Journal of clinical and experimental neuropsychology最新文献

Background: The burden of Alzheimer's disease and related dementias (AD/ADRD) in Costa Rica is expected to become one of the highest in the region. Early detection will help optimize resources and improve primary care interventions. The Montreal Cognitive Assessment (MoCA) has shown good sensitivity for detecting mild cognitive impairment (MCI), but specificity varies depending on the population. This motivated the analysis of different cutoffs to minimize false-positive classifications in a Costa Rican sample for its use in clinical settings.

Methods: Data was analyzed from 516 memory clinic outpatients (148 cognitively normal, 260 MCI, 108 mild AD/ADRD; mean age 66.3 ± 10.8 years) who underwent complete neurological and neuropsychological assessment and were diagnosed by consensus. Optimal MoCA cutoff scores were identified using a multiple cutoff approach.

Results: Overall, a cutoff score of ≥ 23 showed better accuracy to distinguish between normal cognition (NC) and MCI (sensitivity 73%, specificity 83%). When analyzed by educational levels, a cutoff score of ≥ 21 showed better accuracy for ≤ 6 years (sensitivity 80%, specificity 76%), ≥23 for 7-12 years (sensitivity 86%, specificity 76%) and ≥ 24 for > 12 years (sensitivity 70%, specificity 85%). For distinguishing MCI from mild AD/ADRD, the optimal overall cutoff score was ≥ 15 (sensitivity 66%, specificity 85%). When stratified by years of education, cutoff scores of ≥ 14 showed better accuracy for ≤ 6 years (sensitivity 70%, specificity 88%), ≥15 for 7-12 years (sensitivity 46%, specificity 95%) and ≥ 17 for > 12 years (sensitivity 67%, specificity 93%).

Conclusions: A MoCA cutoff score of ≥ 23 in the Costa Rican population showed better diagnostic accuracy for detecting MCI and may reduce the false positive rate. Our findings may be helpful for primary care clinical settings and further referral criteria.

Introduction: Cognitive impairment is a highly impactful consequence of traumatic brain injury (TBI) and there are limited evidence-based treatment practices to combat these impairments. Evidence from other populations suggest that aerobic exercise training (AET) is beneficial for a variety of cognitive deficits, but the research in persons with TBI to date is equivocal. One potential reason is the heterogeneity of exercise prescriptions and outcome measures. This stems from the fact that studies have not been designed based on previous data supporting a specific AET prescription to target a cognitive domain. The primary purpose of this cross-sectional analysis was to examine the relationship between cardiorespiratory fitness (CRF), as a cross-sectional surrogate of AET, and cognition in persons with TBI to inform future research.

Methods: Cross-sectional analysis was conducted on baseline data of persons with TBI who completed neuropsychological assessments to evaluate several cognitive domains and a cardiopulmonary exercise test (CPET) to measure CRF. Based on the normal distribution of an outcome, Pearson's r or Spearman's ρ was calculated to measure the relationship between CRF and cognition.

Results: Data were analyzed for all participants who demonstrated valid CPETs (n = 21 of 29). Based on the cycle ergometer-based norms of CRF, males in this sample were in the 69th percentile and females in this sample were in the 56th percentile, with high variability across individuals. Higher CRF, as measured by peak power output (W_peak), was significantly associated with greater working memory (ρ = 0.465, p = 0.017), even after post-hoc corrections.

Conclusions: These data suggest average and highly variable CRF in persons with TBI of all severity and support cycle ergometry-based CPET testing in this population. Further, these data provide support for future research applying AET to target working memory and possibly other executive functions in persons with TBI. This research is a small step toward large-scale randomized controlled trials that can directly impact clinical care to treat cognitive symptoms post-TBI.

