Neuropsychological Assessment: Past and Future

Growth of condition-related knowledge among youth with spina bifida: associations with neurocognitive functioning and self-management skills

OBJECTIVE

This study aims to characterize the growth in condition-related knowledge in youth with spina bifida (SB), identify neurocognitive predictors of growth, and examine associations between growth in knowledge and subsequent levels of medical self-management skills.

METHODS

Participants were recruited from a larger longitudinal study involving 140 youth with SB and caregivers, who completed questionnaires and interviews every 2 years over 8 years. The current study included the youth report of condition-related knowledge and medical self-management skills. Youth attention and executive functioning were assessed via parent and teacher reports and performance-based assessment. Latent growth curves were conducted in Mplus Version 8 (Múthen, L. K., & Múthen, B. O. [1998]. Mplus User's Guide. [Eighth]. Muthén & Muthén) to examine change over time in youth-reported condition-related knowledge. Neurocognitive variables were included as predictors of growth in knowledge and regression analyses were used to predict medical self-management skills from growth in condition-related knowledge.

RESULTS

Youth condition-related knowledge increased linearly. Better youth performance on working memory and attention performance-based tasks predicted a higher intercept for condition-related knowledge at T1, but not slope. Teacher and parent reports of inattention and executive dysfunction were not consistent predictors of intercept and growth. Slope of condition-related knowledge was not predictive of subsequent youth self-management skills.

CONCLUSIONS

Youth with SB gain condition-related knowledge over time. However, executive dysfunction and inattention may impede gains in condition-related knowledge. Thus, executive functioning supports, attention-related interventions, and psychoeducation may support condition-related knowledge gains and later medical self-management skills, but further research assessing family and cultural factors is needed.

A Highly Stretchable, Conductive, and Transparent Bioadhesive Hydrogel as a Flexible Sensor for Enhanced Real-Time Human Health Monitoring

Real-time continuous monitoring of non-cognitive markers is crucial for the early detection and management of chronic conditions. Current diagnostic methods are often invasive and not suitable for at-home monitoring. An elastic, adhesive, and biodegradable hydrogel-based wearable sensor with superior accuracy and durability for monitoring real-time human health is developed. Employing a supramolecular engineering strategy, a pseudo-slide-ring hydrogel is synthesized by combining polyacrylamide (pAAm), β-cyclodextrin (β-CD), and poly 2-(acryloyloxy)ethyltrimethylammonium chloride (AETAc) bio ionic liquid (Bio-IL). This novel approach decouples conflicting mechano-chemical effects arising from different molecular building blocks and provides a balance of mechanical toughness (1.1 × 106 Jm-3), flexibility, conductivity (≈0.29 S m-1), and tissue adhesion (≈27 kPa), along with rapid self-healing and remarkable stretchability (≈3000%). Unlike traditional hydrogels, the one-pot synthesis avoids chemical crosslinkers and metallic nanofillers, reducing cytotoxicity. While the pAAm provides mechanical strength, the formation of the pseudo-slide-ring structure ensures high stretchability and flexibility. Combining pAAm with β-CD and pAETAc enhances biocompatibility and biodegradability, as confirmed by in vitro and in vivo studies. The hydrogel also offers transparency, passive-cooling, ultraviolet (UV)-shielding, and 3D printability, enhancing its practicality for everyday use. The engineered sensor demonstratesimproved efficiency, stability, and sensitivity in motion/haptic sensing, advancing real-time human healthcare monitoring.

Neuropsychological Assessment for Early Detection and Diagnosis of Dementia: Current Knowledge and New Insights

Dementia remains an underdiagnosed syndrome, and there is a need to improve the early detection of cognitive decline. This narrative review examines the role of neuropsychological assessment in the characterization of cognitive changes associated with dementia syndrome at different states. The first section describes the early indicators of cognitive decline and the major barriers to their identification. Further, the optimal cognitive screening conditions and the most widely accepted tests are described. The second section analyzes the main differences in cognitive performance between Alzheimer's disease and other subtypes of dementia. Finally, the current challenges of neuropsychological assessment in aging/dementia and future approaches are discussed. Essentially, we find that current research is beginning to uncover early cognitive changes that precede dementia, while continuing to improve and refine the differential diagnosis of neurodegenerative disorders that cause dementia. However, neuropsychology faces several barriers, including the cultural diversity of the populations, a limited implementation in public health systems, and the adaptation to technological advances. Nowadays, neuropsychological assessment plays a fundamental role in characterizing cognitive decline in the different stages of dementia, but more efforts are needed to develop harmonized procedures that facilitate its use in different clinical contexts and research protocols.

The Real-World Usability, Feasibility, and Performance Distributions of Deploying a Digital Toolbox of Computerized Assessments to Remotely Evaluate Brain Health: Development and Usability Study

BACKGROUND

An ongoing global challenge is managing brain health and understanding how performance changes across the lifespan.

OBJECTIVE

We developed and deployed a set of self-administrable, computerized assessments designed to measure key indexes of brain health across the visual and auditory sensory modalities. In this pilot study, we evaluated the usability, feasibility, and performance distributions of the assessments in a home-based, real-world setting without supervision.

METHODS

Potential participants were untrained users who self-registered on an existing brain training app called BrainHQ. Participants were contacted via a recruitment email and registered remotely to complete a demographics questionnaire and 29 unique assessments on their personal devices. We examined participant engagement, descriptive and psychometric properties of the assessments, associations between performance and self-reported demographic variables, cognitive profiles, and factor loadings.

RESULTS

Of the 365,782 potential participants contacted via a recruitment email, 414 (0.11%) registered, of whom 367 (88.6%) completed at least one assessment and 104 (25.1%) completed all 29 assessments. Registered participants were, on average, aged 63.6 (SD 14.8; range 13-107) years, mostly female (265/414, 64%), educated (329/414, 79.5% with a degree), and White (349/414, 84.3% White and 48/414, 11.6% people of color). A total of 72% (21/29) of the assessments showed no ceiling or floor effects or had easily modifiable score bounds to eliminate these effects. When correlating performance with self-reported demographic variables, 72% (21/29) of the assessments were sensitive to age, 72% (21/29) of the assessments were insensitive to gender, 93% (27/29) of the assessments were insensitive to race and ethnicity, and 93% (27/29) of the assessments were insensitive to education-based differences. Assessments were brief, with a mean duration of 3 (SD 1.0) minutes per task. The pattern of performance across the assessments revealed distinctive cognitive profiles and loaded onto 4 independent factors.

CONCLUSIONS

The assessments were both usable and feasible and warrant a full normative study. A digital toolbox of scalable and self-administrable assessments that can evaluate brain health at a glance (and longitudinally) may lead to novel future applications across clinical trials, diagnostics, and performance optimization.

Mayo normative studies: regression-based normative data for ages 30-91 years with a focus on the Boston Naming Test, Trail Making Test and Category Fluency

OBJECTIVE

Normative neuropsychological data are essential for interpretation of test performance in the context of demographic factors. The Mayo Normative Studies (MNS) aim to provide updated normative data for neuropsychological measures administered in the Mayo Clinic Study of Aging (MCSA), a population-based study of aging that randomly samples residents of Olmsted County, Minnesota, from age- and sex-stratified groups. We examined demographic effects on neuropsychological measures and validated the regression-based norms in comparison to existing normative data developed in a similar sample.

METHOD

The MNS includes cognitively unimpaired adults ≥30 years of age (n = 4,428) participating in the MCSA. Multivariable linear regressions were used to determine demographic effects on test performance. Regression-based normative formulas were developed by first converting raw scores to normalized scaled scores and then regressing on age, age2, sex, and education. Total and sex-stratified base rates of low scores (T < 40) were examined in an older adult validation sample and compared with Mayo's Older Americans Normative Studies (MOANS) norms.

RESULTS

Independent linear regressions revealed variable patterns of linear and/or quadratic effects of age (r2 = 6-27% variance explained), sex (0-13%), and education (2-10%) across measures. MNS norms improved base rates of low performance in the older adult validation sample overall and in sex-specific patterns relative to MOANS.

