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Indications and expectations for neuropsychological assessment in epilepsy surgery in children and adults

Baxendale, Sallie; Wilson, Sarah J; Baker, Gus A; Barr, William; Helmstaedter, Christoph; Hermann, Bruce P; Langfitt, John; Reuner, Gitta; Rzezak, Patricia; Samson, Séverine; Smith, Mary-Lou
In our first paper in this series (Epilepsia 2015; 56(5): 674-681), we published recommendations for the indications and expectations for neuropsychological assessment in routine epilepsy care. This partner paper provides a comprehensive overview of the more specialist role of neuropsychological assessment in the pre and postoperative evaluation of epilepsy surgery patients. The paper is in two parts. The first part presents the framework for the mandatory role of neuropsychologists in the presurgical evaluation of epilepsy surgery candidates. A preoperative neuropsychological assessment should be comprised of standardised measures of cognitive function in addition to wider measures of behavioural and psychosocial function. The results from the presurgical assessment are used to: (1) establish a baseline against which change can be measured following surgery; (2) provide a collaborative contribution to seizure characterization, lateralization and localization; (3) provide evidence-based predictions of cognitive risk associated with the proposed surgery; and (4) provide the evidence base for comprehensive preoperative counselling, including exploration of patient expectations of surgical treatment. The second part examines the critical role of the neuropsychologist in the evaluation of postoperative outcomes. Neuropsychological changes following surgery are dynamic and a comprehensive, long-term assessment of these changes following surgery should form an integral part of the postoperative follow-up. The special considerations with respect to pre and postoperative assessment when working with paediatric populations and those with an intellectual disability are also discussed. The paper provides a summary checklist for neuropsychological involvement throughout the epilepsy surgery process, based on the recommendations discussed.
PMID: 31262718
ISSN: 1950-6945
CID: 3967962

Reliable Digit Span: Does it Adequately Measure Suboptimal Effort in an Adult Epilepsy Population?

Maiman, Moshe; Del Bene, Victor A; MacAllister, William S; Sheldon, Sloane; Farrell, Eileen; Arce Rentería, Miguel; Slugh, Mitchell; Nadkarni, Siddhartha S; Barr, William B
Objective/UNASSIGNED:Assessment of performance validity is a necessary component of any neuropsychological evaluation. Prior research has shown that cutoff scores of ≤6 or ≤7 on Reliable Digit Span (RDS) can detect suboptimal effort across numerous adult clinical populations; however, these scores have not been validated for that purpose in an adult epilepsy population. This investigation aims to determine whether these previously established RDS cutoff scores could detect suboptimal effort in adults with epilepsy. Method/UNASSIGNED:Sixty-three clinically referred adults with a diagnosis of epilepsy or suspected seizures were administered the Digit Span subtest of the Wechsler Adult Intelligence Scale (WAIS-III or WAIS-IV). Most participants (98%) passed Trial 2 of the Test of Memory Malingering (TOMM), achieving a score of ≥45. Results/UNASSIGNED:Previously established cutoff scores of ≤6 and ≤7 on RDS yielded a specificity rate of 85% and 77% respectively. Findings also revealed that RDS scores were positively related to attention and intellectual functioning. Given the less than ideal specificity rate associated with each of these cutoff scores, together with their strong association to cognitive factors, secondary analyses were conducted to identify more optimal cutoff scores. Preliminary results suggest that an RDS cutoff score of ≤4 may be more appropriate in a clinically referred adult epilepsy population with a low average IQ or lower. Conclusions/UNASSIGNED:Preliminary findings indicate that cutoff scores of ≤6 and ≤7 on RDS are not appropriate in adults with epilepsy, especially in individuals with low average IQ or below.
PMID: 29659666
ISSN: 1873-5843
CID: 3042972

Persistent postconcussive symptoms after sport-related concussion

Chapter by: McCrea, Michael A; Asken, Breton M; Nelson, Lindsay D; Barr, William B
in: Neuropsychology of sports-related concussion by Arnett, Peter A [Ed]
Washington, DC, US: American Psychological Association, 2019
pp. 9-41
ISBN: 1433829797
CID: 3356972

Chronic traumatic encephalopathy

Chapter by: Barr, William B; Karantzoulis, Stella
in: Handbook on the neuropsychology of aging and dementia., 2nd ed by Ravdin, Lisa D [Ed]; Katzen, Heather L [Ed]
Cham, Switzerland: Springer Nature Switzerland AG; Switzerland, 2019
pp. 727-745
ISBN: 978-3-319-93496-9
CID: 4640202

