To develop regression-based normative data for a set of widely used neuropsychological tests and to provide a freely accessible normative data calculator for use in Buenos Aires, Argentina.

Participants were drawn from a large clinical dataset and selected to reflect preserved global cognition, intact memory performance, and functional independence. Regression-based norms were developed for the Rey Auditory Verbal Learning Test, Verbal Fluency, Trail Making Test, and Digit Span tasks. For each model, predictors included age, sex, and years of education, as well as polynomial terms and interaction effects; final models were obtained via stepwise backward elimination procedures. Model assumptions were evaluated, and predictive performance was estimated using 10-fold cross-validation.

393 participants met inclusion criteria. Age was negatively associated with verbal memory, fluency, and executive function, whereas higher educational attainment was associated with better performance. Women outperformed men in verbal memory and phonological fluency. Demographic variables explained between 2% and 23% of variance across tests. An open-access calculator was developed to facilitate individualized normative estimation in clinical settings.

This study provides locally developed, regression-based norms for neuropsychological assessment in Buenos Aires – Argentina, addressing the lack of culturally relevant norms and limitations of traditional methods.

Despite its clinical relevance, emotion recognition is difficult to assess in culturally, linguistically, and educationally diverse populations due to a lack of adapted tools.

In Part I, we adapted the Test d’Identification des Émotions Faciales (TIE-93), an emotion recognition test, from French into Dutch, Moroccan-Arabic, and Turkish. In Part II, the translated versions were piloted.

The procedures and challenges encountered during the translation and adaptation process are reported qualitatively. The translated versions were piloted, with performance on the TIE-93 compared across Dutch (n = 13), Surinamese (n = 15), Moroccan (n = 14), and Turkish (n = 16) healthy control groups. Second, we compared Surinamese, Moroccan, and Turkish healthy controls to matched patients (n = 20) with subjective cognitive decline, mild cognitive impairment, or dementia. Third, we compared Moroccan healthy controls from the Netherlands and France (n = 20).

The challenges encountered during the translation process highlighted the difficulty of translating tests of social cognition, as emotional concepts are intricately linked to culture. As a result, literal translations often failed to maintain meaning equivalence; therefore, adaptations were necessary. Seventy-eight participants were included for piloting, and exploratory analyses were conducted. Healthy controls significantly outperformed patients, and Moroccan healthy controls from the Netherlands, who tested in their native language, significantly performed better than those from France.

Results highlight challenges in cross-cultural test adaptation in social cognition, as achieving conceptual equivalence was complicated by cultural and linguistic nuances in emotion-related terms. Nevertheless, the TIE-93 shows clinical potential; this should be examined in larger samples.

The goal of the present study is to understand whether youth with Noonan Syndrome Spectrum Disorder (NSSD) are at increased risk of neurocognitive difficulties when living in resource depleted communities.

Youth (5–17 years; Mage = 9.48 years) with NSSD (n = 140) and unaffected youth (4–15 years; Mage = 9.63 years; n = 85) were included. We ascertained the Child Opportunity Index Health and Environment Index (COI H/E) national-level Z-scores and assessed academic achievement and executive function. Multiple regressions were run to analyze the effects of diagnosis (whether the child had NSSD), COI H/E Z-scores, and diagnosis × COI H/E Z-score interaction on academic achievement (i.e., word reading, math, spelling, and sentence comprehension) and executive skills (i.e., performance-based working memory and processing speed and parent-rated measure of daily executive skills).

Diagnosis was a significant predictor in each model. COI H/E Z-score was a significant predictor of spelling and a marginally significant predictor of sentence comprehension scores. There was a significant diagnosis × COI H/E Z-score interaction for working memory, and marginally significant interactions for spelling and sentence comprehension scores. Higher H/E Z-scores were associated with better working memory in the NSSD group and better academic achievement in the unaffected group.

While the effects of NSSD are large on all assessed domains, there is an additional burden of resource depletion on working memory abilities of youth with NSSD. Academic achievement in the NSSD group was lower than the unaffected group across resource-depleted/enriched environments, demonstrating the profound effects of NSSD on academic functioning.

The cognitive-behavioral model of body dysmorphic disorder (BDD) implicates impaired cognition; yet existing evidence of cognitive impairment in the disorder is often inconsistent. To date, cognitive performance in BDD has not been measured utilizing the Wechsler Adult Intelligence Scale, Fourth Edition (WAIS-IV), a gold standard cognitive assessment in clinical settings. Accordingly, this study compared WAIS-IV performance between individuals with BDD and healthy controls.

Participants included 59 BDD patients and 56 controls. Cognitive performance was evaluated via the WAIS-IV, and clinical characteristics of the BDD group were examined via multiple clinician and self-report questionnaires.

The BDD group demonstrated significantly poorer performance compared to the control group in the WAIS-IV index and subtests that reflect processing speed abilities (Processing Speed Index: d = −0.55, 95% CI [−0.92, −0.18], Symbol Search: d = −0.70, 95% CI [−1.07, −0.32], Coding: d = −0.79, 95% CI [−1.17, −0.41]), yet other indices were not significantly different. These impairments were not correlated with anxiety or BDD-YBOCS symptom severity. Reduced overall cognitive performance was primarily driven by impairments in processing speed.

