Neurocognitive outcomes of older National Football League retirees.

OBJECTIVE: Determine if head-injury exposure relates to later-in-life cognitive decline in older National Football League (NFL) retirees. METHOD: NFL retirees (aged 50+) with or without cognitive impairment underwent baseline (n = 53) and follow-up (n = 29; 13-59 months later) neuropsychological evaluations. Cognitively normal (CN) retirees (n = 26) were age- and education-matched to healthy controls (n = 26). Cognitively impaired (CI) retirees with mild cognitive impairment or dementia (n = 27) were matched to a clinical sample (CS) by age, sex, education, and diagnosis (n = 83). ANOVAs compared neuropsychological composites at baseline and over time between retirees and their matched groups. Regression models evaluated whether concussions, concussions with loss of consciousness (LOC), or games played predicted neuropsychological functioning. RESULTS: At baseline, CN retirees had slightly worse memory than controls (MCN retirees = 50.69, SECN retirees = 1.320; MHealthy controls = 57.08, SEHealthy controls = 1.345; p = 0.005). No other group diferences were observed, and head-injury exposure did not predict neurocognitive performance at baseline or over time. CONCLUSIONS: Head-injury exposure was not associated with later-in-life cognition, regardless of cognitive diagnosis. Some retirees may exhibit lower memory scores compared to age-matched peers, though this is of unclear clinical significance.

Risk factors for earlier dementia onset in autopsy-confirmed Alzheimer's disease, mixed Alzheimer's with Lewy bodies, and pure Lewy body disease.

INTRODUCTION: Clinical Alzheimer's disease (AD) and dementia with Lewy bodies often have mixed AD and Lewy pathology, making it difficult to delineate risk factors. METHODS: Six risk factors for earlier dementia onset due to autopsy-confirmed AD (n = 647), mixed AD and Lewy body disease (AD + LBD; n = 221), and LBD (n = 63) were entered into multiple linear regressions using data from the National Alzheimer's Coordinating Center. RESULTS: In AD and AD + LBD, male sex and apolipoprotein E (APOE) ɛ4 alleles each predicted a 2- to 3-year-earlier onset and depression predicted a 3-year-earlier onset. In LBD, higher education predicted earlier onset and depression predicted a 5.5-year-earlier onset. DISCUSSION: Male sex and APOE ɛ4 alleles increase risk for earlier dementia onset in AD but not LBD. Depression increases risk for earlier dementia onset in AD, LBD, and AD + LBD, but evaluating the course, treatment, and severity is needed in future studies.

Predictors of Reversion from Mild Cognitive Impairment to Normal Cognition.

BACKGROUND/AIMS: Few studies have examined predictors of reversion from mild cognitive impairment (MCI) to normal cognition. We sought to identify baseline predictors of reversion, using the National Alzheimer's Coordinating Center Uniform Data Set, by comparing MCI individuals who reverted to normal cognition to those who progressed to dementia. METHODS: Participants (n = 1,208) meeting MCI criteria were evaluated at the baseline visit and 3 subsequent annual visits. Clusters of baseline predictors of MCI reversion included demographic/genetic data, global functioning, neuropsychological functioning, medical health/dementia risk score, and neuropsychiatric symptoms. Stepwise logistic regression models identified predictors of MCI reversion per cluster, which were then entered into a final comprehensive model to find overall predictor(s). RESULTS: At 2 years, 175 (14%) reverted to normal cognition, 612 (51%) remained MCI, and 421 (35%) progressed to dementia, with sustained diagnoses at 3 years. Significant variables associated with MCI reversion were younger age, being unmarried, absence of APOE ε4 allele, lower CDR-SOB score, and higher memory/language test scores. CONCLUSION: A relatively sizable proportion of MCI individuals reverted to normal cognition, which is associated with multiple factors previously noted. Findings may enhance MCI prognostic accuracy and increase precision of early intervention studies of dementia.

Predictors That a Diagnosis of Mild Cognitive Impairment Will Remain Stable 3 Years Later.

