Validation of a Bayesian Diagnostic and Inferential Model for Evidence-Based Neuropsychological Practice.

OBJECTIVE: Evidence-based diagnostic methods have clinical and research applications in neuropsychology. A flexible Bayesian model was developed to yield diagnostic posttest probabilities from a single person's neuropsychological score profile by utilizing sample descriptive statistics of the test battery across diagnostic populations of interest. METHODS: Three studies examined the model's performance. One simulation examined estimation accuracy of true z-scores. A diagnostic accuracy simulation utilized descriptive statistics from two popular neuropsychological tests, the Wechsler Adult Intelligence Scale-IV (WAIS-IV) and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). The final simulation examined posterior predictive accuracy of scores to those reported in the WAIS manual. RESULTS: The model produced minimally biased z-score estimates (root mean square errors: .02-.18) with appropriate credible intervals (95% credible interval empirical coverage rates: .94-1.00). The model correctly classified 80.87% of simulated normal, mild cognitive impairment, and Alzheimer's disease cases using a four subtest WAIS-IV and the RBANS compared to accuracies of 60.67-65.60% from alternative methods. The posterior predictions of raw scores closely aligned to percentile estimates published in the WAIS-IV manual. CONCLUSION: This model permits estimation of posttest probabilities for various combinations of neuropsychological tests across any number of clinical populations with the principal limitation being the accessibility of applicable reference samples. The model produced minimally biased estimates of true z-scores, high diagnostic classification rates, and accurate predictions of multiple reported percentiles while using only simple descriptive statistics from reference samples. Future nonsimulation research on clinical data is needed to fully explore the utility of such diagnostic prediction models.

The potential of function-led virtual environments for ecologically valid measures of executive function in experimental and clinical neuropsychology.

The assessment of executive functions is an integral task of neuropsychological assessment. Traditional measures of executive function are often based on hypothetical constructs that may have little relevance to real-world behaviours. In fact, some traditional tests utilised today were not originally developed for clinical use. Recently, researchers have been arguing for a new generation of "function-led" neuropsychological assessments that are developed from directly observable everyday behaviours. Although virtual environments (VEs) have been presented as potential aides in enhancing ecological validity, many were modelled on construct-driven approaches found in traditional assessments. In the current paper, we review construct-driven and function-led VE-based neuropsychological assessments of executive functions. Overall, function-led VEs best represent the sorts of tasks needed for enhanced ecological validity and prediction of real-world functioning.

Scam Susceptibility: Thoughts on How to Initially Approach and Manage Patients in a Geriatric Psychiatry Setting.

Recent studies have demonstrated that older adults are more vulnerable to scams because of social isolation, economic affluence, mental disorders, struggles with technology, and cognitive impairments. In this report, we present the case of a 73-year-old man who fell victim to multiple scams over 8 years, leading to a loss of more than $100,000. We also discuss approaches to managing such patients in the outpatient setting. Susceptibility to scams is considered an increasing threat to the well-being of aging societies. The complexity of the problem and the scarcity of available studies make the management of such cases challenging for clinicians.

Preventing cognitive decline by reducing BP target (PCOT): A randomized, pragmatic, multi-health systems clinical trial.

