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This study evaluated the performance characteristics, construct validity, and reliability of two computerized, self-administered verbal and visual recognition memory tests based on the Remember-Know paradigm. Around 250 healthy control participants and 440 patients referred for neuropsychological assessment used an iPad to complete the Words and Faces recognition memory tests before or after concurrent neuropsychological testing. Performance accuracy was high but without ceiling effects. Education, but not age, was related to overall performance for both samples while the influence of gender and race differed across samples. In the clinical sample, overall performance was worse in those patients demonstrating memory impairment on clinical assessment. Words and Faces subtests demonstrated the strongest correlations with neuropsychological measures of verbal and nonverbal memory, respectively. Both showed moderate correlations with processing speed while Faces was also correlated with visuospatial skills. The memory tests showed good test–retest reliability over two testing sessions. These findings demonstrate acceptable psychometric properties in clinical and community samples and suggest that this computerized format is feasible for memory assessment in clinical contexts. [ABSTRACT FROM AUTHOR]

Background: PTEN is a well-established risk gene for autism spectrum disorder (ASD). Yet, little is known about how PTEN mutations and associated molecular processes influence neurobehavioral function in mutation carriers with (PTEN-ASD) and without ASD (PTEN no-ASD). The primary aim of the present study was to examine group differences in peripheral blood-derived PTEN pathway protein levels between PTEN-ASD, PTEN no-ASD, and idiopathic macrocephalic ASD patients (macro-ASD). Secondarily, associations between protein levels and neurobehavioral functions were examined in the full cohort. Methods: Patients were recruited at four tertiary medical centers. Peripheral blood-derived protein levels from canonical PTEN pathways (PI3K/AKT and MAPK/ERK) were analyzed using Western blot analyses blinded to genotype and ASD status. Neurobehavioral measures included standardized assessments of global cognitive ability and multiple neurobehavioral domains. Analysis of variance models examined group differences in demographic, neurobehavioral, and protein measures. Bivariate correlations, structural models, and statistical learning procedures estimated associations between molecular and neurobehavioral variables. To complement patient data, Western blots for downstream proteins were generated to evaluate canonical PTEN pathways in the PTEN-m3m4 mouse model. Results: Participants included 61 patients (25 PTEN-ASD, 16 PTEN no-ASD, and 20 macro-ASD). Decreased PTEN and S6 were observed in both PTEN mutation groups. Reductions in MnSOD and increases in P-S6 were observed in ASD groups. Elevated neural P-AKT/AKT and P-S6/S6 from PTEN murine models parallel our patient observations. Patient PTEN and AKT levels were independently associated with global cognitive ability, and p27 expression was associated with frontal sub-cortical functions. As a group, molecular measures added significant predictive value to several neurobehavioral domains over and above PTEN mutation status. Limitations: Sample sizes were small, precluding within-group analyses. Protein and neurobehavioral data were limited to a single evaluation. A small number of patients were excluded with invalid protein data, and cognitively impaired patients had missing data on some assessments. Conclusions: Several canonical PTEN pathway molecules appear to influence the presence of ASD and modify neurobehavioral function in PTEN mutation patients. Protein assays of the PTEN pathway may be useful for predicting neurobehavioral outcomes in PTEN patients. Future longitudinal analyses are needed to replicate these findings and evaluate within-group relationships between protein and neurobehavioral measures. Trial registration: ClinicalTrials.gov Identifier NCT02461446 [ABSTRACT FROM AUTHOR]

Objective: Patients with temporal lobe epilepsy (TLE) are often at a high risk for cognitive and psychiatric comorbidities. Several cognitive phenotypes have been identified in TLE, but it is unclear how phenotypes relate to psychiatric comorbidities, such as anxiety and depression. This observational study investigated the relationship between cognitive phenotypes and psychiatric symptomatology in TLE. Methods: A total of 826 adults (age = 40.3, 55% female) with pharmacoresistant TLE completed a neuropsychological evaluation that included at least two measures from five cognitive domains to derive International Classification of Cognitive Disorders in Epilepsy (IC‐CoDE) cognitive phenotypes (i.e., intact, single‐domain impairment, bi‐domain impairment, generalized impairment). Participants also completed screening measures for depression and anxiety. Psychiatric history and medication data were extracted from electronic health records. Multivariable proportional odds logistic regression models examined the relationship between IC‐CoDE phenotypes and psychiatric variables after controlling for relevant covariates. Results: Patients with elevated depressive symptoms had a greater odds of demonstrating increasingly worse cognitive phenotypes than patients without significant depressive symptomatology (odds ratio [OR] = 1.123–1.993, all corrected p's <.05). Number of psychotropic (OR = 1.584, p <.05) and anti‐seizure medications (OR = 1.507, p <.001), use of anti‐seizure medications with mood‐worsening effects (OR = 1.748, p =.005), and history of a psychiatric diagnosis (OR = 1.928, p <.05) also increased the odds of a more severe cognitive phenotype, while anxiety symptoms were unrelated. Significance: This study demonstrates that psychiatric factors are not only associated with function in specific cognitive domains but also with the pattern and extent of deficits across cognitive domains. Results suggest that depressive symptoms and medications are strongly related to cognitive phenotype in adults with TLE and support the inclusion of these factors as diagnostic modifiers for cognitive phenotypes in future work. Longitudinal studies that incorporate neuroimaging findings are warranted to further our understanding of the complex relationships between cognition, mood, and seizures and to determine whether non‐pharmacologic treatment of mood symptoms alters cognitive phenotype. [ABSTRACT FROM AUTHOR]

• Adverse social determinants of health (SDOH) factors are overrepresented in older adults with epilepsy. • Individual-level SDOH were predictors of lower cognitive performance. • Greater neighborhood deprivation was associated with worse cognitive performance. • Patients with cognitive impairment had a greater number of adverse SDOH factors. Epilepsy is associated with significant health disparities, including access to specialized care and adverse outcomes that have been associated with several social determinants of health (SDOH). We sought to examine the relationship between individual- and community-level SDOH and cognitive outcomes in older adults with epilepsy. We collected clinical, SDOH, and neuropsychological data in 57 older adults with epilepsy. Individual-level SDOH included patient factors (quality of education, income, insurance, marital status) and early-life environmental factors (parental education and occupation, childhood employment). Neighborhood deprivation was measured with the Area Deprivation Index (ADI). Stepwise regressions were conducted to examine the independent contribution of individual-level SDOH to cognitive performance, and Spearman rho correlations were conducted to examine the relationship between ADI and cognitive performance. The SDOH profiles of patients who met the criteria for cognitive impairment were examined. After controlling for clinical variables, patient factors (public health insurance, poorer quality of education) and early-life environmental factors (lower mother's education, lower father's and mother's occupational complexity, history of childhood employment) were significant predictors of lower performance on measures of global cognition, verbal learning and memory, processing speed, and executive function. Higher ADI values (greater disadvantage) were associated with lower scores on global cognitive measures, verbal learning and memory, and executive function. Patients who met criteria for cognitive impairment had, on average, a greater number of adverse SDOH, including lower household incomes and father's education, and higher ADI values compared to those who were cognitively intact. We provide new evidence of the role of individual- and community-level SDOH on cognitive outcomes in older adults with epilepsy. This emerging literature highlights the need to examine SDOH beyond epilepsy-related clinical factors. These data could inform the development of interventions focused on increasing access to epilepsy care, education, and resources and promoting brain and cognitive health within the most at-risk communities. [ABSTRACT FROM AUTHOR]

