Executive Function Abilities Research Articles

The role of executive function abilities in interleaved vs. blocked learning of science concepts.

This study investigated the relative efficacy of interleaved versus blocked instruction and the role of executive function in governing learning from these instructional sequences. Eighth grade students learned about three rock concepts (igneous, sedimentary, metamorphic) and their attributes (origin, texture, composition). Consistent with prior studies and as predicted by current theoretical accounts, students who received interleaved instruction showed better memory (i.e., accuracy on true-false questions) when tested 2 weeks later, whereas those who received blocked instruction showed better memory when tested on the same day as instruction. Also consistent with prior studies and theoretical accounts, the blocked group showed greater transfer when tested after a retention interval, although this advantage was not significant. Critically, and as predicted, the shifting and inhibition executive function abilities were more predictive of learning from interleaved vs. blocked instruction. These findings lay the groundwork for future studies investigating the role of executive function in learning from different forms of instruction.

66 Association of Executive Functions and Instrumental Activities of Daily Living in Parkinson’s Disease

Objective:Executive function (EF) abilities tend to decline with age, and disproportionately so for people with neurodegenerative disorders such as Parkinson’s Disease (PD), where EF deficits are commonly seen in the early stages of the disease. Due to their nature, EF are essential for performing tasks of daily life, particularly for the more complex instrumental activities of daily living (IADL), and deficits can impair the ability to execute IADL in PD participants. The aim of this study was to examine how EF impairments relate to IADL deficits in both healthy elderly controls and PD participants.Participants and Methods:Seventy-four participants with idiopathic PD and 66 elderly controls were recruited. All participants were non-demented. A comprehensive neuropsychological assessment was administered including the following measures of EF: Hayling Sentence Completion, Brixton Spatial Anticipation, Trail Making Test A and B, Stroop Color-Word Test, Symbol Span (Wechsler Memory Scale-III), Digit Span (Wechsler Adult Intelligence Scale-III), F-A-S test, and Semantic Fluency (Animals and Actions). Z scores were calculated from respective test manuals. Independence was measured using the 8-item Lawton IADL Scale where items are coded from 0 (dependent) to 1 (independent) and the total score ranges from 0 to 8. Motor impairments were assessed using Part III of the Movement Disorder Society Unified Parkinson’s Disease Rating Scale. Regression models were run with each cognitive measure as the dependent variable, with group (control vs. PD), age, sex, education, and motor severity as predictors, to examine the effect of group on each cognitive variable. Correlations were then run between the total IADL score, demographic variables, and cognitive variables for each participant group separately to identify the relationship between IADL and EF measures.Results:PD participants were predominantly males (n=51, 68.9%), with an average age of 70.64±6.03 and 15.22±2.78 education years. Controls were predominantly female (n=34, 51.5%) and had an average age of 71.19±7.75 and 15.85±2.82 education years. Regarding IADL function, all participants were relatively independent in their IADLs (PD: 7.72±0.69, range 4-8, Controls: 7.98±0.13, range 7-8). The most difficult IADL items for PD participants were shopping (8.2% dependent) and food preparation (12.2% dependent). When correcting for age, education, sex, and motor severity, only the Stroop Interference z-score was significant for participant group (b=0.44, t=2.14, p=0.034), where controls had slightly lower scores (-0.33±0.77) than PD participants (-0.31±0.91). Correlations in controls were significant between IADL total score and Hayling trials 1 (r=0.35, p=0.005) and 2 (r=0.33, p=0.008), and semantic fluency actions trial (r=0.34, p=0.006). In PD participants, IADL total score was only correlated with semantic fluency (animals trial, r=0.26, p=0.028).Conclusions:There were only weak associations between EF abilities and IADL in both healthy controls and PD participants, suggesting that impairments in EF do not necessarily translate into worse ability to execute IADL in PD. More correlations were found in the control group, which may be confounded by the inclusion (in both groups) of participants who already had cognitive impairment. This highlights a further need to examine whether EF impairments in people with PD influence IADL functioning above and beyond normal aging and whether specific deficits have more real-life consequences not attainable through IADL questionnaires.

