Measures Of Cognitive Function Research Articles

Cross-Validation of the Financial Exploitation Vulnerability Scale

ABSTRACT Objectives The present study is a cross-validation of the Financial Exploitation Vulnerability Scale (FEVS), a measure of contextual risk for financial exploitation. Methods The sample was drawn from both the community and the SAFE program, a service for older adults who have been financially scammed. FEVS was administered within a larger assessment battery. The total score ability to differentiate exploitation groups and its correlates were examined. ROC analysis and logistic regression evaluated the clinical utility of the FEVS to detect exploitation. Results were compared to the initial validation study. Results FEVS score was significantly higher for those who were exploited and correlated with age. ROC analysis revealed adequate detection of financial exploitation. FEVS total score remained a strong predictor of exploitation when compared to demographic factors and several measures of cognitive functioning. Conclusions Cross-validation demonstrates strong evidence that the FEVS detects financial exploitation in older adults, beyond the ability of many known risk factors. Clinical Implications FEVS is an evidence-based tool for identifying exploitation and is accessible to many professionals working with older adults. Items query contextual factors that allow professionals to support clients with the appropriate standard of care.

Deprescribing of Antihypertensive Medications and Cognitive Function in Nursing Home Residents

Antihypertensive medication deprescribing is common among nursing home residents, yet its association with cognitive decline remains uncertain. To investigate the association of deprescribing antihypertensive medication with changes in cognitive function in nursing home residents. This cohort study using a target trial emulation approach included VA long-term care residents aged 65 years or older with stays of at least 12 weeks from 2006 to 2019. Residents who were not prescribed antihypertensive medication, with blood pressure greater than 160/90 mm Hg, or with heart failure were excluded. Eligible residents with stable medication use for 4 weeks were classified into deprescribing or stable user groups and followed for 2 years or until death or discharge for intention-to-treat (ITT) analysis. Participants switching treatment groups were censored in the per-protocol analysis. Cognitive function measurements during follow-up were analyzed using an ordinal generalized linear mixed model, adjusting for confounders with inverse probability of treatment weighting. Per-protocol analysis included inverse probability of censoring weighting. Data analyses were performed from May 1, 2023, and July 1, 2024. Deprescribing was defined as a reduction in the total number of antihypertensive medications or a decrease in medication dosage by 30%, sustained for a minimum of 2 weeks. Cognitive Function Scale (CFS) was classified as cognitively intact (CFS = 1), mildly impaired (CFS = 2), moderately impaired (CFS = 3), and severely impaired (CFS = 4). Of 45 183 long-term care residents, 12 644 residents (mean [SD] age 77.7 [8.3] years; 329 [2.6%] females and 12 315 [97.4%] males) and 12 053 residents (mean [SD] age 77.7 [8.3] years; 314 [2.6%] females and 11 739 [97.4%] males) met eligibility for ITT and per-protocol analyses, respectively. At the end of the follow-up, 12.0% of residents had a worsened CFS (higher score) and 7.7% had an improved CFS (lower score) with 10.8% of the deprescribing group and 12.1% of the stable user group showing a worsened CFS score. In the per-protocol analysis, the deprescribing group had a 12% reduction in the odds of progressing to a worse CFS category per 12-week period (odds ratio, 0.88; 95% CI, 0.78-0.99) compared to the stable user group. Among residents with dementia, deprescribing was associated with 16% reduced odds of cognitive decline (odds ratio, 0.84; 95% CI, 0.72-0.98). These patterns remained consistent in the ITT analysis. This cohort study indicates that deprescribing is associated with less cognitive decline in nursing home residents, particularly those with dementia. More data are needed to understand the benefits and harms of antihypertensive deprescribing to inform patient-centered medication management in nursing homes.

Correction: Subjective and objective measures of cognitive function are correlated in persons with Post-COVID-19 Condition: a secondary analysis of a Randomized Controlled Trial

Correction: Subjective and objective measures of cognitive function are correlated in persons with Post-COVID-19 Condition: a secondary analysis of a Randomized Controlled Trial

Pure-tone audiometry and dichotic listening in primary progressive aphasia and Alzheimer's disease.

