Recent Advances in Neuropsychological Test Interpretation for Clinical Practice.

Much attention in the field of clinical neuropsychology has focused on adapting to the modern healthcare environment by advancing telehealth and promoting technological innovation in assessment. Perhaps as important (but less discussed) are advances in the development and interpretation of normative neuropsychological test data. These techniques can yield improvement in diagnostic decision-making and treatment planning with little additional cost. Brooks and colleagues (Can Psychol 50: 196-209, 2009) eloquently summarized best practices in normative data creation and interpretation, providing a practical overview of norm development, measurement error, the base rates of low scores, and methods for assessing change. Since the publication of this seminal work, there have been several important advances in research on development and interpretation of normative neuropsychological test data, which may be less familiar to the practicing clinician. Specifically, we provide a review of the literature on regression-based normed scores, item response theory, multivariate base rates, summary/factor scores, cognitive intraindividual variability, and measuring change over time. For each topic, we include (1) an overview of the method, (2) a rapid review of the recent literature, (3) a relevant case example, and (4) a discussion of limitations and controversies. Our goal was to provide a primer for use of normative neuropsychological test data in neuropsychological practice.

Use of Cannabidiol in the Management of Insomnia: A Systematic Review.

Background: Cannabidiol (CBD), one of the major cannabinoids derived from the cannabis plant, is available over the counter. CBD is often used by patients for the management of insomnia, yet research supporting CBDs effectiveness as a treatment for insomnia is inadequate. Objective: The objective of this review was to critically evaluate the literature regarding the therapeutic benefits of CBD in the management of insomnia. Methods: A comprehensive search of the following databases from inception to December 29, 2021, was conducted: Ovid MEDLINE® and Epub Ahead of Print, In-Process & Other Non-Indexed Citations and Daily, Ovid Embase, Ovid Cochrane Central Register of Controlled Trials, Ovid Cochrane Database of Systematic Reviews, and Scopus. The search included randomized controlled trials, nonrandomized experimental studies, cross-sectional studies, cohort studies, case series, and case reports. Risk of bias was assessed with the Agency for Healthcare Research and Quality design-specific recommended criteria. Results: Thirty-four studies were eligible for inclusion. All studies reported improvement in the insomnia symptoms of at least a portion of their participants. Of the 34 studies, 19 studies used CBD predominant therapy and 21 studies used nearly equal ratios of CBD to Δ9-tetrahydrocannabinol (THC). Of the studies that performed hypothesis testing, 4 of 7 studies with a CBD predominant arm and 12 of 16 studies with a nearly equal ratio of CBD to THC arm reported significant improvement in insomnia outcomes. However, only 2 of the 34 studies focused on patients with insomnia, of which 1 study was a case report. Additionally, several studies used nonvalidated subjective measures, and most studies failed to include objective measures for symptom assessment. Conclusions: The results of our systematic review suggest that CBD alone or with equal quantities of THC may be beneficial in alleviating the symptoms of insomnia. Nevertheless, future research assessing CBDs effectiveness in population of patients specifically with insomnia utilizing validated subjective and objective measures is necessary before definitive inferences can be made.

Predictive Bidirectional Relations Between Pain, Fatigue, and Dyscognition in Fibromyalgia.

Fibromyalgia (FM) is a common and disabling disorder characterized by chronic widespread pain, fatigue, and dyscognition. Previous studies have shown strong positive correlations between pain, fatigue, and dyscognition. However, bidirectional relationships, particularly with dyscognition modeled as a predictor, have rarely been established. The purpose of this study was to examine the bidirectional, predictive nature of the relationships between these FM symptoms. Pain, fatigue, and dyscognition were measured via the Brief Pain Inventory, Multidimensional Fatigue Inventory, and Multiple Ability Self-Report Questionnaire at baseline and a 2-year follow-up in a large sample of 450 well-characterized female patients with FM. Relationships between FM symptoms were evaluated using a cross-lagged, longitudinal model. Dyscognition, pain, and fatigue were positively correlated at both baseline and follow-up (rs .13 -.53, Ps<.01). Dyscognition at baseline was predictive of dyscognition (B=.76, ß=.75, P<.001), pain, (B=.01, ß=.09, P=.033) and fatigue (B=.05, ß=.08, P=.050) at follow-up. Pain at baseline was predictive of pain (B=.59, ß=.59, P<.001), dyscognition (B=.88, ß=.07, P=.022), and fatigue (B=.85, ß=.11, P=.004) at follow-up. Fatigue at baseline was only associated with fatigue (B=.61, ß=.60, P<.001) at follow-up. Dyscognition is predictive of future pain and fatigue in patients with FM. Continued work should examine dyscognition as a clinical predictor of future severity of core symptoms such as pain and fatigue.