34 Attention-Deficit/Hyperactivity Disorder, Emotion Regulation, and Executive Functioning Associated with Educational and Occupational Outcomes in Adults

Objective:While attention-deficit/hyperactivity disorder (ADHD) symptoms, including inattention, hyperactivity, and impulsivity, are normally distributed within the population, features of ADHD have been associated with poor functional outcomes across various domains of life, such as academic achievement and occupational status. However, some individuals with even strong ADHD features show normal or above-average success within these functional domains. Executive dysfunction and emotion regulation abilities are associated with educational attainment and occupational status and may therefore explain some of the heterogeneity in functional outcomes in individuals with mild, moderate, and high levels of ADHD symptoms. In this study, we investigated whether emotion regulation strategy use (i.e., emotion suppression or cognitive reappraisal) and executive function abilities moderate the relationship between ADHD symptoms and occupational status and education attainment in adults.Participants and Methods:Data were collected from 109 adults aged 18 - 85 (M = 38.08, SD = 15.54; 70.6% female) from the Nathan Kline Institute Rockland Sample. All participants completed measures of ADHD symptoms (Conners Adult ADHD Rating Scale), emotion regulation strategy use (Emotion Regulation Questionnaire), and executive functioning (composite scores of inhibition, shifting and fluency from the standardized Delis-Kaplan Executive Function System). In this study, executive function abilities and emotion regulation strategy use were tested as potential moderators of the relationship between ADHD symptoms and functional outcomes using hierarchical regression models.Results:Several two- and three-way interactions predicting occupational status and educational attainment were observed. Education attainment was predicted by hyperactivity and reappraisal (ß = -0.26, p = .006); inattention, shifting, and reappraisal (ß = -0.52, p = .029); inattention, shifting, and suppression (ß = -0.40, p = .049); inattention, fluency, and reappraisal (ß = 0.24, p = .038); hyperactivity, fluency, and reappraisal (ß = 0.27, p = .034); and impulsivity, fluency, and reappraisal (ß = 0.44, p = .004). Occupational status was predicted by inattention and reappraisal, (ß = -0.27, p = .032), hyperactivity and reappraisal (ß = -0.26, p = .004); and impulsivity, fluency, and reappraisal (ß = 0.35, p = .031). Fluency was positively associated with educational attainment when controlling for inattention and impulsivity.Conclusions:Consistent with the hypothesis, the association between ADHD symptoms and both occupational status and educational attainment were moderated by the interaction between emotion regulation strategy use, executive function abilities domains. The observed interactions suggest that both occupational status and educational attainment may depend heavily on one’s intrinsic abilities and traits. Contrary to previous literature, we found no evidence that ADHD symptoms, emotional regulation strategies were independently associated with either educational attainment or occupational status, but this should be validated in a sample with greater representation of adults with clinically significant ADHD.

43 Evaluating the Relationship Between Social Support, Executive Function, and Communicative Effectiveness

Objective:Research suggests greater perceived social support is associated with better general cognitive function in community-dwelling older adults. While these findings expand our understanding of the role of social support in healthy aging, further work is needed to investigate the role of social support in mild cognitive impairment (MCI). Of particular interest is the relationship between executive function (EF), communicative effectiveness, and social support, as these are common areas of decline and are likely to impact one’s ability to meaningfully interact with others. The present study aimed to evaluate the association between perceived social support, EF, and communicative effectiveness. We hypothesize better EF performance and communicative effectiveness would be associated with higher levels of perceived social support in older adults with MCI.Participants and Methods:One hundred and twenty-one older adults with MCI were included in the current study. All participants were enrolled in Charles and Harriett Schaffer Cognitive Empowerment Program (CEP) at Emory University, a comprehensive lifestyle program for individuals diagnosed with MCI and their care partners. Upon CEP enrollment, participants completed self-report questionnaires, including the Multidimensional Scale of Perceived Social Support (MSPSS), the Communicative Effectiveness Index (CETI), and EF assessments including Letter Fluency (phonemic fluency), Digit Span Backward (working memory), and the Test of Practical Judgment (decision making). Additionally, a subset of participants completed the written Trail Making Test - Part B (set-shifting; n = 63). Pearson bivariate correlations were utilized to explore the relationship between MSPSS, CETI, and EF performance.Results:Higher levels of perceived social support were significantly associated with communicative effectiveness (r = .210, p = .021), such that participants who endorsed having more social support also reported greater confidence in their communicative effectiveness. Perceived social support was associated with better working memory performance (r = .342, p < .001), phonemic fluency output (r = .261, p = .041), and shorter time to complete TMT-B (r = -.244, p = .052), indicating individuals with higher perceived social support demonstrated better EF abilities. Finally, greater confidence in communicative effectiveness was associated with better performances in working memory (r = .274; p = .008), phonemic fluency output (r = .213; p = .020) and decision making (r =.192; p = .044), suggesting stronger working memory, phonemic fluency, and practical decision-making abilities support better communicative effectiveness. There was no association between social support and practical decision-making abilities (r = .146, p = .129).Conclusions:The current findings demonstrate a link between higher levels of social support, communicative effectiveness, and EF abilities, particularly in the subdomains of working memory, phonemic fluency, and set-shifting. This link suggests individuals with stronger EF abilities may have greater communicative effectiveness and, in turn, may be better able to maintain social relationships and garner social support. Future research is needed to evaluate the causality in this relationship, as it remains possible those with stronger social support networks maintain communicative effectiveness and EF for longer. Thus, further evaluation of the mechanism(s) underlying the relationships between social support, EF, and communicative effectiveness is needed.

