We partner with a secure submission system to handle manuscript submissions.
Please note:
You will need an account for the submission system, which is separate to your Cambridge Core account. For login and submission support, please visit the
submission and support pages.
Please review this journal's author instructions, particularly the
preparing your materials
page, before submitting your manuscript.
Click Proceed to submission system to continue to our partner's website.
To save this undefined to your undefined account, please select one or more formats and confirm that you agree to abide by our usage policies. If this is the first time you used this feature, you will be asked to authorise Cambridge Core to connect with your undefined account.
Find out more about saving content to .
To send this article to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
To identify novel associations between modifiable physical and health variables, Alzheimer’s disease (AD) biomarkers, and cognitive function in a cohort of older adults with Mild Cognitive Impairment (MCI).
Methods:
Metrics of cardiometabolic risk, stress, inflammation, neurotrophic/growth factors, AD, and cognition were assessed in 154 MCI participants (Mean age = 74.1 years) from the Alzheimer’s Disease Neuroimaging Initiative. Partial Least Squares analysis was employed to examine associations among these physiological variables and cognition.
Results:
Latent variable 1 revealed a unique combination of AD biomarkers, neurotrophic/growth factors, education, and stress that were significantly associated with specific domains of cognitive function, including episodic memory, executive function, processing speed, and language, representing 45.2% of the cross-block covariance in the data. Age, body mass index, and metrics tapping basic attention or premorbid IQ were not significant.
Conclusions:
Our data-driven analysis highlights the significant relationships between metrics associated with AD pathology, neuroprotection, and neuroplasticity, primarily with tasks tapping episodic memory, executive function, processing speed, and verbal fluency rather than more basic tasks that do not require mental manipulation (basic attention and vocabulary). These data also indicate that biological metrics are more strongly associated with episodic memory, executive function, and processing speed than chronological age in older adults with MCI.
To evaluate the properties of the cognitive battery used in the MIND Diet Intervention to Prevent Alzheimer’s Disease. The MIND Diet Intervention is a randomized control trial to determine the relative effectiveness of the MIND diet in slowing cognitive decline and reducing brain atrophy in older adults at risk for Alzheimer’s dementia.
Methods:
The MIND cognitive function battery was administered at baseline to 604 participants of an average age of 70 years, who agreed to participate in the diet intervention study, and was designed to measure change over time. The battery included 12 cognitive tests, measuring the 4 cognitive domains of executive function, perceptual speed, episodic memory, and semantic memory. We conducted a principal component analysis to examine the consistency between our theoretical domains and the statistical performance of participants in each domain. To further establish the validity of each domain, we regressed the domain scores against a late-life cognitive activity score, controlling for age, race, sex, and years of education.
Results:
Four factors emerged in the principal component analyses that were similar to the theoretical domains. In regression equations, we found the expected associations with age, education, and late-life cognitive activity with each of the four cognitive domains.
Conclusions:
These results indicate that the MIND cognitive battery is a comprehensive and valid battery of four separate domains of cognitive function that can be used in diet intervention trials for older adults.
This study used multiple assessment methods to examine instrumental activities of daily living (IADLs) performance in individuals with Parkinson’s disease with mild cognitive impairment (PD-MCI) compared to individuals with mild cognitive impairment (MCI) and cognitively healthy older adults (HOA). Associations between functional performance and cognition were also examined.
Methods:
Eighteen individuals with PD-MCI, 48 individuals with MCI, and 66 HOAs were assessed with multiple IADL measures, including direct observation, a performance-based measure, and self- and informant-report questionnaires. Performance on the direct-observation measure was further characterized by coding for four error types: omissions, substitutions, and inefficient and irrelevant/off-task actions.
Results:
Both the PD-MCI and MCI groups performed more poorly on the overall score for all IADL measures relative to HOAs. Although the PD-MCI and MCI groups did not differ in overall performance, on the direct-observation measure, the PD-MCI group took longer and made more inefficient and irrelevant/off-task errors relative to the HOA and MCI groups, whereas the MCI group made more omission and substitution errors relative to HOAs. Further, the pattern of cognitive correlates that associated most strongly with the functional measures varied across groups and functional assessment methods.
Conclusion:
Compared to HOAs, PD-MCI and MCI groups demonstrated increased difficulties performing everyday activities, and cognitive and motor abilities differentially contributed to the everyday task difficulties of these two groups.
