Methamphetamine (MA) dependence contributes to neurotoxicity and neurocognitive deficits. Although combined alcohol and MA misuse is common, how alcohol consumption relates to neurocognitive performance among MA users remains unclear. We hypothesized that alcohol and MA use would synergistically diminish neurocognitive functioning, such that greater reported alcohol consumption would exert larger negative effects on neurocognition among MA-dependent individuals compared to MA-nonusing persons.

Eighty-seven MA-dependent (MA+) and 114 MA-nonusing (MA−) adults underwent neuropsychological and substance use assessments. Linear and logistic regressions examined the interaction between MA status and lifetime average drinks per drinking day on demographically corrected global neurocognitive T scores and impairment rates, controlling for recent alcohol use, lifetime cannabis use, WRAT reading performance, and lifetime depression.

MA+ displayed moderately higher rates of impairment and lower T scores compared to MA−. Lifetime alcohol use significantly interacted with MA status to predict global impairment (ORR = 0.70, p = .003) such that greater lifetime alcohol use increased likelihood of impairment in MA−, but decreased likelihood of impairment in MA+. Greater lifetime alcohol use predicted poorer global T scores among MA− (b = −0.44, p = .030) but not MA+ (b = 0.08, p = .586).

Contrary to expectations, greater lifetime alcohol use related to reduced risk of neurocognitive impairment among MA users. Findings are supported by prior research identifying neurobiological mechanisms by which alcohol may attenuate stimulant-driven vasoconstriction and brain thermotoxicity. Replication and examination of neurophysiologic mechanisms underlying alcohol use in the context of MA dependence are warranted to elucidate whether alcohol confers a degree of neuroprotection.

Use latent class analysis (LCA) to identify patterns of cognitive functioning in a sample of older adults with clinical depression and without dementia and assess demographic, psychiatric, and neurobiological predictors of class membership.

Neuropsychological assessment data from 121 participants in the Alzheimer’s Disease Neuroimaging Initiative-Depression project (ADNI-D) were analyzed, including measures of executive functioning, verbal and visual memory, visuospatial and language functioning, and processing speed. These data were analyzed using LCA, with predictors of class membership such as depression severity, depression and treatment history, amyloid burden, and APOE e4 allele also assessed.

A two-class model of cognitive functioning best fit the data, with the Lower Cognitive Class (46.1% of the sample) performing approximately one standard deviation below the Higher Cognitive Class (53.9%) on most tests. When predictors of class membership were assessed, carrying an APOE e4 allele was significantly associated with membership in the Lower Cognitive Class. Demographic characteristics, age of depression onset, depression severity, history of psychopharmacological treatment for depression, and amyloid positivity did not predict class membership.

LCA allows for identification of subgroups of cognitive functioning in a mostly cognitively intact late life depression (LLD) population. One subgroup, the Lower Cognitive Class, more likely to carry an APOE e4 allele, may be at a greater risk for subsequent cognitive decline, even though current performance on neuropsychological testing is within normal limits. These findings have implications for early identification of those at greatest risk, risk factors, and avenues for preventive intervention.

The present study investigated the ability of the Multilingual Naming Test (MINT), a picture naming test recently added to the National Alzheimer’s Coordinating Center’s (NACC) Uniform Data Set neuropsychological test battery, to detect naming impairment (i.e., dysnomia) across stages of Alzheimer’s disease (AD).

Data from the initial administration of the MINT were obtained on NACC participants who were cognitively normal (N = 3,981) or diagnosed with mild cognitive impairment (N = 852) or dementia (N = 1,148) with presumed etiology of AD. Dementia severity was rated using the Clinical Dementia Rating (CDR) scale.

Cross-sectional multiple regression analyses revealed significant effects of diagnostic group, sex, education, age, and race on naming scores. Planned comparisons collapsing across age and education groups revealed significant group differences in naming scores across levels of dementia severity. ROC curve analyses showed good diagnostic accuracy of MINT scores for distinguishing cognitively normal controls from AD dementia, but not from MCI. Within the cognitively normal group, there was a robust interaction between age and education such that naming scores exhibited the most precipitous drop across age groups for the least educated participants. Additionally, education effects were stronger in African-Americans than in Whites (a race-by-education interaction), and race effects were stronger in older than in younger age groups (a race-by-age interaction).

The MINT successfully detects naming deficits at different levels of cognitive impairment in patients with MCI or AD dementia, but comparison to age, sex, race, and education-corrected norms to determine impairment is essential.

To determine the prevalence of low scores for two neuropsychological tests with five total scores that evaluate learning and memory functions.

