Connectomics and graph theory analyses: novel insights into network abnormalities in epilepsy
E Gleichgerrcht, M Kocher, L Bonilha - Epilepsia, 2015 - Wiley Online Library
The assessment of neural networks in epilepsy has become increasingly relevant in the
context of translational research, given that localized forms of epilepsy are more likely to be …
context of translational research, given that localized forms of epilepsy are more likely to be …
[HTML][HTML] An updated systematic review and meta-analysis of brain network organization in focal epilepsy: Looking back and forth
G Slinger, WM Otte, KPJ Braun… - … & Biobehavioral Reviews, 2022 - Elsevier
Abnormalities of the brain network organization in focal epilepsy have been extensively
quantified. However, the extent and directionality of abnormalities are highly variable and …
quantified. However, the extent and directionality of abnormalities are highly variable and …
Connectome biomarkers of drug‐resistant epilepsy
S Lariviere, A Bernasconi, N Bernasconi… - …, 2021 - Wiley Online Library
Drug‐resistant epilepsy (DRE) considerably affects patient health, cognition, and well‐
being, and disproportionally contributes to the overall burden of epilepsy. The most common …
being, and disproportionally contributes to the overall burden of epilepsy. The most common …
[HTML][HTML] Which multiband factor should you choose for your resting-state fMRI study?
Multiband acquisition, also called simultaneous multislice, has become a popular technique
in resting-state functional connectivity studies. Multiband (MB) acceleration leads to a higher …
in resting-state functional connectivity studies. Multiband (MB) acceleration leads to a higher …
Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing
Background and objective Multimodal data analysis and large-scale computational
capability is entering medicine in an accelerative fashion and has begun to influence …
capability is entering medicine in an accelerative fashion and has begun to influence …
Thalamus and focal to bilateral seizures: A multiscale cognitive imaging study
Objective To investigate the functional correlates of recurrent secondarily generalized
seizures in temporal lobe epilepsy (TLE) using task-based fMRI as a framework to test for …
seizures in temporal lobe epilepsy (TLE) using task-based fMRI as a framework to test for …
Deep learning with edge computing for localization of epileptogenicity using multimodal rs-fMRI and EEG big data
Epilepsy is a chronic brain disorder characterized by the occurrence of spontaneous
seizures of which about 30 percent of patients remain medically intractable and may …
seizures of which about 30 percent of patients remain medically intractable and may …
[HTML][HTML] Multidimensional associations between cognition and connectome organization in temporal lobe epilepsy
Objective Temporal lobe epilepsy (TLE) is known to affect large-scale structural networks
and cognitive function in multiple domains. The study of complex relations between …
and cognitive function in multiple domains. The study of complex relations between …
MRI-based machine learning prediction framework to lateralize hippocampal sclerosis in patients with temporal lobe epilepsy
Background and Objectives MRI fails to reveal hippocampal pathology in 30% to 50% of
temporal lobe epilepsy (TLE) surgical candidates. To address this clinical challenge, we …
temporal lobe epilepsy (TLE) surgical candidates. To address this clinical challenge, we …
Reduced thalamocortical functional connectivity in temporal lobe epilepsy
Objective In temporal lobe epilepsy (TLE), the thalamus is well known for its role in the
propagation and spread of epileptiform activity. However, the integrity of thalamocortical …
propagation and spread of epileptiform activity. However, the integrity of thalamocortical …