Youth with attention deficit hyperactivity disorder (ADHD) often show reduced post-error slowing (PES) compared to typically developing controls. This finding has been interpreted as evidence that children with ADHD have error recognition and adaptive control impairments. However, several studies report mixed results regarding PES differences in ADHD, and among healthy controls, there is considerable debate about the cognitive-behavioral origin of PES.
Methods:
We tested competing hypotheses aimed at clarifying whether reduced PES in children with ADHD is due to impaired error detection, deficits in adaptive control, and/or attention orienting to novelty. Children aged 7–11 years with a diagnosis of ADHD (n = 74) and controls (n = 30) completed four laboratory-based computer tasks with variable cognitive loads and error types.
Results:
ADHD diagnosis was associated with shorter PES only on a task with high cognitive load and low error-cuing, consistent with impaired error recognition. In contrast, there was no evidence of impaired adaptive control or heightened novelty orienting among children with ADHD.
Conclusions:
The cognitive-behavioral origin of PES is multifactorial, but reduced PES among children with an ADHD diagnosis is due to impaired error recognition during cognitively demanding tasks. Behavioral interventions that scaffold error recognition may facilitate improved performance among children with ADHD.
Performance on executive function (EF) tasks is only modestly predictive of a diagnosis of Attention Deficit Hyperactivity Disorder (ADHD), despite the common assumption that EF deficits are ubiquitous to the disorder. The current study sought to determine whether ex-Gaussian parameters of simple reaction time are better able to discriminate between children and adults with and without ADHD, compared with traditional measures of inhibitory control.
Methods:
Receiver Operating Characteristic (ROC) analyses and the area under the curve (AUC) were used to examine the ability of performance on two commonly used tasks of inhibitory control (i.e. stop signal reaction time (SSRT) and go-no-go tasks) to predict ADHD status in preschool (N = 108), middle childhood (N = 309), and young adulthood (N = 133).
Results:
Across all samples, SSRT, go-no-go percentage of failed inhibits, and standard deviation of reaction (SDRT) time to “go” trials, all successfully discriminated between individuals with and without ADHD. Ex-Gaussian decomposition of the RT distribution indicated that both larger tau and larger sigma drove findings for SDRT. Contrary to predictions, traditional measures of inhibitory control were equal if not better predictors of ADHD status than ex-Gaussian parameters.
Conclusions:
Findings support ongoing work to quantify the separate contributions of cognitive subprocesses that drive task performance, which in turn is critical to developing and improving process-based approaches in clinical assessment.
Teletesting has the potential to reduce numerous barriers to patient care which have only become exacerbated during the COVID-19 pandemic. Although telehealth is commonly utilized throughout medicine and mental health practices, teletesting has remained limited within cognitive and academic evaluations. This may be largely due to concern for the validity of test administration via remote assessment. This cross-sectional study examined the equivalency of cognitive [Wechsler Intelligence Scales for Children – Fifth Edition (WISC-V)] and academic [Kaufman Test of Educational Achievement – Third Edition (KTEA-3)] subtests administered via either teletesting or traditional in-person testing within clinically referred youth.
Method:
Chart review using a retrospective, cross-sectional design included a total of 893 children and adolescents, ranging from 4 to 17 years (Mean age = 10.2 years, SD = 2.9 years) who were administered at least one subtest from the aforementioned cognitive or academic assessments. Of these, 285 received teletesting, with the remaining (n = 608) receiving in-person assessment. A total of seven subtests (five from the WISC-V and two from the KTEA-3) were examined. A series of inverse probability of exposure weighted (IPEW) linear regression models examined differences between groups for each of the seven subtests after adjustment for numerous demographic, diagnostic, and parent-reported symptom variables.
Results:
Only two significant differences were found, such that WISC-V Visual Puzzles (p < .01) and KTEA-3 Math Concepts (p = .03) scores were slightly higher in the teletesting versus in-person groups. However, these differences were quite small in magnitude (WISC-V Visual Puzzles, d = .33, KTEA-3 Math Concepts, d = .18).
Conclusions:
Findings indicate equivalency across methods of service delivery without clinically meaningful differences in scores among referred pediatric patients.
The present study examined if time-pressured administration of an expanded Multilingual Naming Test (MINT) would improve or compromise assessment of bilingual language proficiency and language dominance.