Hearing is multifaceted, and the relative contributions of peripheral and central hearing loss are rarely considered together in the context of dementia. Here, we assessed peripheral (as measured with pure-tone audiometry) and central (as measured with dichotic listening) hearing in 19 patients with typical amnestic Alzheimer's disease (tAD), 10 patients with logopenic variant primary progressive aphasia (lvPPA), 11 patients with nonfluent/agrammatic variant PPA (nfvPPA), 15 patients with semantic variant PPA (svPPA), and 28 healthy age-matched individuals. Participants also underwent neuropsychological assessment and magnetic resonance image scanning, allowing us to use voxel-based morphometry to assess associations between hearing scores and grey matter volume. Dichotic listening was impaired in all patient groups relative to healthy controls. In the combined patient (but not healthy control) cohort, dichotic listening scores were significantly correlated with measures of global cognitive functioning and speech-based neuropsychological tasks. Pure-tone audiometry scores were not significantly elevated in any patient group relative to the healthy control group, and no significant correlations were observed between peripheral hearing and neuropsychological task performance in either the combined patient or healthy control cohorts. Neuroanatomically, dichotic listening performance was associated with grey matter volume in a bilateral fronto-temporoparietal network over the combined patient cohort, but no correlates were identified for pure-tone audiometry. Our findings highlight the importance of speech parsing mechanisms beyond elementary sound detection in driving cognitive test performance, underline the importance of assessing central hearing alongside peripheral hearing in people with dementia, and further delineate the complex auditory profiles of neurodegenerative dementias.

Efficacy of Mindfulness-Based Stress Reduction for Breast Cancer (MBSR(BC)) a Treatment for Cancer-related Cognitive Impairment (CRCI): A Randomized Controlled Trial.

Introduction: The Mindfulness-Based Stress Reduction (MBSR) Program for breast cancer survivors (BCS) is designed to enhance cognitive training through formal and informal meditational practices. This randomized clinical trial (RCT) aimed to evaluate if BCS assigned to either the MBSR(BC), Breast Cancer Education Support (BCES), or Usual Care (UC) regimens experienced greater improvements at 6, 12, and 26 weeks on objective and subjective cognitive performance. Methods: BCS (n = 212) randomized to a three-group RCT: MBSR(BC) (n = 91), BCES (n = 90), or UC (n = 31) were assessed on cognitive performance and symptoms at baseline, 6, 12, and 26 weeks. Linear mixed models were fit to evaluate the effects of the MBSR(BC) program, hypothesizing ordered effect improvements: (MBSR[BC] highest, BCES intermediate, UC lowest) along with baseline characteristics evaluated as moderators. Results: Of the BCS (mean age of 57), 73% were White, and non-Hispanic, and 77% received both chemotherapy (CT) and radiation. Cognitive performance improved in all groups. Although there were no statistically significant between-group differences in cognitive outcomes, significant symptom reductions occurred for the MBSR(BC) group (p = 0.003). Within-group effect size analysis at 26 weeks showed substantial improvements in all three groups (effect sizes >0.50) in subjective impairments and quality of life (effect size >0.50) and objective measures of cognitive performance. MBSR(BC) showed the largest within-group effect size in the reduction of fatigue (effect size = 0.81). Effect sizes occurred in the hypothesized direction for 10 of the 18 outcomes. Discussion: Although the MBSR(BC) program did not show significant differences in cognitive performance compared with BCES and UC, all groups improved and reductions in fatigue were beneficial for MBSR(BC). Results suggest that cognitive performance may improve after CT over time considering one's natural history. Furthermore, BCS enrolled in RCTs may be more motivated to improve their health status (NCT02786797).

