Awake intraoperative mapping for the prevention of amusia.

The authors describe the awake surgical mapping of music skills for patients who require resection in brain areas that may support musical abilities. A 65-year-old man was diagnosed with an anterolateral right temporal nonenhancing lesion, likely a diffusely infiltrating glioma, after presenting with several episodes of altered taste and smell and one episode of loss of consciousness. The patient specializes in music and music technology and has composed scores for films. An awake surgery was planned in a semiseated position. Prerecorded melodies were designed preoperatively as a surrogate for a composition skill task. These consisted of 10- to 15-second musical clips played during bipolar electrical stimulation of the overlying cortex and were divided into three segments: listen, play, and accuracy check. During the "listen" phase, the patient listened to a musical prompt. During the "play" phase, he played a musical response on a keyboard. Stimulation at multiple temporal neocortical sites was negative for any alteration in task performance. The patient did well postoperatively with excellent clinical and radiographic results and returned to composing music without functional compromise. Musical composition tasks can be performed safely intraoperatively for patients with musical expertise. Whether stimulating more posterior nondominant temporal neocortex or other cortical or white matter locations can disrupt this task remains undetermined.

Complementary auditory and Visual Naming Tests: Revised and updated for ages 16-55 years.

Objective: Historically, naming has been assessed with visual object naming; however, we have found that auditory description naming significantly enhances lateralization and localization of dysfunction. We previously published auditory naming (ANT) and complementary Visual Naming Tests (VNT) for young adults, and recently developed these measures for children (ages 6-15 years) and older adults (ages 56-100 years). Here, we update the original stimuli and more rigorously norm the tests for ages 16-55, addressing prior limitations. Methods: Test stimuli were selected based on item characteristics and preliminary screening, eliminating those with less than 90% name agreement. A sample of 178 healthy individuals ages 16-55 years were administered the updated ANT and VNT, and other standardized measures, either in person (n = 114) or via telehealth (n = 64). Results: With no effect of age, yet a significant influence of education, education-based normative data are provided for accuracy, tips-of-the-tongue (i.e. delayed, accurate responses plus correct responses following phonemic cueing), and an aggregate Summary Score. Internal and test-retest reliability coefficients were reasonable (.67-.90). Conclusions: These measures provide updated and improved naming assessment for ages 16-55 years, contributing to a contiguous set of naming tests for school-aged children through elderly adults. Compared to the original ANT and VNT, these measures were designed to have stimuli longevity, and offer reduced item burden and evidence-based recommendations for performance measures with the greatest clinical sensitivity. The addition of these measures enables continuity in assessment across the age span, facilitating longitudinal assessment related to disease progression or therapeutic intervention.

Application of the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) to frontal lobe epilepsy using multicenter data.

RATIONALE: The International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) was recently introduced as a consensus-based, empirically-driven taxonomy of cognitive disorders in epilepsy and has been effectively applied to patients with temporal lobe epilepsy (TLE). The purpose of this study was to apply the IC-CoDE to patients with frontal lobe epilepsy (FLE) using national multicenter data. METHODS: Neuropsychological data of 455 patients with FLE aged 16 years or older were available across four US-based sites. First, we examined test-specific impairment rates across sites using two impairment thresholds (1.0 and 1.5 standard deviations below the normative mean). Following the proposed IC-CoDE guidelines, patterns of domain impairment were determined based on commonly used tests within five cognitive domains (language, memory, executive functioning, attention/processing speed, and visuospatial ability) to construct phenotypes. Impairment rates and distributions across phenotypes were then compared with those found in patients with TLE for which the IC-CoDE classification was initially validated. RESULTS: The highest rates of impairment were found among tests of naming, verbal fluency, speeded sequencing and set-shifting, and complex figure copy. The following IC-CoDE phenotype distributions were observed using the two different threshold cutoffs: 23-40% cognitively intact, 24-29% single domain impairment, 13-20% bi-domain impairment, and 18-33% generalized impairment. Language was the most common single domain impairment (68% for both thresholds) followed by attention and processing speed (15-18%). Overall, patients with FLE reported higher rates of cognitive impairment compared with patients with TLE. CONCLUSIONS: These results demonstrate the applicability of the IC-CoDE to epilepsy syndromes outside of TLE. Findings indicated generally stable and reproducible phenotypes across multiple epilepsy centers in the U.S. with diverse sample characteristics and varied neuropsychological test batteries. Findings also highlight opportunities for further refinement of the IC-CoDE guidelines as the application expands.