• The Words and Faces tests are self-administered, computerized recognition memory tasks. • The Words and Faces tests show good convergent and divergent validity with gold standard neuropsychological testing in epilepsy. • The Words and Faces tests show excellent predictive accuracy in identifying patients with impairments on traditional memory measures. • Patients with epilepsy have lower scores on these automated memory measures than healthy controls. • Scores on the Words and Faces tests are associated with AED burden and seizure localization. • The Words and Faces tests are valid, computerized tools that can be used to screen for memory and other cognitive impairment in epilepsy. Cognitive impairment is prevalent in epilepsy and often presents at the time of initial diagnosis. This study sought to validate brief, self-administered, iPad-based recognition memory tasks in a sample of patients with epilepsy and to examine their screening utility in identifying patients with cognitive impairment. The Words and Faces tests were administered to 145 adult patients with epilepsy along with a neuropsychological battery. Correlation analyses examined the convergent and divergent validity of the Words and Faces tests, and a series of logistic regression analyses examined discriminative ability in identifying patients with and without cognitive impairments on neuropsychological measures. Patient performance was compared to that of a healthy control group (n = 223), and the relationship between the Words and Faces test performance and disease-related variables (i.e., antiepileptic medication burden, seizure lateralization/localization) was examined. The Words and Faces tests were positively correlated with traditional paper-and-pencil neuropsychological measures of episodic memory, with generally moderate to large effect sizes (r >.40), while correlations between the Words and Faces tests and non-memory measures were generally small in magnitude (r <.30). Patients with epilepsy had significantly lower scores on Words and Faces tests compared to healthy controls, and performance was associated with antiepileptic medication burden and seizure localization. The Words and Faces tests demonstrated good predictive accuracy in identifying any cognitive impairment (concordance (c) statistic =.77) and excellent predictive accuracy (c =.85) in identifying patients with impairments on traditional memory measures. The Words and Faces tests also demonstrated reasonable discrimination for impairments in non-memory domains including executive function, language, attention, processing speed, and visuospatial ability (c =.62 −.70). Importantly, the Words and Faces Immediate Index performed just as well as the Total Score (which included delayed memory performance), suggesting a short version of this measure is sufficient for identifying patients with cognitive impairment. The Words and Faces tests are valid, computerized tools that can be used to screen for memory and other cognitive impairment in adults with epilepsy. [ABSTRACT FROM AUTHOR]

This study aimed to characterize the relationship between insistence on sameness (IS), executive functioning (EF) and anxiety among individuals with PTEN mutations and individuals with macrocephalic ASD. The sample included 38 individuals with PTEN mutation and ASD diagnosis (PTEN-ASD; Mage = 8.93 years, SDage = 4.75), 23 with PTEN mutation without ASD (PTEN-no ASD; Mage = 8.94 years; SDage = 4.85) and 25 with ASD and macrocephaly but with no PTEN mutation (Macro-ASD; Mage = 11.99 years; SDage = 5.15). The final model accounted for 45.7% of variance in IS, with Set-Shifting EF subdomain as a unique independent predictor (t = 4.12, p < 0.001). This investigation provides the first preliminary evidence for the EF—anxiety—IS interrelationship in individuals with PTEN mutations and with macrocephalic ASD. [ABSTRACT FROM AUTHOR]

Objective: The aim was to compare the outcomes of subdural electrode (SDE) implantations versus stereotactic electroencephalography (SEEG), the 2 predominant methods of intracranial electroencephalography (iEEG) performed in difficult‐to‐localize drug‐resistant focal epilepsy. Methods: The Surgical Therapies Commission of the International League Against Epilepsy created an international registry of iEEG patients implanted between 2005 and 2019 with ≥1 year of follow‐up. We used propensity score matching to control exposure selection bias and generate comparable cohorts. Study endpoints were: (1) likelihood of resection after iEEG; (2) seizure freedom at last follow‐up; and (3) complications (composite of postoperative infection, symptomatic intracranial hemorrhage, or permanent neurological deficit). Results: Ten study sites from 7 countries and 3 continents contributed 2,012 patients, including 1,468 (73%) eligible for analysis (526 SDE and 942 SEEG), of whom 988 (67%) underwent subsequent resection. Propensity score matching improved covariate balance between exposure groups for all analyses. Propensity‐matched patients who underwent SDE had higher odds of subsequent resective surgery (odds ratio [OR] = 1.4, 95% confidence interval [CI] 1.05, 1.84) and higher odds of complications (OR = 2.24, 95% CI 1.34, 3.74; unadjusted: 9.6% after SDE vs 3.3% after SEEG). Odds of seizure freedom in propensity‐matched resected patients were 1.66 times higher (95% CI 1.21, 2.26) for SEEG compared with SDE (unadjusted: 55% seizure free after SEEG‐guided resections vs 41% after SDE). Interpretation: In comparison to SEEG, SDE evaluations are more likely to lead to brain surgery in patients with drug‐resistant epilepsy but have more surgical complications and lower probability of seizure freedom. This comparative‐effectiveness study provides the highest feasible evidence level to guide decisions on iEEG. ANN NEUROL 2021;90:927–939 [ABSTRACT FROM AUTHOR]

• Little is understood about genetic factors in cognitive function and outcomes in TLE. • Results did not identify any significant relationship between PGS and cognition in TLE. • More research is needed to examine the role of genetic variation in cognition in TLE. • Future studies should seek to develop PGS specific to cognition in epilepsy. Demographic and disease factors are associated with cognitive deficits and postoperative cognitive declines in adults with pharmacoresistant temporal lobe epilepsy (TLE), but the role of genetic factors in cognition in TLE is not well understood. Polygenic scores (PGS) for neurological and neuropsychiatric disorders and IQ have been associated with cognition in patient and healthy populations. In this exploratory study, we examined the relationship between PGS for Alzheimer's disease (AD), depression, and IQ and cognitive outcomes in adults with TLE. 202 adults with pharmacoresistant TLE had genotyping and completed neuropsychological evaluations as part of a presurgical work-up. A subset (n = 116) underwent temporal lobe resection and returned for postoperative cognitive testing. Logistic regression was used to determine if PGS for AD, depression, and IQ predicted baseline domain-specific cognitive function and cognitive phenotypes as well as postoperative language and memory decline. No significant findings survived correction for multiple comparisons. Prior to correction, higher PGS for AD and depression (i.e., increased genetic risk for the disorder), but lower PGS for IQ (i.e., decreased genetic likelihood of high IQ) appeared possibly associated with baseline cognitive impairment in TLE. In comparison, higher PGS for AD and IQ appeared as possible risk factors for cognitive decline following temporal lobectomy, while the possible relationship between PGS for depression and post-operative cognitive outcome was mixed. We did not observe any relationships of large effect between PGS and cognitive function or postsurgical outcome; however, results highlight several promising trends in the data that warrant future investigation in larger samples better powered to detect small genetic effects. [ABSTRACT FROM AUTHOR]