BACKGROUND AND OBJECTIVE: In half to two thirds of patients who are diagnosed with mild cognitive impairment (MCI), the diagnosis neither converts to dementia nor reverts to normal cognition; however, little is known about predictors of MCI stability. Our study aimed to identify those predictors. METHODS: We obtained 3-year longitudinal data from the National Alzheimer's Coordinating Center Uniform Data Set for patients with a baseline diagnosis of MCI. To predict MCI stability, we used the patients' baseline data to conduct three logistic regression models: demographics, global function, and neuropsychological performance. RESULTS: Our final sample had 1059 patients. At the end of 3 years, 596 still had MCI and 463 had converted to dementia. The most reliable predictors of stable MCI were higher baseline scores on delayed recall, processing speed, and global function; younger age; and absence of apolipoprotein E4 alleles. CONCLUSIONS: Not all patients with MCI progress to dementia. Of the protective factors that we identified from demographic, functional, and cognitive data, the absence of apolipoprotein E4 alleles best predicted MCI stability. Our predictors may help clinicians better evaluate and treat patients, and may help researchers recruit more homogeneous samples for clinical trials.

Traumatic brain injury history is associated with earlier age of onset of frontotemporal dementia.

OBJECTIVE: We retrospectively examined whether a history of traumatic brain injury (TBI) is associated with an earlier age of symptom onset and diagnosis in a large sample of patients with behavioural variant frontotemporal dementia (bvFTD). METHODS: Data on patients with bvFTD (n=678) were obtained from the National Alzheimer's Coordinating Center Uniform Data Set. TBI was categorised based on reported lifetime history of TBI with loss of consciousness (LOC) but no chronic deficits occurring more than 1 year prior to diagnosis of bvFTD. Analysis of covariance (ANCOVA) was used to determine if clinician-estimated age of symptom onset and age at diagnosis of bvFTD differed between those who reported a history of TBI with LOC (TBI+) and those who did not (TBI-). RESULTS: Controlling for sex, the TBI+ bvFTD group had an age of symptom onset and age of diagnosis that was on average 2.8 and 3.2 years earlier (p<0.01) than the TBI- bvFTD group. CONCLUSIONS: TBI history with LOC occurring more than 1 year prior to diagnosis is associated with an earlier age of symptom onset and diagnosis in patients with bvFTD. TBI may be related to the underlying neurodegenerative processes in bvFTD, but the implications of age at time of injury, severity and repetitive injuries remain unclear.

Use of the Montreal Cognitive Assessment and Alzheimer's Disease-8 as cognitive screening measures in Parkinson's disease.

OBJECTIVE: To examine the sensitivity and specificity of the Montreal Cognitive Assessment (MoCA), a brief cognitive screening measure previously validated for use in Parkinson's disease (PD), and Alzheimer's Disease-8 (AD8), an eight-item informant report used to screen for dementia, but not yet validated for use in PD, to identify cognitive impairment in a sample of 111 patients with PD. METHODS: Cognitive impairment was determined based on a battery of neuropsychological measures, excluding the MoCA and AD8. Classification rates of both the MoCA and AD8 in identifying cognitive impairment were examined using logistic regression and receiver operator characteristic (ROC) analysis. Optimal cutoff scores were determined to maximize sensitivity and specificity. RESULTS: The MoCA correctly classified 78.4% of participants (p < 0.001), and ROC analysis yielded an area under the curve (AUC) of 0.82. A MoCA cutoff score of <25 yielded optimal sensitivity (0.77) and specificity (0.79) for identifying PD patients with cognitive impairment. Similar analyses for the AD8 were statistically nonsignificant, although the classification rate was 70.5%, with an AUC of 0.50. CONCLUSIONS: These results provide additional support for the MoCA, but not the AD8, in identifying cognitive impairment in patients with PD.

Utility of a Short-Form Phonemic Fluency Task.

