Archives of Clinical Neuropsychology最新文献

Objective: To investigate the relationship between coping mechanisms in people with multiple sclerosis (MS, pwMS) and cognitive, physical, and psychosocial factors such as socio-demographic characteristics, disability, personality, stigma, quality of life, depression, and anxiety.

Method: One hundred and two pwMS were enrolled in this cross-sectional study. Demographics and clinical characteristics were recorded. Coping with the MS Scale (CMSS), including seven subscales, which are problem-solving, physical assistance, acceptance, avoidance, personal health control, energy conservation, and emotional release, was used to measure coping. Anxiety and depression levels, stigma, neuropsychological symptoms, and personality were measured by the Hospital Anxiety and Depression Scale (HAD), EuroQol-5D Quality of Life Scale (EQ-5D), Quality of Life in Neurological Diseases (NeuroQoL) -Stigma Scale, Multiple Sclerosis Neuropsychological Questionnaire (MSNQ), and Revised Eysenck Personality Questionnaire-Abbreviated Form (EKA-GGK), respectively.

Results: There was a weak statistically significant positive correlation between the physical support subscale and age and the disease duration and a strong positive correlation with EDSS (r = .214, p = .035; r = .213, p = .036; r = .582, p ≤ .0001, respectively). There was a moderate negative relationship between the physical support subscale and the EQ-5D mobility, self-care, pain, and health subscales (r = -.434, p = .000; r = -.482, p = .000; r = -.526, p ≤ .001, respectively), a weak negative correlation with anxiety, and a strong negative relationship with usual activities (r = -.379, p ≤ .001; r = -.243, p = .017; r = -.384, p ≤ .001, respectively).

Conclusion: It has been shown that coping with MS can be affected by cognitive, physical, and psychosocial factors.

Objective: To systematically review the current status and influencing factors of psychological resilience in stroke patients and to provide a theoretical basis for future personalized rehabilitation support and psychological interventions.

Method: This systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist. A comprehensive search of databases including PubMed, Web of Science, Medline, PsycINFO, CINAHL, Cochrane Library, CNKI, VIP, CMB, and WANGFANG was conducted from inception until November 22, 2023, resulting in the retrieval of 2099 studies. Literature screening and data extraction were performed by two independent evaluators based on pre-defined inclusion and exclusion criteria, and meta-analysis was performed using Review Manager 5.4 software.

Results: The final review included 23 studies. The results showed that self-efficacy, hope, confrontation coping, avoidance coping, functional independence, quality of life, and social support were positively associated with psychological resilience. Conversely, anxiety, depression, and resignation coping were negatively associated with psychological resilience.

Conclusions: Patients with stroke have a low level of psychological resilience, which was influenced by a variety of factors. However, longitudinal and large sample studies are needed to further confirm these findings. These results should be integrated into clinical practice for early assessment and targeted intervention in psychological resilience to assist patients in coping with the rehabilitation process and life changes after a stroke.

Objective: High demand for pediatric neuropsychological care has highlighted the time- and resource-intensive nature of traditional comprehensive evaluations. Emerging care models address these constraints by facilitating tiered neuropsychological services provided in various contexts, including multidisciplinary clinics (MDCs). We aim to demonstrate feasibility and acceptability of tiered neuropsychological care in MDCs through examples from a single institution.

Methods: A review of all current MDC practices at a tertiary pediatric care center was conducted to describe clinic workflow, services provided, and triage strategies. Pediatric neuropsychologists (n = 5) and other health care providers (n = 31) completed a survey focused on experience with neuropsychology consultation in MDCs.

Results: Neuropsychologists provided care in 11 MDCs, including universal monitoring with consultative interviews and questionnaires, as well as targeted screening. Neuropsychologists (89%) and other health professionals (100%) reported that tiered neuropsychological services improved patient care within MDCs. Other health professionals reported utilizing results from neuropsychology MDC care to inform their clinical approach (48-90%), referrals (58%), and treatment or surveillance decisions (55-71%).

Conclusion: Tiered neuropsychological care in pediatric MDCs is feasible, and provider experience ratings indicate high acceptability. Practical steps for development of MDCs are provided, including identifying teams, clinic goals and outcomes, operational logistics, and billing.

Objective: The Clock Drawing Test (CDT) is a widely used test for cognitive screening as its execution taps into a large number of cognitive functions. Because of the involvement of visuospatial abilities, the CDT is also commonly used to assess hemispatial neglect. In the present study, we introduce a new quantitative scoring method for the CDT that aims to measure the use of space for each half of the clock face and asymmetries of space use.

Method: Two measures are introduced: the explored space (ES) and used space (US) for each half of the clock, as well as two derived asymmetry indices. Such new measures were applied to CDTs of four groups of participants: right brain-damaged patients without visuospatial neglect, two groups of right brain-damaged patients with varying degrees of visuospatial neglect, and a group of neurologically healthy participants.

