Maternal depression promotes maternal inflammation and the risk of neurodevelopmental disorder in offspring, but the role of inflammation on the association between depression and neurodevelopment in offspring has not been extensively studied in humans. This study aims to examine the mediating role of maternal inflammation on the relationship between maternal depression and neurodevelopment in infants. 146 mother-child pairs were identified from Tianjin Maternal and Child Health Education and Service Cohort (Tianjin MCHESC). Maternal depression was investigated by the Center for Epidemiologic Studies Depression Scale and the Edinburgh Postnatal Depression Scale, and depressive trajectories were identified by latent class growth analysis. Inflammatory biomarkers in the three trimesters were assessed with enzyme-linked immunoassay. The Children Neuropsychological and Behavior Scale-Revision 2016 was used to measure neurodevelopment in infants. Principal component analysis was performed to identify inflammatory condition. Stepwise multiple linear regression analysis and mediation analysis were used to identify association among maternal depression, maternal inflammation and neurodevelopment in infants. Offspring in the low and moderate maternal depression groups exhibited higher adaptive behavior development quotient than those in the high maternal depression group. Higher maternal c-reactive protein level and higher inflammatory level in acute-phase of inflammation in the first trimester, and moderate maternal depression were associated with lower adaptive behavior quotients of infants. Inflammatory level in acute-phase of inflammation in the first trimester significantly mediated the association between maternal depression and adaptive behavior development of infants, with explaining 11.85% of the association. Maternal depression could impair adaptive behavior development in infants by inflammation.

Positional information is key for particles to adapt their behavior based on their position in external concentration gradients, and thereby self-organize into complex patterns. Here, position-dependent behavior of floating surfactant droplets that self-organize in a pH gradient is demonstrated, using the Marangoni effect to translate gradients of surface-active molecules into motion. First, fields of surfactant microliter-droplets are generated, in which droplets floating on water drive local, outbound Marangoni flows upon dissolution of surfactant and concomitantly grow myelin filaments. Next, a competing surfactant based on a hydrolysable amide is introduced, which is more surface active than the myelin surfactant and thereby inhibits the local Marangoni flows and myelin growth from the droplets. Upon introducing a pH gradient, the amide surfactant hydrolyses in the acidic region, so that the local Marangoni flows and myelin growth are reestablished. The resulting combination of local and global surface tension gradients produces a region of myelin-growing droplets and a region where myelin growth is suppressed, separated by a wave front of closely packed droplets, of which the position can be controlled by the pH gradient. Thereby, it is shown how \"French flag\"-patterns, in synthetic settings typically emerging from reaction-diffusion systems, can also be established via surfactant droplet systems.

Animals occupying higher trophic levels can have disproportionately large influence on ecosystem structure and functioning, owning to intricate behavioral responses to their environment, but the effects of behavioral adaptations on aquatic ecosystem dynamics are underrepresented, especially in model studies. Here, we explore how adaptive behavior of fish can affect the dynamics of aquatics ecosystems. We frame fish behavior in the context of the central trade-off between feeding and predation, calculating the optimal level of feeding determined by ambient food availability and predation risk. To explore whole-ecosystem consequences of fish behavior, we embed our behavioral model within the Water Ecosystems Tool (WET), a contemporary end-to-end aquatic ecosystem model. The principle of optimality provides a robust and mechanistic framework for representing animal behavior that is relevant for complex models, and can provide a stabilizing effect on model dynamics. The model predicts an emergent functional response similar to Holling type III, but with richer dynamics and a more rigorous theoretical foundation. We show how adaptive fish behavior works to stabilize food web dynamics compared to a control model with no optimal behavior, and how changing the strength of the underlying trade-off has profound effects on trophic control and food web structure. Furthermore, we demonstrate how including fish behavior allows for an overall more realistic response of the model system to environmental perturbation in the form of nutrient enhancement. We discuss the structuring effects of behavioral adaptations in real ecosystems, and how approaches like this one may benefit aquatic ecological modeling. Our study further highlights how a mechanistic approach based on concepts from theoretical ecology can be successfully implemented in complex operational models resulting in improved dynamics and descriptive power.