OBJECTIVE: to establish a proof-of-concept and ascertain the reliability of an abbreviated 30-second (30s) phonemic fluency measure as a cognitive screening tool in older adults. METHODS: in all, 201 English-speaking individuals with normal cognition (NC; n = 119) or cognitive impairment (CI; mild CI or dementia; n = 82) were administered a standard 60s phonemic fluency task (FAS/CFL) with discrete 30s intervals denoted. RESULTS: for all letters, 30s trial scores significantly predicted 60s scores for the same letter, R2 = .7-.9, F(1, 200) = 850-915, p < .001. As with 60s total scores, 30s cumulative scores (for all three trials) were significantly different between NC and CI groups (p < .001). Receiver operating characteristic analyses showed that 30s total scores distinguished NC and CI groups as effectively (AUC = .675) as 60s total scores (AUC = .658). CONCLUSIONS: these findings support the utility and reliability of a short-form phonemic fluency paradigm, as 30s performance reliably predicted 60s/trial totals and was equally accurate in distinguishing impaired/non-impaired groups.

Tele-Neuropsychology: From Science to Policy to Practice.

OBJECTIVE: The primary aim of this paper is to accelerate the number of randomized experimental studies of the reliability and validity in-home tele-neuropsychological testing (tele-np-t). METHOD: We conducted a critical review of the tele-neuropsychology literature. We discuss this research in the context of the United States' public and private healthcare payer systems, including the Centers for Medicare & Medicaid Services (CMS) and Current Procedural Terminology (CPT) coding system's telehealth lists, and existing disparities in healthcare access. RESULTS: The number of tele-np publications has been stagnant since the onset of the COVID-19 pandemic. There are less published experimental studies of tele-neuropsychology (tele-np), and particularly in-home tele-np-t, than other tele-np publications. There is strong foundational evidence of the acceptability, feasibility, and reliability of tele-np-t, but relatively few studies of the reliability and validity of in-home tele-np-t using randomization methodology. CONCLUSIONS: More studies of the reliability and validity of in-home tele-np-t using randomization methodology are necessary to support inclusion of tele-np-t codes on the CMS and CPT telehealth lists, and subsequently, the integration and delivery of in-home tele-np-t services across providers and institutions. These actions are needed to maintain equitable reimbursement of in-home tele-np-t services and address the widespread disparities in healthcare access.

Integrating Lifestyle Factor Science into Neuropsychological Practice: A National Academy of Neuropsychology Education Paper.

OBJECTIVE: The primary aim of this paper is to review evidence and clinical implications related to lifestyle activities associated with promoting brain and cognitive health. Our review targets four key lifestyle factors: physical activity and exercise, social engagement, cognitively stimulating activity, and consuming Mediterranean-style diets. METHOD: We conducted a critical review of the lifestyle factor literature in the four domains listed earlier. We contextualize this literature review by translating findings, when possible, into evidence-based recommendations to consider when providing neuropsychological services. RESULTS: There is significant current evidence supporting the role of physical activity and exercise, social engagement, cognitively stimulating activity, and consuming Mediterranean-style diets on positive brain and cognitive health outcomes. While some null findings are present in all four areas reviewed, the weight of the evidence supports the notion that engaging in these activities may promote brain and cognitive functioning. CONCLUSIONS: Clinical neuropsychologists can have confidence in recommending engagement in physical activity, social activity, and cognitively stimulating activity, and adhering to a Mediterranean-style diet to promote brain and cognitive health. We discuss limitations in existing lifestyle factor research and future directions to enhance the existing evidence base, including additional research with historically underrepresented groups and individuals with neurological conditions.

A novel speech analysis algorithm to detect cognitive impairment in a Spanish population.

Objective: Early detection of cognitive impairment in the elderly is crucial for diagnosis and appropriate care. Brief, cost-effective cognitive screening instruments are needed to help identify individuals who require further evaluation. This study presents preliminary data on a new screening technology using automated voice recording analysis software in a Spanish population. Method: Data were collected from 174 Spanish-speaking individuals clinically diagnosed as cognitively normal (CN, n = 87) or impaired (mild cognitive impairment [MCI], n = 63; all-cause dementia, n = 24). Participants were recorded performing four common language tasks (Animal fluency, alternating fluency [sports and fruits], phonemic "F" fluency, and Cookie Theft Description). Recordings were processed via text-transcription and digital-signal processing techniques to capture neuropsychological variables and audio characteristics. A training sample of 122 subjects with similar demographics across groups was used to develop an algorithm to detect cognitive impairment. Speech and task features were used to develop five independent machine learning (ML) models to compute scores between 0 and 1, and a final algorithm was constructed using repeated cross-validation. A socio-demographically balanced subset of 52 participants was used to test the algorithm. Analysis of covariance (ANCOVA), covarying for demographic characteristics, was used to predict logistically-transformed algorithm scores. Results: Mean logit algorithm scores were significantly different across groups in the testing sample (p < 0.01). Comparisons of CN with impaired (MCI + dementia) and MCI groups using the final algorithm resulted in an AUC of 0.93/0.90, with overall accuracy of 88.4%/87.5%, sensitivity of 87.5/83.3, and specificity of 89.2/89.2, respectively. Conclusion: Findings provide initial support for the utility of this automated speech analysis algorithm as a screening tool for cognitive impairment in Spanish speakers. Additional study is needed to validate this technology in larger and more diverse clinical populations.