Depressive symptoms, cognitive functions and daily activities: An extended network analysis in monozygotic and dizygotic twins

BackgroundThe network theory posits that depression emerges as the result of individual symptoms triggering each other. Risk factors for depression can impact these between-symptoms interactions through extended networks. The study aimed to model the extended network of depressive symptoms and known depression risk factors – objective cognitive function, intellectual, physical, and social daily activities, and then, compare the observed networks between monozygotic (MZ) and dizygotic (DZ) co-twins. MethodsTwin pairs, 722 MZ and 2200 DZ, aged 40–79, were selected from the Dansh Twin Registry for having complete measures of depressive symptoms (e.g., sadness), cognitive functions (e.g., verbal memory), physical (e.g., brisk walk), intellectual (e.g., reading newspapers) and social activities (e.g., phone calls). Gaussian graphical models were used to estimate and compare the networks first between co-twins and then, between MZ to DZ twin pairs separately. ResultsSpecific intellectual, physical and social activities were central in the extended networks of depressive symptoms and, with the exception of processing speed, more central than cognition. The extended networks' structure was more homogeneous between MZ co-twins relative to DZ co-twins. Cognitive nodes were more central in MZ than DZ co-twins. LimitationsCross-sectional design, participants were middle-aged or older, mostly affective (non-somatic) depressive symptoms. ConclusionsIn depression networks, core connecting elements were intellectual, physical and social activities. The interaction between cognition and daily activities seems critical for triggering depressive symptoms. Thus, clinical interventions aimed at preventing depression and associated cognitive deficits should focus on maintenance and/or engagement in stimulating daily activities.

The impact of adverse childhood experiences on cognitive function among middle-aged and older Chinese adults: Multiple mediators of cognitive reserve and depressive symptoms

BackgroundAdverse childhood experiences (ACEs) are associated with later cognitive decline. However, the mechanisms underlying the effects of different types of ACEs are unclear. This study examined how ACEs impact cognitive function, specifically deprivation-related ACEs (DrACEs) and threat-related ACEs (TrACEs). Additionally, we explored the potential role of cognitive reserve (CR) and depression in these relationships. MethodsData were taken from the China Health and Retirement Longitudinal Study (CHARLS) of 2014 and 2020. CR, depressive symptoms and cognitive function measures were collected from 2020. ACEs were assessed at the 2014 Life Course Survey. The main analyses included 7113 participants aged 45 years or older. To explore potential associations, linear regression and SPSS Macro PROCESS were employed. ResultsAmong middle-aged and older adults, only exposure to DrACEs was associated with cognitive function ((β = −0.101 [95%CI: −0.150, −0.052]) for DrACEs = 1; (β = −0.250 [95%CI: −0.333, −0.167]) for DrACEs ≥ 2). The indirect effects mediated by CR and depressive symptoms were statistically significant. LimitationsThe use of retrospective self-reported data for ACEs may introduce recall bias. ConclusionsChinese middle-aged and older adults who have experienced DrACEs exhibit poorer cognitive function, while the association between TrACEs and cognitive function was not significant. And the impact of DrACEs on cognitive function was mediated by CR and depressive symptoms. Further research is necessary to validate our findings, establish causal links, and uncover the underlying mechanisms involved.

A - 91 Nocturnal Motor Activity and Wake after Sleep Onset and Neuropsychological Health in Veterans with Gulf War Illness

Abstract Objective To examine the association between actigraphy-based sleep parameters and neuropsychological health in Veterans with Gulf War Illness (GWI). Methods Objective sleep data was obtained from 85 GW Veterans (Mage = 54.2, 79% Male) using an actigraphy monitor (Phillips Respironics Actiwatch-2) worn for 24 hours/day for seven consecutive days. Actigraphy data was manually scored to define time in bed (TIB), and total sleep time (TST), wake after sleep onset (WASO), number of awakenings (NWAK), and motor activity counts (MAC) during sleep were derived using the device software. Participants completed a battery of questionnaires: Patient Health Questionnaire (PHQ-9), Posttraumatic Symptom Checklist (PCL-5), and Pittsburgh Sleep Quality Index (PSQI). Cognitive function was assessed using the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). Correlation analysis was conducted to discover associations between sleep parameters, self-reported measures, and cognitive function. Results MAC was positively correlated with elevated scores on PSQI (r = 0.35, p < 0.01), PHQ-9 (r = 0.26, p < 0.05), and PCL-5 (r = 0.26, p < 0.05), and negatively correlated with RBANS Total Index score (r = −0.27, p < 0.05). WASO was also positively correlated with PSQI scores (r = 0.29, p < 0.01). TIB and TST were positively correlated with age (r = 0.25, r = 0.28; all p < 0.05). Conclusion Objective parameters of disrupted sleep – nocturnal MAC and WASO – were associated with greater self-reported sleep disturbance. MAC was additionally correlated with increased self-reported symptoms of depression and PTSD, as well as lower performance on a measure of objective cognitive function. This study identifies aspects of sleep disruption as potential sleep intervention targets related to both mood and cognitive symptoms.