Objective: Word finding or "naming" difficulty is a symptom of multiple neurological disorders; therefore, naming assessment is an integral component of neuropsychological evaluation. Prior work has found weaker second-language naming in healthy proficient bilingual youth than monolingual youth, and similar findings have been shown in adults with epilepsy. Considering the potential influences of both early onset epilepsy and bilingualism on brain development, we compared naming in English second language (ESL) and monolingual youth with epilepsy. To assess the impact of bilingualism independent of the known effects of seizure laterality (i.e., poor naming in those with left, dominant-hemisphere seizures), we excluded patients with left language dominance and unilateral seizures. We hypothesized that like other groups, naming would be weaker in ESL than in monolingual youth with epilepsy. Participants and Methods: Participants included 84 children with seizures that could not be lateralized clinically (n=36), bilateral seizures (n=20), centrotemporal spikes (n=3), and those with unilateral seizures and atypical language dominance (n=25), ages 6-15 years old: 66 monolingual, English (mean age: 10.87 ± 2.70 years) and 18 ESL (mean age: 10.78 ± 2.88 years). Those with FSIQ < 70 and vocabulary SS < 6 were excluded to ensure English proficiency. Independent samples t-tests, multivariate ANOVA, and chi-square tests compared groups on demographic factors and test performance. All measures (FSIQ, WISC/WASI Vocabulary, letter and category fluency, Children's Auditory (AN) and Visual Naming (VN) Tests) were administered in English. Results: Monolingual and ESL groups did not differ in: age, sex, SES, seizure type (i.e., non-lateralized, bilateral, centrotemporal spikes, or atypical language dominance), epilepsy onset age, or number of AEDs. Comparisons also showed no differences in FSIQ, vocabulary, letter fluency, or category fluency (all ps > 0.05). By contrast, auditory and visual naming performances were weaker among ESL patients than monolingual patients: AN accuracy, F(1,81) = 10.89, p = 0.001; AN tip-of-the-tongues (TOTs), F(1,81) = 6.35, p = 0.014; AN Summary Scores (SS), F(1,81) = 6.17, p = 0.015; VN accuracy, F(1,81) = 4.66, p = 0.034; VN SS, F(1,81) = 4.87, p = 0.030, with the exception of VN TOTs, which approached significance, F(1,81) = 3.55, p = 0.063. Conclusions: Consistent with findings in bilingual healthy youth and ESL adults with epilepsy, naming in ESL youth with epilepsy was weaker than in monolingual children. The groups did not differ on other aspects of language. Thus, unlike other expressive verbal functions, naming is adversely affected in the second language of bilingual people with epilepsy across the age span. These results suggest that poor naming in ESL patients cannot be used to infer a naming deficit, and/or left (dominant) temporal lobe dysfunction. [ABSTRACT FROM AUTHOR]

Objective: To define left temporal lobe regions where surgical resection produces a persistent postoperative decline in naming visual objects. Methods: Pre‐ and postoperative brain magnetic resonance imaging data and picture naming (Boston Naming Test) scores were obtained prospectively from 59 people with drug‐resistant left temporal lobe epilepsy. All patients had left hemisphere language dominance at baseline and underwent surgical resection or ablation in the left temporal lobe. Postoperative naming assessment occurred approximately 7 months after surgery. Surgical lesions were mapped to a standard template, and the relationship between presence or absence of a lesion and the degree of naming decline was tested at each template voxel while controlling for effects of overall lesion size. Results: Patients declined by an average of 15% in their naming score, with wide variation across individuals. Decline was significantly related to damage in a cluster of voxels in the ventral temporal lobe, located mainly in the fusiform gyrus approximately 4‐6 cm posterior to the temporal tip. Extent of damage to this region explained roughly 50% of the variance in outcome. Picture naming decline was not related to hippocampal or temporal pole damage. Significance: The results provide the first statistical map relating lesion location in left temporal lobe epilepsy surgery to picture naming decline, and they support previous observations of transient naming deficits from electrical stimulation in the basal temporal cortex. The critical lesion is relatively posterior and could be avoided in many patients undergoing left temporal lobe surgery for intractable epilepsy. [ABSTRACT FROM AUTHOR]

Many adults with temporal lobe epilepsy (TLE) report subjective cognitive impairment; however, prior studies have shown a discrepancy between these subjective complaints and objective cognitive deficits on neuropsychological measures. Mood disorders/symptoms are also common in TLE and have been linked to greater subjective cognitive difficulties. To further understand these relationships, this retrospective study sought to determine if symptoms of depression and anxiety moderate or mediate the relationship between subjective cognitive impairment and objective cognitive performance in adults with TLE. Participants were 345 adults (mean age = 40.7; 55 % female) with pharmacoresistant TLE who completed self-report screening measures of depression, anxiety, and subjective cognitive function along with objective memory measures as part of a pre-surgical clinical neuropsychological evaluation. A series of linear regression analyses was conducted to examine the potential moderating and mediating effects of mood on the relationship between subjective and objective memory function after adjusting for relevant covariates. Consistent with existing literature, self-reported depression and anxiety symptoms were significantly correlated with subjective memory difficulties across all scales (all p <.001). Subjective memory impairment was also significantly correlated with objective memory performance on neuropsychological measures, albeit with small effect sizes (estimate range 0.04-0.20). Contrary to our hypothesis, depression and anxiety did not moderate or mediate the relationship between subjective memory complaints and objective memory performance. While symptoms of depression and anxiety were associated with subjective memory ability in this cohort of adults with TLE, this study suggests that mood symptoms do not fully explain the relationship between subjective and objective memory function, likely reflecting the complex and multifactorial relationships among these variables. Nevertheless, our results highlight the importance of screening for depression and anxiety symptoms and assessing patients' subjective memory complaints as part of a neuropsychological evaluation as each of these factors tap into a different aspect of the patient functioning. [ABSTRACT FROM AUTHOR]

Rare genetic variants can cause epilepsy, and genetic testing has been widely adopted for severe, paediatric-onset epilepsies. The phenotypic consequences of common genetic risk burden for epilepsies and their potential future clinical applications have not yet been determined. Using polygenic risk scores (PRS) from a European-ancestry genome-wide association study in generalized and focal epilepsy, we quantified common genetic burden in patients with generalized epilepsy (GE-PRS) or focal epilepsy (FE-PRS) from two independent non-Finnish European cohorts (Epi25 Consortium, n = 5705; Cleveland Clinic Epilepsy Center, n = 620; both compared to 20 435 controls). One Finnish-ancestry population isolate (Finnish-ancestry Epi25, n = 449; compared to 1559 controls), two European-ancestry biobanks (UK Biobank, n = 383 656; Vanderbilt biorepository, n = 49 494), and one Japanese-ancestry biobank (BioBank Japan, n = 168 680) were used for additional replications. Across 8386 patients with epilepsy and 622 212 population controls, we found and replicated significantly higher GE-PRS in patients with generalized epilepsy of European-ancestry compared to patients with focal epilepsy (Epi25: P = 1.64×10-15; Cleveland: P = 2.85×10-4; Finnish-ancestry Epi25: P = 1.80×10-4) or population controls (Epi25: P = 2.35×10-70; Cleveland: P = 1.43×10-7; Finnish-ancestry Epi25: P = 3.11×10-4; UK Biobank and Vanderbilt biorepository meta-analysis: P = 7.99×10-4). FE-PRS were significantly higher in patients with focal epilepsy compared to controls in the non-Finnish, non-biobank cohorts (Epi25: P = 5.74×10-19; Cleveland: P = 1.69×10-6). European ancestry-derived PRS did not predict generalized epilepsy or focal epilepsy in Japanese-ancestry individuals. Finally, we observed a significant 4.6-fold and a 4.5-fold enrichment of patients with generalized epilepsy compared to controls in the top 0.5% highest GE-PRS of the two non-Finnish European cohorts (Epi25: P = 2.60×10-15; Cleveland: P = 1.39×10-2). We conclude that common variant risk associated with epilepsy is significantly enriched in multiple cohorts of patients with epilepsy compared to controls-in particular for generalized epilepsy. As sample sizes and PRS accuracy continue to increase with further common variant discovery, PRS could complement established clinical biomarkers and augment genetic testing for patient classification, comorbidity research, and potentially targeted treatment. [ABSTRACT FROM AUTHOR]