Characterization and Prediction of Short-term Outcomes in Memory After Temporal Lobe Resection in Children With Epilepsy.

BACKGROUND AND OBJECTIVES: The aim of this study was to characterize short-term outcomes in episodic memory, as assessed by the Children's Memory Scale (CMS), after temporal lobe resection in children with epilepsy using empirical methods for assessing cognitive change (i.e., reliable change indices [RCI] and standardized regression-based change scores [SRB]) and develop and internally validate clinically applicable models to predict postoperative memory decline. METHODS: This retrospective cohort study included children aged 6-16 years who underwent resective epilepsy surgery that included the temporal lobe (temporal only: "temporal" and multilobar: "temporal plus") and who completed preoperative and postoperative neuropsychological assessments including the CMS. Change scores on the CMS delayed memory subtests (Faces, Stories, and Word Pairs) were classified as decline, no change, or improvement using epilepsy-specific RCI and SRB. Logistic regression models for predicting postoperative memory decline were developed and internally validated with bootstrapping. RESULTS: Of the 126 children included, most of them demonstrated either no significant change (54%-69%) or improvement (8%-14%) in memory performance using RCI on individual measures at a median of 7 months after surgery. A subset of children (23%-33%) showed postoperative declines. Change distributions obtained using RCI and SRB were not statistically significantly different from each other. Preoperative memory test score, surgery side, surgery extent, and preoperative full-scale IQ were predictors of memory decline. Prediction models for memory decline included subsets of these variables with bias-corrected concordance statistics ranging from 0.70 to 0.75. The models were well calibrated although slightly overestimated the probability of verbal memory decline in high-risk patients. DISCUSSION: This study used empiric methodology to characterize memory outcome in children after temporal lobe resection. Provided online calculator and nomograms may be used by clinicians to estimate the risk of postoperative memory decline for individual patients before surgery.

Afraid to go out: Poor quality of life with phobic anxiety in a large cross-sectional adult epilepsy center sample.

PURPOSE: People with epilepsy (PWE) have unmet healthcare needs, especially in the context of mental health. Although the current literature has established increased incidence of anxiety and depression in PWE and their contribution to poor quality of life, little is known regarding the presence and impact of specific phobia and agoraphobia. Our aim was to assess factors associated with high phobic/agoraphobic symptoms in a large, single tertiary epilepsy center sample, and to assess their impact on quality of life. METHODS: In a diverse sample of 420 adults with epilepsy, cross-sectional association of demographic, epilepsy and cognitive factors with high phobic symptoms were assessed using multiple logistic regression. Symptoms were measured with the SCL-90R validated self-report subscale (T-score ≥ 60 considered high phobic symptom group). Multiple logistic regression modeling was used to assess for independent association of demographic and clinical variables with presence of high phobic symptoms, and multiple linear regression modeling was used to evaluate for independent cross-sectional associations with epilepsy-specific quality of life (QOLIE-89). RESULTS: Lower education (adjusted OR 3.38), non-White race/ethnicity (adjusted OR 2.34), and generalized anxiety symptoms (adjusted OR 1.91) were independently associated with high phobic/agoraphobic symptoms, all p < 0.005. Phobic/agoraphobic symptoms were independently associated with poor quality of life as were depression symptoms, older age, and non-White race/ethnicity. Generalized anxiety did not demonstrate a significant independent association with quality of life in the multivariable model. CONCLUSION: In this study sample, phobic/agoraphobic symptoms were independently associated with poor quality of life. Clinicians should consider using more global symptom screening instruments with particular attention to susceptible populations, as these impactful symptoms may be overlooked using generalized-anxiety focused screening paradigms.

Development and application of the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE): Initial results from a multi-center study of adults with temporal lobe epilepsy.

