Meta-Analysis of Cognition in Parkinson's Disease Mild Cognitive Impairment and Dementia Progression.

Mild cognitive changes, including executive dysfunction, are seen in Parkinson's Disease (PD). Approximately 30% of individuals with PD develop Parkinson's disease dementia (PDD). Mild cognitive impairment (MCI) has been identified as a transitional state between normal cognition and dementia. Although PD-MCI and its cognitive correlates have been increasingly studied as a risk indicator for development of PDD, investigations into the PD-MCI construct have yielded heterogeneous findings. Thus, a typical PD-MCI cognitive profile remains undefined. The present meta-analysis examined published cross-sectional studies of PD-MCI and cognitively normal PD (PD-CN) groups to provide aggregated effect sizes of group test performance by cognitive domain. Subsequently, longitudinal studies examining PD-MCI to PDD progression were meta-analyzed. Ninety-two cross-sectional articles of PD-MCI vs. PD-CN were included; 5 longitudinal studies of PD-MCI conversion to PDD were included. Random effects meta-analytic models were constructed resulting in effect sizes (Hedges' g) for cognitive domains. Overall performance across all measures produced a large effect size (g = 0.83, 95% CI [0.79, 0.86], t2 = 0.18) in cross-sectional analyses, with cognitive screeners producing the largest effect (g = 1.09, 95% CI [1.00, 1.17], t2 = 0.19). Longitudinally, overall measures produced a moderate effect (g = 0.47, 95% CI [0.40, 0.53], t2 = 0.01), with measures of executive functioning exhibiting the largest effect (g = 0.70, 95% CI [0.51, 0.89], t2 = 0.01). Longitudinal effects were made more robust by low heterogeneity. This report provides the first comprehensive meta-analysis of PD-MCI cognitive outcomes and predictors in PD-MCI conversion to PDD. Limitations include heterogeneity of cross-sectional effect sizes and the potential impact of small-study effects. Areas for continued research include visuospatial skills and visual memory in PD-MCI and longitudinal examination of executive dysfunction in PD-MCI.

Neurocognitive effects of Moyamoya disease and concomitant epilepsy.

Objective: Moyamoya disease (MMD) is a rare degenerative cerebrovascular disorder that leads to recurrent strokes and cerebral hypoperfusion. Seizures are not uncommon in MMD especially following surgical treatment for the disease. Cognitive changes that are largely executive in nature have been documented following MMD and surgical treatment, although research is limited in adults. Methods: The present case report details the comprehensive neurocognitive evaluation of a patient with MMD and concomitant epilepsy. Results: Neurocognitive findings revealed a prominent dysexecutive pattern and atypically poor performance in areas such as visual and verbal memory. The patient reported significant affective symptoms and functional decline. Conclusions: This case offers insight into unique neurocognitive results that may present in adult MMD cases and underscores the importance of interpreting results in the context of neurological comorbidities in this rare disease.

A meta-analysis of malingering detection measures for attention-deficit/hyperactivity disorder.

This meta-analysis compares stand-alone and embedded performance and symptom validity tests (PVTs and SVTs) for attention-deficit/hyperactivity disorder (ADHD) malingering detection in college students. Simulation design studies utilizing college student samples were included (k = 11). Analyses consisted of measures designed or previously used for malingering detection. Random-effects models were constructed to provide aggregated weighted effect sizes (Hedges' g), indicating the difference between genuine ADHD and simulation groups. Overall PVTs (stand-alone and embedded) produced a large effect size (g = 0.84, 95% confidence interval [CI; 0.72, 1.13], p < .001), whereas overall SVTs (stand-alone and embedded) produced a medium-effect size (g = 0.54, 95% CI [0.44, 0.65], p < .001). Stand-alone PVTs (g = 0.98, 95% CI [0.84, 1.12], p < .001) outperformed embedded PVTs (g = 0.66, 95% CI [0.51, 0.80], p < .001). The stand-alone SVT (g = 0.66) and embedded SVTs (g = 0.54, 95% CI [0.43, 0.65], p < .001) produced medium-effect sizes. These findings support stand-alone PVTs and suggest that performance-based measures should be included in ADHD evaluation batteries, which may consist solely of symptom self-report measures. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Utility of the Conners' Adult ADHD Rating Scale validity scales in identifying simulated attention-deficit hyperactivity disorder and random responding.

Recent concern about malingered self-report of symptoms of attention-deficit hyperactivity disorder (ADHD) in college students has resulted in an urgent need for scales that can detect feigning of this disorder. The present study provided further validation data for a recently developed validity scale for the Conners' Adult ADHD Rating Scale (CAARS), the CAARS Infrequency Index (CII), as well as for the Inconsistency Index (INC). The sample included 139 undergraduate students: 21 individuals with diagnoses of ADHD, 29 individuals responding honestly, 54 individuals responding randomly (full or half), and 35 individuals instructed to feign. Overall, the INC showed moderate sensitivity to random responding (.44-.63) and fairly high specificity to ADHD (.86-.91). The CII demonstrated modest sensitivity to feigning (.31-.46) and excellent specificity to ADHD (.91-.95). Sequential application of validity scales had correct classification rates of honest (93.1%), ADHD (81.0%), feigning (57.1%), half random (42.3%), and full random (92.9%). The present study suggests that the CII is modestly sensitive (true positive rate) to feigned ADHD symptoms, and highly specific (true negative rate) to ADHD. Additionally, this study highlights the utility of applying the CAARS validity scales in a sequential manner for identifying feigning. (PsycINFO Database Record