Cross-validation of three Advanced Clinical Solutions performance validity tests: Examining combinations of measures to maximize classification of invalid performance.

Use of multiple performance validity tests (PVTs) may best identify invalid performance, though few studies have examined the utility and accuracy of combining PVTs. This study examined the following PVTs in the Advanced Clinical Solutions (ACS) package to determine their utility alone and in concert: Word Choice Test (WCT), Reliable Digit Span (RDS), and Logical Memory Recognition (LMR). Ninety-three veterans participated in clinical neuropsychological evaluations to determine presence of cognitive impairment; 25% of the performances were deemed invalid via criterion PVTs. Classification accuracy of the ACS measures was assessed via receiver operating characteristic curves, while logistic regressions determined utility of combining these PVTs. The WCT demonstrated superior classification accuracy compared to the two embedded measures of the ACS, even in veterans with cognitive impairment. The two embedded measures (even when used in concert) exhibited inadequate classification accuracy. A combined model with all three ACS PVTs similarly demonstrated little benefit of the embedded indicators over the WCT alone. Results suggest the ACS WCT has utility for detecting invalid performance in a clinical sample with likely cognitive impairment, though the embedded ACS measures (RDS and LMR) may have limited incremental utility, particularly in individuals with cognitive impairment.

Comparison of models of premorbid IQ estimation using the TOPF, OPIE-3, and Barona equation, with corrections for the Flynn effect.

OBJECTIVE: Premorbid estimates of intellectual functioning are a key to assessment. This study aimed to compare 3 common measures and assess their accuracy: the Test of Premorbid Functioning (TOPF), Oklahoma Premorbid Intelligence Estimate (OPIE-3), and what is commonly referred to as the Barona equation. We also sought to provide appropriate adjustment considering the Flynn effect. METHOD: The sample consisted of a cross-section of 189 outpatient veterans receiving neuropsychological assessment including the TOPF and Wechsler Adult Intelligence Scale, 4th ed. (WAIS-IV). Paired sample t tests assessed differences between IQ models. Correlations for all models and actual WAIS-IV Full Scale IQ (FSIQ) to establish which model best predicted variance in current IQ. Mean differences were evaluated to establish how closely the models approximated WAIS-IV FSIQ. RESULTS: The Barona equation estimated higher premorbid IQ than TOPF Simple Demographics Model; however, differences between the models were nonsignificant after a Flynn effect correction for the Barona equation (.23 IQ points per year). The OPIE-3 correlated with FSIQ but overestimated the FSIQ, demonstrating the Flynn effect. TOPF performance models (include word reading) characterized the variance of IQ scores best, but the Flynn-adjusted Barona equation had the smallest mean difference from the actual WAIS-IV FSIQ of any prediction model. CONCLUSION: Demographic models for premorbid IQ accurately estimate IQ in adult populations when normed on the test used to measure IQ, or when adjusted for the Flynn effect. A Flynn-corrected Barona score provided a more accurate estimation of WAIS-IV FSIQ than the TOPF or the OPIE-3. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Evaluating the accuracy of the Wechsler Memory Scale-Fourth Edition (WMS-IV) logical memory embedded validity index for detecting invalid test performance.

Embedded performance validity tests (PVTs) allow for continuous assessment of invalid performance throughout neuropsychological test batteries. This study evaluated the utility of the Wechsler Memory Scale-Fourth Edition (WMS-IV) Logical Memory (LM) Recognition score as an embedded PVT using the Advanced Clinical Solutions (ACS) for WAIS-IV/WMS-IV Effort System. This mixed clinical sample was comprised of 97 total participants, 71 of whom were classified as valid and 26 as invalid based on three well-validated, freestanding criterion PVTs. Overall, the LM embedded PVT demonstrated poor concordance with the criterion PVTs and unacceptable psychometric properties using ACS validity base rates (42% sensitivity/79% specificity). Moreover, 15-39% of participants obtained an invalid ACS base rate despite having a normatively-intact age-corrected LM Recognition total score. Receiving operating characteristic curve analysis revealed a Recognition total score cutoff of < 61% correct improved specificity (92%) while sensitivity remained weak (31%). Thus, results indicated the LM Recognition embedded PVT is not appropriate for use from an evidence-based perspective, and that clinicians may be faced with reconciling how a normatively intact cognitive performance on the Recognition subtest could simultaneously reflect invalid performance validity.

The Dot Counting Test adds up: Validation and response pattern analysis in a mixed clinical veteran sample.

