Archives of Clinical Neuropsychology最新文献

Objective: Allelic variation in the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism has been shown to moderate rates of cognitive decline in preclinical sporadic Alzheimer's disease (AD; i.e., Aβ + older adults), and pre-symptomatic autosomal dominant Alzheimer's disease (ADAD). In ADAD, Met66 was also associated with greater increases in CSF levels of total-tau (t-tau) and phosphorylated tau (p-tau181). This study sought to determine the extent to which BDNF Val66Met is associated with changes in episodic memory and CSF t-tau and p-tau181 in Aβ + older adults in early-stage sporadic AD.

Method: Aβ + Met66 carriers (n = 94) and Val66 homozygotes (n = 192) enrolled in the Alzheimer's Disease Neuroimaging Initiative who did not meet criteria for AD dementia, and with at least one follow-up neuropsychological and CSF assessment, were included. A series of linear mixed models were conducted to investigate changes in each outcome over an average of 2.8 years, covarying for CSF Aβ42, APOE ε4 status, sex, age, baseline diagnosis, and years of education.

Results: Aβ + Met66 carriers demonstrated significantly faster memory decline (d = 0.33) and significantly greater increases in CSF t-tau (d = 0.30) and p-tau181 (d = 0.29) compared to Val66 homozygotes, despite showing equivalent changes in CSF Aβ42.

Conclusions: These findings suggest that reduced neurotrophic support, which is associated with Met66 carriage, may increase vulnerability to Aβ-related tau hyperphosphorylation, neuronal dysfunction, and cognitive decline even prior to the emergence of dementia. Additionally, these findings highlight the need for neuropsychological and clinicopathological models of AD to account for neurotrophic factors and the genes which moderate their expression.

Purpose: To assess levels and predictive factors of health-related quality of life (HRQOL) among stroke patients.

Methods: The study employed a cross-sectional predictive correlational design. Levels of HRQOL were assessed using the Stroke-Specific Quality of Life (SS-QOL) scale, and the Hospital Anxiety and Depression Scale was employed to assess psychological aspects among 209 Saudi stroke patients. The analysis included demographic and medical variables to comprehensively explore influencing factors.

Results: A two-step hierarchical multiple regression analysis was performed. The overall SS-QOL summary score (49 items) showed a mean score of 94.4 (SD = 8.1), indicating poor functioning. Nine predictor variables were found to significantly predict HRQOL levels, including age (β = -0.212, p ≤ .001), female (β = -5.33, p ≤ .001), unmarried (β = 2.48, p ≤ .001), low gross monthly income (GMI) (β = -9.02, p ≤ .001), medium GMI (β = -8.36, p ≤ .001), having a medical history of hypertension (β = 2.7, p ≤ .01), time since stroke (β = 3.26 p ≤ .001), and being a probable case of anxiety (β = -4.29, p ≤ .001) and/or depression (β = -2.75, p ≤ .001). These variables collectively explained ~76% of the variance in HRQOL scores (adjusted R2 = .762, F (16,192) = 42.6, p ≤ .001).

Conclusions: Stroke patients exhibited poor HRQOL levels influenced by various factors. Clinicians should consider these predictors and intervene early to enhance HRQOL among patients at risk, emphasizing the importance of optimizing patient outcomes.

Objective: Autoimmune encephalitis includes a heterogeneous group of rare and complex diseases, usually presenting with severe and disabling symptoms, such as behavioral changes, cognitive deficits, and seizures.

Method: This report presents the case of a 26-year-old man who was diagnosed with autoimmune encephalitis following SARS-CoV-2 vaccination (<40 days). Symptoms first appeared in February 2022 with a temporal seizure, associated with confusion and memory loss. Psychiatric manifestations such as disorientation and altered thought contents emerged soon after.

Results: Neuroimaging testing showed signs of hypometabolism in occipital, prefrontal, and temporal regions, whereas an extensive neuropsychological assessment revealed the presence of multiple alterations in memory, executive, and visuoconstructive processes.

Conclusions: In this case, a combination of neuroimaging testing, psychiatric evaluation, and neuropsychological assessment provided evidence for a diagnosis of autoimmune encephalitis post-vaccination. Early recognition is essential in order to prevent clinical progression; avoid intractable epilepsy, brain atrophy, and cognitive impairment; and improve prognosis.

Superagers are 80 to 89-year-olds with average or better cognition and memory equivalent to individuals 20 to 30 years younger. As sex and modifiable lifestyle/health factors influence cognitive aging and dementia risk, we examined their impact on superager status. Data from participants (n = 469; 67% female) aged 80-89 years old were analyzed from an online database that included demographic and dementia risk factors, and performance on tasks assessing working memory, cognitive inhibition, associative memory, and set shifting. Cross-sectional comparisons were made between superagers and those with typical-for-age cognitive abilities (typical-agers) to examine relationships between sex, superager status, and dementia risk factors. Females performed better than age-matched males on the associative memory task in the 50-69 years old group used for normative comparisons, and in the 80-89 years old group (ps < .001). More females than males were classified as superagers using non-sex-stratified normative comparisons (p = .009), and in sex-stratified normative comparisons (p = .022). Total weighted dementia risk reduced odds of superager status (OR = 0.199, 95% CI [0.046, 0.829]). Other lifestyle dementia risk factors were unrelated to superager status or could not be tested due to low endorsement. The findings support observations that superaging is more common in females, even when controlling for sex differences in memory performance. Future studies of superagers should account for sex differences. Results support being ambitious about dementia prevention, as having fewer modifiable dementia risk factors may be positively associated with superager status.