32 Associations between Childhood Attention Deficit Hyperactivity Disorder and Learning Disabilities and Cognition in Late Adulthood.

Objective:There has been relatively little research on the effect of childhood attention difficulties/weaknesses and learning disabilities/differences on cognitive aging. This study examined associations between self-reported symptoms and diagnoses/concerns of childhood attention deficit hyperactivity disorder (ADHD) and reading or math learning disabilities (LD) and cognitive abilities in older adulthood. We hypothesized that cognitive weaknesses in childhood would be associated with cognitive abilities later in life.Participants and Methods:The 25 individuals with healthy cognition or MCI were recruited from the greater Philadelphia area (Mage= 74.4; SD= 5.34; 40% men; 84%white) and completed a self-report questionnaire of childhood ADHD and LD. Specifically, participants rated their experience of ADHD symptoms of inattention and hyperactivity/impulsivity and indicated whether they had a past diagnosis of (or concerns regarding past) ADHD, math LD or language/reading LD Participants also completed tests of language, attention, episodic memory, executive function, and processing speed. Pearson or point-biserial correlation coefficients (r-values) indicating a medium effect size (.30 or greater) were interpreted as meaningful.Results:On average, participants reported 3.48 symptoms of inattention and 2.56 symptoms of hyperactivity/impulsivity (i.e., at least six symptoms from either category are consistent with diagnostic criteria for ADHD). 16% of the sample reported childhood ADHD/attention difficulties, 48% reported childhood math LD/math difficulties, and 32% reported childhood language LD/difficulties. On cognitive tests, the sample performed in the average range, with considerable variability (i.e., norm-based, demographically adjusted T-scores ranged from 20-74). The relation between cognitive scores and report of childhood ADHD symptoms was weak and non-significant correlation (r<.18). By contrast, report of childhood ADHD/attention difficulties was associated with lower scores attention tests (r=.33). Report of childhood language LD/difficulties was associated with a worse overall cognitive composite (r=-.35) and executive function ability (r=-.35). Childhood math LD/difficulties was not meaningfully associated with lower scores on any of the cognitive tests administered. Unexpectedly, report of childhood cognitive difficulties also were associated with higher scores on cognitive tests, such that childhood ADHD/attention difficulties was associated with better performance on tests of episodic memory (r=.39), and childhood math LD/difficulties were associated with better performance on tests of language (r=-.37).Conclusions:Current cognitive abilities in older adults may be influenced by lifelong cognitive weakness and academic difficulties. A history of ADHD and LD/difficulties should be considered in clinical neuropsychological assessment and future research on cognitive aging should consider ADHD/LD from a lifespan, developmental framework.

4 Evaluating Plasma GFAP for the Detection of Alzheimer’s Disease Dementia

Objective:Blood-based biomarkers represent a scalable and accessible approach for the detection and monitoring of Alzheimer’s disease (AD). Plasma phosphorylated tau (p-tau) and neurofilament light (NfL) are validated biomarkers for the detection of tau and neurodegenerative brain changes in AD, respectively. There is now emphasis to expand beyond these markers to detect and provide insight into the pathophysiological processes of AD. To this end, a reactive astrocytic marker, namely plasma glial fibrillary acidic protein (GFAP), has been of interest. Yet, little is known about the relationship between plasma GFAP and AD. Here, we examined the association between plasma GFAP, diagnostic status, and neuropsychological test performance. Diagnostic accuracy of plasma GFAP was compared with plasma measures of p-tau181 and NfL.Participants and Methods:This sample included 567 participants from the Boston University (BU) Alzheimer’s Disease Research Center (ADRC) Longitudinal Clinical Core Registry, including individuals with normal cognition (n=234), mild cognitive impairment (MCI) (n=180), and AD dementia (n=153). The sample included all participants who had a blood draw. Participants completed a comprehensive neuropsychological battery (sample sizes across tests varied due to missingness). Diagnoses were adjudicated during multidisciplinary diagnostic consensus conferences. Plasma samples were analyzed using the Simoa platform. Binary logistic regression analyses tested the association between GFAP levels and diagnostic status (i.e., cognitively impaired due to AD versus unimpaired), controlling for age, sex, race, education, and APOE e4 status. Area under the curve (AUC) statistics from receiver operating characteristics (ROC) using predicted probabilities from binary logistic regression examined the ability of plasma GFAP to discriminate diagnostic groups compared with plasma p-tau181 and NfL. Linear regression models tested the association between plasma GFAP and neuropsychological test performance, accounting for the above covariates.Results:The mean (SD) age of the sample was 74.34 (7.54), 319 (56.3%) were female, 75 (13.2%) were Black, and 223 (39.3%) were APOE e4 carriers. Higher GFAP concentrations were associated with increased odds for having cognitive impairment (GFAP z-score transformed: OR=2.233, 95% CI [1.609, 3.099], p<0.001; non-z-transformed: OR=1.004, 95% CI [1.002, 1.006], p<0.001). ROC analyses, comprising of GFAP and the above covariates, showed plasma GFAP discriminated the cognitively impaired from unimpaired (AUC=0.75) and was similar, but slightly superior, to plasma p-tau181 (AUC=0.74) and plasma NfL (AUC=0.74). A joint panel of the plasma markers had greatest discrimination accuracy (AUC=0.76). Linear regression analyses showed that higher GFAP levels were associated with worse performance on neuropsychological tests assessing global cognition, attention, executive functioning, episodic memory, and language abilities (ps<0.001) as well as higher CDR Sum of Boxes (p<0.001).Conclusions:Higher plasma GFAP levels differentiated participants with cognitive impairment from those with normal cognition and were associated with worse performance on all neuropsychological tests assessed. GFAP had similar accuracy in detecting those with cognitive impairment compared with p-tau181 and NfL, however, a panel of all three biomarkers was optimal. These results support the utility of plasma GFAP in AD detection and suggest the pathological processes it represents might play an integral role in the pathogenesis of AD.