B - 96 Relationships between Self-Reported Cognitive Dysfunction, Functional Activities, and Intraindividual Cognitive Variability in Persons with Multiple Sclerosis (Pwms)

Abstract Objective To examine the relationships between intraindividual cognitive variability (IIV) and self-reported cognitive and functional difficulties in persons with multiple sclerosis (pwMS). We hypothesized higher perceived cognitive and functional difficulties would be associated with higher IIV. Method Participants (n = 35) were pwMS from a prospective memory intervention study. During the baseline evaluation, participants completed an objective neuropsychological test battery and a self-report measure of cognitive functioning (Perceived Deficits Questionnaire; PDQ Total). Participants were asked if they had problems in eight different functional areas due to their memory, with the number of endorsed problems summed. Two measures of IIV, an intraindividual standard deviation (ISD) score and maximum discrepancy score (MDS), were created from 11 indices. The relationship between the IIV and PDQ were assessed with individual linear regressions, controlling for demographics and disease-related characteristics, while Spearman correlations examined the associations with the number of reported functional memory problems. Results The PDQ was not significantly associated with either the ISD (b = −0.03, 95% CI: −0.15, 0.10, p = 0.672) or MDS (b = −0.01, 95% CI: −0.51, 0.32, p = 0.645). The overall number of functional memory problems was correlated with both the PDQ (ρ = 0.40, p = 0.018) and ISD (ρ = −0.35, p = 0.039), but not MSD (ρ = −0.22, p = 0.201). Conclusion(s) Perceived cognitive dysfunction was not associated with IIV. However, self-reported functional problems with memory were associated with perceived cognition, as well as one metric of IIV. ISD may better reflect moment to moment fluctuations that lead to difficulties with daily functioning, as opposed to MDS which may reflect underlying variation (e.g., base rates of impairment) in cognitive performance.

A - 11 Organizational Strategies and Delayed Recall in Older Adults: Insights from the Rey-Osterrieth Complex Figure Test

Abstract Objective The objective of this study was to investigate the factors that influence older adults’ ability to recall complex figure in the Rey-Osterrieth Complex Figure (ROCF) test. Method 172 participants (50% female; M = 74.64) between the ages of 60 and 100 were recruited through the Israel Interior Ministry. Participants were asked to complete the Rey-Osterrieth Complex Figure Test (ROCF), which involved two tasks: A) participants were first instructed to replicate the complex figure exactly as shown (copy task). Subsequently, they were asked to B) recall and redraw the figure after a 30-minute delay (delayed recall task). The evaluations were conducted at the participants’ homes. The participants were evaluated on three criteria: accuracy, continuation, and the symmetry. To analyze the relationship between participants’ scores on the accuracy, continuation, and symmetry, a linear regression analysis was performed. Results A linear regression model predicting delayed recall score was significant F(3,48) = 9.61, p < 0.001. Among the predictors, continuation (b = 0.75, p = 0.01) and copy scores (b = 0.39, p 0.02) displayed a significant positive relationship with delayed recall score. Conclusion(s) The ROCF test serves as a comprehensive measure of cognitive functions, such as visuospatial memory, executive and organizational abilities, and retrieval. The significant influence of organizational score underscores the important link between planning abilities and declarative memory. This supports previous findings that organizing ROCF into meaningful clusters of units during the copy task improves performance in delayed recall task.

A meta-analysis on the relationship between subjective cognitive failures as measured by thecognitive failures questionnaire (CFQ) and objective performance on executive function tasks.

