Personalized dynamic network models of the human brain as a future tool for planning and optimizing epilepsy therapy
Epilepsy is a common neurological disorder, with one third of patients not responding to
currently available antiepileptic drugs. The proportion of pharmacoresistant epilepsies has …
currently available antiepileptic drugs. The proportion of pharmacoresistant epilepsies has …
[HTML][HTML] Machine Learning in Neuroimaging of Epilepsy
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 …
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 …
exploration of drug‐resistant focal epilepsy. However, prognosticating surgery on an …
MEG abnormalities and mechanisms of surgical failure in neocortical epilepsy
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 …
fully understood why some surgeries are unsuccessful. By comparing interictal …
Intracranial EEG structure-function coupling and seizure outcomes after epilepsy surgery
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 …
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
Objective Identifying abnormalities on interictal intracranial electroencephalogram (iEEG),
by comparing patient data to a normative map, has shown promise for the localization of …
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 …
challenging. We investigated if (1) training more complex models,(2) recruiting larger …
Preoperative white matter network organization and memory decline after epilepsy surgery
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 …
lobe epilepsy (TLE) undergoing surgery. Global and local network abnormalities are well …
[HTML][HTML] Complementary structural and functional abnormalities to localise epileptogenic tissue
Background When investigating suitability for epilepsy surgery, people with drug-refractory
focal epilepsy may have intracranial EEG (iEEG) electrodes implanted to localise seizure …
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
Objective Social determinants of health, including the effects of neighborhood disadvantage,
impact epilepsy prevalence, treatment, and outcomes. This study characterized the …
impact epilepsy prevalence, treatment, and outcomes. This study characterized the …