48 Associations Between Cognitive Function and Social Networks in Older Adults: Quality and not Quantity?

Objective:Larger social networks are linked to better cognitive function. However, little is known about the association of cognitive function with the composition of these networks in terms of the varying levels of closeness and supportive relationships. The present study explored whether social network size at different levels was differentially associated with cognitive function in a group of community-dwelling older adults.Participants and Methods:119 older adults (Mage= 70.71) from the Maine Aging Behavior Learning Enrichment Study completed a neuropsychological test battery measuring language, verbal memory, visuospatial memory, working memory, executive function, and processing speed abilities. The number and closeness of participants' relationships was measured using a Hierarchical Mapping Technique based on the Social Convoy model, in which participants included the names of people in their relational network within inner (closest), middle (close), and outer concentric circles.Results:Correlational analyses found that social network size at the total and middle-to-outer levels were statistically associated with education and better performance on measures of language, verbal memory, visuospatial memory, and executive function. However, no relationship emerged between the size of the innermost network level and cognitive function. Furthermore, statistically significant findings did not survive adjustments for the effect of education.Conclusions:Broader levels of support, rather than greater intimacy, were statistically associated with better cognitive performance. Consistent with previous research, greater education was associated with larger social networks. Future research is needed to understand whether higher levels of education or other factors mediate the observed relationship.

54 Cognitive Profiles of Older Adults with Depression in Psychotherapy Trials: A Scoping Review

Objective:Cognitive impairment is often comorbid with depression and anxiety, and the cognitive status of older adult patients can drastically impact depression treatment outcomes. The cognitive status of these patients invariably changes psychological treatment approaches that otherwise are viable and feasible in older adults. For example, although cognitive behavioral therapy is effective in treating cognitively intact patients with depression, it often relies on executive function (such as flexible thinking and problem solving) and other cognitive abilities that are impaired in patients with comorbid cognitive impairment. Practically, this results in unstandardized modifications to psychotherapy that may impact the fidelity—and thus effectiveness—of treatment. It is important to assess and classify cognitive dysfunction in depression treatment-seeking older adults in trials. This can help generalize research findings and identify potential barriers in transferring psychotherapeutic approaches for older adults with depression from treatment trials to practical clinical use, particularly in hard-to-treat populations with comorbid cognitive impairment.Participants and Methods:A systematic literature search was conducted in PubMed for the period 2000-2022. Study inclusion criteria was operationalised as follows: participants were identified as older adults (55 years and older), their primary psychiatric diagnosis was depression, and the study was a trial for depression treatment. Key search terms included: depression, treatment, psychotherapy, therapy, counseling, intervention, older adult, senior, late-life, elder, aged, clinical trial, and randomized controlled trial.Results:An initial search of the key terms returned 3,972 articles. 178 of these articles were subject to full text review. Of those, 45 articles met inclusion criteria. Overall study quality was acceptable. A portion of treatment trials did not assess for cognitive functioning. A majority of the articles excluded patients with cognitive impairment, with no further elaboration on the potential impact of cognitive functioning on treatment outcomes. A smaller portion of studies were more inclusive of the cognitive range of patient participants; however, they did not comment on the cognitive heterogeneity of their samples. Only three studies used a more extensive neuropsychological battery to examine cognitive profiles of patient participants. However, two of these studies also excluded individuals that fell below the cognitively intact range based on brief cognitive screening measures. Of the few studies that examined depression treatment in cognitively impaired and dementia patient populations, two trials examined cognitive functioning as a predictor or moderator of depression treatment outcome.Conclusions:Given that cognitive status can significantly impact depression treatment outcomes for older adults, there is a shocking dearth of inclusion of cognitively impaired patients in depression treatment clinical trials. Moreover, the limited studies that examined depression treatment in cognitively impaired populations, there is a lack of comprehensive cognitive assessment, and lack of exploration on how different types of cognitive dysfunction may contribute to variable depression treatment response. Future depression treatment trials in older adults should expand to include a variety of cognitive functioning ranges, as well as a more detailed assessment of how specific cognitive domains may impact treatment outcomes.