• The International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) produced largely stable frontal lobe epilepsy (FLE) phenotypes across centers. • Patients with FLE reported language predominant cognitive impairment. • FLE resulted in more severe cognitive impairment compared with temporal lobe epilepsy. 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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

• We studied self-reported and parent-described memory of children with epilepsy. • Child and parent reports of subjective memory related to each other at baseline. • Only parent perceptions correlated with baseline neuropsychological tests. • Children, but not parents, accurately recognized memory change across time. • Both child and parent perceptions are important for evaluating epilepsy outcomes. This study compared the self-reported and parent-reported memory of children with epilepsy across time and explored the relationships between these measures of subjective memory and the children's actual performance on objective neuropsychological tests. One-hundred and nineteen children with epilepsy who were surgical candidates underwent comprehensive neuropsychological testing that included the Everyday Verbal Memory Questionnaire (EVMQ). Each child's parent and 82 of the children themselves completed the appropriate version of this subjective memory measure. After 9 months, the children returned for a second neuropsychological evaluation with 71 parents and 39 children completing the same questionnaire. Approximately one-third of the children in the study underwent surgery between the two evaluations. Standardized regression-based norms were used to quantify change in cognitive abilities across assessments. Results revealed significant relationships between parent reports and child reports of the children's memory abilities. Parent reports, but not child reports, correlated with the children's objective test scores at baseline. In contrast, children were more attuned to changes in their memory across time. These findings demonstrate the importance of considering both parent and child perceptions of everyday cognitive functioning when evaluating cognition and cognitive changes over time in pediatric patients with epilepsy. [ABSTRACT FROM AUTHOR]

To characterize outcomes following pediatric epilepsy surgery across a broad range of cognitive domains using empirical methods (i.e., reliable change indices: RCIs), compare these outcomes with those based on traditional methods (i.e., standard deviation: SD), and identify factors associated with postoperative cognitive declines and/or improvements. This retrospective cohort study included 186 children who underwent surgical resection for treatment of pharmacoresistant epilepsy and who completed pre- and postoperative neuropsychological assessments. Postoperative testing occurred approximately 6.5 months after surgery and included measures of intelligence, attention/working memory, processing speed, language, executive functioning, visuospatial skills, memory, and academic achievement. Change scores for each patient were classified as decline, no change, or improvement using epilepsy-specific RCIs. Chi-square goodness of fit tests were used to compare the distribution of outcomes as classified with RCIs to those obtained using a traditional one SD cutoff. Multinomial regression analyses were conducted to identify factors associated with cognitive decline and/or improvement. While 18% of children demonstrated no postoperative declines or improvements in any cognitive domain, the majority demonstrated relatively focal changes (declines and/or improvements in 1–2 cognitive domains). Rates of postoperative decline and improvement across individual cognitive domains were variable and ranged from 4‐35% and 2–31%, respectively. Compared to RCIs, SD methodology often overestimated postoperative improvements and varied with respect to declines. Factors associated with RCI decline or improvement included preoperative performance, age at surgery, surgery site, and postoperative seizures. Results suggest substantial variability in individual cognitive outcomes approximately 6.5 months following pediatric epilepsy surgery. The differences in change distributions obtained using epilepsy-specific RCIs versus SDs highlight the need for studies using empiric methodology to study postoperative cognitive change. Variables associated with postoperative cognitive change may be used to develop multivariable prediction models in future studies to aid clinical decision-making and patient counseling. • Rates of cognitive change ~6.5 months after pediatric epilepsy surgery vary by domain. • Change defined using reliable change indices differs from standard deviations. • 18% of children showed no postoperative change in any cognitive domain. • Majority of children showed focal declines and/or improvements in 1–2 domains. • Several clinical variables were associated with postoperative cognitive change. [ABSTRACT FROM AUTHOR]

• Based on epilepsy-specific RCIs, 15% of patients showed stable cognitive performance. • Cognitive improvement occurred most frequently in visuospatial skills and processing speed. • Cognitive decline occurred most frequently in visuospatial skills and executive function. • Age and baseline cognitive performance were associated with cognitive change in many domains. To use reliable change indices (RCIs) developed specifically for pediatric patients with epilepsy to examine cognitive outcomes after frontal lobe resection for pharmacoresistant epilepsy. Forty-one pediatric patients (25 male, M age = 10 years) completed comprehensive neuropsychological evaluations before and an average of 6.5 months after frontal lobe resections for treatment of epilepsy. Evaluations included tests of intelligence, attention/working memory, processing speed, language, visuospatial skills, executive function, and episodic memory. Practice effect-adjusted RCIs were used to determine clinically significant postoperative cognitive change. Demographic, disease, and surgical variables were examined to identify factors associated with postoperative cognitive decline or improvement. Within each cognitive domain, there was a large proportion of patients (51–84%) who did not exhibit significant cognitive change. In terms of overall cognitive profile, 44% demonstrated improvement in at least one domain and 69% declined in at least one domain. Postoperative cognitive improvement occurred most commonly in the domain of processing speed, whereas postoperative cognitive decline occurred most frequently in the domain of visuospatial skills. Younger age at surgery was associated with cognitive improvement. Older age at seizure onset and higher baseline cognitive performance were associated with cognitive decline. Approximately 6.5 months after frontal lobe resection, only 15% of our sample showed stable performance across all cognitive domains. Seventeen percent of patients showed improvements without declines, 42% showed declines without improvements, and 27% showed a mix of improvements and declines across different cognitive domains. Age and baseline abilities were associated with postoperative cognitive change on multiple measures. With 1 in 8 children demonstrating postoperative decline across three or more domains, further research is needed to identify factors associated with cognitive decline in order to inform clinical decision-making and patient/family counseling. [ABSTRACT FROM AUTHOR]

• Patients with TLE with the COMT Val allele have poorer semantic verbal fluency and response inhibition. • Patients with TLE with the BDNF Met allele perform more poorly on a verbal fluency measure. • APOE ε4 status alone was not a significant predictor of performance on EF tests. • Genetic factors contribute to executive function deficits in people with epilepsy. To explore the role of several genetic polymorphisms (APOE ε4, BDNF Met, and COMT Val) in executive functioning performance in patients with pharmacoresistant temporal lobe epilepsy (TLE). Ninety-three adults (51 female, mean age = 39 years) with TLE completed executive functioning measures as part of a comprehensive preoperative neuropsychological evaluation, including Trail Making Test (Part B), Wisconsin Card Sorting Test (Conceptual Level Responses and Perseverative Errors), Color Word Interference from the Delis Kaplan Executive Function System, and measures of phonemic and semantic verbal fluency. Genotyping of the APOE , BDNF , and COMT genes was conducted using DNA extracted from peripheral blood or brain tissue (from epilepsy surgery). After adjustment for general cognitive ability, COMT Val carriers showed poorer performance on semantic verbal fluency and color word interference than non-carriers, and BDNF Met carriers showed poorer performance on phonemic verbal fluency than those without a Met allele. Results suggest that COMT and BDNF polymorphisms are associated with performance on several EF measures in patients with TLE, including tasks assessing verbal fluency and response inhibition and account for up to 16% of the variance in test performance. The APOE polymorphism was not significantly associated with any of the executive function measures analyzed. [ABSTRACT FROM AUTHOR]

