Predicting verbal memory decline following temporal lobe resection for epilepsy.


Journal

Acta neurologica Scandinavica
ISSN: 1600-0404
Titre abrégé: Acta Neurol Scand
Pays: Denmark
ID NLM: 0370336

Informations de publication

Date de publication:
Nov 2019
Historique:
received: 24 05 2019
accepted: 26 06 2019
pubmed: 6 7 2019
medline: 21 12 2019
entrez: 6 7 2019
Statut: ppublish

Résumé

The aim of the study was to develop a prediction model for verbal memory decline after temporal lobe resection (TLR) for epilepsy. The model will be used in the preoperative counselling of patients to give individualized information about risk for verbal memory decline. A sample of 110 consecutive patients who underwent TLR for epilepsy at Sahlgrenska University Hospital between 1987 and 2011 constituted the basis for the prediction model. They had all gone through a formal neuropsychological assessment before surgery and 2 years after. Penalized regression and 20 × 10-fold cross-validation were used in order to build a reliable model for predicting individual risks. The final model included four predictors: side of surgery; inclusion or not of the hippocampus in the resection; preoperative verbal memory function; and presence/absence of focal to bilateral tonic-clonic seizures (TCS) the last year prior to the presurgical investigation. The impact of a history of TCS is a new finding which we interpret as a sign of a more widespread network disease which influences neuropsychological function and the cognitive reserve. The model correctly identified 82% of patients with post-operative decline in verbal memory, and the overall accuracy was 70%-85% depending on choice of risk thresholds. The model makes it possible to provide patients with individualized prediction regarding the risk of verbal memory decline following TLR. This will help them make more informed decisions regarding treatment, and it will also enable the epilepsy surgery team to prepare them better for the rehabilitation process.

Identifiants

pubmed: 31273754
doi: 10.1111/ane.13146
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

312-319

Subventions

Organisme : Swedish state
ID : ALFGBG 429901
Organisme : Göteborg Foundation for Neurogical Research

Informations de copyright

© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Références

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Auteurs

Sofia Ljunggren (S)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.

Lena Andersson-Roswall (L)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.

Henrik Imberg (H)

Statistiska Konsultgruppen, Gothenburg, Sweden.
Department of Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Gothenburg, Sweden.

Hans Samuelsson (H)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.
Department of Psychology, University of Gothenburg, Gothenburg, Sweden.

Kristina Malmgren (K)

Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden.

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