48 Variable Sleep Hours and Restfulness Ratings Across Days Predict Daily Functioning in Community-Dwelling Older Adults

Objective:Certain contextual factors, including non-restorative sleep (Niermeyer & Suchy, 2020), sleep deprivation (Lim & Dinges, 2010), burdensome emotion regulation (Franchow & Suchy, 2017), and pain interference (Boselie, Vancleef, & Peters, 2016) have been shown to contribute to temporary declines in executive functioning (EF). Contextually-induced decrements in EF in turn have been associated with temporary decrements in performance of instrumental activities of daily living (IADLs) among healthy older adults (Brothers & Suchy, 2021; Suchy et al., 2020; Niermeyer & Suchy 2020). Furthermore, some evidence suggests that higher variability in levels of contextual factors across days (i.e., deviations from routine) may contribute to IADL lapses above and beyond average, albeit high, levels of these contextual burdens (Bielak, Mogle, & Sliwinksi, 2019; Brothers & Suchy, 2021). Taken together, these findings highlight the importance of accounting for transient contextual burdens when assessing EF and IADL abilities in older adults.Poor sleep quality has been associated with poor IADL performance (Fung et al., 2012; Holfeld & Ruthing, 2012) when assessed in a single visit. However, the potential contributions of variable sleep quantity and quality on IADL performance have not been assessed in healthy older adults using longitudinal methods. Accordingly, the aim of this study was to examine the impact of fluctuations in sleep quantity and quality, assessed daily, above and beyond average levels, on at-home IADL performance across 18 days in a group of community-dwelling older adults.Participants and Methods:Fifty-two non-demented community-dwelling older adults (M age = 69 years, 65% female) completed 18 days of at-home IADL tasks, as well as daily ecological momentary assessment (EMA) measures of EF, sleep hours, and restfulness questions. An 18-day mean EMA EF score was computed controlling for practice effects. Mean levels of and variability in EMA sleep hours and EMA restfulness ratings were computed. IADL scores were computed for timeliness and accuracy across the 18 days.Results:A series of hierarchical linear regressions were run using separate IADL timeliness and accuracy as the dependent variable. In the first step, demographics (age, sex, education) were entered. Then, EMA EF was entered, followed by mean EMA sleep hours and EMA mean restfulness, and lastly, variability in EMA sleep hours and EMA restfulness. EMA EF was found to significantly predict both IADL accuracy (B = .46, p = .001) and timeliness (B = .45, p = .005). Variability in EMA sleep hours (B = .40, p = .008) and restfulness (B = -.29, p = .043) both predicted IADL accuracy beyond other variables, while mean levels did not. Additionally, variability in sleep hours and restfulness substantially improved the prediction of IADL accuracy above and beyond other variables in the model, accounting for an additional 16% of variance (F (2) = 3.80, ∆ R2 = .16, p = .006). Neither mean levels of or variability in sleep hours or restfulness predicted IADL timeliness.Conclusions:Results suggest that greater fluctuations in the amount and quality of sleep across days may render healthy older adults more susceptible to lapses in daily functioning abilities, particularly the accuracy with which IADL tasks are completed.

Executive functions abilities in preschool-age children are negatively related to parental EF, screen-time and positively related to home literacy environment: an EEG study

ABSTRACT Environmental factors such as Home Literacy Environment (HLE), screen time, and parental executive functions (EF) may influence the development of the child’s EF. The purpose of this study was to determine the effect of these factors on behavioral and neurobiological measures of EF in 4-year-old children. Electroencephalogram (EEG) data were collected while children performed the Attention Network Task (ANT), showing a smaller difference between incongruent and congruent conditions is related to better EF abilities. Data were analyzed using an Event-Related Potential (ERP) technique focusing on the N200 and P300 components (reflecting executive control and orienting attention, respectively). N200 and P300 differences (delta) between amplitudes and latencies for the incongruent and congruent conditions were computed and correlated with child EF skills, HLE, screen exposure, and parental EF. Screen exposure was associated with lower EF in children and their parents. Additionally, smaller differences between N200 amplitudes and latencies for the incongruent vs. congruent conditions were associated with higher HLE scores. In contrast, greater differences between P300 amplitudes and latencies were related to longer screen time. HLE was positively associated with EF’s neurobiological (EEG) and behavioral measures, and screen time was negatively associated with these measures. This study also highlights the important relationship between parental EF (i.e., family predisposition) and EF’s neurobiological and behavioral measures in their children.