Numerous studies have shown that surgical resection of the left anterior temporal lobe (ATL) is associated with a decline in object naming ability (Hermann et al., 1999). In contrast, few studies have examined the effects of left ATL surgery on auditory description naming (ADN) or category-specific naming. Compared with object naming, which loads heavily on visual recognition processes, ADN provides a more specific measure of concept retrieval. The present study examined ADN declines in a large group of patients who were tested before and after left ATL surgery, using a 2 × 2 × 2 factorial manipulation of uniqueness (common vs. proper nouns), taxonomic category (living vs. nonliving things), and time (pre- vs. postsurgery). Significant declines occurred across all categories but were substantially larger for proper living (PL) concepts, i.e., famous individuals. The disproportionate decline in PL noun naming relative to other conditions is consistent with the notion that the left ATL is specialized not only for retrieval of unique entity concepts, but also plays a role in processing social concepts and person-specific features. • Auditory description naming provides a more specific measure of concept retrieval. • Naming of proper living concepts declines disproportionately after left anterior temporal lobe resection. • The left anterior temporal lobe seems to play a role in processing social concepts and person specific features. [ABSTRACT FROM AUTHOR]

Social attention is a key aspect of neurodevelopment and is significantly altered in neurodevelopmental genetic syndromes and many individuals with idiopathic autism spectrum disorder (ASD). The primary aim of the present study was to examine the psychometric properties of webcam-collected social attention measurements, including four new specific aspects of social attention, in three genetic syndromes (PTEN Hamartoma Tumor Syndrome-PHTS; Malan Syndrome-NFIX; and SYNGAP1-related disorder-SYNGAP1), a mixed group of other neurodevelopmental genetic syndromes (Other NDGS), and individuals with a range of idiopathic neurodevelopmental disorder (NDD). The secondary aim was to evaluate the construct validity of these social attention measurements, including evaluating known-groups validity across study groups and concurrent validity for separating ASD and non-ASD cases. Participants (N = 467, age 3-45; PHTS n = 102, NFIX n = 23, SYNGAP1 n = 42, other NDGS n = 63, idiopathic NDD n = 53, neurotypical siblings n = 71, and unrelated neurotypical controls n = 113) completed a 4-min online-administered social attention paradigm that includes a variety of distinct stimuli at three timepoints (baseline, 1-month, and 4-month follow-up). Social attention measures had good scale and test-retest reliability, with the exception of measures of non-social preference and face-specific processing. Unique patterns of social attention emerged across study groups, with near neurotypical levels in PHTS and weaker social attention in NFIX and SYNGAP1 relative to controls. Global social attention had good accuracy in detecting ASD within NDGS participants. Remote monitoring social attention, including distinct aspects of social attention, may be useful for characterizing phenotypic profiles and tracking the natural history of distinct NDGS and idiopathic NDD as well as identifying ASD within NDGS. Given their reproducibility and stability, global social attention and several distinct social attention measures may be useful outcomes for future clinical trials., (© 2024 The Author(s). Autism Research published by International Society for Autism Research and Wiley Periodicals LLC.)

Objective: This study aimed to externally validate the Memory Assessment Clinics Scale for Epilepsy (MAC-E), a brief self-report measure of subjective memory complaints in adults with epilepsy., Methods: A cross-sectional study was conducted including adults with focal pharmacoresistant epilepsy from three Level 4 epilepsy centers in the U.S., who completed the MAC-E as part of a clinical neuropsychological evaluation. Confirmatory factor analysis was conducted, and goodness-of-fit criteria were calculated to assess model fit: comparative fit index (CFI), root mean square error of approximation (RMSEA), and standardized root mean residual (SRMR). Item response theory models were constructed, and Mokken analysis was used to assess discrimination and unidimensionality. Internal consistency was evaluated with McDonald's Omega., Results: There were 191 patients included in the study (mean age = 41 ± 14, 51 % female, 87 % white race). Confirmatory factor analysis supported the 5-factor structure of the MAC-E identified in prior research (CFI = 0.989, RMSEA = 0.056, SRMR = 0.069) with high standardized loadings and R 2 values for each of the 5 factors (0.58-0.91 and 0.34-0.82, respectively). MAC-E items demonstrated high levels of discrimination as well as the ability to evaluate across the entirety of each latent trait. Score responses were uniformly distributed across latent traits, and unidimensionality was established by factor (all H coefficients > 0.4). Internal consistency was high across factors (omega range: 0.77-0.88)., Conclusions: Results of this study demonstrate good external validation of the MAC-E in an independent, multicenter cohort of adults with epilepsy. These findings provide further support that the MAC-E is a psychometrically valid, self-report instrument to assess every-day memory abilities in adults with epilepsy in both clinical and research settings., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Lesional focal epilepsy (LFE) is a common and severe seizure disorder caused by epileptogenic lesions, including malformations of cortical development (MCD) and low-grade epilepsy-associated tumors (LEAT). Understanding the genetic etiology of these lesions can inform medical and surgical treatment. We conducted a somatic variant enrichment mega-analysis in brain tissue from 1386 individuals who underwent epilepsy surgery, including 599 previously unpublished individuals with ultra-deep ( > 1600x) targeted panel sequencing. Here we confirm four known associations (BRAF, SLC35A2, MTOR, PTPN11), support eight associations without prior statistical support (FGFR1, PIK3CA, AKT3, NF1, PTEN, RHEB, KRAS, NRAS), and identify novel associations for two genes, DYRK1A and EGFR. Both novel genes show specific histopathological phenotypes, interact with LFE genes and pathways, and may represent promising candidates as biomarkers and potentially druggable targets., Competing Interests: Competing interests: The authors declare no competing interests., (© 2024. The Author(s).)

Aim: To examine neurobehavioral findings in three genetic syndromes (PTEN hamartoma tumor syndrome, Malan syndrome [mutations in the NFIX gene], and SYNGAP1-related disorder), a mixed group of other neurodevelopmental genetic syndromes (NDGS), idiopathic neurodevelopmental disorder, and neurotypical control participants., Method: Using a longitudinal case-control design, caregivers reported neurobehavioral information for 498 participants (PTEN hamartoma tumor syndrome n = 112, Malan syndrome n = 24, SYNGAP1-related disorder n = 47, other NDGS n = 72, idiopathic neurodevelopmental disorder n = 54, neurotypical siblings n = 74, and unrelated neurotypical control participants n = 115) at three timepoints (baseline, and 1-month and 4-month follow-ups) using the online-administered Neurobehavioral Evaluation Tool (NET)., Results: NET scales had good scale and test-retest reliability. Unique patterns of neurobehavioral findings emerged, with SYNGAP1-related disorder and Malan syndrome showing generally more severe symptom and skill patterns than for other groups of patients. Patterns could be partly accounted for by estimated cognitive level, speech level, and the presence of autism spectrum disorder. However, even when accounting for these factors, group differences remained. Reliable change indices are reported., Interpretation: Genetic syndromes associated with neurodevelopmental disorders present with unique neurobehavioral profiles that can inform selection of outcome measures in future clinical trials. The NET may be a useful screening and monitoring instrument in clinical practice, where frequent in-person clinic attendance is difficult for many patients., (© 2024 The Author(s). Developmental Medicine & Child Neurology published by John Wiley & Sons Ltd on behalf of Mac Keith Press.)