[Correction Notice: An Erratum for this article was reported online in Neuropsychology on Sep 15 2022 (see record 2023-01997-001). In the original article, there was an error in Figure 2. In the box at the top left of the figure, the fourth explanation incorrectly stated, "Generalized impairment = At least one test < -1.0 or -1.5SD in three or more domains." The correct wording is "Generalized impairment = At least two tests < -1.0 or -1.5SD in each of three or more domains." All versions of this article have been corrected.] Objective: To describe the development and application of a consensus-based, empirically driven approach to cognitive diagnostics in epilepsy research-The International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) and to assess the ability of the IC-CoDE to produce definable and stable cognitive phenotypes in a large, multi-center temporal lobe epilepsy (TLE) patient sample. METHOD: Neuropsychological data were available for a diverse cohort of 2,485 patients with TLE across seven epilepsy centers. Patterns of impairment were determined based on commonly used tests within five cognitive domains (language, memory, executive functioning, attention/processing speed, and visuospatial ability) using two impairment thresholds (≤1.0 and ≤1.5 standard deviations below the normative mean). Cognitive phenotypes were derived across samples using the IC-CoDE and compared to distributions of phenotypes reported in existing studies. RESULTS: Impairment rates were highest on tests of language, followed by memory, executive functioning, attention/processing speed, and visuospatial ability. Application of the IC-CoDE using varying operational definitions of impairment (≤ 1.0 and ≤ 1.5 SD) produced cognitive phenotypes with the following distribution: cognitively intact (30%-50%), single-domain (26%-29%), bi-domain (14%-19%), and generalized (10%-22%) impairment. Application of the ≤ 1.5 cutoff produced a distribution of phenotypes that was consistent across cohorts and approximated the distribution produced using data-driven approaches in prior studies. CONCLUSIONS: The IC-CoDE is the first iteration of a classification system for harmonizing cognitive diagnostics in epilepsy research that can be applied across neuropsychological tests and TLE cohorts. This proof-of-principle study in TLE offers a promising path for enhancing research collaborations globally and accelerating scientific discoveries in epilepsy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Moving towards a taxonomy of cognitive impairments in epilepsy: application of latent profile analysis to 1178 patients with temporal lobe epilepsy.

In efforts to understand the cognitive heterogeneity within and across epilepsy syndromes, cognitive phenotyping has been proposed as a new taxonomy aimed at developing a harmonized approach to cognitive classification in epilepsy. Data- and clinically driven approaches have been previously used with variability in the phenotypes derived across studies. In our study, we utilize latent profile analysis to test several models of phenotypes in a large multicentre sample of patients with temporal lobe epilepsy and evaluate their demographic and clinical profiles. For the first time, we examine the added value of replacing missing data and examine factors that may be contributing to missingness. A sample of 1178 participants met the inclusion criteria for the study, which included a diagnosis of temporal lobe epilepsy and the availability of comprehensive neuropsychological data. Models with two to five classes were examined using latent profile analysis and the optimal model was selected based on fit indices, posterior probabilities and proportion of sample sizes. The models were also examined with imputed data to investigate the impact of missing data on model selection. Based on the fit indices, posterior probability and distinctiveness of the latent classes, a three-class solution was the optimal solution. This three-class solution comprised a group of patients with multidomain impairments, a group with impairments predominantly in language and a group with no impairments. Overall, the multidomain group demonstrated a worse clinical profile and comprised a greater proportion of patients with mesial temporal sclerosis, a longer disease duration and a higher number of anti-seizure medications. The four-class and five-class solutions demonstrated the lowest probabilities of a group membership. Analyses with imputed data demonstrated that the four-class solution was the optimal solution; however, there was a weak agreement between the missing and imputed data sets for the four-Class solutions (κ = 0.288, P < 0.001). This study represents the first to use latent profile analysis to test and compare multiple models of cognitive phenotypes in temporal lobe epilepsy and to determine the impact of missing data on model fit. We found that the three-phenotype model was the most meaningful based on several fit indices and produced phenotypes with unique demographic and clinical profiles. Our findings demonstrate that latent profile analysis is a rigorous method to identify phenotypes in large, heterogeneous epilepsy samples. Furthermore, this study highlights the importance of examining the impact of missing data in phenotyping methods. Our latent profile analysis-derived phenotypes can inform future studies aimed at identifying cognitive phenotypes in other neurological disorders.