Age-related, multivariate associations between white matter microstructure and behavioral performance in three executive function domains

The executive function (EF) domains of working memory (WM), response inhibition (RI), and set shifting (SS) show maturational gains and are linked to neuroimaging-measured brain changes. This study explored ways in which maturation-linked differences in EF abilities are systematically associated with white matter microstructural differences from adolescence into young adulthood. Diffusion tensor imaging (DTI) and nine neurocognitive tests were collected from 120 healthy subjects ages 12–24. Analyses across the white matter skeleton were performed, focusing on fractional anisotropy (FA). Data were ‘fused’ using a multivariate technique (CCA+jICA), producing four independent components (ICs) depicting white matter FA values that covaried with test performance. Correlations between age and IC loading coefficients identified three EF-DTI profiles that may change developmentally. In one, SS performance was linked to greater reliance on the FA of ventral brain tracts, and less on dorsal tracts with age. In another, white matter microstructure was related to a pattern of strong WM and weak SS that became more pronounced with age. A final IC revealed that younger individuals with low RI and high WM/SS skills typically matured out of this cognitive imbalance, underscored by white matter changes with age. These novel multivariate results begin to emphasize the complexity of brain structure-cognition relationships in adolescents and young adults.

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

RationaleThe 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. MethodsNeuropsychological 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. ResultsThe 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. ConclusionsThese 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.

Objective and Subjective Clustering Methods for Verb Fluency Responses From Individuals With Alzheimer's Dementia and Cognitively Healthy Older Adults.

The verb fluency task has been researched using a variety of analysis methods and shown its sensitivity to declines in executive functioning and lexical retrieval abilities in various neurogenic populations. Few studies to date, however, have analyzed clusters and switches in the task, and there is a lack of robust analysis methods that preclude subjectivity and potential rater bias. The purpose of this study was to investigate the reliability when using subjective clustering methods and to determine the feasibility of using an objective clustering method to determine verb fluency performance in individuals with Alzheimer's dementia (IwDs) and cognitively healthy older adults (CHOAs). Responses from a verb fluency task were obtained from IwDs and CHOAs. Group differences were examined using an objective clustering method for multiple variables regarding clustering and switching. We also calculated the intrarater, interrater, and intermethod reliability using intraclass coefficients. Significant group differences were found when utilizing the objective clustering method in all variables except the average cluster size, with IwDs performing poorer than CHOAs. Intrarater reliability was excellent. Interrater reliability between two authors and intermethod reliability between the objective and subjective methods were variable ranging from moderate to good. The results from using the objective clustering method in this study are consistent with the previous literature, making it a viable option for clustering analyses on the verb fluency task, which naturally minimizes subjectivity and rater bias. Alternatively, employing a thoroughly validated and reliable subjective approach can also mitigate potential rater bias and improve replicability across studies. https://doi.org/10.23641/asha.24061017.

A - 78 Characterization of Post-Stroke Cognitive and Mood Impairment within 1-Year Post-Stroke after Hospital Discharge.

To demonstrate the feasibility of cognitive and psychological characterization after stroke during post-discharge neurology visit as part of standard care. From January 1, to April 29, 2023, 33 patients were evaluated using the MoCA and screening tests for aphasia, spatial neglect, depression, and anxiety during their neurology outpatient visit. Neuropsychological measures evaluating attention, processing speed, language, visuospatial, memory, and executive function abilities were also administered. Patients were aged 30-87years (Mage = 64.8, SDage = 14.2). The sample included 37.1% women and was primarily Black/African American (37.1%) and White (54.3%). The average level of education was some college (Medu = 14.7, SDedu = 32.7). Time between stroke and testing ranged from 0-11months (Melapsed = 2.8, SDelapsed = 3.1 and 88.6% of patients experienced ischemic stroke. Over 68% of patients examined demonstrated global cognitive impairment on the MoCA (MMoCA = 21.2, SDMoCA = 5.1). 5.7% of patients met criteria for spatial neglect and 5.7% met criteria for aphasia. A higher percentage demonstrated impairments within visuospatial or language domains (51.4% visuospatial and 34.3% language, respectively. Further, impairments were observed across all other domains assessed, including attention (22.9%), processing speed (31.4%), verbal memory (62.9%), visual memory (54.3%), and executive function (51.4%). Depression and anxiety were present in 42.9% and 37.1% of the sample, respectively. Elapsed time, type of stroke, lateralization of stroke, sex, or mood scores were not associated with lower performance on the MoCA. Cognitive and behavioral deficits following stroke can be identified as part of standard neurologic care that may otherwise have been missed, providing an opportunity to intervene and maximize recovery in stroke patients.

