Predicting verbal memory decline following temporal lobe resection for epilepsy
Artikel i vetenskaplig tidskrift, 2019

Objectives: 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. Materials and Methods: 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. Results: 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. Conclusions: 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.

penalized regression

temporal lobe resection

epilepsy surgery

verbal memory decline


Sofia Ljunggren

Göteborgs universitet

Lena Andersson-Roswall

Göteborgs universitet

Henrik Imberg

Chalmers, Matematiska vetenskaper, Tillämpad matematik och statistik

Göteborgs universitet

Statistiska Konsultgruppen

Hans Samuelsson

Göteborgs universitet

Kristina Malmgren

Göteborgs universitet

Acta Neurologica Scandinavica

0001-6314 (ISSN) 1600-0404 (eISSN)

Vol. 140 5 312-319









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