CONCLUSIONS

Our results demonstrate the need for updated norms that consider complex demographic associations on test performance and that specifically exclude participants with mild cognitive impairment from the normative sample.

cCOG Web-Based Cognitive Assessment Tool

Cognitive testing is an essential part of clinical diagnostics and clinical trials in Alzheimer's disease. Digital cognitive tests hold a great opportunity to provide more versatile and cost-efficient patient pathways through flexible testing including at home. In this work, we describe a web-based cognitive test, cCOG, that can be used in screening, differential diagnosis, and monitoring the progression of neurodegenerative diseases.

Insights gained over 60 years on factors shaping post-stroke aphasia recovery: A commentary on Vignolo (1964)

Aphasia is an acquired language disorder resulting from brain injury, including strokes which is the most common etiology, neurodegenerative diseases, tumors, traumatic brain injury, and resective surgery. Aphasia affects a significant portion of stroke survivors, with approximately one third experiencing its debilitating effects in the long term. Despite its challenges, there is growing evidence that recovery from aphasia is possible, even in the chronic phase of stroke. Sixty years ago, Vignolo (1964) outlined the primary challenges confronted by researchers in this field. These challenges encompassed the absence of an objective evaluation of language difficulties, the scarcity of evidence regarding spontaneous aphasia recovery, and the presence of numerous variables that could potentially influence the process of aphasia recovery. In this paper, we discuss the remarkable progress that has been made in the assessment of language and communication in aphasia as well as in understanding the factors influencing post-stroke aphasia recovery.

A review of the reliability of remote neuropsychological assessment

The provision of clinical neuropsychological services has predominately been undertaken by way of standardized administration in a face-to-face setting. Interpretation of psychometric findings in this context is dependent on the use of normative comparison. When the standardization in which such psychometric measures are employed deviates from how they were employed in the context of the development of its associated norms, one is left to question the reliability and hence, validity of any such findings and in turn, diagnostic decision making. In light of the current COVID-19 pandemic and resultant social distancing direction, face-to-face neuropsychological assessment has been challenging to undertake. As such, remote (i.e., virtual) neuropsychological assessment has become an obvious solution. Here, and before the results from remote neuropsychological assessment can be said to stand on firm scientific grounds, it is paramount to ensure that results garnered remotely are reliable and valid. To this end, we undertook a review of the literature and present an overview of the landscape. To date, the literature shows evidence for the reliability of remote administration and the clinical implications are paramount. When and where needed, neuropsychologists, psychometric technicians and examinees may no longer need to be in the same physical space to undergo an assessment. These findings are most relevant given the physical distancing practices because of COVID-19. And whilst remote assessment should never supplant face-to-face neuropsychological assessments, it does serve as a valid alternative when necessary.

Factor analysis of neuropsychological domains in a preschool clinic

INTRODUCTION

The clinical practice of preschool neuropsychology assumes that our assessment tools are measuring underlying neuropsychological functions, and that these functions are negatively impacted by early life neurological injury, disease, and disorder. This study hypothesized that general intellectual capacity and specific cognitive skills, both "broad" neuropsychological domains and "specific" subdomains within those broader clusters, would be differentiable in a preschool-age clinical population.

METHODS

Using neuropsychological data from 580 children (6 and 71 months) seen for a clinical neuropsychological evaluation in the Preschool and Infant Neuropsychological Testing (PINT) Clinic, exploratory factor analyses (EFA) were conducted. Results: A one-factor model provided a good fit when considering verbal, nonverbal, and adaptive functions. Consideration of one- versus two-factor solutions for broad neuropsychological domains indicated that a 2-factor solution provided a significantly better fit for the data. Factor 1 was defined by motor, language, and nonverbal reasoning abilities; Factor 2 was defined by inhibitory control and attention. Further consideration of specific neuropsychological functions also supported a 2-factor solution. Factor 1 ("thinking") was defined by nonverbal reasoning, receptive language, and expressive language; Factor 2 ("processing") was defined by impulse control, inhibitory control, inattention, visual-motor integration, and visuo-constructional abilities. Motor skills cross-loaded onto both factors. Secondary analyses suggest these models provide the best fit for preschool-aged children with > 70 overall intellectual functioning and no comorbid medical diagnosis.

CONCLUSIONS

In a clinical sample of preschool-age children, neuropsychological assessment data appears to assess a general level of intellectual capacity or functioning. Further differentiation between assessing "thinking" (knowledge and reasoning skills) and "processing" (cognitive attention and processing of information) can be considered clinically. Next steps include more recent clinical sample replication, consideration of whether neuropsychological profiles are detectable in the preschool-age range and whether the results of early life assessment are predictive of future functioning.

Everyday Spatial Behavioral Questionnaire 11 Component Model

The present work builds on prior research to develop the Everyday Spatial Behavioral Questionnaire (ESBQ or EBQ), a measure of self-reported difficulty in performing familiar activities that involve spatial thinking. A principal component analysis and confirmatory factor analysis were employed to identify reliable categories of everyday spatial behaviors. A test of measurement invariance was employed across two independent samples of college students to validate an 11-Component Model as a representation of the ESBQ. The model met criteria necessary to represent a strong model in terms of the ESBQ having the same structure and meaning in both samples. Both samples had eight of the 11 sub-scales with Cronbach alphas greater than .7, while for five of these eight sub-scales Cronbach alphas were greater than .8. Alphas were lower in the second sample than the first. The scales require construct and criterion-related validity assessment.

A psychometric study of an executive function assessment instrument (TDI-FE)

BACKGROUND

This study aims to present and discuss the psychometric properties of executive functions, which were measured using the TDI-FE instrument. The analysis encompasses its internal structure, potential sensitivity to fatigue factors, relationships with external criteria, and diagnostic accuracy.

METHODS

The study sample comprised 382 students from Brazil, aged 6-8 years. Child development variables were screened using the TDI-FE and gold standard tests (Cancellation Attention and Trail Making Tests). The proposed scale comprised four activities: a test with fruit images with three tasks, and one memory game.

RESULTS

The one-factor model of EF of the TDI-FE failed to fit to the data. However, fit substantially improved once a latent fatigue factor was controlled in the model. The latent factor of EF assessed by the TDI-FE tasks was coherently associated with a series of external variables, including two popular collateral measures of EF. The diagnostic accuracy was reasonable, and a cut-off of 37 points produced 70% of sensitivity and 60% of specificity.

CONCLUSION

Results indicated that the TDI-FE demonstrated sound psychometric properties and diagnostic accuracy, then consisting of an efficient alternative for the assessment of EFs in early childhood education. The study also proved the need to control for response biases such as fatigue in the latent variable models of EF. The TDI-FE is notable because of its low cost and easy application, and it might fulfill a need for instruments for individuals from different contexts at this stage of development in Brazil.

Everyday memory in patients with depression: An explorative pilot study using an ecological assessment paradigm

BACKGROUND

People with major depressive disorder (MDD) often experience significant memory problems in their daily lives, which, however, frequently do not correspond to standardized memory test (SMT) results. The present pilot study aimed to examine the everyday memory performance of people with MDD by means of an ecological assessment paradigm (EAP).

METHODS

Participants were unexpectedly called one week after their neuropsychological test assessment and asked about their memories of specific details of the former test situation. Associations of this EAP with SMT, subjective everyday memory problems, and symptom coping were exploratively analyzed.

RESULTS

The study involved 22 MDD inpatients (M = 42.5 years, 64% female) and 22 comparable healthy control persons. MDD patients showed a significantly reduced performance in the EAP as well as in the SMT and they reported more memory problems in their daily lives. However, the EAP was not related to SMT results assessed a week before. Moreover, only the EAP was significantly associated with subjective daily memory problems and (distraction) coping style in the MDD group.

CONCLUSIONS

The EAP appears to better reflect the everyday memory problems of persons with depression than standardized test procedures. However, the findings need to be validated by further research with larger samples.