A - 151 Assessing the Role of Executive Function in the Memory Performances of Retired National Football League Players.

We evaluated the relationship between retired National Football League players executive functioning (EF) abilities on verbal memory performance and subprocesses. Fifty-eight participants were divided into two groups: intact executive functioning (IEF) and deficit executive functioning (DEF). Participants completed the California Verbal Learning Test, Second Edition (CVLT-II) to evaluate verbal memory performance. Additionally, the Item Specific Deficit Approach (ISDA) was applied to the CVLT-II to quantify verbal memory subprocesses (i.e., encoding, consolidation, & retrieval). Next, we determined which ISDA indices predicted long-delayed free recall (LDFR) for both groups. We then computed hierarchal regressions to determine which ISDA indices were predictive of LDFR for each group. Next, we retained significant predictors from the ISDA and correlated them with measures of executive function in both groups with and without partialling out cognitive reserve (CR). We found the IEF group outperformed the DEF group on the CVLT-II learning trials and LDFR, and demonstrated better encoding abilities. Hierarchical regression revealed that the ISDA was predictive of LDFR in both groups. The DEF group LDFR issues were only predicted by encoding problems. In contrast, LDFR deficits in the IEF were primarily driven by consolidation problems. The ISDA encoding index correlated with Trail Making Test part B and Phonemic Fluency Test. However, after partialling out the variance accounted for by CR, the associations between the encoding index and executive function were nonsignificant. Our results suggest that greater executive function results in better memory performances in retired football players. Lastly, improved executive function is related to greater CR.

B - 63 Relationship between Executive Functioning and Trauma Symptom Report in Healthy Older Adults.

The study investigated the relationship between trauma symptoms and executive functioning (EF) in healthy older adults, emphasizing the importance of assessing the trauma history of those with subclinical trauma and stressor-related disorders in neuropsychological evaluations. It was hypothesized that age is negatively correlated with trauma symptoms, and trauma symptoms are negatively correlated with EF performance. This cross-sectional investigation included 520 adults ages 50-85 (67.9% Female; Education: 15.95(2.31); 87.9% White, 7.7% Black, 3.3% Asian, 0.6% Native American, 0.6% Other) from the Nathan Kline Institute's Rockland Sample. Trauma was measured by the total raw score of the Trauma Symptom Checklist-40 (TSC-40) and six subscale scores. EF was measured by performance on selected D-KEFS measures. Separate Pearson correlations were used to compare age to trauma scores, and EF performance to trauma scores. The anxiety subscale of TSC-40 showed a significant weak correlation with age, r (518) = -0.138, p = 0.001. Age was not correlated with any other TSC-40 subscales. The TSC-40 sexual abuse (SA) subscale showed a significant weak correlation with Color-Word Inhibition r(518) = -0.096, p = 0.031 and Trail Making-Switching r(518) = -0.106, p = 0.016. The remaining TSC-40 subscales were not correlated with other EF measures. The study demonstrated that the overall severity of trauma symptoms is not associated with age in older adults. Older adults with fewer symptoms associated with SA showed higher EF abilities. Future investigations will assess how gender and socioeconomic status affect the association between trauma and EF in older adults.

Nonverbal Executive Functioning in Relation to Vocabulary and Morphosyntax in Preschool Children With and Without Developmental Language Disorder.

Developmental language disorder (DLD) is characterized by persistent and unexplained difficulties in language development. Accumulating evidence shows that children with DLD also present with deficits in other cognitive domains, such as executive functioning (EF). There is an ongoing debate on whether exclusively verbal EF abilities are impaired in children with DLD or whether nonverbal EF is also impaired, and whether these EF impairments are related to their language difficulties. The aims of this study were to (a) compare nonverbal performance of preschoolers with DLD and typically developing (TD) peers, (b) examine how nonverbal EF and language abilities are related, and (c) investigate whether a diagnosis of DLD moderates the relationship between EF and language abilities. A total of 143 children (nDLD = 65, nTD = 78) participated. All children were between 3 and 6.5 years old and were monolingual Dutch. We assessed nonverbal EF with a visual selective attention task, a visuospatial short-term and working memory task, and a task gauging broad EF abilities. Vocabulary and morphosyntax were each measured with two standardized language tests. We created latent variables for EF, vocabulary, and morphosyntax. Analyses showed that children with DLD were outperformed by their TD peers on all nonverbal EF tasks. Nonverbal EF abilities were related to morphosyntactic abilities in both groups, whereas a relationship between vocabulary and EF skills was found in the TD group only. These relationships were not significantly moderated by a diagnosis of DLD. We found evidence for nonverbal EF impairments in preschool children with DLD. Moreover, nonverbal EF and morphosyntactic abilities were significantly related in these children. These findings may have implications for intervention and support the improvement of prognostic accuracy. https://doi.org/10.23641/asha.24121287.