Associations Between Cardiac Function and Brain Health in Diverse Middle-Aged Adults: The Dallas Heart Study-2.

Background: Previous studies have linked cardiovascular risk factors during midlife to cognitive function in later life. However, few studies have looked at the association between cardiac function, brain structure, and cognitive function and even less have included diverse middle-aged populations. Objectives: The objective of this study was to determine associations between cardiac and brain structure and function in a multiethnic cohort of middle-aged adults. Methods: A cross-sectional study was conducted in participants of the Dallas Heart Study phase 2 (N = 1,919; 46% Black participants). Left ventricular (LV) mass, LV ejection fraction, LV concentricity, and peak systolic strain (LV Ecc) were assessed by cardiac magnetic resonance imaging. White matter hyperintensities (WMH) volume was measured by fluid attenuated inversion recovery magnetic resonance imaging. The Montreal Cognitive Assessment was used to measure cognitive functioning. Associations between cardiac and brain measures were determined using multivariable linear regression after adjusting for cardiovascular risk factors, education level, and physical activity. Results: LV ejection fraction was associated with total Montreal Cognitive Assessment score (ß = 0.06 [95% CI: 0.003-0.12], P = 0.042) and LV Ecc was associated with WMH volume (ß = 0.08 [95% CI: 0.01-0.14], P = 0.025) in the overall cohort without significant interaction by race/ethnicity. Higher LV mass and concentricity were associated with larger WMH volume in the overall cohort (ß = 0.13 [95% CI: 0.03-0.23], P = 0.008 and 0.10 [95% CI: 0.03-0.17], P = 0.005). These associations were more predominant in Black than White participants (ß = 0.17 [95% CI: 0.04-0.30] vs ß = -0.009 [95% CI: -0.16 to 0.14], P = 0.036 and ß = 0.22 [95% CI: 0.13-0.32] vs ß = -0.11 [95% CI: -0.21 to -0.01], P < 0.0001, for LV mass and concentricity, respectively). Conclusions: Subclinical cardiac dysfunction indicated by LVEF was associated with lower cognitive function. Moreover, LV mass and concentric remodeling were associated with higher WMH burden, particularly among Black individuals.

A Critical Review of Neuropsychological Actuarial Criteria for Mild Cognitive Impairment.

BACKGROUND: The concept of mild cognitive impairment (MCI) has evolved since its original conception. So, too, have MCI diagnostic methods, all of which have varying degrees of success in identifying individuals at risk of conversion to dementia. The neuropsychological actuarial method is a straightforward diagnostic approach that has shown promise in large datasets in identifying individuals with MCI who are likely to have progressive courses. This method has been increasingly applied in various iterations and samples, raising questions of how best to apply this method and when caution should be used. OBJECTIVE: Our objective was to review the literature investigating use of the neuropsychological actuarial method to diagnose MCI to identify strengths and weaknesses of this approach, as well as highlight areas for further research. METHODS: Databases PubMed and PsychInfo were systematically searched for studies that compared the neuropsychological actuarial method to some other diagnostic method. RESULTS: We identified 13 articles and extracted relevant study characteristics and findings. Existing literature was reviewed and integrated, with focus on the neuropsychological actuarial method's performance relative to existing diagnostic methods/criteria as well as associations with longitudinal outcomes and biomarkers. Tables with pertinent methodological information and general findings are also provided. CONCLUSION: The neuropsychological actuarial method to diagnose MCI has shown utility some in large-scale homogenous databases compared to research criteria. However, its standing relative to consensus diagnostic methods is unclear, and emerging evidence suggests the neuropsychological actuarial method may be more prone to diagnostic errors in more demographically diverse populations.

