Your browser doesn't support javascript.
loading
Temporal stability of intracranial electroencephalographic abnormality maps for localizing epileptogenic tissue.
Wang, Yujiang; Schroeder, Gabrielle M; Horsley, Jonathan J; Panagiotopoulou, Mariella; Chowdhury, Fahmida A; Diehl, Beate; Duncan, John S; McEvoy, Andrew W; Miserocchi, Anna; de Tisi, Jane; Taylor, Peter N.
Afiliação
  • Wang Y; CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
  • Schroeder GM; Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
  • Horsley JJ; UCL Queen Square Institute of Neurology, Queen Square, London, UK.
  • Panagiotopoulou M; CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
  • Chowdhury FA; CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
  • Diehl B; CNNP Lab, Interdisciplinary Computing and Complex BioSystems Group, School of Computing, Newcastle University, Newcastle Upon Tyne, UK.
  • Duncan JS; UCL Queen Square Institute of Neurology, Queen Square, London, UK.
  • McEvoy AW; UCL Queen Square Institute of Neurology, Queen Square, London, UK.
  • Miserocchi A; UCL Queen Square Institute of Neurology, Queen Square, London, UK.
  • de Tisi J; UCL Queen Square Institute of Neurology, Queen Square, London, UK.
  • Taylor PN; UCL Queen Square Institute of Neurology, Queen Square, London, UK.
Epilepsia ; 64(8): 2070-2080, 2023 08.
Article em En | MEDLINE | ID: mdl-37226553
ABSTRACT

OBJECTIVE:

Identifying abnormalities on interictal intracranial electroencephalogram (iEEG), by comparing patient data to a normative map, has shown promise for the localization of epileptogenic tissue and prediction of outcome. The approach typically uses short interictal segments of approximately 1 min. However, the temporal stability of findings has not been established.

METHODS:

Here, we generated a normative map of iEEG in nonpathological brain tissue from 249 patients. We computed regional band power abnormalities in a separate cohort of 39 patients for the duration of their monitoring period (.92-8.62 days of iEEG data, mean = 4.58 days per patient, >4800 hours recording). To assess the localizing value of band power abnormality, we computed D RS -a measure of how different the surgically resected and spared tissue was in terms of band power abnormalities-over time.

RESULTS:

In each patient, the D RS value was relatively consistent over time. The median D RS of the entire recording period separated seizure-free (International League Against Epilepsy [ILAE] = 1) and not-seizure-free (ILAE > 1) patients well (area under the curve [AUC] = .69). This effect was similar interictally (AUC = .69) and peri-ictally (AUC = .71).

SIGNIFICANCE:

Our results suggest that band power abnormality D_RS, as a predictor of outcomes from epilepsy surgery, is a relatively robust metric over time. These findings add further support for abnormality mapping of neurophysiology data during presurgical evaluation.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia / Eletrocorticografia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Epilepsia Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Epilepsia / Eletrocorticografia Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Epilepsia Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido
...