Association of depression and COVID-induced PTSD with cognitive symptoms after COVID-19 illness.

OBJECTIVE: Many patients recovering from COVID-19 report persistent psychological and cognitive symptoms months after viral clearance. We examined the association of depression and COVID-induced PTSD with cognitive symptoms following COVID-19 illness. METHODS: Patients treated for COVID-19 between March 26 and May 27, 2020 were surveyed three months later. Cognitive symptoms were assessed by asking "Since your COVID-19 illness, do you now have more difficulty: 1) Remembering conversations a few days later? 2) Remembering where you placed familiar objects? 3) Finding the right words while speaking?" Patients endorsing at least one such complaint were coded positive for cognitive symptoms. Logistic regression was used to estimate the association of depression (PHQ-8 ≥ 10) and COVID-induced PTSD (PCL-5 ≥ 30) with cognitive symptoms, adjusting for demographic and clinical factors. RESULTS: Among 153 participants, 44.4% reported at least one cognitive symptom, 18.3% were depressed, and 23.5% had COVID-induced PTSD. Adjusting for covariates, depression (OR 5.15, 95% CI 1.30-20.35, p = 0.02) and COVID-induced PTSD (OR 3.67, 95% CI 1.13-11.89, p = 0.03) were significantly associated with cognitive symptoms; self-reported history of mental illness was also associated (OR 4.90, 95% CI 1.24-19.41, p = 0.02). CONCLUSIONS: Depression, COVID-induced PTSD, and prior mental illness were strongly associated with cognitive symptoms three months after acute COVID-19 illness.

Naming in Older Adults: Complementary Auditory and Visual Assessment.

OBJECTIVES: Naming difficulty is a common symptom of multiple age-related neurodegenerative disorders. As naming difficulty increases with age, valid, up-to-date naming assessment tools are crucial for differentiating between neurotypical changes in healthy aging and pathological naming difficulty. We aimed to develop and provide normative data for complementary auditory description naming and visual naming tests for older adults. Furthermore, these measures would include not only untimed accuracy, typically the sole naming performance measure, but also additional scores that incorporate features characteristic of actual word finding difficulty. METHODS: A normative sample of 407 healthy older adults, aged 56-100 years, were administered the Auditory Naming Test (ANT) and Visual Naming Test (VNT), and other standardized measures. RESULTS: Item analyses resulted in 36 stimuli for both tests. Age-stratified, education-based normative data are provided for accuracy, response time, tip-of-the-tongue (i.e., delayed, yet accurate responses plus correct responses following phonemic cueing), and multiple Summary Scores. Internal and test-retest reliability coefficients were reasonable (.59-.84). Untimed accuracy scores were high across age groups, seemingly reflecting stability of naming into late adulthood; however, time- and cue-based scores revealed reduced efficiency in word retrieval with increasing age. CONCLUSIONS: These complementary auditory and visual naming test for older adults improve upon the current standard by providing more sensitive performance measures and the addition of an auditory-verbal component for assessing naming. Detection of subtle naming changes in healthy aging holds promise for capturing symptomatic naming changes during the early stages of neurocognitive disorders involving expressive language, potentially assisting in earlier diagnoses and more timely treatment.

Electrically stimulated auras as a potential biomarker of the epileptogenic zone.

Electrocortical stimulation mapping (ESM) is often performed in patients undergoing stereoelectroencephalography (SEEG) prior to epilepsy surgery, with the goal of identifying functional cortex and preserving it postoperatively. ESM may also evoke a patient's typical seizure semiology. The purpose of this study was to determine whether the sites at which typical auras are evoked during ESM are associated with other known clinical and electrophysiologic biomarkers of the epileptogenic zone: the seizure onset zone (SOZ), the early spread zone (ES), and high-frequency oscillations (HFOs). We found that the sites at which auras were provoked were not consistently associated with known biomarkers (p = 0.09). We conclude that evoked auras during ESM may reflect electrical spread rather than true epileptogenicity, and that a larger study is needed to assess their potential value as independent epileptic biomarkers.