Methods:
Eighty Spanish–English bilinguals viewed a grid with 80 MINT-Sprint pictures and were asked to name as many pictures as possible in 3 min in each language in counterbalanced order. An Oral Proficiency Interview rated by four native Spanish–English bilinguals provided independent assessment of proficiency level. Bilinguals also self-rated their proficiency, completed two subtests of the Woodcock-Muñoz, and a speeded translation recognition test. We compared scores after 2 min, a first-pass through all the pictures, and a second-pass in which bilinguals were prompted to try to name skipped items.
Results:
The MINT Sprint and a subset score including original MINT items were highly correlated with Oral Proficiency Interview scores for predicting the degree of language dominance – matching or outperforming all other measures. Self-ratings provided weaker measures (especially of degree of balance – i.e., bilingual index scores) and did not explain any unique variance in measuring the degree of language dominance when considered together with second-pass naming scores. The 2-min scoring procedure did not improve and appeared not to hamper assessment of absolute proficiency level but prompting to try to name skipped items improved assessment of language dominance and naming scores, especially in the nondominant language.
Conclusions:
Time-pressured rapid naming saves time without significantly compromising assessment of proficiency level. However, breadth of vocabulary knowledge may be as important as retrieval speed for maximizing the accuracy in proficiency assessment.
We investigated the utility of traditional neuropsychological tests in older uneducated/illiterate individuals without dementia to determine the possibility that they are likely not appropriate for this group.
Methods:
We assessed the neuropsychological performance of 1122 older adults [≥65 years old; mean age: 74.03 (SD = 5.46); mean education: 4.76 (SD = 2.5) years; women: n = 714], in the context of the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD), a population-based study conducted in Greece.
Results:
We based our analyses on three groups: high-functioning/cognitively healthy (i.e., without dementia) uneducated/illiterate individuals (n = 80), high-functioning/cognitively healthy educated/literate individuals (n = 932), and low-functioning/cognitively impaired educated/literate individuals (presumably with dementia; n = 110). We used binary regression analyses with Bonferroni correction to investigate whether test performance differentiated uneducated/illiterate from educated/literate individuals. Models were adjusted for age and sex; raw test scores were the predictor variables. The uneducated/illiterate cohort was at a disadvantage relative to the healthy educated/literate group on all variables but verbal memory recognition and consolidation, congruent motor responses, and phonological fluency clustering (p > .002). Moreover, only word list learning immediate and delayed free recall and delayed cued recall differentiated the high-functioning/cognitively healthy uneducated/illiterate from the low-functioning/cognitively impaired educated/literate group, favoring the former (p’s < .002).
Conclusions:
Our findings suggest that only particular verbal memory test variables are fair in determining whether older uneducated/illiterate individuals have functional/cognitive impairment suggestive of a neurodegenerative process. On all other neuropsychological variables, this cohort was at a disadvantage. Therefore, we highlight the need for identifying appropriate methods of assessment for older uneducated/illiterate individuals.
We investigated the impact of culturally relevant social, educational, and language factors on cognitive test performance among Spanish speakers living near the US–Mexico border.
Methods:
Participants included 254 healthy native Spanish speakers from the Neuropsychological Norms for the US–Mexico Border Region in Spanish (NP-NUMBRS) project (Age: M = 37.3, SD = 10.4; Education: M = 10.7, SD = 4.3; 59% Female). A comprehensive neuropsychological battery was administered in Spanish. Individual test scaled scores and T-scores (based on region-specific norms adjusted for age, education, and sex) were averaged to create Global Mean Scaled and T-scores. Measures of culturally relevant factors included a self-reported indicator of educational quality/access (proportion of education in Spanish-speaking country, quality of school/classroom setting, stopped attending school to work), childhood socioeconomic environment (parental education, proportion of time living in Spanish-speaking country, childhood socioeconomic and health status, access to basic resources, work as a child), and Spanish/English language use and fluency.
Results:
Several culturally relevant variables were significantly associated with unadjusted Global Scaled Scores in univariable analyses. When using demographically adjusted T-scores, fewer culturally relevant characteristics were significant. In multivariable analyses, being bilingual (p = .04) and working as a child for one’s own benefit compared to not working as a child (p = .006) were significantly associated with higher Global Mean T-score, accounting for 9% of variance.
Conclusions:
Demographically adjusted normative data provide a useful tool for the identification of brain dysfunction, as these account for much of the variance of sociocultural factors on cognitive test performance. Yet, certain culturally relevant variables still contributed to cognitive test performance above and beyond basic demographics, warranting further investigation.