The Cognitive Failures Questionnaire (CFQ) has been widely used as a measure of subjective cognitive function in everyday life for decades. However, the evidence on how it relates to objective performance on executive function tasks is mixed. One possible reason for these mixed results is that the CFQ has selective relationships with some aspects of executive function and not others. Here, therefore, we classified tasks according to an influential framework of executive functions-switching, updating, inhibition, and we also considered the Sustained Attention to Response Task (SART) as a category because it was custom designed to gauge cognitive failures. We synthesized a large body of available evidence and performed four Bayesian meta-analyses on the relationship between CFQ scores and objective performance on executive function tasks in these four categories. Results suggested that CFQ scores were associated with objective performance on SART (18 effect sizes, μ = -.19, BF10 = 18.03, i.e., 18.03 times more evidence of a relationship versus no relationship), updating working memory (49 effect sizes, μ = -.06, BF10 = 17.80), and inhibition tasks (41 effect sizes, μ = -.07, BF10 = 15.40), whereas there was not definitive evidence regarding switching (34 effect sizes, μ = -.06, BF10 = .50, i.e., two times greater evidence for no relationship). This suggests that subjective cognitive function can predict objective performance on at least some executive function tasks. We discuss methodological and theoretical factors that constrain the maximum observable correlation and consider the relative insights that subjective measures versus task performance provide.

Effect of repeated sessions of transcranial direct current stimulation on subjective and objective measures of recovery and performance in soccer players following a soccer match simulation

We investigated the effect of repeated sessions of anodal transcranial direct current stimulation (a-tDCS) on subjective and objective measures of recovery, cognitive and sport-specific performance in professional soccer players following a soccer match simulation (SMS). Sixteen soccer players participated in this randomized, crossover, and sham-controlled study. They completed baseline assessments of well-being, total quality recovery (TQR), electromyographic activity (EMG) of the thigh muscles, countermovement jump (CMJ), and cognitive and Loughborough soccer passing test (LSPT) skills. Then, the participants engaged in an SMS routine (2 × 45 min, 15-min intervals). There was no significant difference in rating of perceived exertion (RPE) during the SMS in the anodal (17.25 ± 0.85) and sham (16.93 ± 0.92) conditions (p = 0.19). Following the SMS, the participants were randomized to receive three sessions of a-tDCS (2 mA, 20 min, +F3/−F4) targeting the left dorsolateral prefrontal cortex (DLPFC) or sham immediately after, 24 h, and 48 h after the SMS. Finally, the same outcome measures were evaluated 24 and 48 h following the SMS. A two-way repeated-measures ANOVA showed that a-tDCS stimulation improved passing skills (decreased time to perform the LSPT and number of errors; all ps < 0.01; d = 0.56–2.9) and increased the feeling of well-being (p = 0.02; d = 2.8), with no effect on TQR, cognitive performance, CMJ performance, and EMG. Therefore, the results of the present study indicate, for the first time, that repeated a-tDCS could be used as an adjunct method to accelerate soccer players' well-being and technical performance recovery, particularly after congested matches and/or training sessions. These findings may also be applicable to other team sports with characteristics similar to soccer (e.g., futsal, handball, basketball, etc.).

Effects of a 6-Week Treadmill Training With and Without Virtual Reality on Frailty in People With Multiple Sclerosis

ObjectiveTo examine the effects of a cognitive-motor rehabilitation program consisting of treadmill training (TT) augmented by virtual reality (TT+VR) on frailty in people with multiple sclerosis (pwMS). DesignSecondary analysis from a multicenter randomized controlled trial investigating the effects of TT+VR, compared with TT only, on measures of mobility and cognitive function in pwMS. SettingFour university research laboratories in 3 countries. ParticipantsA total of 124 pwMS were randomized into the parent trial. Here, we studied a subset of n = 83 participants (mean age, 49.4±9.3y; 73.5% female; expanded disability status scale range, 2.0-6.0), who completed the intervention and had complete preintervention and postintervention frailty data. InterventionsParticipants were randomly allocated to TT+VR (n=44) or TT (n=39). Both groups trained 3 times a week for 6 weeks. Main Outcome MeasuresFrailty was assessed using a 40-item frailty index (FI) through standard validated procedures and represented the primary study outcome. Two exploratory frailty indices were also computed by isolating health-related deficits involving the cognitive (FI-physical) or physical (FI-cognitive) domains from the main FI. The assessments were performed at baseline and after 6 weeks, upon intervention completion. ResultsThe mean FI of study participants at baseline was 0.33±0.13, indicating a moderate average level of frailty. FI scores improved in both TT+VR and TT groups participants (pooled mean ΔFI, 0.024; 95% CI, 0.010-0.038; F=10.49; P=.002; ηp2=0.115), without any group-by-time interaction (F=0.82; P=.367; ηp2=0.010). However, a significant group-by-time interaction was found for pretraining and posttraining changes in FI-cognitive (F=5.74; P=.019; ηp2=0.066), suggesting a greater improvement for TT+VR group participants than for TT group participants. ConclusionsTT with or without virtual reality can reduce frailty levels in pwMS. While both TT and TT+VR had a positive effect on overall frailty, only TT+VR improved cognitive aspects of frailty and may represent an appropriate strategy for counteracting frailty in pwMS.

