Whether mild traumatic brain injury (mTBI) sustained by children results in persistent or recurrent symptoms, over and above those experienced by children who solely sustain mild extracranial injuries, remains debated. The current prospective longitudinal case-controlled study aimed to examine the relative influence of injury and noninjury factors on symptoms in preschool and primary school-aged children who sustained an mTBI or mild extracranial injury at least 8 month earlier.

Participants were 64 parents of children (31 mTBI, 33 trauma controls) who sustained injury between ages 2 and 12, whose postconcussive symptoms across the first 3-month postinjury have been previously described. The current study assessed postconcussive symptoms at 8 or more months postinjury (M = 24.3, SD = 8.4) and examined a range of injury and noninjury predictive factors.

At or beyond 8-month postinjury, symptom numbers in the mTBI group were comparable with those of the group who sustained mild extracranial injury. Educational attainment of parents (below or above high-school attainment level) was the only predictor of symptoms at follow-up, with preexisting learning difficulties approaching significance as a predictor.

While our earlier study found that mTBI was associated with symptoms at 3-month postinjury, follow-up at more than 8 months showed mTBI no longer predicted symptom reporting. While mTBI contributes significantly to the presence of symptoms in the first few months postinjury, researchers and healthcare practitioners in this field need to consider the potential impact of noninjury factors on persistent or recurrent symptoms after mTBI.

To develop and validate the Discrepancy-based Evidence for Loss of Thinking Abilities (DELTA) score. The DELTA score characterizes the strength of evidence for cognitive decline on a continuous spectrum using well-established psychometric principles for improving detection of cognitive changes.

DELTA score development used neuropsychological test scores from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort (two tests each from Memory, Executive Function, and Language domains). We derived regression-based normative reference scores using age, gender, years of education, and word-reading ability from robust cognitively normal ADNI participants. Discrepancies between predicted and observed scores were used for calculating the DELTA score (range 0–15). We validated DELTA scores primarily against longitudinal Clinical Dementia Rating-Sum of Boxes (CDR-SOB) and Functional Activities Questionnaire (FAQ) scores (baseline assessment through Year 3) using linear mixed models and secondarily against cross-sectional Alzheimer’s biomarkers.

There were 1359 ADNI participants with calculable baseline DELTA scores (age 73.7 ± 7.1 years, 55.4% female, 100% white/Caucasian). Higher baseline DELTA scores (stronger evidence of cognitive decline) predicted higher baseline CDR-SOB (ΔR2 = .318) and faster rates of CDR-SOB increase over time (ΔR2 = .209). Longitudinal changes in DELTA scores tracked closely and in the same direction as CDR-SOB scores (fixed and random effects of mean + mean-centered DELTA, ΔR2 > .7). Results were similar for FAQ scores. High DELTA scores predicted higher PET-Aβ SUVr (ρ = 324), higher CSF-pTau/CSF-Aβ ratio (ρ = .460), and demonstrated PPV > .9 for positive Alzheimer’s disease biomarker classification.

Data support initial development and validation of the DELTA score through its associations with longitudinal functional changes and Alzheimer’s biomarkers. We provide several considerations for future research and include an automated scoring program for clinical use.

Alcohol and cannabis remain the substances most widely used by adolescents. Better understanding of the dynamic relationship between trajectories of substance use in relation to neuropsychological functioning is needed. The aim of this study was to examine the different impacts of within- and between-person changes in alcohol and cannabis use on neuropsychological functioning over multiple time points.

Hierarchical linear modeling examined the effects of alcohol and cannabis use on neuropsychological functioning over the course of 14 years in a sample of 175 adolescents (aged 12–15 years at baseline).

Time-specific fluctuations in alcohol use (within-person effect) predicted worse performance across time on the Wechsler Abbreviated Scale of Intelligence Block Design subtest (B = −.05, SE = .02, p = .01). Greater mean levels of percent days of cannabis use across time (between-person effect) were associated with an increased contrast score between Delis–Kaplan Executive Function System Color Word Inhibition and Color Naming conditions (B = .52, SE = .14, p < .0001) and poorer performance over time on Block Design (B = −.08, SE = .04, p = .03). Neither alcohol and/nor cannabis use over time was associated with performance in the verbal memory and processing speed domains.

Greater cumulative cannabis use over adolescence may be linked to poorer inhibitory control and visuospatial functioning performance, whereas more proximal increases in alcohol consumption during adolescence may drive alcohol-related performance decrements in visuospatial functioning. Results from this prospective study add to the growing body of literature on the impact of alcohol and cannabis use on cognition from adolescent to young adulthood.

This study explored mental rotation (MR) performance in patients with myotonic dystrophy 1 (DM1), an inherited neuromuscular disorder dominated by muscular symptoms, including muscle weakness and myotonia. The aim of the study was twofold: to gain new insights into the neurocognitive mechanisms of MR and to better clarify the cognitive profile of DM1 patients. To address these aims, we used MR tasks involving kinds of stimuli that varied for the extent to which they emphasized motor simulation and activation of body representations (body parts) versus visuospatial imagery (abstract objects). We hypothesized that, if peripheral sensorimotor feedback system plays a pivotal role in modulating MR performance, then DM1 patients would exhibit more difficulties in mentally rotating hand stimuli than abstract objects.

Twenty-four DM1 patients and twenty-four age- and education-matched control subjects were enrolled in the study and were required to perform two computerized MR tasks involving pictures of hands and abstract objects.

The analysis of accuracy showed that patients had impaired MR performance when the angular disparities between the stimuli were higher. Notably, as compared to controls, patients showed slower responses when the stimuli were hands, whereas no significant differences when stimuli were objects.