As the literature related to cognitive reserve (CR) in individuals with frontotemporal dementia (FTD) is only emerging, a clear consensus on the relationship among CR proxies, brain status, and clinical performance has not been reached. The primary aim of this systematic review was to examine the relationship among sociobehavioral proxies of CR, brain status, and clinical performance in individuals with various types of FTD. Additionally, characteristics of patient population, sociobehavioral proxies, disease severity tools, and brain status measures used were identified. The systematic review was conducted using comprehensive search terms in Medline, PsychINFO, PubMed, and Web of Science. Eligibility criteria were for studies to include at least one CR and one brain status measure for individuals with FTD, be published in a peer-reviewed journal, and be published in English. The Newcastle-Ottawa Quality Assessment Scale was used to assess study quality and bias risk. A total of 237 titles and abstracts were screened, with 13 studies meeting inclusion criteria. Together, these studies report 1,423 participants with FTD. Based on the included studies, partial support was demonstrated for CR in individuals with FTD when education, occupation, and leisure were utilized as CR proxies. The variability in results among studies could be related to the different tools used to measure CR, brain status, and disease severity. This review provides recommendations for future studies: incorporating longitudinal designs, in depth neuropsychological testing, consistent disease duration measure, and transparant statistical output reporting.

Background: Cognitive fatigue is a complex psychobiological state whereby task performance cannot be maintained. Return-to-work protocols typically rely on self-report measures, therefore the current systematic review aimed to identify "real-time" measures of objective cognitive fatigue to inform return-to-work protocols.

Methods: Studies were included if participants were at least 18 years old, assessed "real-time" objective cognitive fatigue that could be used outside of the lab (neuroimaging measures were, therefore, excluded), used an induction task that was separate to the measurement, were adequately powered, compared objective cognitive fatigue at baseline and post-induction, and included a cognitive fatigue induction task that was at least 30 minutes long.Nine electronic databases were searched until 31 December 2022 (MEDLINE; PsychArticle; PubMED, ProQuest; ProQuest for gray literature; Google Scholar; The Cochrane Library; The Health Technology Assessment Database; and Web of Science), with alerts set up on Google Scholar to notify of new relevant research since this date (reviewed until December 2023). The checklist for quasi-experimental studies (Joanna Briggs Institute, 2014) was used to assess the risk of bias. Whilst a meta-analysis was planned, the data were unsuitable so only a narrative synthesis was conducted.

Results: Fifty-seven studies were included, which were conducted within a variety of settings including naturalistic work scenarios, driving, aviation, and artificial computer-based tasks.Whilst the review found a range of potential measurements, there were inconsistencies in findings across studies highlighting the need for more research into the reliable measurement of objective cognitive fatigue in natural settings.

Discussion: The findings suggest that eye- and body-related measures may be sensitive measures of objective cognitive fatigue. However, comparisons across measurement types should be cautiously interpreted because eye-related and cognitive measures were far more common. The review highlighted the need for more consistent and transparent reporting across the field to advance our understanding of cognitive fatigue.

Objectives: Compared to the number of performance validity measures, the range of available symptom validity measures is limited. The Self-Report Symptom Inventory (SRSI) is a recently developed freestanding symptom validity test with promising psychometric characteristics for use on non-criminal forensic and a range of clinical populations. The goal of this study was to evaluate the utility of the SRSI for symptom validity testing in the clinical evaluation of adults with attention-deficit/hyperactivity disorder (ADHD).

Methods: This analogue study compared 76 German patients diagnosed with ADHD (age range 19-63 years) with typically developing individuals from the Netherlands/Germany who were assigned to either a control group (N = 58; age range 18-73 years) or a simulation group (N = 46; age range 18-57 years). All participants completed the Conners' Adult ADHD Rating Scale (CAARS) with its two embedded validity indicators Infrequency Index (CII) and ADHD Credibility Index (ACI), the SRSI, and the Digit Span (to derive the Reliable Digit Span).

Results: Specificity in controls was perfect for the CAARS, but reached only about 90% for the SRSI. In contrast, sensitivity in experimental simulators ranged from 24% to 65% for the CAARS, but reached high rates of 69% to 82% for the SRSI. In the sample of patients with ADHD, the failure rate ranged from 8% to 34% (CAARS), and 33% to 47% (SRSI). Further, we found limited classification agreement between the validity measures.

Conclusion: The divergent results on the different validity indicators reflects the ongoing discussion on poor construct unity and clarity, and calls for more research addressing the heterogeneous construct. The utility of the SRSI to reliably distinguish between valid and invalid symptom report in the clinical evaluation of adult ADHD has to be investigated by more refined studies including both symptom and performance validity indicators.

Background: Previous literature suggests that lingering concussion symptoms may be influenced by psychological factors. The relationship of posttraumatic stress symptoms (PTSS) during recovery with pre-existing/injury related factors and concussion symptomology is not fully understood. Identification of factors contributing to symptoms of posttraumatic stress may provide guidance to improve treatment following concussion.