Seizure disorders

Chapter by: Tam, Danny M; Barr, William B
in: Oxford handbook of adult cognitive disorders by Alosco, Michael L; Stern, Robert A
New York : Oxford University Press, 2019
pp. 464-481
ISBN: 9780190664121
CID: 5095362

WHO-AVLT recognition trial: Initial validation for a new malingering index for Spanish-speaking patients

Reyes, Anny; LaBode-Richman, Vanessa; Salinas, Lilian; Barr, William B
Several methods for identifying suboptimal effort on Spanish neuropsychological assessment have been established. The purpose of this retrospective study was to determine whether recognition data from the WHO-AVLT could be employed for determination of malingering in a Spanish-speaking sample. Sixteen subjects in litigation, 25 neurological patients, and 14 healthy controls completed neuropsychological testing. All subjects completed the Test of Memory Malingering (TOMM). Inclusion criteria for neurological patients and controls included performance above the standard TOMM cutoff. Subjects in litigation were classified as probable malingering, through lower than cutoff performance on the TOMM and at least one other performance validity measure. Cut-off scores for classification of malingering were determined based on the number of recognition hits on the WHO-AVLT. The probable malingering group performed significantly worse than both groups on recognition hits. A score <10 was determined to be the optimal group cutoff, with 56.25% sensitivity and specificity greater than 92%. A combination score of 14 increased sensitivity to 68.75%. These findings provide initial validation of a new malingering index, based on the number of hits on the WHO-AVLT recognition trial. This index will provide valuable information to neuropsychologists conducting forensic or clinical evaluations on Spanish-speaking individuals.
PMID: 30183353
ISSN: 2327-9109
CID: 3274742

Machine learning as a new paradigm for characterizing localization and lateralization of neuropsychological test data in temporal lobe epilepsy

Frank, Brandon; Hurley, Landon; Scott, Travis M; Olsen, Pat; Dugan, Patricia; Barr, William B
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.
PMID: 30082202
ISSN: 1525-5069
CID: 3226502

Neuropsychology Within a Tertiary Care Epilepsy Center

Morrison, Chris E; MacAllister, William S; Barr, William B
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.
PMID: 29718083
ISSN: 1873-5843
CID: 3061632

Assessment of acute head injury in an emergency department population using sport concussion assessment tool - 3rd edition

Bin Zahid, Abdullah; Hubbard, Molly E; Dammavalam, Vikalpa M; Balser, David Y; Pierre, Gritz; Kim, Amie; Kolecki, Radek; Mehmood, Talha; Wall, Stephen P; Frangos, Spiros G; Huang, Paul P; Tupper, David E; Barr, William; Samadani, Uzma
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
PMID: 27854143
ISSN: 2327-9109
CID: 2310982

Acute Clinical Predictors of Symptom Recovery in Emergency Department Patients with Uncomplicated Mild Traumatic Brain Injury (mTBI) or Non-TBI Injuries

Nelson, Lindsay D; Furger, Robyn E; Ranson, Jana; Tarima, Sergey; Hammeke, Thomas A; Randolph, Christopher; Barr, William B; Guskiewicz, Kevin K; Olsen, Christopher M; Lerner, E Brooke; McCrea, Michael
There is a subset of patients with mild traumatic brain injury (mTBI) that report persistent symptoms that impair their functioning and quality of life. Being able to predict which patients will experience prolonged symptom recovery would help clinicians target resources for clinical follow-up to those most in need and would facilitate research to develop precision medicine treatments for mTBI. The purpose of this study was to investigate the predictors of symptom recovery in a prospective sample of emergency department trauma patients with either mTBI or non-mTBI injuries. Subjects were examined at several time points from within 72 hours to 45 days post-injury. We quantified and compared the value of a variety of demographic, injury, and clinical assessment (symptom, neurocognitive) variables for predicting self-reported symptom duration in both mTBI (n = 89) and trauma control (n = 73) patients. Several injury-related and neuropsychological variables assessed acutely (< 72 hours) post-injury predicted symptom duration, particularly loss of consciousness (mTBI group), acute somatic symptom burden (both groups), and acute reaction time (both groups), with reasonably good model fit when including all of these variables (AUC = .76). Incorporating self-reported litigation involvement modestly increased prediction further (AUC = .80). The results highlight the multifactorial nature of mTBI recovery, and injury recovery more generally, and the need to incorporate a variety of variables to achieve adequate prediction. Further research to improve this model and validate it in new and more diverse trauma samples will be useful to build a neurobiopsychosocial model of recovery that informs treatment development.
PMCID:5784791
PMID: 29017409
ISSN: 1557-9042
CID: 2732252