Volumetric brain correlates of gait associated with cognitive decline in community-dwelling older adults.

To determine the extent to which the regional brain volumes associated with slow gait speed can inform subsequent cognitive decline in older adults from the Rush Memory and Aging Project. We utilized deformation-based morphometry (DBM) in a whole-brain exploratory approach to identify the regional brain volumes associated with gait speed assessed over a short distance during an in-home assessment. We created deformation scores to summarize the gait-associated regions and entered the scores into a series of longitudinal mixed effects models to determine the extent to which deformation predicted change in cognition over time, controlling for associations between gait and cognition. In 438 older adults (81 ± 7; 76% female), DBM revealed that slower gait speed was associated with smaller volumes across frontal white matter, temporal grey matter, and subcortical areas and larger volumes in the ventricles during the same testing cycle. When a subset was followed over multiple (5 ± 2) years, slower gait speed was also associated with annual declines in global cognition, executive functioning, and memory abilities. Several of the gait-related brain structures were associated with these declines in cognition; however, larger ventricles and smaller medial temporal lobe volumes proved most robust and attenuated the association between slow gait and cognitive decline. Regional brain volumes in the ventricles and temporal lobe associated with both slow gait speed and faster cognitive decline have potential to improve risk stratification for cognitive decline in older adults.

Predicting executive functioning from brain networks: modality specificity and age effects.

Healthy aging is associated with structural and functional network changes in the brain, which have been linked to deterioration in executive functioning (EF), while their neural implementation at the individual level remains unclear. As the biomarker potential of individual resting-state functional connectivity (RSFC) patterns has been questioned, we investigated to what degree individual EF abilities can be predicted from the gray-matter volume (GMV), regional homogeneity, fractional amplitude of low-frequency fluctuations (fALFF), and RSFC within EF-related, perceptuo-motor, and whole-brain networks in young and old adults. We examined whether the differences in out-of-sample prediction accuracy were modality-specific and depended on age or task-demand levels. Both uni- and multivariate analysis frameworks revealed overall low prediction accuracies and moderate-to-weak brain-behavior associations (R2< 0.07, r< 0.28), further challenging the idea of finding meaningful markers for individual EF performance with the metrics used. Regional GMV, well linked to overall atrophy, carried the strongest information about individual EF differences in older adults, whereas fALFF, measuring functional variability, did so for younger adults. Our study calls for future research analyzing more global properties of the brain, different task-states and applying adaptive behavioral testing to result in sensitive predictors for young and older adults, respectively.

Radiotherapy-induced vascular cognitive impairment 20 years after childhood brain tumor.

Studies have established that radiotherapy for childhood brain tumors (BTs) increases the risk of cerebrovascular disease (CVD); however, it is unclear how this will affect cognitive function. This study aimed to investigate the associations between radiotherapy-induced CVD, white matter hyperintensities (WMHs), and neurocognitive outcomes in adult survivors of childhood BTs. In a cross-sectional setting, we conducted a national cohort that included 68 radiotherapy-treated survivors of childhood BTs after a median follow-up of 20 years. Markers of CVD and WMHs were evaluated using brain MRI, and the sum of CVD-related findings was calculated. Additionally, the associations among CVD findings, WMHs, and neuropsychological test results were analyzed. Of the 68 childhood BT survivors, 54 (79%) were diagnosed with CVD and/or WMHs at a median age of 27 years. CVD and/or WMHs were associated with lower scores for verbal intelligence quotient, performance intelligence quotient (PIQ), executive function, memory, and visuospatial ability (P < .05). Additionally, survivors with microbleeds had greater impairments in the PIQ, processing speed, executive function, and visuospatial ability (P < .05). WMHs and CVD burden were associated with greater difficulties in memory function and visuospatial ability (P < .05). Small-vessel disease burden was associated with PIQ scores, processing speed, working memory, and visuospatial ability. The study results suggest that markers of radiotherapy-induced CVD, the additive effect of CVD markers, and risk factors of dementia are associated with cognitive impairment, which may suggest that the survivors are at a high risk of developing early-onset dementia.