OBJECTIVE: This study cross-validated the Dot Counting Test (DCT) as a performance validity test (PVT) among a mixed clinical veteran sample. Completion time and error patterns also were examined by validity group and cognitive impairment status. METHOD: This cross-sectional study included 77 veterans who completed the DCT during clinical evaluation. Seventy-four percent (N = 57) were classified as valid and 26% as noncredible (N = 20) via the Word Memory Test (WMT) and Test of Memory Malingering (TOMM). Among valid participants, 47% (N = 27) were cognitively impaired, and 53% (N = 30) were unimpaired. RESULTS: DCT performance was not significantly associated with age, education, or bilingualism. Seventy-five percent of the overall sample committed at least one error across the 12 stimulus cards; however, valid participants had a 27% higher rate of 0 errors, while noncredible participants had a 35% higher rate of ≥4 errors. Overall, noncredible individuals had significantly longer completion times, more errors, and higher E-scores. Conversely, those with cognitive impairment had longer completion times, but comparable errors to their unimpaired counterparts. Finally, DCT E-scores significantly predicted group membership with 83.1% classification accuracy and an area under the curve of .87 for identifying invalid performance. The optimal cut-score of 15 was associated with 70% sensitivity and 88% specificity. CONCLUSION: The DCT demonstrated good classification accuracy and sensitivity/specificity for identifying noncredible performance in this mixed clinical veteran sample, suggesting utility as a non-memory-based PVT with this population. Moreover, cognitive impairment significantly contributed to slower completion times, but not reduced accuracy.

Effects of body mass index and education on verbal and nonverbal memory.

We previously reported that higher education protects against executive dysfunction related to higher body mass index (BMI) in younger, but not older, adults. We now extend the previous analyses to verbal and nonverbal memory. Fifty-nine healthy, dementia-free community-dwelling adults ranging in age from 18 to 81 years completed the Hopkins Verbal Learning Test - Revised (HVLT-R) and the Brief Visuospatial Memory Test - Revised (BVMT-R). Self-reported years of education served as a proxy for cognitive reserve. We found that more highly educated individuals maintained their BVMT-R immediate recall performance across the range of BMI, but in less educated individuals, higher BMI was associated with worse performance. Our findings suggest that education may play a protective role against BMI-related nonverbal learning deficits, similar to previous reports for verbal memory and executive functioning. Results highlight the importance of considering educational background when determining the risk for BMI-related cognitive impairment in clinical settings.

The interactive effects of age, education, and BMI on cognitive functioning.

We examined the moderating effects of age and cognitive reserve on the relationship between body mass index (BMI) and processing speed, executive function, and working memory based on the literature suggesting that obese individuals perform more poorly on measures of these abilities. Fifty-six healthy, dementia-free community-dwelling older (mean age 65.72 ± 7.40) and younger (mean age 21.10 ± 2.33) adults completed a neuropsychological battery and reported height and weight. Mixed effects models were used to evaluate the interactive effects of age, education (a proxy for cognitive reserve), and BMI on cognitive scores. Higher education was protective for executive deficits in younger, but not older adults. Age differences in executive functions were reduced at higher education levels but increased in individuals with higher BMI. Results suggest the inter-relationships between cognitive reserve - as measured by education - and BMI differ across age, and that obesity may accelerate the cognitive aging process.

Depressive symptom severity is associated with increased cortical thickness in older adults.

OBJECTIVE: Structural neuroimaging studies in older adults have consistently shown volume reductions in both major and subthreshold depression. Cortical thickness, another measure of brain structure, has not been well studied in this population. We examined cortical thickness in older adults across a range of depressive symptom (DS) severity. METHODS: Forty-three community-dwelling older adults (mean age = 68.80 ± 7.00 years) underwent magnetic resonance imaging. Based on a priori hypotheses, we examined cortical thickness in regions of interest in the rostral anterior cingulate, orbitofrontal cortex, middle frontal gyrus, and isthmus cingulate using multiple linear regressions with depression questionnaire scores as the independent variable and age, sex, and mean hemispheric thickness as covariates. We also performed an exploratory vertex-wise analysis. RESULTS: After correction for multiple comparisons, we found an association between increased DSs and greater cortical thickness in the right isthmus cingulate (F(1, 38) = 8.09, false discovery rate corrected p = 0.028; R(2) = 35.78) in the region of interest analysis and in the left precuneus (cluster size = 413, p = 0.00002) in the vertex-wise analysis. CONCLUSIONS: Older adults with higher DSs also have greater cortical thickness in the isthmus cingulate and precuneus, areas important for emotion regulation and self-referential processing. Additional research is needed to elucidate the mechanisms and potential clinical significance underlying this relationship.

Impact of Education on Memory Deficits in Subclinical Depression.

Elevated depressive symptoms are associated with cognitive deficits, while higher education protects against cognitive decline. This study was conducted to test if education level moderates the relationship between depressive symptoms and cognitive function. Seventy-three healthy, dementia-free adults aged 18-81 completed neuropsychological tests, as well as depression and anxiety questionnaires. Controlling for age, sex, and state anxiety, we found a significant interaction of depressive symptoms and education for immediate and delayed verbal memory, such that those with a higher education level performed well regardless of depressive symptomatology, whereas those with lower education and high depressive symptoms had worse performance. No effects were found for executive functioning or processing speed. Results suggest that education protects against verbal memory deficits in individuals with elevated depressive symptoms. Further research on cognitive reserve in depression-related cognitive deficits and decline is needed to understand the mechanisms behind this phenomenon.