Impact of word properties on list learning: An explanatory item analysis.

OBJECTIVE: A variety of factors affect list learning performance and relatively few studies have examined the impact of word selection on these tests. This study examines the effect of both language and memory processing of individual words on list learning. METHOD: Item-response data from 1,219 participants, Mage = 74.41 (SD = 7.13), Medu = 13.30 (SD = 2.72), in the Harmonized Cognitive Assessment Protocol were used. A Bayesian generalized (non)linear multilevel modeling framework was used to specify the measurement and explanatory item-response theory models. Explanatory effects on items due to learning over trials, serial position of words, and six word properties obtained through the English Lexicon Project were modeled. RESULTS: A two parameter logistic (2PL) model with trial-specific learning effects produced the best measurement fit. Evidence of the serial position effect on word learning was observed. Robust positive effects on word learning were observed for body-object integration while robust negative effects were observed for word frequency, concreteness, and semantic diversity. A weak negative effect of average age of acquisition and a weak positive effect for the number of phonemes in the word were also observed. CONCLUSIONS: Results demonstrate that list learning performance depends on factors beyond the repetition of words. Identification of item factors that predict learning could extend to a range of test development problems including translation, form equating, item revision, and item bias. In data harmonization efforts, these methods can also be used to help link tests via shared item features and testing of whether these features are equally explanatory across samples. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Predictors of Life Expectancy in Autopsy-Confirmed Alzheimer's Disease.

BACKGROUND: Life expectancy (LE) following Alzheimer's disease (AD) is highly variable. The literature to date is limited by smaller sample sizes and clinical diagnoses. OBJECTIVE: No study to date has evaluated predictors of AD LE in a retrospective large autopsy-confirmed sample, which was the primary objective of this study. METHODS: Participants (≥50 years old) clinically and neuropathologically diagnosed with AD were evaluated using National Alzheimer's Coordinating Center (N = 1,401) data. Analyses focused on 21 demographic, medical, neuropsychiatric, neurological, functional, and global cognitive predictors of LE at AD dementia diagnosis. These 21 predictors were evaluated in univariate analyses. Variables found to be significant were then entered into a forward multiple regression. LE was defined as months between AD diagnosis and death. RESULTS: Fourteen predictors were significant in univariate analyses and entered into the regression. Seven predictors explained 27% of LE variance in 764 total participants. Mini-Mental State Examination (MMSE) score was the strongest predictor of LE, followed by sex, age, race/ethnicity, neuropsychiatric symptoms, abnormal neurological exam results, and functional impairment ratings. Post-hoc analyses revealed correlations of LE were strongest with MMSE ≤12. CONCLUSION: Global cognitive functioning was the strongest predictor of LE following diagnosis, and AD patients with severe impairment had the shortest LE. AD patients who are older, male, white, and have more motor symptoms, functional impairment, and neuropsychiatric symptoms were also more likely have shorter LE. While this model cannot provide individual prognoses, additional studies may focus on these variables to enhance predictions of LE in patients with AD.

Southwestern Assessment of Processing Speed (SWAPS): A new brief test with demographically-corrected norms in an ethnically and educationally diverse population.

Objective. Neuropsychological measures of processing speed have long been used as sensitive indices of cognitive functioning. Most of these commonly used tests are proprietary, and there is a need for brief, freely available tools that can be used in diverse clinical and research settings. The Southwestern Assessment of Processing Speed (SWAPS) is a 60-second digit-symbol transcription task developed as a brief alternative to commercially available coding tests. Demographically-corrected normative data are presented along with reliability and sensitivity/specificity values in older adults with and without cognitive impairment.Method. SWAPS data from 915 healthy aging individuals (NC) and 858 subjects with clinical diagnoses of mild cognitive impairment (MCI; n = 430) and Alzheimer's disease clinical syndrome (ADCS; n = 428) were obtained from the Texas Alzheimer's Research and Care Consortium (TARCC). TARCC participants represent ethnically and educationally diverse community-dwelling individuals age 50+.Results. SWAPS scores showed the expected associations with age, sex, and education, and the interaction between age and education were significant predictors of SWAPS scores. Test-retest reliability in NC was good, and the SWAPS distinguished impaired and non-impaired groups with adequate to excellent sensitivity and specificity for the primary analyses, with optimal cut-off points provided. Raw score- to uncorrected normalized T-scores and demographically-corrected SWAPS T-scores using regression-based norms are presented along with scoring programs for the calculation of each.Conclusions. The SWAPS is a brief, free, easily administered test with demographically-corrected regression-based norms and promising utility for detection of cognitive impairment and efficient assessment of processing speed.