Results: Analyses showed that only neglect patients explored and used the left clock half significantly less than the right one. This result was also confirmed by the asymmetry indices, where neglect patients showed a stronger rightward bias. For neglect patients, the US asymmetry index correlated with the patients' scores on the neuropsychological tests. The analyses of receiver operating characteristic curves showed that left US and left ES scores had good accuracy in categorizing neglect patients.

Conclusions: The present work provides new quantitative indices of CDT space usage in hemispatial neglect. Cutoffs are provided for clinical practice.

Objective: Assess the feasibility and concurrent validity of a modified Uniform Data Set version 3 (UDSv3) for remote administration for individuals with normal cognition (NC), mild cognitive impairment (MCI), and early dementia.

Method: Participants (N = 93) (age: 72.8 [8.9] years; education: 15.6 [2.5] years; 72% female; 84% White) were enrolled from the Wake Forest ADRC. Portions of the UDSv3 cognitive battery, plus the Rey Auditory Verbal Learning Test, were completed by telephone or video within ~6 months of participant's in-person visit. Adaptations for phone administration (e.g., Oral Trails for Trail Making Test [TMT] and Blind Montreal Cognitive Assessment [MoCA] for MoCA) were made. Participants reported on the pleasantness, difficulty, and preference for each modality. Staff provided validity ratings for assessments. Participants' remote data were adjudicated by cognitive experts blinded to the in person-diagnosis (NC [N = 44], MCI [N = 35], Dementia [N = 11], or other [N = 3]).

Results: Remote assessments were rated as pleasant as in-person assessments by 74% of participants and equally difficult by 75%. Staff validity rating (video = 92%; phone = 87.5%) was good. Concordance between remote/in-person scores was generally moderate to good (r = .3 -.8; p < .05) except for TMT-A/OTMT-A (r = .3; p > .05). Agreement between remote/in-person adjudicated cognitive status was good (k = .61-.64).

Conclusions: We found preliminary evidence that older adults, including those with cognitive impairment, can be assessed remotely using a modified UDSv3 research battery. Adjudication of cognitive status that relies on remotely collected data is comparable to classifications using in-person assessments.

Objective: The focus of this study is on providing tools to enable researchers and practitioners to screen for dyslexia in adults entering university. The first aim is to validate and provide diagnostic properties for a set of seven tests including a 1-min word reading test, a 2-min pseudoword reading test, a phonemic awareness test, a spelling test, the Alouette reading fluency test, a connected-text reading fluency test, and the self-report Adult Reading History Questionnaire (ARHQ). The second, more general, aim of this study was to devise a standardized and confirmatory procedure for dyslexia screening from a subset of the initial seven tests. We used conditional inference tree analysis, a supervised machine learning approach to identify the most relevant tests, cut-off scores, and optimal order of test administration.

Method: A combined sample of 60 university students with dyslexia (clinical validation group) and 65 university students without dyslexia (normative group) provided data to determine the diagnostic properties of these tests including sensitivity, specificity, and cut-off scores.

Results: Results showed that combinations of four tests (ARHQ, text reading fluency, phonemic awareness, pseudoword reading) and their relative conditional cut-off scores optimize powerful discriminatory screening procedures for dyslexia, with an overall classification accuracy of approximately 90%.

Conclusions: The novel use of the conditional inference tree methodology explored in the present study offered a way of moving toward a more efficient screening battery using only a subset of the seven tests examined. Both clinical and theoretical implications of these findings are discussed.

Objective: Given the rapid shift to in-home teleneuropsychology models, more research is needed to investigate the equivalence of non-facilitator models of teleneuropsychology delivery for people with younger onset dementia (YOD). This study aimed to determine whether equivalent performances were observed on neuropsychological measures administered in-person and via teleneuropsychology in a sample of people being investigated for YOD.

Method: Using a randomized counterbalanced cross-over design, 43 participants (Mage = 60.26, SDage = 7.19) with a possible or probable YOD diagnosis completed 14 neuropsychological tests in-person and via teleneuropsychology, with a 2-week interval. Repeated measures t-tests, intraclass correlation coefficients (ICC), and Bland Altman analyses were used to investigate equivalence across the administration conditions.

Results: No statistical differences were found between in-person and teleneuropsychology conditions, except for the Hospital Anxiety and Depression Scale Anxiety subtest. Small to negligible effect sizes were observed (ranging from .01 to .20). ICC estimates ranged from .71 to .97 across the neuropsychological measures. Bland Altman analyses revealed that the Wechsler Adult Intelligence Scale-Fourth Edition Block Design subtest had slightly better overall performance in the in-person condition and participants reported higher levels of anxiety symptoms during the teleneuropsychology condition; however, average anxiety symptoms remained within the clinically normal range. Participants reported a high level of acceptability for teleneuropsychology assessments.