To present the background, rationale, details pertaining to use and essential computational steps, synopsis of findings to date, and future directions for the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE)-an initiative of the ILAE Neuropsychology Task Force. Examined are: (a) the 6 steps leading to the derivation of a cognitive phenotype from neuropsychological test data with an accompanying case example, (b) concise review of all IC-CoDE research to date, (c) summary of identified correlates of IC-CoDE outcomes, and (d) future research and clinical directions for the initiative. The IC-CoDE is computationally uncomplicated with individual or group data and represents a novel approach leading to new insights in the neuropsychology of epilepsy, with applications to diverse datasets internationally informing the reliability and validity of the approach. The IC-CoDE represents a novel approach to the analysis and interpretation of neuropsychological data in epilepsy that offers to advance a global taxonomy of cognitive disorders in epilepsy facilitating international collaboration and big data science., (© 2024 The Author(s). Epileptic Disorders published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.)

Identifying genetic risk factors for highly heterogeneous disorders like epilepsy remains challenging. Here, we present the largest whole-exome sequencing study of epilepsy to date, with >54,000 human exomes, comprising 20,979 deeply phenotyped patients from multiple genetic ancestry groups with diverse epilepsy subtypes and 33,444 controls, to investigate rare variants that confer disease risk. These analyses implicate seven individual genes, three gene sets, and four copy number variants at exome-wide significance. Genes encoding ion channels show strong association with multiple epilepsy subtypes, including epileptic encephalopathies, generalized and focal epilepsies, while most other gene discoveries are subtype-specific, highlighting distinct genetic contributions to different epilepsies. Combining results from rare single nucleotide/short indel-, copy number-, and common variants, we offer an expanded view of the genetic architecture of epilepsy, with growing evidence of convergence among different genetic risk loci on the same genes. Top candidate genes are enriched for roles in synaptic transmission and neuronal excitability, particularly postnatally and in the neocortex. We also identify shared rare variant risk between epilepsy and other neurodevelopmental disorders. Our data can be accessed via an interactive browser, hopefully facilitating diagnostic efforts and accelerating the development of follow-up studies., Competing Interests: Competing Interests B.M.N is a member of the scientific advisory board at Deep Genomics and Neumora. No other authors have competing interests to declare

Objective: This study evaluated the diagnostic performance of a widely available cognitive screener, the Montreal cognitive assessment (MoCA), to detect cognitive impairment in older patients (age ≥ 55) with epilepsy residing in the US, using the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) as the gold standard., Methods: Fifty older adults with focal epilepsy completed the MoCA and neuropsychological measures of memory, language, executive function, and processing speed/attention. The IC-CoDE taxonomy divided participants into IC-CoDE Impaired and Intact groups. Sensitivity and specificity across several MoCA cutoffs were examined. Spearman correlations examined relationships between the MoCA total score and clinical and demographic variables and MoCA domain scores and individual neuropsychological tests., Results: IC-CoDE impaired patients demonstrated significantly lower scores on the MoCA total, visuospatial/executive, naming, language, delayed recall, and orientation domain scores (Cohen's d range: 0.336-2.77). The recommended MoCA cutoff score < 26 had an overall accuracy of 72%, 88.2% sensitivity, and 63.6% specificity. A MoCA cutoff score < 24 yielded optimal sensitivity (70.6%) and specificity (78.8%), with overall accuracy of 76%. Higher MoCA total scores were associated with greater years of education (p = 0.016) and fewer antiseizure medications (p = 0.049). The MoCA memory domain was associated with several standardized measures of memory, MoCA language domain with category fluency, and MoCA abstraction domain with letter fluency., Significance: This study provides initial validation of the MoCA as a useful screening tool for older adults with epilepsy that can be used to identify patients who may benefit from comprehensive neuropsychological testing. Further, we demonstrate that a lower cutoff (i.e., <24) better captures cognitive impairment in older adults with epilepsy than the generally recommended cutoff and provides evidence for construct overlap between MoCA domains and standard neuropsychological tests. Critically, similar efforts in other regions of the world are needed., Plain Language Summary: The Montreal cognitive assessment (MoCA) can be a helpful tool to screen for cognitive impairment in older adults with epilepsy. We recommend that adults 55 or older with epilepsy who score less than 24 on the MoCA are referred to a neuropsychologist for a comprehensive evaluation to assess any changes in cognitive abilities and mood., (© 2024 The Author(s). Epilepsia Open published by Wiley Periodicals LLC on behalf of International League Against Epilepsy.)

Introduction: Given the prevalence and staggering cost of neurological disorders, there is dire need for effective early detection and intervention tools. Emerging evidence suggests that multidisciplinary lifestyle interventions (MLI) may mitigate the risk and progression of neurological disorders. The objectives of this protocol are (1) to test the impact of MLI on the progression of neurological disorders and (2) to identify multi-omic biomarkers for early stages of neurological disease and the impact of MLIs on these biomarkers., Methods and Analysis: We present the Multidisciplinary lifestyle Interventions for Neurological Disorders during the Silent phase (MINDS) protocol, a randomized controlled trial of MLI in neurologically healthy older adults (≥ 50 years old) exhibiting elevated risk for common neurological disorders: stroke, epilepsy, Parkinson's Disease, or Alzheimer's disease and related dementias. Participants will be randomly assigned to intervention (n = 100) or control (n = 100) groups. The intervention group will receive 3 months of weekly 2-hour sessions on diet education, yoga, music therapy, and cognitive skills training. The participants' neurological health and engagement in relevant lifestyle practices will be assessed at regular intervals for 12 months. Neuroimaging and samples for multi-omic analyses will be collected at baseline, and at 3 months and 12 months after enrollment. Primary outcomes will be signs of progression of the neurological disorder risk that qualified them for study enrollment or a clinical diagnosis of the disorder. Secondary and exploratory outcomes will be based on self-reported health and multi-omic data. Data analysis will include between-group and longitudinal within-group analyses., Perspectives: The MINDS protocol and trial aims to clarify the impact of MLI on the progression of neurological disorder risk or diagnosis in older adults and to identify biomarkers that can be used to confirm MLI efficacy. The ability to validate the impact of MLI on neurological disorder progression based on biomarker data allows the identification of individuals most likely to benefit from such therapies in the early stages of neurological disease., Trial Registration: The trial is registered on the National Institutes of Health (NIH) ClinicalTrials.gov (NCT05984056) site. It was registered on August 2nd, 2023. The trial has full approval of the Cleveland Clinic Internal Review Board., (© 2024. The Author(s).)

Objective: Cognitive impairment is now recognized as an impending public health crisis. About one-third of adults are concerned about their cognition, and the prevalence of objective cognitive impairment is much higher among those with neurological disorders. Existing screening tools are narrowly focused on detecting dementia in older adults and must be clinician-administered and scored, making them impractical for many neurology practices. This study examined the utility of a brief, self-administered, computerized cognitive screening tool, the Brief Assessment of Cognitive Health (BACH), in identifying cognitive impairment in adults., Methods: 912 adults (ages 18-84) completed BACH and a neuropsychological battery. Multivariable models were developed to provide a BACH index score reflecting the probability of cognitive impairment for individual patients. Predictive accuracy was compared to that of the Montreal Cognitive Assessment (MoCA) in a subset of 160 older adults from a Memory Disorders clinic., Results: The final multivariable model showed good accuracy in identifying cognitively impaired individuals (c = 0·77). Compared to MoCA, BACH had superior predictive accuracy in identifying older patients with cognitive impairment (c = 0·79 vs. 0·67) as well as differentiating those with MCI or dementia from those without cognitive impairment (c = 0·86 vs. c = 0·67)., Conclusions: Results suggest that cognitive impairment can be identified in adults using a brief, self-administered, automated cognitive screening tool, and BACH provides several advantages over existing screeners: self-administered; automatic scoring; immediate results in health record; easily interpretable score; utility in wide range of patients; and flags for treatable factors that may contribute to cognitive complaints (i.e., depression, sleep problems, and stress)., (© 2024. The Author(s).)

