in MRI-negative epilepsy

Hong et al. 2014. Neurology.

Connectome Analysis
The spectrum of structural and functional network alterations in malformations of cortical development

Hong et al. 2017. Brain.

Structural substrates for resting network disruption in temporal lobe epilepsy

Voets et al. 2012. Brain.

Graph-theoretical analysis reveals disrupted small-world organization of cortical thickness correlation networks in temporal lobe epilepsy

Bernhardt et al. 2011. Cereb Cortex.