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HIV infection and in utero exposure, common in Sub-Saharan Africa, are associated with pediatric neurocognitive impairment. Cognitive screening can identify impairments, but it is rarely used in this setting. The Penn Computerized Neurocognitive Battery (PennCNB), an evidence-based cognitive screening tool, was adapted for use in Botswana. To facilitate future implementation, 20 semi-structured interviews were conducted to elicit key stakeholders' perspectives on factors likely to be related to successful uptake of the PennCNB in clinical settings. An integrated analytic approach combining constructs from the Consolidated Framework for Implementation Research and modified grounded theory was used. Results underscore the need for cognitive screening in Botswana and the acceptability of the PennCNB. Implementation barriers include limited time and resources, whereas facilitators include standard procedures for introducing new tools into medical settings and for training implementers. Recommended implementation strategies include integrating screening into the existing workflow, implementing the tool in the medical and educational sectors, and targeting selection of children for assessment. This research addresses the research-to-practice gap by engaging in pre-implementation inquiry and designing for implementation. Results will inform the development of strategies to maximize the likelihood of successful implementation of the PennCNB to identify neurocognitive impairment in children in this high-need setting.

Objective:To examine associations between serum micronutrients and neurobehavioural function and the mediating role of sleep quality in early adolescents.Design:In this cross-sectional study, peripheral blood samples were analysed for Fe and Zn levels. The Pittsburgh Sleep Quality Index and Penn Computerized Neurocognitive Battery were used to assess sleep quality and neurobehavioural function, respectively. The logistic/linear regressions and generalised structural equation modelling were performed to estimate the associations.Setting:Jintan, ChinaParticipants:In total, 226 adolescents (106 females) from the Jintan Child Cohort study.Results:Adolescents with low Fe (P= 0·04) and low Zn (P< 0·001) were associated with increased odds for poor sleep quality. Adolescents with low Fe and Zn were associated with fast (Fe:β= –1353·71,P= 0·002, Zn:β= –2262·01,P= 0·02) but less-accurate (Fe:β= –0·97,P= 0·04; Zn:β= –1·76,P= 0·04) performance on non-verbal reasoning task and poor sleep quality partially mediated the associations between low Fe/Zn and non-verbal reasoning (P< 0·05). Additionally, low Fe was associated with a slower reaction on spatial processing task (β= 276·94,P= 0·04), and low Zn was associated with fast (β= –1781·83,P= 0·03), but error-prone performance (β= –1·79,P= 0·04) on spatial processing ability and slower reaction speed (β= 12·82,P= 0·03) on the attention task. We observed similar trends using a cut-off point of 75 μg/dl for low serum Zn, except for the association with attention task speed (P> 0·05).Conclusion:Fe and Zn deficiencies may possibly be associated with poor sleep and neurobehavioural function among early adolescents. Poor sleep may partially mediate the relationship between micronutrients and neurobehavioural function.

The Marine Resiliency Study-II examined changes in symptomatology across a deployment cycle to Afghanistan. U.S. Servicemembers (N=1041) received clinical testing at two time points either bracketing a deployment (855) or not (186). Factor analyses were used to generate summary and change scores from Time 1 to Time 2. A between-subject design was used to examine changes across the deployment cycle with deployment (low-trauma, high-trauma, and non-deployed) and social support (low vs. high) as the grouping variables. Insomnia increased post-deployment regardless of deployment trauma (std. effect for high-trauma and low-trauma=0.39 and 0.26, respectively). Only the high-trauma group showed increased PTSD symptoms and non-perspective-taking (std. effect=0.40 and 0.30, respectively), while low-trauma showed decreased anxiety symptoms after deployment (std. effect=-0.17). These associations also depend on social support, with std. effects ranging from-0.22 to 0.51. When the groups were compared, the high-trauma deployed group showed significantly worse PTSD and non-perspective-taking than all other groups. Similar to studies in other military divisions, increased clinical symptoms were associated with high deployment stress in active duty Servicemembers, and social support shows promise as a moderator of said association.

Increasingly, the effects of copy number variation (CNV) in the genome on brain function and behaviors are recognized as means to elucidate pathophysiology of psychiatric disorders. Such studies require large samples and we characterized the neurocognitive profile of two cohorts of individuals with 22q11.2 deletion syndrome (22q11DS), the most common CNV associated with schizophrenia, in an effort to harmonize phenotyping in multi-site global collaborations. The Penn Computerized Neurocognitive Battery (PCNB) was administered to individuals with 22q11DS in Philadelphia (PHL; n=155, aged 12–40) and Tel Aviv (TLV; n=59, aged 12–36). We examined effect sizes of performance differences between the cohorts and confirmed the factor structure of PCNB performance efficiency in the combined sample based on data from a large comparison community sample. The cohorts performed comparably with notable deficits in executive function, episodic memory and social cognition domains that were previously associated with abnormal neuroimaging findings in 22q11DS. In mixed model analysis, while there was a main effect for site for accuracy (number of correct response) and speed (time to correct response) independently, there were no main site effects for standardized efficiency (average of accuracy and speed). The fit of a structural model was excellent indicating that PCNB tests were related to the targeted cognitive domains. Thus, our results provide preliminary support for the use of the PCNB as an efficient tool for neurocognitive assessment in international 22q11DS collaborations.

Objective/Background: The impact of midday napping on neurocognitive function in adolescents has not been well established. This study aimed to investigate the relationship between self-reported midday-napping behaviors and neurocognitive function in early adolescents. Participants: The sample was comprised of 363 early adolescents (12.00 ± 0.38 years old) from Jintan, China. Methods: Midday napping, nighttime sleep duration, and sleep quality were measured by self-reported questionnaires. Neurocognitive function was measured by the Penn Computerized Neurocognitive Battery (accuracy and reaction times). Generalized linear regression was used to analyze the relationships. Results: Sixty-four percent of our sample took more than 3 naps per week, and 70.11% reported nap durations of over 30 min. Participants with higher frequencies or longer durations of midday napping reported significantly better nighttime sleep quality (p

Certain cognitive measures are heritable and differentiate individuals at risk for schizophrenia from unaffected family members and healthy comparison subjects. These deficits in neurocognitive performance in patients with schizophrenia appear stable in the short-term. However, the duration of most, but not all, longitudinal studies is modest and the majority have relied on traditional average performance measures to examine stability. Using a computerized neurocognitive battery (CNB), we assessed mean performance (accuracy and speed) and intra-individual variability (IIV) in a longitudinal study aimed to examine neurocognitive stability in European-American multiplex families with schizophrenia. Thirty-four patients with schizophrenia, 65 unaffected relatives, and 45 healthy comparison subjects completed the same computerized neurocognitive assessment over approximately 5 years. Measures of mean performance showed that patients had stable accuracy performance but were slower in many neurocognitive domains over time as compared with unaffected family members and healthy subjects. Furthermore, patients and family members showed dissociable patterns of change in IIV for speed across cognitive domains: compared with controls, patients showed higher across-task IIV in performance compared with family members, who showed lower across-task IIV. Patients showed an increase in IIV over time, whereas family members showed a decrease. These findings suggest that measures of mean performance and IIV of speed during a CNB may provide useful information about the genetic susceptibility in schizophrenia.