Resting-state EEG predicts cognitive decline in a neuropathologically diagnosed longitudinal community autopsied cohort

ObjectiveTo assess correlative strengths of quantitative electroencephalography (qEEG) and visual rating scale EEG features on cognitive outcomes in only autopsied cases from the Arizona Study of Neurodegenerative Disorders (AZSAND). We hypothesized that autopsy proven Parkinson Disease will show distinct EEG features from Alzheimer's Disease prior to dementia (mild cognitive impairment). BackgroundCognitive decline is debilitating across neurodegenerative diseases. Resting-state EEG analysis, including spectral power across frequency bins (qEEG), has shown significant associations with neurodegenerative disease classification and cognitive status, with autopsy confirmed diagnosis relatively lacking. MethodsBiannual EEG was analyzed from autopsied cases in AZSAND who had at least one rsEEG (>1 min eyes closed±eyes open). Analysis included global relative spectral power and a previously described visual rating scale (VRS). Linear mixed regression was performed for neuropsychological assessment and testing within 2 years of death (n = 236, 594 EEG exams) in a mixed linear regression model. ResultsThe cohort included cases with final clinicopathologic diagnoses of Parkinson's disease (n = 73), Alzheimer disease (n = 65), and tauopathy not otherwise specified (n = 56). A VRS score of 3 diffuse or frequent generalized slowing) over the study duration was associated with an increase in consensus diagnosis cognitive worsening at 4.9 (3.1) years (HR 2.02, CI 1.05–3.87). Increases in global theta power% and VRS were the most consistently associated with large regression coefficients inversely with cognitive performance measures. ConclusionResting-state EEG analysis was meaningfully related to cognitive performance measures in a community-based autopsy cohort. EEG deserves further study and use as a cognitive biomarker.

Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach.

Pupil dilation is controlled both by sympathetic and parasympathetic nervous system branches. We hypothesized that the dynamic of pupil size changes under cognitive load with additional false feedback can predict individual behavior along with heart rate variability (HRV) patterns and eye movements reflecting specific adaptability to cognitive stress. To test this, we employed an unsupervised machine learning approach to recognize groups of individuals distinguished by pupil dilation dynamics and then compared their autonomic nervous system (ANS) responses along with time, performance, and self-esteem indicators in cognitive tasks. Cohort of 70 participants were exposed to tasks with increasing cognitive load and deception, with measurements of pupillary dynamics, HRV, eye movements, and cognitive performance and behavioral data. Utilizing machine learning k-means clustering algorithm, pupillometry data were segmented to distinct responses to increasing cognitive load and deceit. Further analysis compared clusters, focusing on how physiological (HRV, eye movements) and cognitive metrics (time, mistakes, self-esteem) varied across two clusters of different pupillary response patterns, investigating the relationship between pupil dynamics and autonomic reactions. Cluster analysis of pupillometry data identified two distinct groups with statistically significant varying physiological and behavioral responses. Cluster 0 showed elevated HRV, alongside larger initial pupil sizes. Cluster 1 participants presented lower HRV but demonstrated increased and pronounced oculomotor activity. Behavioral differences included reporting more errors and lower self-esteem in Cluster 0, and faster response times with more precise reactions to deception demonstrated by Cluster 1. Lifestyle variations such as smoking habits and differences in Epworth Sleepiness Scale scores were significant between the clusters. The differentiation in pupillary dynamics and related metrics between the clusters underlines the complex interplay between autonomic regulation, cognitive load, and behavioral responses to cognitive load and deceptive feedback. These findings underscore the potential of pupillometry combined with machine learning in identifying individual differences in stress resilience and cognitive performance. Our research on pupillary dynamics and ANS patterns can lead to the development of remote diagnostic tools for real-time cognitive stress monitoring and performance optimization, applicable in clinical, educational, and occupational settings.