Nomograms to Predict Verbal Memory Decline After Temporal Lobe Resection in Adults With Epilepsy.

OBJECTIVE: To develop and externally validate models to predict the probability of postoperative verbal memory decline in adults following temporal lobe resection (TLR) for epilepsy using easily-accessible preoperative clinical predictors. METHODS: Multivariable models were developed to predict delayed verbal memory outcome on three commonly used measures: Rey Auditory Verbal Learning Test (RAVLT) and Logical Memory (LM) and Verbal Paired Associates (VPA) subtests from Wechsler Memory Scale-Third Edition. Using Harrell's step-down procedure for variable selection, models were developed in 359 adults who underwent TLR at Cleveland Clinic and validated in 290 adults at one of five epilepsy surgery centers in the United States or Canada. RESULTS: Twenty-nine percent of the development cohort and 26% of the validation cohort demonstrated significant decline on at least one verbal memory measure. Initial models had good to excellent predictive accuracy (calibration (c) statistic range=0.77-0.80) in identifying patients with memory decline; however, models slightly underestimated decline in the validation cohort. Model coefficients were updated using data from both cohorts to improve stability. The model for RAVLT included surgery side, baseline memory score, and hippocampal resection. The models for LM and VPA included surgery side, baseline score, and education. Updated model performance was good to excellent (RAVLT c=0.81, LM c=0.76, VPA c=0.78). Model calibration was very good, indicating no systematic over- or under-estimation of risk. CONCLUSIONS: Nomograms are provided in two easy-to-use formats to assist clinicians in estimating the probability of verbal memory decline in adults considering TLR for treatment of epilepsy. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that multivariable prediction models accurately predict verbal memory decline after temporal lobe resection for epilepsy in adults.

Predicting mood decline following temporal lobe epilepsy surgery in adults.

OBJECTIVE: To develop a model to predict the probability of mood decline in adults following temporal lobe resection for the treatment of pharmacoresistant epilepsy. METHODS: Variable selection was performed on 492 patients from the Cleveland Clinic using best subsets regression. After completing variable selection, a subset of variables was requested from four epilepsy surgery centers across North America (n = 100). All data were combined to develop a final model to predict postoperative mood decline (N = 592). Internal validation with bootstrap resampling was performed. A clinically significant increase in depressive symptoms was defined as a 15% increase in Beck Depression Inventory-Second Edition score and a postoperative raw score > 11. RESULTS: Fourteen percent of patients in the Cleveland Clinic cohort and 22% of patients in the external cohort experienced clinically significant increases in depressive symptoms following surgery. The final prediction model included six predictor variables: psychiatric history, resection side, relationship status, verbal fluency score, age at preoperative testing, and presence/absence of malformation of cortical development on magnetic resonance imaging. The model had an optimism-adjusted c-statistic of .70 and good calibration, with slight probability overestimation in higher risk patients. SIGNIFICANCE: Clinicians can utilize our nomogram via a paper tool or online calculator to estimate the risk of postoperative mood decline for individual patients prior to temporal lobe epilepsy surgery.

Intraindividual relative deficits in visual memory to lateralize seizure onset in temporal lobe epilepsy.

It is well established that presurgical neuropsychological assessment can assist in lateralizing and localizing focal epileptogenic regions. However, unlike verbal memory impairment, which is a robust and reliable finding in patients with left temporal lobe epilepsy (LTLE), nonverbal memory deficits are less consistently found among patients with right TLE (RTLE). This study aimed to determine whether memory assessment for spatial location in addition to visual content would differentiate patients with RTLE and LTLE. We compared performances between patients with 25 RTLE and 37 patients with LTLE on the Wechsler Advanced Clinical Solutions-Faces (ACS-F) subscales (Faces I, Faces II, Content, and Spatial), verbal-visual memory asymmetry scores, and intelligence quotient (IQ)-visual memory difference scores. Results revealed no significant differences between patients with RTLE and LTLE for any ACS-F memory score. By contrast, groups demonstrated significant differences in memory asymmetry scores (p = .007) and IQ difference scores (p = .006). Thus, visual memory scores in isolation failed to differentiate groups with RTLE and LTLE; however, within-patient differences between visual memory and other cognitive abilities successfully differentiated the groups. These results highlight the importance of using an intraindividual model of neuropsychological assessment to identify relative weaknesses potentially associated with the epileptogenic region.

