Adaptive, Externalizing, and Internalizing Behavior of Children with Prenatal Alcohol Exposure: A Comparison of Three Parent-Report Questionnaires.

This study compared the Behavior Assessment System for Children-Third Edition (BASC-3) to the Child Behavior Checklist (CBCL) and the Vineland Adaptive Behavior Scales-Third Edition (VABS-3) in children with and without histories of prenatal alcohol exposure. Data were collected from Collaborative Initiative on Fetal Alcohol Spectrum Disorders Phase 4 sites. Caregivers rated their child's behavior using three questionnaires: BASC-3, CBCL, and VABS-3. BASC-3 Adaptive Skills, Externalizing Problems, and Internalizing Problems scores were correlated with comparable scores from the CBCL (Externalizing and Internalizing Problems) and VABS-3 (Adaptive Skills) both within and across groups. Sensitivity, specificity, and positive and negative predictive values were calculated for the BASC-3. BASC-3 sensitivity rates were 78.1%, 80.5%, and 47.0% and specificity rates were 79.4%, 80.4%, and 81.5% for Adaptive Skills, Externalizing Problems, and Internalizing Problems, respectively. Positive predictive values were 87.1%, 88.0%, and 81.9% and negative predictive values were 67.0%, 69.8%, and 46.3% for Adaptive Skills, Externalizing Problems, and Internalizing Problems, respectively. Results replicated previous reports of behavioral and adaptive difficulties in children with prenatal alcohol exposure. These findings provide support for using the BASC-3 in this population.

A subset of brain regions within adult functional connectivity networks demonstrate high reliability across early development.

The human cerebral cortex contains groups of areas that support sensory, motor, cognitive, and affective functions, often categorized as functional networks. These areas show stronger internal and weaker external functional connectivity (FC) and exhibit similar FC profiles within rather than between networks. Previous studies have demonstrated the development of these networks from nascent forms present before birth to their mature, adult-like topography in childhood. However, analyses often still use definitions based on adult functional networks. We aim to assess how this might lead to the misidentification of functional networks and explore potential consequences and solutions. Our findings suggest that even though adult networks provide only a marginally better than-chance description of the infant FC organization, misidentification was largely driven by specific areas. By restricting functional networks to areas showing adult-like network clustering, we observed consistent within-network FC both within and across scans and throughout development. Additionally, these areas were spatially closer to locations with low variability in network identity among adults. Our analysis aids in understanding the potential consequences of using adult networks "as is" and provides guidance for future research on selecting and utilizing functional network models based on the research question and scenario.