The study suggests that in BDD, processing speed is notably lower than other index scores, falling in the low average range. This may reflect difficulties with rapid visual processing, attention to detail, or motor speed. Performance in domains reflective of reasoning and verbal functioning were unimpaired relative to controls. This selective cognitive pattern in BDD may be driven by increased cognitive load associated with perfectionistic traits. This has clinical implications for cognitive-behavioral treatment.

Neuropsychological (NP) tests are multi-domain in execution. Reliance on a single score representing specific domains obscures the detection of subtle cognitive changes and increases risk of inaccurate assessment. Rooted in the Boston Process Approach (BPA), the Framingham Heart Study (FHS) captures multi-dimensional errors and process features within and across NP tests. We examined these BPA variables in community-dwelling older adults.

We analyzed data from 2363 dementia-free participants aged 60 and above. Exploratory and confirmatory factor analyses used Kemeny covariance structures. Measurement invariance was estimated across age, sex, and education groups. We assessed the impact of demographics on latent factors, and the ability of these factors to predict future conversion to all-cause dementia. We trained machine learning (ML) models to compare NP and BPA data.

Participants were older adults (mean age 71.5 ± 8.7 years), primarily female (54.2%), and non-Hispanic White (96.5%). The bifactor model was the only model with adequate fit (CFI = 0.96, RMSEA = 0.03). General and specific factors captured ability for accurate and strategic responses, test-specific variance, and nuanced executive and semantic processes distributed across tests. Higher general ability and stronger verbatim story recall were associated with a reduced likelihood of developing all-cause dementia (general: OR = 0.15, 95% CI [0.12–0.86]; recall: OR = 0.24, 95% CI [0.23–0.90]) over a median of 5.2 years. With NP/BPA data, ML models identified >99% of 222 converters.

This study highlights the strengths of NP/BPA data. Multidimensional cognitive features may enhance sensitivity to early changes predictive of incipient dementia.

Assessment for children with acquired brain injury (ABI) often includes measures of preinjury functioning; however, there is limited understanding of how social determinants of health (SDOH) are associated with preinjury measures. This study investigated the association of the Area Deprivation Index (ADI) with measures of preinjury functioning.

196 caregivers of children with ABI completed the Adaptive Behavioral Assessment System-3rd Edition (ABAS-III), and 188 children with ABI completed the Wide Range Achievement Testing-4th Edition or 5th Edition word reading subtest (WRAT-Word Reading). Two linear regressions were performed: 1) ADI × WRAT-Reading and 2) ADI × ABAS-III.

The ADI demonstrated significant associations with the ABAS-III and WRAT-Reading scores. Children in lower deprivation areas demonstrated higher preinjury functioning and word reading scores.

These findings have implications for recovery from brain injury, considerations for incorporating social determinants of health into neuropsychological evaluations, and implications for clinician interpretation of a child’s testing.

Episodic memory decline is among the earliest and most prominent cognitive changes observed in both normal aging and Alzheimer’s disease. The Free and Cued Selective Reminding Test (FCSRT) enhances differentiation of memory deficits through controlled semantic encoding and cue-based retrieval. However, culturally appropriate normative data for Mandarin-speaking adult populations have been lacking. This study aimed to establish normative data for the Taiwan version of the FCSRT (T-FCSRT), examine demographic effects on test performance, and evaluate its psychometric properties and clinical applicability.

A total of 372 cognitively healthy adults aged 45–86 years were recruited using stratified sampling to reflect the Taiwanese population across sex, age, and education levels. Participants completed the T-FCSRT, and regression-based analyses were used to adjust for demographic effects. Reliability and validity were assessed using test–retest data and correlations with established neuropsychological measures.

All T-FCSRT core indices were significantly influenced by age and education level, whereas sex effects were confined to immediate and delayed free-recall measures. The T-FCSRT demonstrated good test–retest reliability, criterion-related and construct validity, and regression-based percentile norms that provide population-representative benchmarks.

The T-FCSRT demonstrates strong psychometric properties and provides culturally appropriate normative data for Mandarin-speaking adults in Taiwan. These findings support its utility for clinical assessment and research on episodic memory, enabling more accurate differentiation between normal and pathological aging.

Negative metacognitive bias, underestimating one’s abilities, is consistently linked to psychopathology, yet prior work has often collapsed anxiety/stress and depression or examined depression alone. We tested the unique associations of depression, anxiety/stress, and posttraumatic stress disorder (PTSD) with metacognitive bias in post-9/11 veterans.

Veterans from the Translational Research Center for TBI and Stress Disorders (TRACTS, N = 601; 90% male; M age = 34.31) completed 21-item Depression, Anxiety, and Stress Scale (depression, anxiety/stress), CAPS-IV (PTSD), WHODAS-II Understanding/Communicating (self-reported cognition), and an objective cognition composite (assessment of executive function, memory, and attention). Bias was computed as self-report minus objective cognition. A subsample (n = 239) repeated testing ∼2 years later.