Systematic Review of Gaming and Neuropsychological Assessment of Social Cognition

Playing video games is associated with cognitive changes and possibly psychosocial difficulties. Problematic gaming occurs upon the loss of control over videogame playing; gaming disorder is considered a behavioral addiction in the 11th version of the International Classification of Diseases. Models used to understand behavioral addictions include cognition as an essential factor in the development, maintenance, and relapse of addiction. Nevertheless, some aspects of cognition, such as social cognition, remain underexplored, despite evidence of alterations in cognitive and social function among patients with problematic gaming. This review aimed to describe the current understanding of social cognition in individuals exposed to videogames. We included all studies assessing social cognition in participants of any age with a wide range of exposure to video games (from simple use of video games (such as at least two exposures) to problematic gaming, defined according to the included study). This wide range of exposure allowed us to explore the whole process from repeated exposure to addiction. We included only studies that used neuropsychological tasks to assess social cognition. Patient-reported outcomes that could be biased by subjective self-report data were not included. The search was conducted from inception to January 2022 in three databases (PubMed, PsycINFO, and Web of Science). The systematic search identified 39 studies that assessed facial emotion processing, empathy, theory of mind, social decision-making, aggressive behavior, and moral competence. In general, results have been mixed, and a number of questions remain unanswered. Nevertheless, several studies showed cerebral changes when processing facial emotion that were linked with problematic gaming, while no link was obtained between nonproblematic gaming and empathy alterations. The influences of cooperation patterns, theory of mind, moral competence, and gaming frequency were highlighted. Finally, there was substantial heterogeneity in the population assessed and the methods used.

Remote cognitive training for children with congenital brain malformation or genetic syndrome: a scoping review

Increased attention is arising on the delivery of remote cognitive interventions, which allow performing exercises in everyday settings, favouring rehabilitation continuity. The present study offers an overview of remote cognitive training programs for children with congenital brain malformation or genetic syndrome affecting the central nervous system, included in papers published in the time period 2011-2021. A total of 13 records was found and discussed including efficacy studies, feasibility studies and study protocols. Many studies have focused on a specific diagnosis, such as cerebral palsy, Down Syndrome, Fragile X Syndrome, while no or little evidence has been gathered on more rare diseases or brain malformations. Interventions were found to generate benefits on some cognitive functions, but problems with adherence were highlighted, especially due to excessive cognitive load from the training or clinical comorbidities. Conclusions remain tentative due to heterogeneity in training, study and patients characteristics, and methodological limitations of studies.

Neuropsychological Test Norms for the Assessment of HIV-Associated Neurocognitive Impairment Among South African Adults

Reliable and valid neurocognitive (NC) test batteries that assess multiple domains of cognitive functioning are vital tools in the early detection of HIV-associated NC impairment. The HIV Neurobehavioral Research Center's International Neurobehavioral Battery (HNRC Battery) is one such diagnostic tool and has shown cultural validity in several international neuroHIV studies. However, no published norms are currently available for the full HNRC Battery in South Africa. To accurately interpret NC test results, appropriate reference norms are required. In light of this challenge, data were collected from 500 healthy, HIV-uninfected participants to develop demographically corrected South African norms. When demographically corrected United States of America (U.S.) norms were applied to the performance scores of our neurologically intact, HIV-negative sample, an impairment rate of 62.2% was observed compared to a 15.0% impairment rate when the newly generated South African norms were applied. These results reiterate the findings of other low- and middle-income countries, highlighting the need for localized, country-specific norms when interpreting NC performance.

The role of sense of presence in expressing cognitive abilities in a virtual reality task: an initial validation study

There is a raised interest in literature to use Virtual Reality (VR) technology as an assessment tool for cognitive domains. One of the essential advantages of transforming tests in an immersive virtual environment is the possibility of automatically calculating the test's score, a time-consuming process under natural conditions. Although the characteristics of VR can deliver different degrees of immersion in a virtual environment, the sense of presence could jeopardize the evolution of these practices. The sense of presence results from a complex interaction between human, contextual factors, and the VR environment. The present study has two aims: firstly, it contributes to the validation of a virtual version of the naturalistic action test (i.e., virtual reality action test); second, it aims to evaluate the role of sense of presence as a critical booster of the expression of cognitive abilities during virtual reality tasks. The study relies on healthy adults tested in virtual and real conditions in a cross-over research design. The study's results support the validity of the virtual reality action test. Furthermore, two structural equation models are tested to comprehend the role of sense of presence as a moderator in the relationship between cognitive abilities and virtual task performance.

Early Diagnosis of Autism Spectrum Disorder: A Review and Analysis of the Risks and Benefits

Autism spectrum disorder (ASD) is a neurodevelopmental condition made up of enduring challenges in social communication and interaction and the presence of repetitive and restricted behavior patterns. Early diagnosis of autism is crucial for timely intervention and improved long-term outcomes. This review aims to explore some of its signs and symptoms, look into some diagnostic tools, and analyze the benefits and risks associated with an early diagnosis of autism. The symptoms of ASD vary from child to child, some of which are: avoidance of eye contact, lack of response to names, excessive fear, and lack of interactive and pretend play. Early identification of these symptoms by caregivers and healthcare providers facilitates the need for diagnosis and appropriate interventions. Some screening and diagnostic tools that have been found to help make the diagnosis are the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F), the Social Communication Questionnaire (SCQ), the Parents' Evaluation of Developmental Status (PEDS), and the Childhood Autism Rating Scale (CARS), amongst others. The benefits of early diagnosis include the opportunity for early intervention, which has been shown to enhance developmental outcomes and improve adaptive skills. Early identification allows for the implementation of specialized interventions tailored to the specific needs of individuals with autism, targeting social communication, language development, and behavioral challenges. Furthermore, early diagnosis enables families to access appropriate support services, educational resources, and community programs, facilitating better coping mechanisms, reducing parental stress, and increasing adult independence. However, early diagnosis of autism also entails certain risks. One significant concern is the potential for labeling and stigmatization, which can impact the child's self-esteem and social interactions. There is a risk of overdiagnosis or misdiagnosis, leading to unnecessary interventions and treatments. Additionally, the diagnostic process can be lengthy, complex, and emotionally challenging for families, requiring comprehensive assessments by multidisciplinary teams. This review highlights the importance of a balanced approach when considering the benefits and risks of early diagnosis. Early identification allows for timely interventions that significantly improve developmental outcomes and quality of life for individuals with autism. To mitigate the risks, it is crucial to ensure accurate and reliable diagnostic procedures, support families throughout the process, and promote societal awareness and acceptance. We also highlighted some future directions in the management of autism, including the use of biomarkers and the use of artificial intelligence and learning for diagnosing ASD.

Translation, cross-cultural adaptation and validation of the 10-item Weekly Calendar Planning Activity in Spanish-speaking ABI patients: a multicenter study

We present the process of translation, adaptation, and validation in the Spanish context of the 10-item version of the Weekly Calendar Planning Activity (WCPA-10), a performance-based measure of cognitive instrumental activities of daily living (C-IADL). The study consisted of two phases: I) translation/cultural adaptation of the WCPA, conducted by professional bilingual translators, a panel of experts, and a pilot study, and II) validation in a sample of 42 acquired brain injury patients (ABI) and 42 healthy participants (HC). WCPA primary outcomes showed expected convergent/discriminant validity patterns with socio-demographical and clinical variables and cognitive processes identifying those WCPA outcomes that best predicted executive and memory deficits measured with a battery of traditional neuropsychological tests. In addition, performance on the WCPA was a significant predictor of everyday functioning over variables such as socio-demographics or global cognition when measured with traditional tests. External validity was established by the WCPA's ability to identify everyday cognitive deficits in ABI patients compared to HC, even in those with subtle cognitive impairment based on neuropsychological tests. The Spanish WCPA-10 seems an appropriate and sensitive assessment tool to identify cognitive-functional impairment in ABI-patients, even those with subtle cognitive impairment. The results also highlight the relevance of this kind of test, as they indicate a better prediction of patients' real-world functioning than traditional neuropsychological tests.

Comparative effect of deliberate hypotensive anesthesia using nitroglycerine vs. phentolamine on event related potentials and cognitive functions in patients undergoing septoplasty: a randomized controlled trial

BACKGROUND

Postoperative cognitive dysfunction is a noteworthy complication of deliberate hypotensive anesthesia. The aim of this work was to compare the effect of deliberate hypotensive anesthesia using nitroglycerine versus phentolamine on event-related potentials and cognitive function in patients undergoing septoplasty surgery.

