Personalized dynamic network models of the human brain as a future tool for planning and optimizing epilepsy therapy

I Dallmer‐Zerbe, P Jiruska, J Hlinka - Epilepsia, 2023 - Wiley Online Library
Epilepsy is a common neurological disorder, with one third of patients not responding to
currently available antiepileptic drugs. The proportion of pharmacoresistant epilepsies has …

[HTML][HTML] Machine Learning in Neuroimaging of Epilepsy

HM Lee, RS Gill, N Bernasconi… - Machine Learning for Brain …, 2023 - Springer
Epilepsy is a prevalent chronic condition affecting about 50 million people worldwide. A third
of patients suffer from seizures unresponsive to medication. Uncontrolled seizures damage …

The role of quantitative markers in surgical prognostication after stereoelectroencephalography

J Makhalova, T Madec… - Annals of Clinical …, 2023 - Wiley Online Library
Objective Stereoelectroencephalography (SEEG) is the reference method in the presurgical
exploration of drug‐resistant focal epilepsy. However, prognosticating surgery on an …

MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy

TW Owen, GM Schroeder, V Janiukstyte, GR Hall… - …, 2023 - Wiley Online Library
Objective Epilepsy surgery fails to achieve seizure freedom in 30%–40% of cases. It is not
fully understood why some surgeries are unsuccessful. By comparing interictal …

Intracranial EEG structure-function coupling and seizure outcomes after epilepsy surgery

N Sinha, JS Duncan, B Diehl, FA Chowdhury… - Neurology, 2023 - AAN Enterprises
Background and Objectives Surgery is an effective treatment for drug-resistant epilepsy,
which modifies the brain's structure and networks to regulate seizure activity. Our objective …

Temporal stability of intracranial electroencephalographic abnormality maps for localizing epileptogenic tissue

Y Wang, GM Schroeder, JJ Horsley… - …, 2023 - Wiley Online Library
Objective Identifying abnormalities on interictal intracranial electroencephalogram (iEEG),
by comparing patient data to a normative map, has shown promise for the localization of …

Predicting seizure outcome after epilepsy surgery: Do we need more complex models, larger samples, or better data?

MH Eriksson, M Ripart, RJ Piper, F Moeller, KB Das… - …, 2023 - Wiley Online Library
Objective The accurate prediction of seizure freedom after epilepsy surgery remains
challenging. We investigated if (1) training more complex models,(2) recruiting larger …

Preoperative white matter network organization and memory decline after epilepsy surgery

A Stasenko, E Kaestner, D Arienzo, AJ Schadler… - Journal of …, 2023 - thejns.org
OBJECTIVE Risk for memory decline is a common concern for individuals with temporal
lobe epilepsy (TLE) undergoing surgery. Global and local network abnormalities are well …

[HTML][HTML] Complementary structural and functional abnormalities to localise epileptogenic tissue

JJ Horsley, RH Thomas, FA Chowdhury, B Diehl… - …, 2023 - thelancet.com
Background When investigating suitability for epilepsy surgery, people with drug-refractory
focal epilepsy may have intracranial EEG (iEEG) electrodes implanted to localise seizure …

Association of neighborhood deprivation with white matter connectome abnormalities in temporal lobe epilepsy

DY Chu, N Adluru, VA Nair, T Choi, A Adluru… - …, 2023 - Wiley Online Library
Objective Social determinants of health, including the effects of neighborhood disadvantage,
impact epilepsy prevalence, treatment, and outcomes. This study characterized the …