Cortical naming sites and increasing age in adults with refractory epilepsy: More might be less.

OBJECTIVE: Critical decisions regarding resection boundaries for epilepsy surgery are often based on results of electrical stimulation mapping (ESM). Despite the potentially serious implications for postoperative functioning, age-referenced data that might facilitate the procedure are lacking. Age might be particularly relevant, as pediatric ESM studies have shown a paucity of language sites in young children followed by a rapid increase at approximately 8-10 years. Beyond adolescence, it has generally been assumed that the language system remains stable, and therefore, potential age-related changes across the adult age span have not been examined. However, increasing age during adulthood is associated with both positive and negative language-related changes, such as a broadening vocabulary and increased word finding difficulty. Because most patients who undergo ESM are adults, we aimed to determine the potential impact of age on the incidence of ESM-identified naming sites across the adult age span in patients with refractory epilepsy. METHODS: We analyzed clinical language ESM results from 47 patients, ages 17-64 years, with refractory dominant-hemisphere epilepsy. Patients had comparable location and number of cortical sites tested. The incidence of naming sites was examined as a function of age, and compared between younger and older adults. RESULTS: Significantly more naming sites were found in older than younger adults, and age was found to be a significant predictor of number of naming sites identified. SIGNIFICANCE: Unlike the developmental changes that coincide with increased naming sites in children, increased naming sites in older adults might signify greater vulnerability of the language system to disruption. Because preservation of language sites can limit the extent of the resection, and thereby reduce the likelihood of seizure freedom, further work should aim to determine the clinical relevance of increased naming sites in older adults.

Noninvasive identification of seizure lateralization in children: Name that thing.

OBJECTIVE: With this prospective, observational study, we aimed to determine whether noninvasive language tasks, developed specifically for children, could reliably identify the hemisphere of seizure onset in pediatric epilepsy. METHODS: Seventy-eight children with unilateral epilepsy (44 left), aged 6-15 years (mean age = 11.8, SD = 2.6), completed the Children's Auditory Naming and Visual Naming Tests, the Boston Naming Test, and other verbal and nonverbal tasks. Multivariate analysis of variance was used to compare test performance between left and right hemisphere epilepsy groups, and χ2 analyses and odds ratios were used to examine classification of left vs right hemisphere epilepsy for individual patients based on test performance. RESULTS: Group comparisons revealed poorer auditory naming in children with left hemisphere epilepsy (p = 0.02), yet no significant differences on measures of visual naming, general intelligence, or other cognitive functions. Moreover, χ2 analyses using auditory naming cutoff scores to define intact vs impaired performance correctly classified seizure laterality in a significant proportion of children (p = 0.004). The odds of left hemisphere epilepsy were 4.2 times higher (95% confidence interval 1.4-11.7) than the odds of right hemisphere epilepsy with poor auditory naming performance. In the subset of patients with temporal lobe epilepsy (TLE), the odds of left TLE were 11.3 times higher (95% confidence interval 2.00-63.17) than the odds of right TLE with poor auditory naming performance. CONCLUSION: Contrary to previous findings, naming performance can lateralize hemisphere of seizure onset in children with epilepsy, thereby assisting in the preoperative workup for pediatric epilepsy surgery.

Nomograms to predict naming decline after temporal lobe surgery in adults with epilepsy.