The relationship of neurocognitive and social cognitive performance to social competence and appropriateness on a performance-based social skills assessment in individuals with psychosis and unaffected controls

Social deficits are common in psychosis. The Social Skills Performance Assessment (SSPA) is a performance-based measure used to approximate an individual's social skills. Those with psychosis perform worse than do unaffected controls. Prior work has examined two social skills domains derived from the SSPA: social competence and social appropriateness. Social competence and appropriateness are associated with neurocognition and functioning outcomes. However, no study to date has examined the relationship of social cognition to social competence and appropriateness. We aimed to examine the relationships among different aspects of social cognition and performance-based social functioning and hypothesized that social cognitive performance would be related to social competence and appropriateness. We also hypothesized that after controlling for neurocognition, social cognition would account for unique variance in social competence and appropriateness in separate regression models. Forty-one participants who had experienced psychosis and 42 unaffected controls completed a comprehensive battery of neurocognitive, social cognitive, and social functioning measures. Social competence was associated with neurocognition and some aspects of social cognition, while social appropriateness was only marginally associated with neurocognition. Regression models revealed that social cognition did not account for additional and unique variance in social competence or appropriateness, after adjusting for demographic covariates and neurocognition. Findings suggest that aspects of social functioning performance are differentially related to neurocognitive and social cognitive skills. Social skill interventions may be most effective when targeting both neurocognitive and social cognitive skills in treatment.

The time to include cognition in the multiple sclerosis concept of progression independent from relapse activity is now

Progression independent of relapse activity (PIRA) has been recently proposed in multiple sclerosis (MS) as a model identifying a continuous silent progression of disability without the manifestation of new clinical and magnetic resonance imaging (MRI) events that contribute to MS worsening. Despite evidence suggesting that clinical MS manifestations often affect cognitive functioning and the importance of neuropsychological monitoring over time, attention to silent cognitive progression is lacking, and the PIRA concept does not include a measure of cognitive function. In this personal viewpoint, we highlight the need to include cognition in the PIRA model to have a more comprehensive understanding of clinical progression in patients with MS.

Subjective and objective measures of cognitive function are correlated in persons with Post-COVID-19 Condition: a secondary analysis of a Randomized Controlled Trial.

It remains unclear whether subjective and objective measures of cognitive function in Post COVID-19 Condition (PCC) are correlated. The extent of correlation has mechanistic and clinical implications. This post-hoc analysis of a randomized, double-blind, placebo-controlled clinical trial contains baseline data of subjective and objective measures of cognition in a rigorously characterized cohort living with PCC. Herein, we evaluated the association between subjective and objective condition function, as measured by the Perceived Deficits Questionnaire, 20-item (PDQ-20) and the Digit Symbol Substitution Test (DSST) and Trails Making Test (TMT)-A/B, respectively. A total of 152 participants comprised the baseline sample. Due to missing data, our statistical analyses included 150 for self-reported PDQ-20, 147 individuals for combined DSST-measured cognitive function (composite z-score of the Pen/Paper plus Online CogState Version, NcombinedDSST), 71 for in-person DSST-measured cognitive function (Pen/Paper Version), 70 for TMT-A-measured cognitive function, and 70 for TMT-B-measured cognitive function. After adjusting for age, sex, and education, PDQ-20 was significantly correlated with pen-and-paper DSST (β = -0.003, p = 0.002) and TMT-B (β = 0.003, p = 0.008) scores, but not with TMT-A scores (β = -0.001, p = 0.751). Overall, a statistically significant correlation was observed between subjective and objective cognitive functions. Clinicians providing care for individuals with PCC who have subjective cognitive function complaints may consider taking a measurement-based approach to cognition at the point of care that focuses exclusively on patient-reported measures.