An examination of the Boston Naming Test: calculation of "estimated" 60-item score from 30- and 15-item scores in a cognitively impaired population.

OBJECTIVE: Multiple versions of the Boston Naming Test (BNT) exist, which makes comparison of findings from different studies difficult. The current project sought to determine if estimated 60-item BNT scores could be reliably calculated from 30- and 15-item administrations with patients diagnosed with Alzheimer's disease (AD). METHODS: Estimated 60-item scores were created for 30-item (even and odd) and 15-item Consortium to Establish a Registry for Alzheimer's disease (CERAD) versions of the BNT from a database containing item-level responses for all BNT items. Correlations were conducted between all three estimated 60-item scores and full 60-item version scores administered to all participants in the sample. RESULTS: The estimated versions were all highly correlated with the standard 60-item version of the BNT across the sample and these findings held when the sample was separated out by case (AD) and control status. Mean difference scores were very small for scores estimated from 30-item administrations; however, difference scores for the 15-item CERAD were much larger. CONCLUSIONS: Estimated 60-item versions of the BNT can be created from 30-item BNT administrations, which will enable comparisons across studies and allow integration of data from various AD research groups for increased power in analytic protocols. Creation of an estimated score from the 15-item CERAD version is not warranted.

Montreal Cognitive Assessment (MoCA) scores in medically compromised patients: A scoping review.

OBJECTIVE: The purpose of this review is to critically examine studies that have examined investigated the Montreal Cognitive Assessment (MoCA) and functional or medical outcomes and other health variables in patients with non-neurologic medical conditions. METHOD: Databases OVID Medline and Embase were systematically searched through April 2020, yielding 281 articles that were separately screened for inclusion. Study characteristics extracted from retained articles are presented in Table S1 (online supplemental materials). RESULTS: Thirty-six articles were retained. Cognitive impairment as assessed by the MoCA was associated with adverse health variables including increased morbidity/mortality, poorer functional abilities, increased length of hospital stay, and increased hospital readmissions in 34 of 36 articles. CONCLUSIONS: Cognitive impairment as detected by the MoCA was shown in 34 of 36 studies to be associated with worse functional or medical status compared to those with better cognitive functioning across a variety of medical populations. Further research is needed to better understand how to best use the MoCA to potentially inform treatment planning in medical populations, including referral for more detailed neuropsychological evaluation. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Frequency and Predictors of Traumatic Encephalopathy Syndrome in a Prospective Cohort of Retired Professional Athletes.