Background: Current guidelines recommend that individuals with MS are screened annually for processing speed deficits, often using the Symbol Digit Modalities Test (SDMT). However, given the heterogeneity of cognitive deficits in individuals with MS, other screening measures that assess a range of cognitive domains are necessary. The current cross-sectional study aimed to examine the ability of the computerized, self-administered Brief Assessment of Cognitive Health (BACH) screening measure to detect the presence of cognitive impairment in adults with MS as determined by performance on a standard neuropsychological test battery., Methods: Seventy-two individuals with MS completed the BACH and a comprehensive neuropsychological test battery. Receiver operating characteristic (ROC) analyses were conducted to investigate the ability of the BACH to identify cognitively impaired and cognitively intact individuals. ROC analyses were also conducted to compare the ability of the SDMT to discriminate between cognitively intact and cognitively impaired groups as a comparison with the BACH., Results: Cognitive impairment was observed in 56 % of the sample. The BACH showed acceptable ability to discriminate between cognitively intact and cognitively impaired groups (AUC = 0.78). Additionally, the BACH was able to adequately predict cognitive impairment in domains other than processing speed (AUC = 0.71). The SDMT also demonstrated adequate utility in identifying individuals with cognitive impairment (AUC = 0.73); however, the SDMT was not able to adequately predict cognitive impairment in domains other than processing speed (AUC = 0.56)., Conclusion: The BACH showed adequate ability to detect cognitive impairment in individuals with MS. The BACH was able to identify impairments across various assessed cognitive domains, including individuals with and without processing speed deficits., Competing Interests: Declaration of competing interest Drs. Floden and Busch would like to disclose the potential for future distributions from Ceraxis Health, Inc. as inventors., (Copyright © 2023. Published by Elsevier B.V.)

This study focused on the development and initial psychometric evaluation of a set of online, webcam-collected, and artificial intelligence-derived patient performance measures for neurodevelopmental genetic syndromes (NDGS). Initial testing and qualitative input was used to develop four stimulus paradigms capturing social and cognitive processes, including social attention, receptive vocabulary, processing speed, and single-word reading. The paradigms were administered to a sample of 375 participants, including 163 with NDGS, 56 with idiopathic neurodevelopmental disability (NDD), and 156 neurotypical controls. Twelve measures were created from the four stimulus paradigms. Valid completion rates varied from 87 to 100% across measures, with lower but adequate completion rates in participants with intellectual disability. Adequate to excellent internal consistency reliability (α = 0.67 to 0.95) was observed across measures. Test-retest reproducibility at 1-month follow-up and stability at 4-month follow-up was fair to good (r = 0.40-0.73) for 8 of the 12 measures. All gaze-based measures showed evidence of convergent and discriminant validity with parent-report measures of other cognitive and behavioral constructs. Comparisons across NDGS groups revealed distinct patterns of social and cognitive functioning, including people with PTEN mutations showing a less impaired overall pattern and people with SYNGAP1 mutations showing more attentional, processing speed, and social processing difficulties relative to people with NFIX mutations. Webcam-collected performance measures appear to be a reliable and potentially useful method for objective characterization and monitoring of social and cognitive processes in NDGS and idiopathic NDD. Additional validation work, including more detailed convergent and discriminant validity analyses and examination of sensitivity to change, is needed to replicate and extend these observations., (© 2023 The Authors. American Journal of Medical Genetics Part C: Seminars in Medical Genetics published by Wiley Periodicals LLC.)

Background and Objectives: A new frontier in diagnostic radiology is the inclusion of machine-assisted support tools that facilitate the identification of subtle lesions often not visible to the human eye. Structural neuroimaging plays an essential role in the identification of lesions in patients with epilepsy, which often coincide with the seizure focus. In this study, we explored the potential for a convolutional neural network (CNN) to determine lateralization of seizure onset in patients with epilepsy using T1-weighted structural MRI scans as input., Methods: Using a dataset of 359 patients with temporal lobe epilepsy (TLE) from 7 surgical centers, we tested whether a CNN based on T1-weighted images could classify seizure laterality concordant with clinical team consensus. This CNN was compared with a randomized model (comparison with chance) and a hippocampal volume logistic regression (comparison with current clinically available measures). Furthermore, we leveraged a CNN feature visualization technique to identify regions used to classify patients., Results: Across 100 runs, the CNN model was concordant with clinician lateralization on average 78% (SD = 5.1%) of runs with the best-performing model achieving 89% concordance. The CNN outperformed the randomized model (average concordance of 51.7%) on 100% of runs with an average improvement of 26.2% and outperformed the hippocampal volume model (average concordance of 71.7%) on 85% of runs with an average improvement of 6.25%. Feature visualization maps revealed that in addition to the medial temporal lobe, regions in the lateral temporal lobe, cingulate, and precentral gyrus aided in classification., Discussion: These extratemporal lobe features underscore the importance of whole-brain models to highlight areas worthy of clinician scrutiny during temporal lobe epilepsy lateralization. This proof-of-concept study illustrates that a CNN applied to structural MRI data can visually aid clinician-led localization of epileptogenic zone and identify extrahippocampal regions that may require additional radiologic attention., Classification of Evidence: This study provides Class II evidence that in patients with drug-resistant unilateral temporal lobe epilepsy, a convolutional neural network algorithm derived from T1-weighted MRI can correctly classify seizure laterality., (© 2023 American Academy of Neurology.)

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., (© 2023 American Academy of Neurology.)

Understanding the exact molecular mechanisms involved in the aetiology of epileptogenic pathologies with or without tumour activity is essential for improving treatment of drug-resistant focal epilepsy. Here, we characterize the landscape of somatic genetic variants in resected brain specimens from 474 individuals with drug-resistant focal epilepsy using deep whole-exome sequencing (>350×) and whole-genome genotyping. Across the exome, we observe a greater number of somatic single-nucleotide variants in low-grade epilepsy-associated tumours (7.92 ± 5.65 single-nucleotide variants) than in brain tissue from malformations of cortical development (6.11 ± 4 single-nucleotide variants) or hippocampal sclerosis (5.1 ± 3.04 single-nucleotide variants). Tumour tissues also had the largest number of likely pathogenic variant carrying cells. low-grade epilepsy-associated tumours had the highest proportion of samples with one or more somatic copy-number variants (24.7%), followed by malformations of cortical development (5.4%) and hippocampal sclerosis (4.1%). Recurring somatic whole chromosome duplications affecting Chromosome 7 (16.8%), chromosome 5 (10.9%), and chromosome 20 (9.9%) were observed among low-grade epilepsy-associated tumours. For germline variant-associated malformations of cortical development genes such as TSC2, DEPDC5 and PTEN, germline single-nucleotide variants were frequently identified within large loss of heterozygosity regions, supporting the recently proposed 'second hit' disease mechanism in these genes. We detect somatic variants in 12 established lesional epilepsy genes and demonstrate exome-wide statistical support for three of these in the aetiology of low-grade epilepsy-associated tumours (e.g. BRAF) and malformations of cortical development (e.g. SLC35A2 and MTOR). We also identify novel significant associations for PTPN11 with low-grade epilepsy-associated tumours and NRAS Q61 mutated protein with a complex malformation of cortical development characterized by polymicrogyria and nodular heterotopia. The variants identified in NRAS are known from cancer studies to lead to hyperactivation of NRAS, which can be targeted pharmacologically. We identify large recurrent 1q21-q44 duplication including AKT3 in association with focal cortical dysplasia type 2a with hyaline astrocytic inclusions, another rare and possibly under-recognized brain lesion. The clinical-genetic analyses showed that the numbers of somatic single-nucleotide variant across the exome and the fraction of affected cells were positively correlated with the age at seizure onset and surgery in individuals with low-grade epilepsy-associated tumours. In summary, our comprehensive genetic screen sheds light on the genome-scale landscape of genetic variants in epileptic brain lesions, informs the design of gene panels for clinical diagnostic screening and guides future directions for clinical implementation of epilepsy surgery genetics., (© The Author(s) 2022. Published by Oxford University Press on behalf of the Guarantors of Brain.)