Fragile X Syndrome (FXS) stands out as a prominent cause of inherited intellectual disability and a prevalent disorder closely linked to autism. FXS is characterized by substantial alterations in social behavior, encompassing social withdrawal, avoidance of eye contact, heightened social anxiety, increased arousal levels, language deficits, and challenges in regulating emotions. Conventional behavioral assessments primarily focus on short-term interactions within controlled settings. In this study, we conducted a comprehensive examination of the adaptive group behavior of Fmr1 KO male mice over a three-day period, without introducing experimental interventions or task-based evaluations. The data unveiled intricate behavioral anomalies, with the most significant changes manifesting during the initial adaptation to unfamiliar environments. Notably, certain behaviors exhibited a gradual return to typical patterns over time. This dynamic Fmr1 KO phenotype exhibited heightened activity, featuring increased exploration, amplified social interest, and an unconventional approach to social interactions characterized by a higher frequency of shorter engagements. These findings contribute to the growing understanding of social behavior in individuals with FXS and underscore the significance of comprehending their adaptive responses in various environmental contexts.

Impairments in executive function (EF) among individuals with autism spectrum disorder and their association with negative academic, adaptive, and social functioning outcomes have been widely reported over the past 20 years. However, there remains a lack of understanding of EF in autism during the preschool period, an age at which several crucial abilities (including EF) emerge. The present study therefore sought to document everyday EF in preschool-aged children with autism and its associations with other clinical characteristics. Parents rated the EF of their preschool-aged child with autism (M = 30-65 months, N = 288) using the Behavior Rating Inventory of Executive Function-Preschool Version (BRIEF-P; Gioia, G. A., Espy, K. A., & Isquith, P. K. (2003). Behavior Rating Inventory of Executive Function-Preschool Version. Psychological Assessment Resources.). Intellectual quotient, adaptive behavior, and autism symptom severity were also assessed. Preschoolers with ASD displayed impairments in everyday EF, particularly in relation with inhibition and working memory. Greater challenges in EF were strongly associated with lower levels of adaptive behavior and a higher severity of autistic symptoms. To a lesser extent, EF challenges were also associated with lower levels of intellectual functioning. The early assessment and detection of EF difficulties in preschoolers with ASD may assist in developing and integrating specific intervention targets to improve these essential abilities within existing early intervention programs for ASD. This could help to maximize their effectiveness and limit the extent of difficulties these children may face growing up.

This study describes the cross-cultural adaptation to Brazilian Portuguese of the Adaptive Behavior Assessment System (ABAS-3), which assesses 11 skills areas within three major adaptive domains: the conceptual, social, and practical. The translation was performed by two independent translators, which was followed by the synthesis of the translations by two experts and then an analysis of the synthesis by 33 specialists from the areas of health and education (three per subscale) who were experts in the domains evaluated by ABAS-3. Of the 1121 items of the five ABAS-3 forms, 82 (7.31%) needed revision. There was good agreement between the specialists in respect of most items, with only minor adjustments being required. There was good evidence of content validity and the adequacy of the adaptation in respect of the conceptual, idiomatic, and semantic aspects of the items of the instrument. This initial process of cross-cultural adaptation was necessary because adaptive behavior is strongly influenced by environmental factors such as socioeconomic status and culture.

UNASSIGNED: Metformin has been used as a targeted treatment to potentially improve cognition and slow the typical IQ decline that occurs during development among individuals with fragile X syndrome (FXS). In this follow-up study, we are following the trajectory of IQ and adaptive behavior changes over 1 to 3 years in individuals with FXS who are clinically treated with metformin in an open label trial.
UNASSIGNED: Individuals with FXS ages 6 to 25 years (mean 13.15 ± 5.50) and nonverbal IQ mean 57.69 (±15.46) were treated for 1-3 years (1.88 ± 0.63). They all had a baseline IQ test using the Leiter-III non-verbal cognitive assessment and the Vineland-III adaptive behavior assessment before the start of metformin. Repeat Leiter-III and Vineland-III were completed after at least 1 year of metformin (500-1,000 mg/dose given twice a day).
UNASSIGNED: There were no significant changes in non-verbal IQ or in the adaptive behavior measurements at FDR < 0.05. The findings thus far indicate that both IQ and adaptive behavior are stable over time, and we did not see a significant decline in either measure.
UNASSIGNED: Overall, the small sample size and short follow-up duration limit the interpretation of the effects of metformin on cognitive development and adaptive functioning. There is individual variability but overall for the group there was no significant decline in IQ or adaptive behavior.