Age Differences in Prefrontal Surface Area and Thickness in Middle Aged to Older Adults.

Age is associated with reductions in surface area and cortical thickness, particularly in prefrontal regions. There is also evidence of greater thickness in some regions at older ages. Non-linear age effects in some studies suggest that age may continue to impact brain structure in later decades of life, but relatively few studies have examined the impact of age on brain structure within middle-aged to older adults. We investigated age differences in prefrontal surface area and cortical thickness in healthy adults between the ages of 51 and 81 years. Participants received a structural 3-Tesla magnetic resonance imaging scan. Based on a priori hypotheses, primary analyses focused on surface area and cortical thickness in the dorsolateral prefrontal cortex, anterior cingulate cortex, and orbitofrontal cortex. We also performed exploratory vertex-wise analyses of surface area and cortical thickness across the entire cortex. We found that older age was associated with smaller surface area in the dorsolateral prefrontal and orbitofrontal cortices but greater cortical thickness in the dorsolateral prefrontal and anterior cingulate cortices. Vertex-wise analyses revealed smaller surface area in primarily frontal regions at older ages, but no age effects were found for cortical thickness. Results suggest age is associated with reduced surface area but greater cortical thickness in prefrontal regions during later decades of life, and highlight the differential effects age has on regional surface area and cortical thickness.

Unique and interactive effect of anxiety and depressive symptoms on cognitive and brain function in young and older adults.

OBJECTIVE: Depression and anxiety and are associated with cognitive deficits and brain changes, especially in older adults. Despite the frequent co-occurrence of these conditions, cognitive neuroscience studies examining comorbid depression and anxiety are limited. The goal of the present study was to examine the unique and combined effect of depressive and anxiety symptoms on cognitive and brain functioning in young and older adults. METHODS: Seventy-one healthy, community-dwelling adults between the ages of 18 and 81 were administered a neuropsychological battery and completed the Center for Epidemiologic Studies Depression Scale (CES-D) and the trait form of the State-Trait Anxiety Inventory (STAI-T). A subset of 25 participants also underwent functional magnetic resonance imaging (fMRI) scanning while completing the n-back working memory task. RESULTS: Total depressive symptoms, depressed mood symptoms, and somatic symptoms were associated with deficits in speed, working memory and executive functions, especially in older adults. Symptoms of lack of well-being were not associated with any neuropsychological test. Anxiety was associated with better attention and working memory. Moreover, anxiety modified the relationship between depressive symptoms and executive functioning in older adults, as elevated depressive symptoms were associated with worse performance at low levels of anxiety, but not at higher anxiety levels. Similarly, analysis of fMRI data showed that total depressive symptoms and depressed mood symptoms were associated with decreased activity in the superior frontal gyrus at low anxiety levels, but not at high anxiety levels. CONCLUSION: Results confirm previous reports that subthreshold depression and anxiety impact cognitive and brain functioning and suggest that the interaction of depression and anxiety results in distinct cognitive and brain changes. Findings highlight the importance of assessing and controlling for symptoms of depression and anxiety in research studies of either condition.

Depressive symptoms, symptom dimensions, and white matter lesion volume in older adults: a longitudinal study.

OBJECTIVE: White matter lesions (WMLs) are associated with depressive symptoms in older adults. However, it is not clear whether different symptom dimensions of depression have distinct associations with WMLs. The authors assessed the longitudinal relationships of the Center for Epidemiologic Studies Depression Scale (CES-D) total score and subscale scores with WML volume in the Baltimore Longitudinal Study of Aging. METHODS: Using a prospective observational design, the authors examined WML volume and depressive symptoms at 1- to 2-year intervals for up to 9 years in 116 dementia-free participants (mean age: 68.78 ± 7.68). At each visit, depressive symptoms were measured with the CES-D and WML volumes were quantified from structural magnetic resonance imaging scans. RESULTS: Higher CES-D full-scale scores were associated with greater WML volume and with a faster rate of volume increases over time in women, especially at older ages. Higher depressed mood and somatic symptoms subscale scores were associated with greater increases in WML volume over time at older ages. In men, depressed mood and somatic symptoms were associated with larger WML volume at baseline. CONCLUSION: Findings confirm an association between WMLs and depressive symptoms and suggest that depressed mood and somatic symptoms may be stronger predictors of depression-related brain changes than lack of well-being. Age and sex may moderate the relationships between depressive symptoms and WMLs. Understanding particular symptom dimensions of depressive symptoms has implications for treatment and may lead to targeted interventions and more precise knowledge of mechanisms underlying depression.