[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).

Background: Individuals with PTEN hamartoma tumor syndrome (PHTS) demonstrate a distinct neurobehavioral profile suggesting primary disruption of frontal lobe symptoms, with more severe cognitive deficits in those with associated autism spectrum disorder (ASD) that extend to other areas of neurobehavioral function as well (e.g., adaptive behavior, sensory deficits). The current study sought to characterize longitudinal neurobehavioral profiles in individuals with PHTS who completed serial assessments (2-3 evaluations) over a 2-year time period., Methods: Comprehensive neurobehavioral evaluations were conducted on 92 participants (age range 6-21) with PHTS and/or ASD. Spaghetti plots and linear mixed effects models were used to visualize the individual patient profiles and group trends and examine the group differences in cognitive/behavioral test scores over time. Practice-adjusted reliable change indices (RCIs) and standardized regression-based change scores (SRBs) were calculated for those measures in the battery with adequate sample sizes and test-retest reliabilities for future use in assessing neurobehavioral change in children and young adults with PHTS., Results: Wide individual differences were observed at baseline across all measures. Encouragingly, baseline differences between patient groups persisted at the same magnitude over a 2-year time period with no differences in longitudinal neurobehavioral profiles within any one group. Test-retest reliabilities were generally high, ranging from 0.62 to 0.97, and group mean change from baseline to 12 months was small (range - 3.8 to 3.7). A Microsoft Excel calculator was created that clinicians and researchers can use to automatically calculate RCI and SRB thresholds at both 80% and 90% confidence intervals using test scores from a given child or young adult with PHTS., Conclusions: Our results suggest that the neurobehavioral phenotypes observed in individuals with PHTS remain relatively stable over time, even in those with ASD. The RCIs and SRBs provided can be used in future research to examine patient outcomes at the individual level as well as to detect negative deviations from the expected trajectory that can be used to inform intervention strategies., (© 2022. The Author(s).)

Memory dysfunction is prevalent in temporal lobe epilepsy (TLE), but little is known about the underlying molecular etiologies. Single-nucleus RNA sequencing technology was used to examine differences in cellular heterogeneity among left (language-dominant) temporal neocortical tissues from patients with TLE with (n = 4) or without (n = 2) impairment in verbal episodic memory. We observed marked cell heterogeneity between memory phenotypes and identified numerous differentially expressed genes across all brain cell types. The most notable differences were observed in glutamatergic (excitatory) and GABAergic (inhibitory) neurons with an overrepresentation of genes associated with long-term potentiation, long-term depression, and MAPK signaling, processes known to be essential for episodic memory formation., (© 2022. The Author(s).)

This randomized, double-blind controlled trial of everolimus in individuals with germline phosphatase and tensin homolog mutations ( PTEN ) was designed to evaluate the safety of everolimus compared with placebo and to evaluate the efficacy of everolimus on neurocognition and behavior compared to placebo as measured by standardized neurocognitive and motor measures as well as behavioral questionnaires. The safety profile of everolimus is characterized by manageable adverse events that are generally reversible and non-cumulative. The primary safety endpoint of this study was drop-out rate due to side effects, comparing everolimus versus placebo. We also sought to determine the frequency of adverse events by type and severity. The main efficacy endpoint was a neurocognitive composite computed in two ways: 1) an average for working memory, processing speed, and fine motor subtests; and 2) the same average as above except weighted 2/3, and an additional average based on all other available neurocognitive testing measures assessing the additional domains of nonverbal ability, visuomotor skills, verbal learning, and receptive and expressive language, weighted 1/3. Secondary efficacy endpoints examined the effect of everolimus on overall global clinical improvement, autism symptoms, behavioral problems, and adaptive abilities as measured by validated, standardized instruments. We predicted that the rate of adverse events would be no more than 10% higher in the everolimus group compared to placebo, and overall severity of side effects would be minimal. We also expected that individuals receiving everolimus would show more improvement, relative to those taking placebo, on the composite neurocognitive index., Competing Interests: Authors declare no conflict of interest., (© 2021 The Author(s).)

Pharmacoresistance is a major clinical challenge for approximately 30% of patients with epilepsy. Previous studies indicate nuclear receptors (NRs), drug efflux transporters, and cytochrome P450 enzymes (CYPs) control drug passage across the blood-brain barrier (BBB) in drug-resistant epilepsy. Here, we (1) evaluate BBB changes, neurovascular nuclear receptors, and drug transporters in lesional/epileptic (EPI) and non-lesional/non-epileptic (NON-EPI) regions of the same brain, (2) examine regional CYP expression and activity, and (3) investigate the association among CYP brain expression, seizure frequency, duration of epilepsy, and antiepileptic drug (AED) combination. We used surgically resected brain specimens from patients with medically intractable epilepsy (n = 22) where the epileptogenic loci were well-characterized by invasive and non-invasive methods; histology confirmed distinction of small NON-EPI regions from EPI tissues. NRs, transporters, CYPs, and tight-junction proteins were assessed by western blots/immunohistochemistry, and CYP metabolic activity was determined and compared. The relationship of CYP expression with seizure frequency, duration of epilepsy, and prescribed AEDs was evaluated. Decreased BBB tight-junction proteins accompanied IgG leakage in EPI regions and correlated with upregulated NR and efflux transporter levels. CYP expression and activity significantly increased in EPI compared to NON-EPI tissues. Change in EPI and NON-EPI CYP3A4 expression increased in patients taking AEDs that were CYP substrates, was downregulated when CYP- and non-CYP-substrate AEDs were given together, and correlated with seizure frequency. Our studies suggest focal neurovascular CYP-NR-transporter alterations, as demonstrated by the relationship of seizure frequency and AED combination to brain CYP3A4, might together impact biotransformation machinery of human pharmacoresistant epilepsy.

The Corsi Block-Tapping (CB) task has been used as a measure of spatial memory since its development in 1971. However, a standard set of items has been developed for this task, and inconsistencies in performances within levels have been demonstrated in association with different path configuration. This study investigated item consistency by analyzing the performances of 94 young adult participants on a block-tapping task that involved five quasi-randomly determined sequences at each of nice levels of difficulty. In general, performance declined with increasing path length. Cochran Q-test comparisons were conducted on the items within each level, and differential performance were identified at levels 7 and 8 only. Pairwise comparisons determined the specific items for which performance was discrepant, and further analysis indicated that performance decrement were related to more complicated block-tapping paths. The findings suggest that this version of the CB task is relatively consistent overall, and the observed effect of path configuration indirectly corroborated the spatial nature of this task. Performance heterogeneity at higher levels reflected more complicated path configuration and, presumably, greater span capacity load. Differential intra-level item consistency should be considered in clinical applications of spatial (configural) memory tasks in order to avoid erroneous interpretations concerning sustained attention ability based on failures within levels.