Faculty Bibliography

In this study, we employed a kernel support vector machine to predict epilepsy localization and lateralization for patients with a diagnosis of epilepsy (n = 228). We assessed the accuracy to which indices of verbal memory, visual memory, verbal fluency, and naming would localize and lateralize seizure focus in comparison to standard electroencephalogram (EEG). Classification accuracy was defined as models that produced the least cross-validated error (CVϵ). In addition, we assessed whether the inclusion of norm-based standard scores, demographics, and emotional functioning data would reduce CVϵ. Finally, we obtained class probabilities (i.e., the probability of a particular classification for each case) and produced receiver operating characteristic (ROC) curves for the primary analyses. We obtained the least error assessing localization data with the Gaussian radial basis kernel function (RBF; support vectors = 157, CVϵ = 0.22). There was no overlap between the localization and lateralization models, such that the poorest localization model (the hyperbolic tangent kernel function; support vectors = 91, CVϵ = 0.36) outperformed the strongest lateralization model (RBF; support vectors = 201, CVϵ = 0.39). Contrary to our hypothesis, the addition of norm, demographics, and emotional functioning data did not improve the accuracy of the models. Receiver operating characteristic curves suggested clinical utility in classifying epilepsy lateralization and localization using neuropsychological indicators, albeit with better discrimination for localizing determinations. This study adds to the existing literature by employing an analytic technique with inherent advantages in generalizability when compared to traditional single-sample, not cross-validated models. In the future, class probabilities extracted from these and similar analyses could supplement neuropsychological practice by offering a quantitative guide to clinical judgements.

Epilepsy is a prevalent condition characterized by variations in its clinical presentation, etiology, and amenability to treatment. Through history, neuropsychologists have played a significant role in performing research studies on changes in language, memory, and executive functioning in patients with epilepsy, including those undergoing surgical treatment for medically refractory seizures. These studies provided a foundation for establishing neuropsychologists as critical members of interdisciplinary clinical teams specializing in evaluation and treatment of epilepsy. This article describes a number of elements of specialized neuropsychological practice that have evolved over the years within a tertiary care epilepsy center. Through diagnostic interview and objective testing, the neuropsychologist is able to provide a more complete and objective understanding of a patient's cognitive and behavioral functioning than what is obtained by other clinicians through brief office visits. While assessment of cognition, mood, and behavior is the most commonly provided service to patients with epilepsy from all age groups, there are many instances when neuropsychologists in surgical settings are called to perform more specialized procedures, including the intracarotid amytal (Wada) procedure, electrocortical stimulation mapping of language eloquent brain regions, and functional brain imaging procedures. While working as a neuropsychologist on an interdisciplinary epilepsy care team requires specialized knowledge and clinical training, it is extremely satisfying due to the diversity of the patient population and the particular challenges resulting from the often unique manner that cognition and behavior can be affected in patients with epilepsy across the lifespan.

Sport Concussion Assessment Tool version 3 (SCAT-3) is one of the most widely researched concussion assessment tools in athletes. Here normative data for SCAT3 in nonathletes are presented. The SCAT3 was administered to 98 nonathlete healthy controls, as well as 118 participants with head-injury and 46 participants with other body trauma (OI) presenting to the ED. Reference values were derived and classifier functions were built to assess the accuracy of SCAT3. The control population had a mean of 2.30 (SD = 3.62) symptoms, 4.38 (SD = 8.73) symptom severity score (SSS), and 26.02 (SD = 2.52) standardized assessment of concussion score (SAC). Participants were more likely to be diagnosed with a concussion (from among healthy controls) if the SSS > 7; or SSS 7 and headache or pressure in head present, or SSS 7 and headache or pressure in head, or SSS