Clinical profiles and functional outcomes in elderly stroke survivors undergoing neurorehabilitation: a retrospective cohort study

BackgroundThis retrospective study characterizes clinical profiles and evolution of elderly stroke patients undergoing neurorehabilitation. Additionally, it identifies predictors of functional outcomes and hospital length of stay (LOS). For this purpose, patients aged ≥ 60 years admitted for neurorehabilitation within 6 months post-stroke, were recruited between January 2015 and August 2022. Rehabilitation profiles were identified using two-step clustering analysis, including the Modified Rankin Score (mRS), the National Institutes of Health Stroke Scale (NIHSS) and the motor and cognitive Functional Independence Measure (m-FIM and c-FIM) upon admission. FIM-effectiveness was calculated as (FIM-discharge−FIM-admission)/(maximum FIM−FIM-admission). Linear regression analyses were conducted to identify predictors of functional outcomes and LOS (days).ResultsThe study enrolled 104 patients (68 male; mean age = 69.45 ± 6.5 years). Three clusters were identified: “Moderate” [NIHSS = 7.70 ± 3.21, motor-FIM = 59.42 ± 12.24, cognitive-FIM = 26.96 ± 4.69, mRS = 4 (4–4), aphasia = 41.7%, severe dysphagia = 4.2%, LOS = 45 (33.25–59) days]; “Moderate-severe” [NIHS = 10.40 ± 3.23, motor-FIM = 28.00 ± 7.74, cognitive-FIM = 25.92 ± 6.55, mRS = 4 (4–5), aphasia = 13%, severe dysphagia = 6.4%, LOS = 61 (45–92) days]; and “Severe” group [NIHS = 18.76 ± 4.19, motor-FIM = 16.12 ± 6.69, cognitive-FIM = 10.58 ± 4.14, mRS = 5 (5–5), aphasia = 60.6%, severe dysphagia = 42.4%, LOS = 71 (60.5–97.5) days]. The motor and cognitive FIM effectiveness significantly improved in the “Moderate” (m-FIM-effectiveness = 33.70 [12.16–53.54]; c-FIM-effectiveness = 33.3 [0–50.0]) and “Moderate-severe” cluster (m-FIM-effectiveness = 31.15 [10.34–46.55]; c-FIM-effectiveness = 33.3[0–63.16]) compared to the “Severe” cluster (m-FIM-effectiveness = 5.77 [0–18.77]; c-FIM-effectiveness = 4.65 [0–22.30]) (p = 0.001 and p = 0.025), whereas aphasia and dysphagia improved in all groups (p > 0.1). Severe stroke (NIHSS) (β = 0.33, p < 0.001), greater functional dependence (mRS) (β = 0.24, p = 0.013), presenting dysphagia (β = 0.30, p = 0.002), neuropathic pain (β = 0.22, p = 0.02), depression (β = 0.29, p = 0.003) or in-hospital infections (β = 0.23, p = 0.02) predicted higher LOS.ConclusionsPatient clustering proves valuable in identifying distinct stroke rehabilitation profiles. Low FIM on admission, severe dysphagia, in-hospital infections, and psychotropic medication use, predicted poor functional outcomes and longer hospitalization.

Impact of VR-Based Cognitive Training on Working Memory and Inhibitory Control in IDD Young Adults.

Young people with intellectual developmental disabilities have a persistent delay in the development of executive functions. Virtual reality (VR) is increasingly being used as a cognitive intervention tool, with significant effectiveness demonstrated in different types of populations. This pilot study aims to investigate the impact of a cognitive training program utilizing VR on young adults diagnosed with intellectual developmental disabilities (IDDs). The participants (N = 15) served as their own control group and were assessed three times: weeks 0, 8, and 16, with a rest period (0-8 weeks) and an intervention period (8-16 weeks). The assessments included measures of cognitive function provided by E-Prime® (Version 3). Overall, an improvement in working memory and inhibitory control was found after the intervention, but not in sustained attention. These findings suggest that VR-based cognitive training holds promise as an effective intervention for enhancing cognitive abilities in young adults with intellectual developmental disabilities. This study provides a foundation for future investigations into VR's role in cognitive rehabilitation and its potential to support daily living skills and overall quality of life for individuals with IDDs. Further research is needed to explore the long-term effects and broader applicability of VR interventions.