METHODS

This prospective randomized controlled trial was conducted on 80 patients indicated for septoplasty under general anesthesia; 40 patients received intra-operative Nitroglycerine and 40 patients received intra-operative Phentolamine. Cognitive assessment (using Paired Associate Learning test (PALT) and Benton Visual Retention test (BVRT)) and P300 recording were done for all included patients pre-operatively and one week postoperatively.

RESULTS

The scores of PALT and Benton BVRT significantly declined one week following surgery in both Nitroglycerine and Phentolamine groups. There was no statistically significant difference between Nitroglycerine and Phentolamine groups in the postoperative decline in either PALT or BVRT (P-value = 0.342, 0.662 respectively). The values of P300 latency showed a significant delay one week following surgery in both Nitroglycerine and Phentolamine groups (P-value ≤ 0.001, 0.001), but in Nitroglycerine group, the delay is significantly higher than in Phentolamine group (P-value = 0.003). The values of P300 amplitude significantly decreased one week following surgery in both Nitroglycerine and Phentolamine groups (P-value ≤ 0.001, 0.001), but there was no statistically significant difference between Nitroglycerine and Phentolamine groups (P-value = 0.099).

CONCLUSION

Phentolamine is preferred over nitroglycerin in deliberate hypotensive anesthesia because it has less harmful effect on cognitive function than nitroglycerin.

An online platform and a dynamic database for neuropsychological assessment in Indonesia

Proper use of neuropsychological tests in Indonesia is hindered by a lack of properly adapted neurocognitive tests as well as an absence of normative data. In 2016, we started adapting ten of these tests for use in Indonesia and collected data from healthy participants in Java. Here we introduce and propose a system that will facilitate the proper usage and interpretation of test scores: an online platform and a dynamic database. Newly collected data (492 healthy adults) of the Indonesian version of the Boston Naming Test (I-BNT) were used to illustrate the usefulness of the two functions. Analysis of variances, post-hoc tests, and a simulation study revealed the effects of age and education on the I-BNT, indicating that it is imperative to fine-tune the reference group based on these demographic factors. Putative inadequate sample size issues for obtaining reliable normative scores were overcome by employing regression analyses and the prediction of normative scores. It can be concluded that a flexible online platform is available for the calculation of normative scores either based on the whole population, on fine-tuned reference groups, or on predicted scores. The dynamic database's growth will allow to obtain even more fine-tuned and more reliable reference data as well as more accurate predictions. Fine-tuned reference data are badly needed for the heterogenous Indonesian population.

Assessing cognitive changes in multiple sclerosis: criteria for a reliable decision

INTRODUCTION

Quantifying a significant cognitive change on a neuropsychological battery is essential to assess patients' decline or recovery and offer appropriate care. The reliability of change indices is particularly important in multiple sclerosis (MS), as the course of cognitive impairment is quite unpredictable, due at least in part to substantial interindividual variability. The main objective of this study was to compare six different methods for assessing cognitive change in an MS sample: the SD method, two reliable change indices, two standardized regression-based methods (SRB), and the generalized regression-based method (GSRB).

METHOD

One hundred and twenty-three patients with clinically definite MS and 89 healthy controls underwent a battery of standardized neuropsychological tests assessing cognitive functions that are frequently affected in this disease (i.e., verbal episodic memory, working memory, processing speed and verbal fluency).

RESULTS

We observed fairly similar proportions of improvement, decline or stability in the control group whatever the method. By contrast, in the MS sample, regression-based methods with one predictor (i.e., score at T1) and four predictors (i.e., score at T1 and demographic factors: age, sex, education level) detected a significant worsening more often than the reliable change indices while the GSRB method was more consistent with the RCI methods in tasks associated with ceiling effects.

CONCLUSIONS

The interpretation of a patient's cognitive changes depends on which method is used. The (G)SRB methods appear to be relevant indicators for assessing cognitive change in MS. The addition of demographic factors does not seem to play an important role in the prediction of significant worsening in the MS sample, regardless of cognitive domain. For clinicians, an easy-to-use free shiny app is provided.

Childhood trauma relates to worse memory functioning in bipolar disorder

BACKGROUND

Childhood trauma is commonly experienced by individuals diagnosed with bipolar disorder (BP). In BP, childhood trauma is related to a more severe clinical course, but its association with cognition remains unclear.

METHODS

This study evaluated 405 adult participants diagnosed with BP and 136 controls. Participants completed the Childhood Trauma Questionnaire and a comprehensive neuropsychological battery. High versus low childhood trauma was defined with one standard deviation above the control participant's mean Childhood Trauma Questionnaire score. Neuropsychological data was transformed into eight cognitive factors, including four executive functioning, auditory and visual memory, fine motor, and emotion processing. Multivariate analysis of covariance evaluated group differences in cognition, while adjusting for covariates.

RESULTS

There were significant differences among the three groups, F(16, 968) = 4.05, p < .001, Wilks' Λ = 0.88, partial η² = 0.06. Comparing the high and low trauma BP groups, high trauma was related to lower auditory and visual memory factor scores (p < .05). As compared to controls, the BP high trauma group had lower scores on six of eight factors (all p < .01), while the BP low trauma group had lower scores on four of eight factors (all p < .01).

LIMITATIONS

Analyses of factor score do not address which aspect of the memory process is affected and biomarkers may help guide interventions addressing underlying biological process.

CONCLUSIONS

Adults diagnosed with BP with higher childhood trauma have worse memory functioning, beyond the lower childhood trauma BP group, highlighting the importance of understanding the long-term cognitive outcomes of childhood trauma.

Cross-national harmonization of neurocognitive assessment across five sites in a global study

OBJECTIVE

Cross-national work on neurocognitive testing has been characterized by inconsistent findings, suggesting the need for improved harmonization. Here, we describe a prospective harmonization approach in an ongoing global collaborative study.

METHOD

Visuospatial N-Back, Tower of London (ToL), Stop Signal task (SST), Risk Aversion (RA), and Intertemporal Choice (ITC) tasks were administered to 221 individuals from Brazil, India, the Netherlands, South Africa, and the USA. Prospective harmonization methods were employed to ensure procedural similarity of task implementation and processing of derived task measures across sites. Generalized linear models tested for between-site differences controlling for sex, age, education, and socioeconomic status (SES). Associations with these covariates were also examined and tested for differences by site with site-by-covariate interactions.

RESULTS

The Netherlands site performed more accurately on N-Back and ToL than the other sites, except for the USA site on the N-Back. The Netherlands and the USA sites performed faster than the other three sites during the go events in the SST. Finally, the Netherlands site also exhibited a higher tolerance for delay discounting than other sites on the ITC, and the India site showed more risk aversion than other sites on the RA task. However, effect size differences across sites on the five tasks were generally small (i.e., partial eta-squared < 0.05) after dropping the Netherlands (on ToL, N-Back, ITC, and SST tasks) and India (on the RA task). Across tasks, regardless of site, the N-Back (sex, age, education, and SES), ToL (sex, age, and SES), SST (age), and ITC (SES) showed associations with covariates.

CONCLUSIONS

Four out of the five sites showed only small between-site differences for each task. Nevertheless, despite our extensive prospective harmonization steps, task score performance deviated from the other sites in the Netherlands site (on four tasks) and the India site (on one task). Because the procedural methods were standardized across sites, and our analyses were adjusted for covariates, the differences found in cognitive performance may indicate selection sampling bias due to unmeasured confounders. Future studies should follow similar cross-site prospective harmonization procedures when assessing neurocognition and consider measuring other possible confounding variables for additional statistical control. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Impact of Virtual Reality Cognitive and Motor Exercises on Brain Health

Innovative technologies of the 21st century have an extremely significant impact on all activities of modern humans. Among them, virtual reality (VR) offers great opportunities for scientific research and public health. The results of research to date both demonstrate the beneficial effects of using virtual worlds, and indicate undesirable effects on bodily functions. This review presents interesting recent findings related to training/exercise in virtual environments and its impact on cognitive and motor functions. It also highlights the importance of VR as an effective tool for assessing and diagnosing these functions both in research and modern medical practice. The findings point to the enormous future potential of these rapidly developing innovative technologies. Of particular importance are applications of virtual reality in basic and clinical neuroscience.