To comprehensively investigate the neurodevelopmental profile and clinical characteristics associated with SETBP1 haploinsufficiency disorder (SETBP1-HD) and SETBP1-related disorders (SETBP1-RD). We reported genetic results on 34 individuals, with behavior and clinical data from 22 with SETBP1-HD and 5 with SETBP1-RD, by assessing results from medical history interviews and standardized adaptive, clinical, and social measures provided from Simons Searchlight. All individuals with SETBP1-HD and SETBP1-RD exhibited neurological impairments including intellectual disability/developmental delay (IDD), attention-deficit/hyperactivity disorder, autism spectrum disorder, and/or seizures, as well as speech and language delays. While restricted interests and repetitive behaviors present challenges, a relative strength was observed in social motivation within both cohorts. Individuals with SETBP1-RD reported a risk for heart issues and compared to SETBP1-HD greater risks for orthopedic and somatic issues with greater difficulty in bowel control. Higher rates for neonatal feeding difficulties and febrile seizures were reported for individuals with SETBP1-HD. Additional prominent characteristics included sleep, vision, and gastrointestinal issues, hypotonia, and high pain tolerance. This characterization of phenotypic overlap (IDD, speech challenges, autistic, and attention deficit traits) and differentiation (somatic and heart issue risks for SETBP1-RD) between the distinct neurodevelopmental disorders SETBP1-HD and SETBP1-RD is critical for medical management and diagnosis.

The literature has yet to review the differential effects of Natural Environment Teaching (NET) and Discrete Trial Teaching (DTT) on adaptive skills. A sample of 142 children diagnosed with ASD between the ages of 16 and 35 months received either DTT, NET, or both interventions (NET+ DTT). The Bayley Scales of Infant and Toddler Development (BSID) Adaptive Subscale and the Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) Barriers Assessment were used as baseline and posttest measures. Children who received NET and NET+DTT conditions showed significant improvements compared to the DTT condition indicating that the addition of NET leads to increased adaptive skills and decreased barrier behaviors in participants. DTT may also play a necessary foundational role for children with more significant delays. These results provide support for the use of a combination of teaching strategies in community-based early intervention and refine protocols for teaching adaptive skills to toddlers with ASD.

BACKGROUND: Intellectual and developmental disabilities (IDDs) are associated with both cognitive challenges and difficulties in conceptual, social, and practical areas of living, commonly referred to as adaptive behavior (DSM-5). Although cross-sectional associations between intelligence or cognition and adaptive behavior have been reported in IDD populations, no study to date has examined whether developmental changes in cognition contribute to or track with changes in adaptive behavior. The present study sought to examine associations of longitudinal developmental change in domains of cognition (NIH Toolbox Cognition Battery, NIHTB-CB) and adaptive behavior domains (Vineland Adaptive Behavior Scales-3; VABS-3) including Socialization, Communication, and Daily Living Skills (DLS) over a two year period in a large sample of children, adolescents and young adults with IDD.
METHODS: Three groups were recruited, including those with fragile X syndrome, Down syndrome, and other/idiopathic intellectual disability. Eligible participants (n = 263) included those who were between 6 and 26 years (mage = 15.52, sd = 5.17) at Visit 1, and who had a diagnosis of, or suspected intellectual disability (ID), including borderline ID, with a mental age of at least 3.0 years. Participants were given cognitive and adaptive behavior assessments at two time points over a two year period (m = 2.45 years, range = 1.27 to 5.56 years). In order to examine the association of developmental change between cognitive and adaptive behavior domains, bivariate latent change score (BLCS) models were fit to compare change in the three cognitive domains measured by the NIHTB-CB (Fluid Cognition, Crystallized Cognition, Total Cognition) and the three adaptive behavior domains measured by the VABS-3 (Communication, DLS, and Socialization).
RESULTS: Over a two year period, change in cognition (both Crystallized and Total Composites) was significantly and positively associated with change in daily living skills. Also, baseline cognition level predicted growth in adaptive behavior, however baseline adaptive behavior did not predict growth in cognition in any model.
CONCLUSIONS: The present study demonstrated that developmental changes in cognition and adaptive behavior are associated in children and young adults with IDD, indicating the potential for cross-domain effects of intervention. Notably, improvements in DLS emerged as a primary area of adaptive behavior that positively related to improvements in cognition. This work provides evidence for the clinical, \"real life\" meaningfulness of changes in cognition detected by the NIHTB-CB in IDD, and provides empirical support for the NIHTB-CB as a fit-for-purpose performance-based outcome measure for this population.