Traumatic encephalopathy syndrome (TES) is proposed to represent the long-term impact of repetitive head-injury exposure and the clinical manifestation of chronic traumatic encephalopathy (CTE). This study aimed to evaluate the frequency of TES in a cohort of retired professional contact sport athletes, compare the frequency of TES to clinical consensus diagnoses, and identify predictors that increase the likelihood of TES diagnosis. Participants were 85 retired professional contact sport athletes from a prospective cohort at the University of Texas Southwestern Medical Center and the University of Texas at Dallas. Participants ranged in age from 23 to 79 (M = 55.95, SD = 13.82) and obtained 7 to 19 years of education (M = 16.08, SD = 1.03). Retirees were either non-Hispanic white (n = 62) or African-American (n = 23). Retired athletes underwent a standard clinical evaluation, which included a clinical interview, neurological exam, neuroimaging, neuropsychological testing, and consensus diagnosis of normal, mild cognitive impairment, or dementia. TES criteria were applied to all 85 athletes, and frequencies of diagnoses were compared. Fourteen predictors of TES diagnosis were evaluated using binary logistic regressions, and included demographic, neuropsychological, depression symptoms, and head-injury exposure variables. A high frequency (56%) of TES was observed among this cohort of retired athletes, but 54% of those meeting criteria for TES were diagnosed as cognitively normal via consensus diagnosis. Games played in the National Football League (OR = 0.993, p = 0.087), number of concussions (OR = 1.020, p = 0.532), number of concussions with loss of consciousness (OR = 1.141 p = 0.188), and years playing professionally (OR = 0.976, p = 0.627) were not associated with TES diagnosis. Degree of depressive symptomatology, as measured by the total score on the Beck Depression Inventory-II, was the only predictor of TES diagnosis (OR = 1.297, p < 0.001). Our results add to previous findings underscoring the risk for false positive diagnosis, highlight the limitations of the TES criteria in clinical and research settings, and question the relationship between TES and head-injury exposure. Future research is needed to examine depression in retired professional athletes.

InterOrganizational practice committee guidance/recommendation for models of care during the novel coronavirus pandemic.

Objective: The Inter Organizational Practice Committee (IOPC) convened a workgroup to develop guidance on models to provide neuropsychological (NP) care during the COVID-19 pandemic while minimizing risks of novel coronavirus transmission as lockdown orders are lifted and ambulatory clinical services resume.Method: A collaborative panel of experts from major professional organizations developed provisional guidance for models of neuropsychological practice during the pandemic. The stakeholders included the American Academy of Clinical Neuropsychology/American Board of Clinical Neuropsychology, the National Academy of Neuropsychology, Society of Clinical neuropsychology (Division 40) of the American Psychological Association, the American Board of Professional Neuropsychology, and the American Psychological Association Services, Inc.Results: This guidance reviews the risks and benefits of conducting NP exams in several ways, including standard in-person, mitigated in-person, in-clinic teleneuropsychology (TeleNP), and in-home TeleNP. Strategies are provided for selecting the most appropriate model for a given patient, taking into account four levels of patient risk stratification, level of community risk and the concept of stepped models of care. Links are provided to governmental agency and professional organization resources as well as an outline and discussion of essential infection mitigation processes based on commonalities across recommendations from diverse federal, state, local, and professional organization recommendations.Conclusion: This document provides recommendations and guidance with analysis of the risks relative to the benefits of various models of neuropsychological care during the COVID-19 pandemic. These recommendations may be revised as circumstances evolve, with updates posted continuously on the IOPC website (https://iopc.online/).

Inter Organizational Practice Committee Guidance/Recommendation for Models of Care During the Novel Coronavirus Pandemic.

OBJECTIVE: The Inter Organizational Practice Committee (IOPC) convened a workgroup to develop guidance on models to provide neuropsychological (NP) care during the COVID-19 pandemic while minimizing risks of novel coronavirus transmission as lockdown orders are lifted and ambulatory clinical services resume. METHOD: A collaborative panel of experts from major professional organizations developed provisional guidance for models of neuropsychological practice during the pandemic. The stakeholders included the American Academy of Clinical Neuropsychology/American Board of Clinical Neuropsychology, the National Academy of Neuropsychology, Society of Clinical neuropsychology (Division 40) of the American Psychological Association, the American Board of Professional Neuropsychology, and the American Psychological Association Services, Inc. RESULTS: This guidance reviews the risks and benefits of conducting NP exams in several ways, including standard in-person, mitigated in-person, in-clinic teleneuropsychology (TeleNP), and in-home TeleNP. Strategies are provided for selecting the most appropriate model for a given patient, taking into account four levels of patient risk stratification, level of community risk, and the concept of stepped models of care. Links are provided to governmental agency and professional organization resources as well as an outline and discussion of essential infection mitigation processes based on commonalities across recommendations from diverse federal, state, local, and professional organization recommendations. CONCLUSION: This document provides recommendations and guidance with analysis of the risks relative to the benefits of various models of NP care during the COVID-19 pandemic. These recommendations may be revised as circumstances evolve, with updates posted continuously on the IOPC website (https://iopc.online/).