Screening for HIV-associated neurocognitive impairment: Development and validation of an abbreviated neuropsychological test battery for use in South African clinical settings

BACKGROUND

The HIV Neurobehavioral Research Center International Neurobehavioral Battery is a culturally valid battery sensitive to the neurocognitive (NC) effects of HIV-infection. However, its lengthy administration time makes the battery impractical in resource-limited settings, like South Africa, which are often faced with an overwhelming disease burden, a lack of neurological and neuropsychological (NP) expertise, and staff shortages. The present study therefore sought to develop an abbreviated version of the HNRC Battery and validate this battery in a sample of people with HIV (PWH) in South Africa.

OBJECTIVE

The present study therefore sought to develop an abbreviated version of the HNRC battery and validate this battery in a sample of people with HIV (PWH) in South Africa.

METHOD

Six measures were selected based on the NC test performances of 103 HIV-positive and 135 HIV-negative South African adults. For the validation, a subgroup of 103 PWH completed the full version of the battery, while the other subgroup of 52 PWH completed only the abbreviated version. Deficit scores of each participant were calculated. These scores were used as the gold standard against which the abbreviated battery was compared.

RESULTS

There was a reduction of 81% in administration time when compared to the full version of the battery. The abbreviated battery demonstrated good sensitivity (75.0%) and excellent specificity (94.9%) when compared with the full version. The abbreviated battery showed good diagnostic accuracy in identifying NC impairment in an HIV-positive South African sample with a significant reduction in administration time, making it a more practical option in busy South African clinic settings.

CONCLUSION

The results of this study may facilitate the growth of neuroAIDS research and aid initial identification of HIV-related NC impairment in resource-constrained settings. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Innovations in Neuropsychology: Future Applications in Neurosurgical Patient Care

Over the last century, collaboration between clinical neuropsychologists and neurosurgeons has advanced the state of the science in both disciplines. These advances have provided the field of neuropsychology with many opportunities for innovation in the care of patients prior to, during, and following neurosurgical intervention. Beyond giving a general overview of how present-day advances in technology are being applied in the practice of neuropsychology within a neurological surgery department, this article outlines new developments that are currently unfolding. Improvements in remote platform, computer interface, "real-time" analytics, mobile devices, and immersive virtual reality have the capacity to increase the customization, precision, and accessibility of neuropsychological services. In doing so, such innovations have the potential to improve outcomes and ameliorate health care disparities.

Microfoundations of Adaptive Search in Complex Tasks: The Role of Cognitive Abilities and Styles

Problem-solving in complex environments requires a cognitively demanding search for task solutions. Managing this search process presents a major challenge in organizations. We contribute to the literature on this topic by providing new evidence on the cognitive antecedents that shape how individuals search when engaged in complex problem-solving tasks. We present results from three laboratory studies, wherein 335 individuals solved a complex task. In doing so, they generated behavioral data coupled with survey-based measurements of the individuals’ cognitive styles and performance-based tests of their cognitive abilities. Our data analysis contributes to the current literature by documenting systematic heterogeneity in the persistence and distance of search that can be explained by the participants’ level of creativity, attention to detail, and executive functions. We extend the research on the microfoundations of adaptive search by linking cognitive antecedents with a complex search task, widening our insight into what search behavior certain cognitive microfoundations lead to, and showing how managers can more effectively shape organizational search.

History: This paper has been accepted for the Organization Science Special Issue on Experiments in Organizational Theory.

Supplemental Material: The online appendix is available at https://doi.org/10.1287/orsc.2023.1654 .

Virtual reality technology in neuropsychological testing: A systematic review

Neuropsychological testing aims to measure individuals' cognitive abilities (e.g. memory, attention), analysing their performance on specific behavioural tasks. Most neuropsychological tests are administered in the so-called 'paper-and-pencil' modality or via computerised protocols. The adequacy of these procedures has been recently questioned, with more specific concerns about their ecological validity, i.e. the relation between test scores observed in the laboratory setting and the actual everyday cognitive functioning. In developing more ecological tasks, researchers started to implement virtual reality (VR) technology as an administration technique focused on exposing individuals to simulated but realistic stimuli and environments, maintaining at the same time a controlled laboratory setting and collecting advanced measures of cognitive functioning. This systematic review aims to present how VR procedures for neuropsychological testing have been implemented in the last years. We initially explain the rationale for supporting VR as an advanced assessment tool, but we also discuss the challenges and risks that can limit the widespread implementation of this technology. Then, we systematised the large body of studies adopting VR for neuropsychological testing, describing the VR tools' distribution amongst different cognitive functions through a PRISMA-guided systematic review. The systematic review highlighted that only very few instruments are ready for clinical use, reporting psychometric proprieties (e.g. validity) and providing normative data. Most of the tools still need to be standardised on large cohorts of participants, having published only limited data on small samples up to now. Finally, we discussed the possible future directions of the VR neuropsychological test development linked to technological advances.

Three verbal fluency tasks: Normative data and convergent validity in Argentines over 50 years

Abstract Verbal fluency tasks are frequently used in neuropsychological assessment, standing out for their easy application and good sensitivity to early cognitive impairment. However, in Argentina, the availability of updated norms is limited, especially for the action fluency variant. There is also little evidence of validity. Objectives: The aim of this study was to obtain Argentine norms for three verbal fluency tasks and to analyze their convergent validity. Methods: Using a nonprobability sampling method, 303 Argentines from a nonclinical population (age mean=66.8, 50–91 years) were recruited to participate in this study. Those with medical conditions that could compromise neuropsychological performance were excluded. Three verbal fluency tasks (i.e., phonological, semantic, and action), the Montreal Cognitive Assessment (MoCA) test, and the Digit Span-WAIS III test were administered. Correlations and multiple regressions were subsequently performed. Results: Education and age significantly explained 11.8% of the variance in phonological fluency, 15.8% of the variance in semantic fluency, and 20.2% of the variance in action fluency. Hence, the normative data varied according to educational level and age group, with normal performance limit values between 9 and 14 for phonological fluency, 11 and 18 for semantic fluency, and 8 and 17 for action fluency. Positive correlations were obtained between all verbal fluency tasks, as well as between the MoCA test and the Digit Span test. Conclusions: This study supports the applicability of three verbal fluency tasks in an Argentine context by providing age- and education-corrected norms and acceptable evidence of convergent validity.

Multisensory integration and white matter pathology: Contributions to cognitive dysfunction

The ability to simultaneously process and integrate multiple sensory stimuli is paramount to effective daily function and essential for normal cognition. Multisensory management depends critically on the interplay between bottom-up and top-down processing of sensory information, with white matter (WM) tracts acting as the conduit between cortical and subcortical gray matter (GM) regions. White matter tracts and GM structures operate in concert to manage both multisensory signals and cognition. Altered sensory processing leads to difficulties in reweighting and modulating multisensory input during various routine environmental challenges, and thus contributes to cognitive dysfunction. To examine the specific role of WM in altered sensory processing and cognitive dysfunction, this review focuses on two neurologic disorders with diffuse WM pathology, multiple sclerosis and mild traumatic brain injury, in which persistently altered sensory processing and cognitive impairment are common. In these disorders, cognitive dysfunction in association with altered sensory processing may develop initially from slowed signaling in WM tracts and, in some cases, GM pathology secondary to WM disruption, but also because of interference with cognitive function by the added burden of managing concurrent multimodal primary sensory signals. These insights promise to inform research in the neuroimaging, clinical assessment, and treatment of WM disorders, and the investigation of WM-behavior relationships.