N = 5402 healthy adults from 11 countries in Latin America and the commonwealth of Puerto Rico were administered the Rey–Osterrieth Complex Figure (ROCF) and the Hopkins Verbal Learning Test (HVLT-R). Two-thirds of the participants were women, and the average age was 53.5 ± 20.0 years. Z-scores were calculated for ROCF Copy and Memory scores and HVLT-R Total Recall, Delayed Recall, and Recognition scores, adjusting for age, age2, sex, education, and interaction variables if significant for the given country. Each Z-score was converted to a percentile for each of the five subtest scores. Each participant was categorized based on his/her number of low scoring tests in specific percentile cutoff groups (25th, 16th, 10th, 5th, and 2nd).

Between 57.3% (El Salvador) and 64.6% (Bolivia) of the sample scored below the 25th percentile on at least one of the five scores. Between 27.1% (El Salvador) and 33.9% (Puerto Rico) scored below the 10th percentile on at least one of the five subtests. Between 5.9% (Chile, El Salvador, Peru) and 10.3% (Argentina) scored below the 2nd percentile on at least one of the five scores.

Results are consistent with other studies that found that low scores are common when multiple neuropsychological outcomes are evaluated in healthy individuals. Clinicians should consider the higher probability of low scores when evaluating learning and memory using various sets of scores to reduce false-positive diagnoses of cognitive deficits.

With increasing numbers of children growing up with conditions that are associated with acquired brain injury, efficient neuropsychological screening for cognitive deficits is pivotal. Brief self-report measures concerning daily complaints can play an important role in such screening. We translated and adapted the pediatric perceived cognitive functioning (PedsPCF) self- and parent-report item bank to Dutch. This study presents (1) psychometric properties, (2) a new short form, and (3) normative data for the short form.

A general population sample of children and parents was recruited. Dimensionality of the PedsPCF was assessed using confirmatory factor analyses and exploratory bifactor analyses. Item response theory (IRT) modeling was used to evaluate model fit of the PedsPCF, to identify differential item functioning (DIF), and to select items for the short form. To select short-form items, we also considered the neuropsychological content of items.

In 1441 families, a parent and/or child participated (response rate 66% at family level). Assessed psychometric properties were satisfactory and the predominantly unidimensional factor structure of the PedsPCF allowed for IRT modeling using the graded response model. One item showed meaningful DIF. For the short form, 10 items were selected.

In this first study of the PedsPCF outside the United States, studied psychometric properties of the translated PedsPCF were satisfactory, and allowed for IRT modeling. Based on the IRT analyses and the content of items, we proposed a new 10-item short form. Further research should determine the relation of PedsPCF outcomes with neurocognitive measures and its ability to facilitate neuropsychological screening in clinical practice.

Few independent studies have examined the psychometric properties of the NIH Toolbox Cognition Battery (NIHTB-CB) in older adults, despite growing interest in its use for clinical purposes. In this paper we report the test–retest reliability and construct validity of the NIHTB-CB, as well as its agreement or concordance with traditional neuropsychological tests of the same construct to determine whether tests could be used interchangeably.

Sixty-one cognitively healthy adults ages 60–80 completed “gold standard” (GS) neuropsychological tests, NIHTB-CB, and brain MRI. Test–retest reliability, convergent/discriminant validity, and agreement statistics were calculated using Pearson’s correlations, concordance correlation coefficients (CCC), and root mean square deviations.

Test–retest reliability was acceptable (CCC = .73 Fluid; CCC = .85 Crystallized). The NIHTB-CB Fluid Composite correlated significantly with cerebral volumes (r’s = |.35−.41|), and both composites correlated highly with their respective GS composites (r’s = .58−.84), although this was more variable for individual tests. Absolute agreement was generally lower (CCC = .55 Fluid; CCC = .70 Crystallized) due to lower precision in fluid scores and systematic overestimation of crystallized composite scores on the NIHTB-CB.

These results support the reliability and validity of the NIHTB-CB in healthy older adults and suggest that the fluid composite tests are at least as sensitive as standard neuropsychological tests to medial temporal atrophy and ventricular expansion. However, the NIHTB-CB may generate different estimates of performance and should not be treated as interchangeable with established neuropsychological tests.

Social cognitive deficits are an important consequence of multiple sclerosis (MS), yet our understanding of how these deficits manifest in progressive MS is currently limited. To this end, we examined theory of mind (ToM) ability in a sample of individuals with progressive MS using an ecologically valid virtual assessment tool that allows for delineation of cognitive ToM (inferring thoughts and intentions of others) from affective ToM (inferring emotions of others).

We compared 15 individuals with progressive MS and 15 healthy controls on their ToM ability using the Virtual Assessment of Mentalising Ability. We found that, relative to healthy controls, participants with progressive MS were impaired in cognitive ToM, but not in affective ToM. Furthermore, we found that the MS participants’ deficits in cognitive ToM were mediated by their general cognitive ability such that poor cognitive ToM ability in MS was explained by poor performance on tests of memory and processing speed.

Our findings demonstrate that ToM deficits in progressive MS may be limited to cognitive ToM, while affective ToM is conserved. This could be attributable to the MS-related deficits in general cognitive ability, which appear to negatively affect only the cognitive component of ToM.