BACKGROUND: Growing evidence suggests that intensive lowering of systolic blood pressure (BP) may prevent mild cognitive impairment (MCI) and dementia. However, current guidelines provide inconsistent recommendations regarding optimal BP targets, citing safety concerns of excessive BP lowering in the diverse population of older adults. We are conducting a pragmatic trial to determine if an implementation strategy to reduce systolic BP to <130 and diastolic BP to <80 mmHg will safely slow cognitive decline in older adults with hypertension when compared to patients receiving usual care. METHODS: The Preventing Cognitive Decline by Reducing BP Target Trial (PCOT) is an embedded randomized pragmatic clinical trial in 4000 patients from two diverse health-systems who are age ≥ 70 years with BP >130/80 mmHg. Participants are randomized to the intervention arm or usual care using a permuted block randomization within each health system. The intervention is a combination of team-based care with clinical decision support to lower home BP to <130/80 mmHg. The primary outcome is cognitive decline as determined by the change in the modified Telephone Interview for Cognitive Status (TICS-m) scores from baseline. As a secondary outcome, patients who decline ≥3 points on the TICS-m will complete additional cognitive assessments and this information will be reviewed by an expert panel to determine if they meet criteria for MCI or dementia. CONCLUSION: The PCOT trial will address the effectiveness and safety of hypertension treatment in two large health systems to lower BP targets to reduce risk of cognitive decline in real-world settings.

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).

Pregnancy-related stroke through a neuropsychology lens.

Objective: Stroke represents a primary cause of morbidity and mortality in pregnant and postpartum people. While pregnancy-related stroke has drawn increased attention in certain domains of health research (e.g. obstetrics, neurology), neuropsychology has yet to contribute to this literature. Given neuropsychologists' crucial role in stroke evaluation and rehabilitation efforts, our field is poised to offer insights into this important topic. Method: This review presents facts about pregnancy-related stroke most relevant for neuropsychologists, including epidemiology, risk factors, and mechanisms, alongside clinical considerations and open areas of inquiry. Structured in the format of a traditional neuropsychological evaluation, we walk readers through factors to consider in record review, the clinical interview, and providing feedback and recommendations. Conclusions: Pregnancy-related stroke can be associated with marked functional disability and decreased quality of life, and it is notable that prevalence rates are increasing. Presenting at a time when people are experiencing adjustment to a new phase of life, and most commonly affecting women of color and other vulnerable populations, pregnancy-related stroke is a unique condition warranting special attention within the broader stroke discourse. This review aims to serve as a starting point for neuropsychologists to better understand the unique attributes of pregnancy-related stroke through a neuropsychology lens. Beyond that, it aims to promote broader meaningful discussion of neuropsychology's role in women's health.

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.

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).

Patient Satisfaction with Telephone Neuropsychological Assessment.

OBJECTIVE: Telephone-based neuropsychological assessment (TeleNP) has been shown to be a valid alternative to in-person or video-based assessment. However, there is limited information regarding patients' satisfaction with TeleNP. This report presents satisfaction survey data from a diverse, clinical sample who received TeleNP during the coronavirus disease pandemic. METHOD: A total of 43 adult patients (30.2% Hispanic/Latinx, 32.6% Black), aged 24-75, who received TeleNP as part of routine clinical care participated in a postassessment satisfaction survey. Responses were analyzed qualitatively and via nonparametric comparisons based on demographic factors. RESULTS: Given options of "Not Satisfied," "Somewhat Satisfied," "Satisfied," or "Very Satisfied," 97.7% of patients reported satisfaction with their visit as well as the visit length, and 80% felt the visit met their needs ("Good" + "Very Good"). There were no significant differences in responses based on age, race/ethnicity, sex, or education. Endorsed advantages of TeleNP included "Avoid potential exposure to illness" and "Flexibility/Convenience," and 20% reported difficulty communicating, concentrating, and/or connecting with their provider as potential disadvantages. Although 67.7% reported a preference for in-person visits, 83.7% expressed interest in another "virtual visit" (telephone or video conference) with their provider. CONCLUSIONS: TeleNP was well received by the sample and demonstrated good patient satisfaction. These results in conjunction with other research supporting the validity of TeleNP support consideration of this assessment modality for patients who might not otherwise have access to in-person or video conference-based neuropsychological services. Based on these findings, a greater focus on rapport building may be warranted when utilizing TeleNP to enhance patients' sense of connection to their provider.

Cognitive Assessment via Telephone: A Scoping Review of Instruments.