Adaptation and construct validity evaluation of a tablet-based, short neuropsychological test battery for use with adolescents and young adults living with HIV in Thailand

OBJECTIVE

Deficits in neurocognitive functioning are common among adolescents and young adults (AYA) with perinatally acquired HIV (PHIV). Limitations of traditional neuropsychological tests hinder assessment of neurocognition in low- and middle-income countries where most AYA with PHIV reside. Computerized testing could make assessment of neurocognition more accessible in these countries. This study examined a culturally modified NeuroScreen, a tablet-based neurocognitive testing app, for use in Thailand. Construct validity was examined among Thai AYA (13-23 years) with and without PHIV.

METHOD

NeuroScreen underwent adaptation including language, content, and usability review by Thai psychologists, AYA, and clinical staff. One hundred Thai AYA (50 PHIV; 50 HIV-uninfected, matched controls) were administered the adapted NeuroScreen and a battery of traditional paper-and-pencil neuropsychological tests. Correlations, mean differences, and proportions with impaired performance were examined across NeuroScreen and the traditional tests.

RESULTS

The Thai version of NeuroScreen was deemed understandable and culturally appropriate. A large correlation (.82) between overall performance on the NeuroScreen and traditional batteries was observed. Small-to-large correlations were found between conceptually similar NeuroScreen and traditional tests of processing speed, working memory, motor speed, and executive functioning. Mean test performance differences between AYA with PHIV and controls were similar between test batteries. Both sets of tests identified similar rates of impaired participants.

CONCLUSIONS

Results provide support for the acceptability and construct validity of the Thai NeuroScreen tests to assess neurocognition in Thai AYA with PHIV. An easy-to-use tool to assess neurocognition can help Thai providers provide better care for AYA with PHIV. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Diet and lifestyle factors associated with cognitive performance in college students

ObjectiveEngaging in a healthy diet and positive lifestyle behaviors have been shown to improve cognitive functioning in children and older adults, however, few have examined these factors in college-aged students. Participants: A diverse sample of 115 college students were recruited on two university campuses. Method: Completed computerized cognitive testing and an online survey about diet and lifestyle behaviors. Results: All analyses were conducted with Pearson's correlations. Higher fruit consumption was correlated with better visual memory scores. Higher seafood consumption was correlated with better learning performance. Increased fast food consumption was correlated with poorer executive functioning in resident students and poorer visual memory performance in commuter students. Increased fluid intake on testing day was correlated with better visual memory and better verbal memory performance. Conclusions: Behavioral changes such as increasing hydration, eating more fruit and fish, and eating less fast food may improve cognitive performance in college students.

Cognitive subgroups and their longitudinal trajectories in bipolar disorder

INTRODUCTION

Cognitive functioning in bipolar disorder is heterogeneous with evidence for multiple subgroups. However, cognitive subgroup change patterns over time remains unknown. While prior work suggests minimal differences in cognitive functioning patterns over time between those with bipolar disorder and controls, group-based analyses may obscure unique subgroup-based changes.

MATERIAL AND METHODS

Participants diagnosed with bipolar disorder (I, II, NOS; n = 568) and unaffected controls (n = 234) completed baseline, one- and five-year neuropsychological assessments. Data reduction techniques were used to limit the number of neuropsychological variables. Bipolar disorder participant baseline neuropsychological data were entered into hierarchical cluster analyses and resultant clusters were entered in multilevel models, which tested for differences in baseline and longitudinal cognitive changes in cognition among the cluster groups and with controls.

RESULTS

Results were consistent with bipolar disorder participants forming three subgroups with high (n = 209), mid (n = 259), and low (n = 100) cognition. These groups were associated with unique clinical characteristics. Multilevel models demonstrated that over a five-year period, the low group improved, relative to the high and mid groups, and with controls, in auditory memory. Over the five-year period, the mid group, in comparison with the high group, improved in visual memory; additionally, the high group remained stable, in comparison with a slight decline in the control group, in inhibitory control.

CONCLUSION

These results demonstrate that cognition-based subgroups of bipolar disorder participants have minimal differences in their longitudinal course in relation to each other and with unaffected controls.

Fist-Palm Test (FiPaT): a bedside motor tool to screen for global cognitive status

Objective

The Fist-Palm Test (FiPaT) is a novel non-verbal task to be used at the patient’s bedside for a cognitive functions screening. The aims of this study are to analyze (I) the qualitative and quantitative performance features at FiPaT, (II) the psychometric characteristics of FiPaT, and (III) the correlation between FiPat and traditional cognitive assessments in subjects with normal cognition (NC), Mild Cognitive Impairment-single domain (MCI-sd), and Mild Cognitive Impairment-multiple domain (MCI-md).

Methods

One hundred-thirteen subjects (53M/60F), with a mean age of 66.28 ± 7.22 years and 11.08 ± 4.93 years of education, were recruited and underwent a complete neuropsychological battery and FiPaT.

Results

We found 68 subjects with NC, 31 with MCI-sd, and 14 with MCI-md and a high reliability of the FiPaT (alpha =0.762). The number of FiPaT errors correlated with age and all neuropsychological tests, except for the memory recall test. Subjects with MCI had greater FiPaT errors than subjects with NC. The FiPaT, used with the MOCA test, predicted the presence of MCI, with a variance of 44%.

Conclusion

The FiPaT is an acceptable and reliable non-verbal test, able to screen for global cognitive status, attention, and executive functions, and to predict the MCI. Future studies will validate this initial findings as well as the discriminatory role of the FiPaT in detecting specific types of cognitive impairment.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10072-022-06129-1.

Brain-phenotype models fail for individuals who defy sample stereotypes

Individual differences in brain functional organization track a range of traits, symptoms and behaviours1-12. So far, work modelling linear brain-phenotype relationships has assumed that a single such relationship generalizes across all individuals, but models do not work equally well in all participants13,14. A better understanding of in whom models fail and why is crucial to revealing robust, useful and unbiased brain-phenotype relationships. To this end, here we related brain activity to phenotype using predictive models-trained and tested on independent data to ensure generalizability15-and examined model failure. We applied this data-driven approach to a range of neurocognitive measures in a new, clinically and demographically heterogeneous dataset, with the results replicated in two independent, publicly available datasets16,17. Across all three datasets, we find that models reflect not unitary cognitive constructs, but rather neurocognitive scores intertwined with sociodemographic and clinical covariates; that is, models reflect stereotypical profiles, and fail when applied to individuals who defy them. Model failure is reliable, phenotype specific and generalizable across datasets. Together, these results highlight the pitfalls of a one-size-fits-all modelling approach and the effect of biased phenotypic measures18-20 on the interpretation and utility of resulting brain-phenotype models. We present a framework to address these issues so that such models may reveal the neural circuits that underlie specific phenotypes and ultimately identify individualized neural targets for clinical intervention.

Assessment of Neurocognitive Functions, Olfaction, Taste, Mental, and Psychosocial Health in COVID-19 in Adults: Recommendations for Harmonization of Research and Implications for Clinical Practice

OBJECTIVE

To propose a set of internationally harmonized procedures and methods for assessing neurocognitive functions, smell, taste, mental, and psychosocial health, and other factors in adults formally diagnosed with COVID-19 (confirmed as SARS-CoV-2 + WHO definition).

METHODS

We formed an international and cross-disciplinary NeuroCOVID Neuropsychology Taskforce in April 2020. Seven criteria were used to guide the selection of the recommendations' methods and procedures: (i) Relevance to all COVID-19 illness stages and longitudinal study design; (ii) Standard, cross-culturally valid or widely available instruments; (iii) Coverage of both direct and indirect causes of COVID-19-associated neurological and psychiatric symptoms; (iv) Control of factors specifically pertinent to COVID-19 that may affect neuropsychological performance; (v) Flexibility of administration (telehealth, computerized, remote/online, face to face); (vi) Harmonization for facilitating international research; (vii) Ease of translation to clinical practice.

RESULTS

The three proposed levels of harmonization include a screening strategy with telehealth option, a medium-size computerized assessment with an online/remote option, and a comprehensive evaluation with flexible administration. The context in which each harmonization level might be used is described. Issues of assessment timelines, guidance for home/remote assessment to support data fidelity and telehealth considerations, cross-cultural adequacy, norms, and impairment definitions are also described.