The findings are coherent with the embodied cognition view, indicating a tight relation between body- and motor-related processes and MR. They suggest that peripheral, muscular, abnormalities in DM1 lead to alterations in manipulation of motor representations, which in turn affect MR, especially when body parts are to mentally rotate.

Relative to dementia, little is known about informant bias in mild cognitive impairment (MCI). We investigated the influence of informant demographic and relational characteristics on reports of everyday functioning using the Functional Activities Questionnaire (FAQ).

Four thousand two hundred eighty-four MCI participants and their informants from the National Alzheimer’s Coordinating Center Uniform Data Set were included. Informants were stratified according to cohabitation, relationship, visit frequency, race/ethnicity, education, and sex. Informant-rated Mean FAQ score was compared across these groups using univariate general linear model analyses and post hoc tests. Interactions were tested between informant variables. The predictive contribution of informant variables to FAQ score was explored using hierarchical linear regression. Analyses covaried for participant cognition using a cognitive composite score, and for participant age, sex, and depression.

After controlling for participant cognition, depression, age, and sex, informant-rated FAQ scores varied significantly across all informant variables (p’s < .005, ηp2’s ≤ .033) except sex and visit frequency. FAQ scores were higher (more impaired) among informants who cohabitate with the participant, among paid caregivers, spouses, and adult children, and among informants with higher levels of education. Scores were lowest (less impaired) among Black/African American informants as compared to all other racial/ethnic groups.

Demographic and relational characteristics of informants influence the perception and reporting of instrumental activities of daily living in adults with MCI. As everyday functioning is crucial for differential diagnosis and treatment outcome measurement, it is important to be aware of sources of informant report discrepancies.

The Everyday Cognition (ECog) scales measure cognitively based across domains of everyday abilities that are affected early in the course of neurodegenerative disorders such as Alzheimer’s disease. However, the degree to which the ECog may be differentially influenced by ethnic/racial background is unknown. This study evaluates measurement invariance of the ECog across non-Hispanic White (NHW), Black, and Hispanic individuals.

Participants included 1177 NHW, 243 Black, and 216 Hispanic older adults from the UC Davis Alzheimer’s Disease Center Cohort who had an ECog. Differential item functioning (DIF) for each ECog domain was evaluated separately for Black and Hispanic participants compared to NHW participants. An iterative multiple group confirmatory factor analysis approach for ordinal scores was used to identify items whose measurement properties differed across groups and to adjust scores for DIF. Adjusted scores were then evaluated to test whether they were more strongly associated with cognitive function (concurrent and longitudinal change in cognition) and brain volumes (measured by brain imaging).

Varying levels, patterns, and impacts of DIF were found across domains and groups. However, the impact of DIF was relatively small, and DIF effects on scores generally were less than one-half standard error of measurement. There were no meaningful differences in associations with cognition and brain injury between DIF adjusted and unadjusted scores.

Varying patterns of DIF were observed across the Black and Hispanic participants across select ECog domains. Overall, DIF effects were relatively small and did not change the relationship between the ECog and other indicators of disease.

Current measures of social cognition have shown inconsistent findings regarding the effects of executive function (EF) abilities on social cognitive performance in older adults. The psychometric properties of the different social cognition tests may underlie the disproportional overlap with EF abilities. Our aim was to examine the relationship between social cognition and EF abilities using the Edinburgh Social Cognition Test (ESCoT; Baksh, R.A., Abrahams, S., Auyeung, B., & MacPherson, S.E. (2018). The Edinburgh Social Cognition Test (ESCoT): Examining the effects of age on a new measure of theory of mind and social norm understanding. PloS One, 13(4), e0195818.), a test assessing four different aspects of social cognition: cognitive theory of mind (ToM), affective ToM, interpersonal understanding of social norms, and intrapersonal understanding of social norms.

We administered the ESCoT, EF measures of inhibition, set shifting, updating, and a measure of processing speed to 30 younger and 31 older adults. We also administered the Visual Perspective Taking task (VPT) as a ToM test thought to be reliant on EF abilities.

Better performance on cognitive ToM was significantly associated with younger age and slower processing speed. Better performance on affective ToM and ESCoT total score was associated with being younger and female. Better performance on interpersonal understanding of social norms was associated with being younger. EF abilities did not predict performance on any subtest of the ESCoT. In contrast, on the VPT, the relationship between age group and performance was fully or partially mediated by processing speed and updating.

These findings show that the ESCoT is a valuable measure of different aspects of social cognition and, unlike many established tests of social cognition, performance is not predicted by EF abilities.

Individuals with multiple sclerosis (MS) can have difficulty on tasks requiring social cognition, including Theory of Mind (ToM) and facial affect recognition. However, most research on social cognition in MS has focused on Relapsing–Remitting MS; less is known about deficits in individuals with progressive MS. This pilot study examined the social cognitive abilities of individuals with progressive MS on a dynamic social cognition task: The Awareness of Social Inference Test – Short Form (TASIT-S).

Fifteen individuals with progressive MS and 17 healthy controls performed TASIT-S, which includes 3 subtests assessing facial affect recognition and ToM.

The MS group was impaired on all subtests of TASIT-S, including Emotion Evaluation, Social Inference – Minimal, and Social Inference – Enriched, which examine facial affect recognition and ToM. Deficits on TASIT-S were significantly correlated with several cognitive abilities including working memory, learning memory, and verbal IQ.

Our findings suggest individuals with progressive MS were impaired across multiple social cognition domains as assessed by the TASIT-S. Furthermore, social cognitive abilities were related to cognitive abilities such as visuospatial memory and executive abilities. Results are discussed in terms of social cognition deficits in MS and how they relate to cognitive abilities.