At time 1, more negative metacognitive bias was associated with greater anxiety/stress (r = −.41), depressive (r = −.37), and PTSD symptoms (r = −.31) (all ps < .001). In a simultaneous model, anxiety/stress (β = −.29 p < .001) and depressive symptoms (β = −.12, p = .045) explained unique variance though PTSD symptoms did not (β = −.03, p = .524). Longitudinally, changes in bias were uniquely predicted by symptom changes in anxiety/stress (β = −.33, p < .001) and PTSD (β = −.16, p = .001), but not depression (β = −.10, p = .137).

Across cross-sectional and longitudinal models, anxiety/stress emerged as the most consistent correlate of metacognitive bias, with weaker contributions from depression and PTSD. These findings highlight the importance of assessing the self-report versus objective cognition gap and the need to further understand the temporal relationship between anxiety/stress and metacognitive bias.

The quest for non-invasive and cost-effective biomarkers for mild cognitive impairment (MCI) and Alzheimer’s disease (AD) has led to growing interest in resting-state functional magnetic resonance imaging (MRI). This study examined associations between whole-brain functional connectivity measures and cognitive performance across a spectrum of cognitive aging.

A total of 108 older adults (mean age 74.1 ± 5.7 years), comprised of cognitively intact individuals, participants with amnestic MCI, and those with mild dementia due to probable AD, underwent high-resolution structural MRI and resting-state functional MRI scans and cognitive testing with the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Functional connectivity values were derived from a 17-network brain parcellation. Correlations were established between network connectivity values and RBANS Index scores.

Analyses revealed that lower RBANS Attention Index and Total Scale scores were significantly associated with increased connectivity between the ventral attention, central executive network, and limbic and default mode networks. Lower RBANS total scores were also associated with functional connectivity strength between the dorsal default mode networks and lateral frontoparietal regions of the central executive network, with increased connectivity observed across the dementia spectrum (Intact-MCI-AD).

These findings suggest that aberrant and potentially compensatory increases in functional connectivity may be linked to cognitive decline, supporting the utility of resting-state functional MRI as a promising biomarker for MCI and AD.

This study aimed to make a head-to-head comparison of the diagnostic accuracy and cross-cultural applicability of abbreviated 20-item versions of the Copenhagen Cross-Linguistic Naming Test (C-CLNT20) and Naming Assessment in Multicultural Europe (NAME20).

The present study was conducted in a multicultural and multilingual patient sample from memory clinics across five European countries. Receiver operating characteristic curve analysis was used to assess the diagnostic accuracy of C-CLNT20 and NAME20 in classifying dementia and mild cognitive impairment (MCI). Binary logistic regression analysis was performed to evaluate the influence of demographic and cultural factors on diagnostic accuracy.

C-CLNT20 and NAME20 showed acceptable diagnostic accuracy for dementia with areas under the curve (AUC) of .75 and .82, respectively, but had low accuracy for MCI (AUC of .64 and .62, respectively). Compared to C-CLNT20, NAME20 had slightly higher, but statistically non-significant, AUCs for dementia in both in the full sample and in participants with immigrant background. The diagnostic accuracy of the C-CLNT20 and NAME20 was not significantly influenced by education and immigrant status in the full sample, or by acculturation and use of an interpreter in participants with immigrant background.

Both C-CLNT20 and NAME20 are promising brief alternatives to the full versions of the naming tests when time is limited. They also present a promising alternative to other established naming tests by maintaining diagnostic accuracy while showing minimal cross-cultural and cross-linguistic bias.

This study examines how multiple dimensions of socio-emotional well-being relate to cognitive functioning in older adults, and whether the associations vary by cognitive status, depression, and socio-demographic factors.

Data from the Harmonized Cognitive Assessment Protocol of the Survey of Health, Ageing and Retirement in Europe (n = 2,650; mean age = 76; 54.5% females) were used to test associations between life satisfaction, meaning in life, social connectedness, and loneliness with global, domain-specific cognitive performance, and informant-rated cognitive decline.

Linear mixed models, with individuals nested within five countries, found that higher life satisfaction, meaning in life, and social connectedness were associated with better cognitive outcomes, whereas greater loneliness was associated with worse performance and greater informant-rated decline. The largest effect sizes were observed for meaning in life (median β = .10) and loneliness (median β = −.09) across cognitive measures. The associations generally remained significant adjusting for well-known clinical (e.g., diabetes), behavioral (e.g., physical inactivity), and psychological (depressive symptomatology) risk factors for dementia. Moderation and sensitivity analyses suggested that associations with global cognition hinged on the inclusion of participants classified with cognitive impairment, while some domain-specific associations (e.g., loneliness and episodic memory) were observed only in individuals without cognitive impairment. Overall, evidence for moderation by cognitive status, depression and age was limited, and no moderation was observed for sex or education.

The results underscore the importance of socio-emotional well-being in cognitive aging and highlight the need for longitudinal research to clarify mechanistic pathways and inform targeted interventions.