Objective: The effects of stimulation frequency on verbal fluency (VF) following subthalamic nucleus deep brain stimulation (STN-DBS) in Parkinson's disease (PD) are not well understood. The present study examines the impact stimulation frequency has on VF following bilateral STN-DBS in PD.

Methods: Prospective study of 38 consecutive patients with PD with low frequency STN-DBS (LFS) (n = 10) and high frequency STN-DBS (HFS) (n = 14), and a non-operated PD control group consisting of patients with fluctuating response to dopaminergic medication (n = 14) homogeneous in age, education, disease duration, and global cognitive function. Patients were evaluated on VF tasks (letter, semantic, action verbs, alternating). A one-way analysis of variance (ANOVA) was conducted to assess distinctions between groups. Pre- and post-surgical comparisons of fluencies were performed for operated groups. A mixed ANOVA was applied to the data to evaluate the interaction between treatment (HFS vs. LFS) and time (pre- vs. post-surgery). Strategy use (clustering and switching) was evaluated.

Results: Semantic and letter fluency performance revealed significant differences between HFS and LFS groups. Pre- and post-surgical comparisons revealed HFS negatively affected letter, semantic, and action fluencies, but LFS had no effect on VF. No interaction effect or main effect of treatment was found. Main effect of time was significant for semantic and action fluencies indicating a decrease in postoperative fluency performance. Patients with LFS produced larger average cluster sizes than patients with HFS.

Conclusion: LFS may be less detrimental to VF, but these findings suggest that VF decline following STN-DBS is not caused by stimulation frequency alone.

Objective: Subjective cognitive symptoms are commonly reported after mild traumatic brain injury (mTBI) but are often not associated with objective cognitive performance. This may be due to limitations in traditional cognitive performance measures, which may not be sensitive to subtle variations in cognition in post-acute mTBI. This study explored associations between objective and subjective cognition using computer-based tasks of increasing cognitive load, proposed to be more sensitive to subtle differences in performance.

Method: Individuals with mTBI (n = 68) and trauma controls (n = 40) were prospectively recruited and assessed approximately 8 weeks post-injury. Participants completed measures of subjective symptom reporting, objective cognitive performance (including two computer-based tasks of increasing cognitive load), and psychological distress.

Results: There were no significant associations between subjective and objective cognition reporting in the mTBI group, both in bivariate correlations (|r| = 0.01-0.20, p > .05) and when controlling for psychological distress (|r| = 0.00-0.17, p > .05). A similar pattern of results was observed in trauma controls, suggesting that the limited relationships between objective and subjective cognition in mTBI may not be specific to this population.

Conclusions: Despite employing measures of cognitive performance proposed to be more sensitive than traditional tasks, no significant relationships were observed between objective and subjective cognition in post-acute mTBI, and estimated effect sizes were small to negligible. This provides further evidence that at a group level 8 weeks after mTBI subjective cognitive symptoms primarily reflect factors aside from objective cognition.

Objective: To examine baseline neurocognitive functioning among adolescent athletes on the autism spectrum based on self-reported level of academic performance.

Method: Participants in this cross-sectional, observational study were 6,441 adolescent athletes with a self-reported diagnosis of autism who completed pre-season neurocognitive testing using Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT); 4,742 reported a co-occurring learning disorder (LD), and 6,612 individuals without autism or LD were included as a control group. The majority (57%) self-reported Average Academic Performance, 39% Above Average, and 4% Below Average performance.

Results: Athletes with self-reported autism (with or without LD; 12.2%) were 2.74x (95% CI: 2.17-2.82) more likely to fall below cutoffs for ImPACT Embedded Invalidity Indicators (EVIs), with a significant interaction between self-reported Diagnosis and Academic Performance; individuals with co-occurring autism and LD who reported Below Average Academic Performance had the greatest likelihood of scoring below cutoffs (22%), followed by ASD without LD (14.8%) and Controls (14.6%) with Below Average Academic Performance. Analyses of variance (ANOVAs) revealed main effects of Diagnosis and Academic Performance on neurocognitive performance, with interactions on all ImPACT Composite Scores except Processing Speed.

Conclusion: Athletes with self-reported ASD are more likely to fall below ImPACT EVIs and score worse on ImPACT, with greater likelihood/worse performance related to level of academic functioning. Academic performance should be considered when interpreting neurocognitive testing data, to best index neuropsychological functioning associated with concussion in this population. The current findings highlight the importance of individual participant baseline neuropsychological testing for individuals on the autism spectrum.

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: 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.