OBJECTIVE: Telephone-based cognitive assessment (TBCA) has long been studied but less widely adopted in routine neuropsychological practice. Increased interest in remote neuropsychological assessment techniques in the face of the coronavirus 2019 (COVID-19) pandemic warrants an updated review of relevant remote assessment literature. While recent reviews of videoconference-based neuropsychological applications have been published, no updated compilation of empirical TBCA research has been completed. Therefore, this scoping review offers relevant empirical research to inform clinical decision-making specific to teleneuropsychology. METHOD: Peer-reviewed studies addressing TBCA were included. Broad search terms were related to telephone, cognitive, or neuropsychological assessment and screening. After systematic searching of the PubMed and EBSCO databases, 139 relevant articles were retained. RESULTS: In total, 17 unique cognitive screening measures, 20 cognitive batteries, and 6 single-task measures were identified as being developed or adapted specifically for telephone administration. Tables summarizing the identified cognitive assessments, information on diagnostic accuracy, and comparisons to face-to-face cognitive assessment are included in supplementary materials. CONCLUSIONS: Overall, literature suggests that TBCA is a viable modality for identifying cognitive impairment in various populations. However, the mode of assessment selected clinically should reflect an understanding of the purpose, evidence, and limitations for various tests and populations. Most identified measures were developed for research application to support gross cognitive characterization and to help determine when more comprehensive testing was needed. While TBCA is not meant to replace gold-standard, face-to-face evaluation, if appropriately utilized, it can expand scope of practice, particularly when barriers to standard neuropsychological assessment occur.

Factor Structure of the CVLT-II Short Form: Evidence From a Trauma-Exposed Sample.

The current study sought to investigate the factor structure of the California Verbal Learning Test-Second Edition (CVLT-II) Short Form in a trauma-exposed sample. We used confirmatory factor analysis to test four competing models proposed by Donders in a study investigating the CVLT-II Standard Form. Consistent with Donders, a four-factor model consisting of Attention Span, Learning Efficiency, Delayed Memory, and Inaccurate Memory was supported. These results confirm the latent structure of the CVLT-II holds for the CVLT-II in its Short Form as well as in a trauma-exposed sample. Findings are particularly important, given previous research indicating attention span and learning efficiency may underpin memory complaints in trauma-exposed individuals.

DSM Nosology Changes in Neuropsychological Diagnoses through the Years: A Look at ADHD and Mild Neurocognitive Disorder.

This article discusses the evolution of modern neuropsychology as a field and the concomitant changes in the Diagnostic and Statistical Manual of Mental Disorders (DSM). Themes in neuropsychology through the years will be highlighted alongside discussion of how neuropsychologists and neuropsychological research have influenced and have been influenced by the DSM. The DSM 5 attention-deficit/hyperactivity disorder and mild neurocognitive disorder will be used as examples to reflect the evolution of the disorders in relation to neuropsychology and the DSM. In particular, recent criticism and research regarding the nosology of both disorders and future directions will be presented in the context of neuropsychology and DSM. Finally, influence regarding changes to the DSM 5 on neuropsychology in clinical decision making, test selection, and diagnosis will be discussed.

Bimodal Virtual Reality Stroop for Assessing Distractor Inhibition in Autism Spectrum Disorders.

Executive functioning deficits found in college students with ASD may have debilitating effects on their everyday activities. Although laboratory studies tend to report unimpaired inhibition in autism, studies of resistance to distractor inhibition reveal difficulties. In two studies, we compared a Virtual Classroom task with paper-and-pencil and computerized Stroop modalities in typically developing individuals and individuals with ASD. While significant differences were not observed between ASD and neurotypical groups on the paper-and-pencil and computerized task, individuals with ASD performed significantly worse on the virtual task with distractors. Findings suggest the potential of the Virtual Classroom Bimodal Stroop task to distinguish between prepotent response inhibition (non-distraction condition) and resistance to distractor inhibition (distraction condition) in adults with high functioning autism.