OBJECTIVE: To develop and externally validate models to predict the probability of postoperative naming decline in adults following temporal lobe epilepsy surgery using easily accessible preoperative clinical predictors. METHODS: In this retrospective, prediction model development study, multivariable models were developed in a cohort of 719 patients who underwent temporal lobe epilepsy surgery at Cleveland Clinic and externally validated in a cohort of 138 patients who underwent temporal lobe surgery at one of 3 epilepsy surgery centers in the United States (Columbia University Medical Center, Emory University School of Medicine, University of Washington School of Medicine). RESULTS: The development cohort was 54% female with an average age at surgery of 36 years (SD 12). Twenty-six percent of this cohort experienced clinically relevant postoperative naming decline. The model included 5 variables: side of surgery, age at epilepsy onset, age at surgery, sex, and education. When applied to the external validation cohort, the model performed very well, with excellent calibration and a c statistic (reflecting discriminatory ability) of 0.81. A second model predicting moderate to severe postoperative naming decline included 3 variables: side of surgery, age at epilepsy onset, and preoperative naming score. This model generated a c statistic of 0.84 in the external validation cohort and showed good calibration. CONCLUSION: Externally validated nomograms are provided in 2 easy-to-use formats (paper version and online calculator) clinicians can use to estimate the probability of naming decline in patients considering epilepsy surgery for treatment of pharmacoresistant temporal lobe epilepsy.

Assessment of Naming in Non-native English Speakers with Epilepsy.

OBJECTIVES: Naming assessment is a core component of neuropsychological evaluation, particularly in the surgical work up for patients with pharmacologically refractory epilepsy. Specifically, naming deficits are typically associated with left, but not right hemisphere epilepsy, thereby assisting with lateralization of seizure onset. We sought to determine whether bilingual (English as second language, ESL) and monolingual epilepsy patients with comparable education, intelligence, and objective vocabulary performance would perform similarly on standard naming measures, and whether ESL patients would demonstrate laterality effects in naming, similar to that observed in monolingual patients. METHODS: Participants were 242 adults with epilepsy (186 native, 56 ESL) who underwent neuropsychological evaluation and obtained normal range or higher scores on the Wechsler Adult Intelligence Scale (R/III/IV) Vocabulary subtest (scaled score≥8). Groups were compared on demographic factors and language performances (i.e., Boston Naming Test, Auditory & Visual Naming Test, word reading, fluency). RESULTS: Groups did not differ with respect to age, education, FSIQ, vocabulary, reading, or verbal fluency. However, ESL speakers earned poorer scores than native English speakers on all naming measures. Moreover, among ESL participants with unilateral epilepsy, a significant proportion of right hemisphere patients scored below cutoff for impairment. This contrasted with the more typical finding among native English speakers, whereby a significant proportion of left patients demonstrated naming impairment. CONCLUSIONS: These results underscore the complexity of verbal assessment in bilinguals, suggesting that naming performances by ESL individuals, even those considered proficient, with strong performances on other English verbal measures, cannot be interpreted by the same standards applied for native speakers. (JINS, 2018, 24, 1057-1063).

Temporal lobe epilepsy lateralization using retrospective cerebral blood volume MRI.

Steady-state cerebral blood volume (CBV) is tightly coupled to regional cerebral metabolism, and CBV imaging is a variant of MRI that has proven useful in mapping brain dysfunction. CBV derived from exogenous contrast-enhanced MRI can generate sub-millimeter functional maps. Higher resolution helps to more accurately interrogate smaller cortical regions, such as functionally distinct regions of the hippocampus. Many MRIs have fortuitously adequate sequences required for CBV mapping. However, these scans vary substantially in acquisition parameters. Here, we determined whether previously acquired contrast-enhanced MRI scans ordered in patients with unilateral temporal lobe epilepsy can be used to generate hippocampal CBV. We used intrinsic reference regions to correct for intensity scaling on a research CBV dataset to identify white matter as a robust marker for scaling correction. Next, we tested the technique on a sample of unilateral focal epilepsy patients using clinical MRI scans. We find evidence suggestive of significant hypometabolism in the ipsilateral-hippocampus of unilateral TLE subjects. We also highlight the subiculum as a potential driver of this effect. This study introduces a technique that allows CBV maps to be generated retrospectively from clinical scans, potentially with broad application for mapping dysfunction throughout the brain.