Conclusions: These results suggest that performances are comparable between in-person and teleneuropsychology assessment modalities. Our findings support teleneuropsychology as a feasible alternative to in-person neuropsychological services for people under investigation of YOD, who face significant barriers in accessing timely diagnoses and treatment options.

Objective: The percentage of older adults living into their 80s and beyond is expanding rapidly. Characterization of typical cognitive performance in this population is complicated by a dearth of normative data for the oldest old. Additionally, little attention has been paid to other aspects of health, such as motor, sensory, and emotional functioning, that may interact with cognitive changes to predict quality of life and well-being. The current study used the NIH Toolbox (NIHTB) to determine age group differences between persons aged 65-84 and 85+ with normal cognition.

Method: Participants were recruited in two age bands (i.e., 65-84 and 85+). All participants completed the NIHTB Cognition, Motor, Sensation, and Emotion modules. Independent-samples t-tests determined age group differences with post-hoc adjustments using Bonferroni corrections. All subtest and composite scores were then regressed on age and other demographic covariates.

Results: The 65-84 group obtained significantly higher scores than the 85+ group across all cognitive measures except oral reading, all motor measures except gait speed, and all sensation measures except pain interference. Age remained a significant predictor after controlling for covariates. Age was not significantly associated with differences in emotion scores.

Conclusions: Results support the use of the NIHTB in persons over 85 with normal cognition. As expected, fluid reasoning abilities and certain motor and sensory functions decreased with age in the oldest old. Inclusion of motor and sensation batteries is warranted when studying trajectories of aging in the oldest old to allow for multidimensional characterization of health.

Objective: The United States Centers for Disease Control and Prevention (CDC) conducted the Adolescent Behavior and Experiences Survey (ABES) to examine disruption and adversity during the COVID-19 pandemic. We examined the association between social determinants of health (SDoH) and cognitive problems attributed to physical or mental health problems among high school students.

Method: The ABES was an online survey. Perceived cognitive problems were assessed with the question: "Because of a physical, mental, or emotional problem, do you have serious difficulty concentrating, remembering, or making decisions?" A SDoH index was created by summing endorsements to 12 variables.

Results: Participants were 6,992 students, age 14-18, with 3,294 boys (47%) and 3,698 girls (53%). Many adolescents reported experiencing cognitive problems (i.e., 45%), with girls (56%) more likely to report cognitive difficulties than boys (33%) [χ2(1) = 392.55, p < 0.001]. Having poor mental health was strongly associated with cognitive problems in both girls [81%, χ2(1, 3680) = 650.20, p < 0.001] and boys [67%, χ2(1, 3267) = 418.69, p < 0.001]. There was a positive, linear association between the number of SDoH experienced and reporting cognitive problems. Binary logistic regressions were used to identify predictors of cognitive difficulty for both boys and girls (e.g., being bullied electronically, experiencing food insecurity during the pandemic, being treated unfairly because of their race or ethnicity, and being in a physical fight).

Conclusions: A strikingly high proportion of adolescents reported experiencing problems with their cognitive functioning. After adjusting for current mental health problems, several SDoH remained associated with adolescents' reported cognitive difficulties, including experiencing racism, bullying, parental job loss, and food insecurity.

Objective: To establish the minimal detectable change (MDC) of the subtests that comprise the composite scores from remotely administered Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) baselines.

Method: Remote ImPACT baseline data from 172 (male = 45, female = 127) National Collegiate Athletic Association Division I student-athletes from the 2020 and 2021 athletic preseasons were used to calculate the MDC at the 95%, 90%, and 80% confidence intervals (CIs) for all subtest scores used to generate the four core composite scores and the impulse control composite.

Results: The MDCs for the verbal memory subtests at the 95% CI were 10.31 for word memory percent correct, 4.68 for symbol match total correct hidden, and 18.25 for three letters percentage correct. Visual memory subtest MDCs were 19.03 for design memory total percent correct and 4.90 for XO total correct memory. Visual motor speed subtest MDCs were 18.89 for XO total correct interference and 5.40 for three letters average counted correctly. Reaction time (RT) MDCs were 0.12 for XO average correct, 0.95 for symbol match average correct RT, and 0.28 for color match average correct. Impulse control MDCs were 5.97 for XO total incorrect and 1.15 for color match total commissions. One-way repeated measures MANOVA, repeated measures ANOVAs, and Wilcoxon signed-ranks test all suggested no significant difference between any subtests across two remote ImPACT baselines.

Conclusions: The ImPACT subtest scores did not significantly change between athletic seasons. Our study suggests the subtests be evaluated in conjunction with the composite scores to provide additional metrics for clinical interpretation.