CONCLUSIONS

The proposed recommendations provide rationale and methodological guidance for neuropsychological research studies and clinical assessment in adults with COVID-19. We expect that the use of the recommendations will facilitate data harmonization and global research. Research implementing the recommendations will be crucial to determine their acceptability, usability, and validity.

From word list learning to successful shopping: The neuropsychological assessment continuum from cognitive tests to cognition in everyday life

Cognitive deficits are common after brain injury and can be measured in various ways. Many neuropsychological tests are designed to measure specific cognitive deficits, and self-report questionnaires capture cognitive complaints. Measuring cognition in daily life is important in rehabilitating the abilities required to undertake daily life activities and participate in society. However, assessment of cognition in daily life is often performed in a non-standardized manner. In this opinion paper we discuss the various types of assessment of cognitive functioning and their associated instruments. Drawing on existing literature and evidence from experts in the field, we propose a framework that includes seven dimensions of cognition measurement, reflecting a continuum ranging from controlled test situations through to measurement of cognition in daily life environments. We recommend multidimensional measurement of cognitive functioning in different categories of the continuum for the purpose of diagnostics, evaluation of cognitive rehabilitation treatment, and assessing capacity after brain injury.

Impaired Affordance Perception as the Basis of Tool Use Deficiency in Alzheimer’s Disease

The present study investigated whether defective affordance perception capacity underpins tool use deficits in patients with Alzheimer’s disease (AD). An affordance, a concept James Gibson introduced, scales environmental objects to an animal’s action capabilities, thus offering opportunities for action. Each man-made artifact carries both a primary affordance (its designed function) and secondary affordances. In Experiment 1, participants identified secondary affordances of objects as a measure of their ability to identify alternative uses of familiar tools. A single response Go/No-Go task was administered to 4 groups: AD, mild cognitive impairment (MCI), Parkinson’s disease (PD), and elderly controls (EC). Groups were matched for age and years of education. The AD group performed poorest, followed by MCI, and PD and EC. EC and PD groups’ results failed to reach statistical significance, and the AD group performed at chance. In Experiment 2, participants judged the physical properties of the same objects used in Experiment 1. Even AD patients performed reliably, ruling out a visual processing deficit as the basis for their poor performance in Experiment 1. Results suggest that degraded affordance detection capacity can differentiate AD from normal aging and other neurodegenerative disorders and could be an affordable marker for AD, even in the early stages of AD.

Cognitive assessment and rehabilitation tools for stroke and dementia: An online survey of Russian speaking clinicians

Our objective was to survey opinions on cognitive assessment and rehabilitation of Russian-speaking clinicians working with stroke and dementia patients. An online survey was circulated to professional communities soliciting feedback from clinicians about methods used for cognitive assessment and rehabilitation; expected cognitive impairments in dementia and stroke; variables affecting the cognitive abilities of patients; and topics presented during psycho-educational initiatives. Forty-eight physicians, 50 psychologists, and 12 speech-language pathologists completed the survey. 96% of participants reported estimating the cognitive abilities of patients while performing diagnostics and treatment in clinical settings. The most popular tools for cognitive assessment were Russian versions of the MoCA, MMSE, Luria Neuropsychological Battery, and Frontal Assessment Battery (FAB). 60% of participants reported the provision of cognitive rehabilitation, and 61% provided psychoeducation. All groups reported that the cognitive reserve and the idiopathic features of a brain lesion were the main factors influencing patients' cognitive profile. In the case of stroke patients, clinicians observed aphasia, as well as impairments in attention, memory, and reasoning. For patients with dementia, memory deficits were coincident with executive/frontal, praxis, and visuo-perceptual impairments. Psychotherapy-related psychoeducation was delivered by most of the clinicians. The captured patterns of clinical practice followed, in part, Russian national guidelines for cognitive rehabilitation and, in part, international protocols, wherein we found some professional group differences in implementation of practice. The profile in approaches to stroke and dementia assessment and rehabilitation reveal a new benchmark for future studies and for the development of policies for neuropsychological assessment and treatment in Russian language.

Air pollution and neurodevelopmental skills in preschool- and school-aged children: A systematic review

Early life exposure to air pollution has been associated with neurodevelopmental disorders. Emerging evidence are highlighting a possible impact of air pollution on typically developing children. Thirty papers were included in this review to systematically evaluate the association between air pollutants exposure in prenatal and/or postnatal periods and specific neurodevelopmental skills (i.e. intellective functioning, memory and learning, attention and executive functions, verbal language, numeric ability and motor and/or sensorimotor functions) in preschool- and school-age children. Detrimental effects of air pollutants on children's neurodevelopmental skills were observed, although they do not show clinically relevant performance deficits. The most affected domains were global intellective functioning and attention/executive functions. The pollutants that seem to represent the greatest risk are PM2.5, NO₂ and PAHs. Prenatal exposure is primarily associated with child neurodevelopment at pre-school and school ages. Early exposure to air pollutants is related to adverse neurodevelopmental outcomes in the general population of children. Further research is needed to support stronger conclusions.

A Digital Screening System for Alzheimer Disease Based on a Neuropsychological Test and a Convolutional Neural Network: System Development and Validation

Background

Alzheimer disease (AD) and other types of dementia are now considered one of the world’s most pressing health problems for aging people worldwide. It was the seventh-leading cause of death, globally, in 2019. With a growing number of patients with dementia and increasing costs for treatment and care, early detection of the disease at the stage of mild cognitive impairment (MCI) will prevent the rapid progression of dementia. In addition to reducing the physical and psychological stress of patients’ caregivers in the long term, it will also improve the everyday quality of life of patients.

Objective

The aim of this study was to design a digital screening system to discriminate between patients with MCI and AD and healthy controls (HCs), based on the Rey-Osterrieth Complex Figure (ROCF) neuropsychological test.

Methods

The study took place at National Taiwan University between 2018 and 2019. In order to develop the system, pretraining was performed using, and features were extracted from, an open sketch data set using a data-driven deep learning approach through a convolutional neural network. Later, the learned features were transferred to our collected data set to further train the classifier. The first data set was collected using pen and paper for the traditional method. The second data set used a tablet and smart pen for data collection. The system’s performance was then evaluated using the data sets.

Results

The performance of the designed system when using the data set that was collected using the traditional pen and paper method resulted in a mean area under the receiver operating characteristic curve (AUROC) of 0.913 (SD 0.004) when distinguishing between patients with MCI and HCs. On the other hand, when discriminating between patients with AD and HCs, the mean AUROC was 0.950 (SD 0.003) when using the data set that was collected using the digitalized method.

Conclusions

The automatic ROCF test scoring system that we designed showed satisfying results for differentiating between patients with AD and MCI and HCs. Comparatively, our proposed network architecture provided better performance than our previous work, which did not include data augmentation and dropout techniques. In addition, it also performed better than other existing network architectures, such as AlexNet and Sketch-a-Net, with transfer learning techniques. The proposed system can be incorporated with other tests to assist clinicians in the early diagnosis of AD and to reduce the physical and mental burden on patients’ family and friends.

Genes To Mental Health (G2MH): A Framework to Map the Combined Effects of Rare and Common Variants on Dimensions of Cognition and Psychopathology

Rare genomic disorders (RGDs) confer elevated risk for neurodevelopmental psychiatric disorders. In this era of intense genomics discoveries, the landscape of RGDs is rapidly evolving. However, there has not been comparable progress to date in scalable, harmonized phenotyping methods. As a result, beyond associations with categorical diagnoses, the effects on dimensional traits remain unclear for many RGDs. The nature and specificity of RGD effects on cognitive and behavioral traits is an area of intense investigation: RGDs are frequently associated with more than one psychiatric condition, and those studied to date affect, to varying degrees, a broad range of developmental and cognitive functions. Although many RGDs have large effects, phenotypic expression is typically influenced by additional genomic and environmental factors. There is emerging evidence that using polygenic risk scores in individuals with RGDs offers opportunities to refine prediction, thus allowing for the identification of those at greatest risk of psychiatric illness. However, translation into the clinic is hindered by roadblocks, which include limited genetic testing in clinical psychiatry, and the lack of guidelines for following individuals with RGDs, who are at high risk of developing psychiatric symptoms. The Genes to Mental Health Network (G2MH) is a newly funded National Institute of Mental Health initiative that will collect, share, and analyze large-scale data sets combining genomics and dimensional measures of psychopathology spanning diverse populations and geography. The authors present here the most recent understanding of the effects of RGDs on dimensional behavioral traits and risk for psychiatric conditions and discuss strategies that will be pursued within the G2MH network, as well as how expected results can be translated into clinical practice to improve patient outcomes.