Method: This study included 287 participants (Male 40.42%, n = 116; Female 59.58%, n = 171) aged 13-75 years diagnosed with a recent concussion at one of the North Texas Concussion Registry (ConTex) specialty concussion clinic sites. Preinjury emotional history, injury related factors, and emotional state at time of initial evaluation were analyzed as predictors of post-traumatic stress symptoms (PCL-5) during recovery.

Results: Sixty-one percent of participants endorsed at least one PTSS. Correlations were found between initial Sport Concussion Assessment Tool 5^Ⓡ (SCAT5) total emotional symptom severity and screening measures for anxiety (GAD-7; r = .453, p < .001) and depression (PHQ-8; r = .550, p < .001) symptom scores. Of the measures from the initial visit included in the multiple regression model predicting severity of PTSS at follow-up (R² = 0.554, β < .001), three measures predicted PTSS severity: initial SCAT5 total emotional symptom severity (β = 0.565, p < .001), PHQ-8 score (β =.166, p = .009), and GAD-7 score (β = 0.119, p = .044).

Conclusions: Symptoms of anxiety and depression along with specific SCAT5 emotional symptoms present at the time of initial evaluation may serve to predict overall level of PTSS and increased risk for PTSS during recovery. PTSS may be another dimension of response to injury and concussion recovery, with a large percentage of individuals endorsing at least one PTSS. Clinicians can utilize brief assessments such as the SCAT5 at the time of initial clinical evaluation to identify those at risk for PTSS following concussion.

Objective: The present study examined the cognitive reserve (CR) theory at late stages of Alzheimer's disease (AD). The objective is to replicate previous studies and examine the complex role of education and family size as indicators of CR.

Participants and methods: This is a retrospective study included 642 patients diagnosed with AD after age 65, categorized into low education (LE, ≤ 8 years, n = 141) and medium-high education (MHE, ≥ 9 years, n = 442) groups. Participants were followed up longitudinally using the Mini Mental State Examination.

Results: Higher education in the MHE group, but not in the LE group, correlated with delayed diagnosis. In both groups, higher education correlated with accelerated cognitive decline. In the MHE group, country of origin was associated with cognitive decline, while in the LE group, it was linked to family size.

Conclusions: This study shows that in patients with MHE but not in LE, higher education resulted in delayed diagnosis. Conversely, in cases of LE, this measure may not fully reflect CR and abilities. Additionally, higher education was associated with faster deterioration, a finding that has not been replicated often in the literature. The study illustrates the complex impact of CR proxies on age of diagnosis and cognitive decline.

Background: Emotion categorization has often been studied in the relapsing-remitting form of multiple sclerosis (RR-MS), suggesting an impairment in the recognition of emotions. The production of facial emotional expressions in RR-MS has not been considered, despite their importance in non-verbal communication.

Method: Twenty-five RR-MS patients and twenty-five matched controls completed a task of emotional categorization during which their faces were filmed. The stimuli were dynamic (sound or visual), expressed by adults (women or men), and expressing happy (laughing or smiling) or negative emotion. Two independent blinded raters quantified the happy facial expressions produced. The categorization task was used as a proxy for emotional categorization, while the happy facial expressions produced assessed the production of emotions.

Results: The main analysis indicated impaired categorization of RR-MS for happy stimuli selectively, whereas their happy facial expressions were not statistically different from those of the control group. More specifically, this group effect was found for smiles (and not laughter) and for happy stimuli produced by men. Analysis of individual patient profiles suggested that 77% of patients with impaired judgments produced normal facial expressions, suggesting a high prevalence of this dissociation. Only 8% of our samples showed reverse dissociation, with happy facial expressions significantly different from those of the control group and normal emotional judgments.

Conclusion: These results corroborated the high prevalence of emotional categorization impairment in RR-MS but not for negative stimuli, which can probably be explained by the methodological specificities of the present work. The unusual impairment found for happy stimuli (for both emotional categorization and facial congruence) may be linked to the intensity of the perceived happy expressions but not to the emotional valence. Our results also indicated a mainly preserved production of facial emotions, which may be used in the future sociocognitive care of RR-MS patients with impaired emotional judgments.