The relationship between cognition and vocational training outcome in patients with acquired brain injury: Contribution of Machine Learning

The aim of this study was to identify specific cognitive patterns related to long-term vocational training outcome. Records of twenty-eight patients who had benefited from a professional rehabilitation program were retrospectively processed. Screening through machine learning algorithms of patients' neuropsychological scores identified cognitive patterns related to both vocational training outcomes: succeeded or failed. These patterns were based on cognitive performance intervals even if the cognitive ability was not impaired. The cognitive pattern related to a successful vocational training included performance intervals on measures underlying verbal memory consolidation, visual memory incidental recall, problem solving and planning abilities. The cognitive pattern explaining failure of vocational training included performance intervals on tasks involving planning and problem solving abilities. From a comprehensive neuropsychological battery, memory and executive measures appeared to be the best attributes related to the vocational training outcome in patients with brain injury. Even with a cognitive functioning above the pathological cutoff, patients suffering from a brain injury could fail a vocational training. The attributes related to the vocational training outcome would be more a specific level of cognitive functioning rather than an interpretation of neuropsychological scores only based on a normal versus pathological distinction.

Neurocognitive performance differences between black and white individuals with HIV disease are mediated by health literacy

Objective:Health disparities are evident for Black Americans with HIV disease, who are disproportionally affected by the epidemic in the United States. The current study investigated whether the higher rates of neurocognitive impairment in Black Americans with HIV disease may be at least partly attributable to health literacy, which is a potentially modifiable factor. Method: Participants were 61 White and 25 Black participants (ages 27-70) with HIV disease who were enrolled in studies at an urban academic center in Southern California. Neurocognitive function was assessed by an age-adjusted global score from the Cogstate battery. Health literacy was measured by a composite score derived from the Rapid Estimate of Adult Literacy in Medicine, Newest Vital Sign, and 3-Brief. Results: Bootstrap confidence interval mediation analyses showed that health literacy was a significant mediator of the relationship between race and neurocognition; that is, there were no direct ethnoracial differences in neurocognition after accounting for health literacy. A follow-up model to confirm the directionality of this association demonstrated that neurocognition was not a significant mediator of the relationship between race and health literacy. Conclusions: Low health literacy may contribute to the higher rates of neurocognitive impairment for Black Americans with HIV disease. Future studies might examine the possible mechanism of this mediating relationship (e.g., access to health information, health behaviors, socioeconomics) and determine whether culturally tailored interventions that improve health literacy also confer broader brain health benefits for Black Americans with HIV disease.

Technology-based Neurocognitive Assessment of the Elderly: a Mini Review: Оценка нейрокогнитивных функций на основе компьютерных технологий у пожилых людей: краткий обзор

Neurocognitive disorders in the elderly are on the rise all over the world. Neuropsychological assessment is vital to monitoring the progress of cognitive deficits. Over the years, there has been significant development in neuropsychological assessment to predict the development and progression of MCI and dementia. One such area of recent advancement in the field of neuropsychology is technology-based assessment. There are several types of technology-based assessments available based on the type of usage, site of the assessment, type of administration, type of device used for assessment, etc. Virtual reality-based assessments and digital assessments of neurocognitions for early identification of subtle cognitive deficits in patients with mild cognitive impairment (MCI) and major neurocognitive disorders (MND) represent two newly developed technologies. A few studies have demonstrated their efficacy; however, there remain several limitations and drawbacks to their usage within the elderly population. In this review, we have briefly discussed technology-based neuropsychological assessment, along with their usage and limitations.

Early predictors of disability of paediatric-onset AQP4-IgG-seropositive neuromyelitis optica spectrum disorders

OBJECTIVE

To describe onset clinical features predicting time to first relapse and time to long-term visual, motor and cognitive disabilities in paediatric-onset aquaporin-4 antibody (AQP4-IgG) neuromyelitis optica spectrum disorders (NMOSDs).

METHODS

In this retrospective UK multicentre cohort study, we recorded clinical data of paediatric-onset AQP4-IgG NMOSD. Univariate and exploratory multivariable Cox proportional hazard models were used to identify long-term predictors of permanent visual disability, Expanded Disability Status Scale (EDSS) score of 4 and cognitive impairment.

RESULTS

We included 49 paediatric-onset AQP4-IgG patients (38.8% white, 34.7% black, 20.4% Asians and 6.1% mixed), mean onset age of 12±4.1 years, and 87.7% were female. Multifocal onset presentation occurred in 26.5% of patients, and optic nerve (47%), area postrema/brainstem (48.9%) and encephalon (28.6%) were the most involved areas. Overall, 52.3% of children had their first relapse within 1 year from disease onset. Children with onset age <12 years were more likely to have an earlier first relapse (p=0.030), despite showing no difference in time to immunosuppression compared with those aged 12-18 years at onset. At the cohort median disease duration of 79 months, 34.3% had developed permanent visual disability, 20.7% EDSS score 4 and 25.8% cognitive impairment. Visual disability was associated with white race (p=0.032) and optic neuritis presentations (p=0.002). Cognitive impairment was predicted by cerebral syndrome presentations (p=0.048), particularly if resistant to steroids (p=0.034).

CONCLUSIONS

Age at onset, race, onset symptoms and resistance to acute therapy at onset attack predict first relapse and long-term disabilities. The recognition of these predictors may help to power future paediatric clinical trials and to direct early therapeutic decisions in AQP4-IgG NMOSD.

Mayo normative studies: A conditional normative model for longitudinal change on the Auditory Verbal Learning Test and preliminary validation in preclinical Alzheimer's disease

Introduction

The aim of this study was to develop a conditional normative model for Rey's Auditory Verbal Learning Test (AVLT) that accounts for practice effects.

Methods

In our normative sample, robust conditional norms were derived from 1001 cognitively unimpaired (CU) adults ages 50 to 89 who completed the AVLT up to eight times. Linear mixed‐effects models adjusted for baseline performance, prior test exposures, time, demographics, and interaction terms. In our preliminary validation, mean performance on conditional and typical normative scores across two to four completed follow‐up tests in preclinical Alzheimer's disease participants at baseline with positive amyloid and tau positron emission (n = 27 CU amyloid [A]+tau[T]+) was compared to biomarker negative individuals (n = 269 CU A–T–).

Results

AVLT performance using typical norms did not differ across A+T+ and A–T– groups. Conditional norms z‐scores were lower in the A+T+ relative to the A–T– group for 30‐minute recall (P = .033) and sum of trials (P = .030).

Discussion

Conditional normative methods that account for practice effects show promise for identifying longitudinal cognitive decline.

Pediatric Co-Norms for Finger Tapping, Grip Strength, and Grooved Pegboard in a Community Sample

OBJECTIVE

Motor tests, including Finger-Tapping Test, Grooved Pegboard Test, and Grip Strength Test, are frequently used by neuropsychologists when assessing pediatric populations. Many of the norms available for these measures are outdated, have not been co-normed, and have samples with limited diversity. This study aims to provide updated, co-norms for three commonly used motor tasks with a diverse population.

METHOD

Participants (n = 476; age range 6-14) were recruited from community settings to complete each of the three motor tests.

RESULTS

Results demonstrate generally improved performance across ages with no significant difference between performance of males and females on the Grooved Pegboard Test or the Finger Tapping Test. The only significant findings were on the Grip Strength Test where 12-14-year-old boys demonstrated stronger performance on the dominant hand.

CONCLUSION

This study provides updated and co-normed data on frequently used motor tasks with a diverse pediatric sample, which are useful for clinicians.