Early parenting behaviour is associated with complex attention outcomes in middle to late childhood in children born very preterm.

Attention deficits are common in children born very preterm (VP), especially for children with higher social risk. The aim of this study was to examine the association between parenting behavior and attention in children born VP, and whether this association is influenced by familial social risk. Two hundred and twenty-four children born <30 weeks' gestation and/or with a birth weight <1250 g were recruited at birth. At 2 years, social risk was calculated and parenting behaviors were observed during a parent-child interaction task, with children's attention skills assessed at 7 and 13 years using standardized assessments. Higher levels of sensitive parenting at 2 years were positively associated with divided attention at age 7 years, and higher levels of intrusive parenting were negatively associated with divided attention at 13 years. Children born VP with higher social risk were more positively influenced by sensitive parenting behavior for sustained attention at 7 years, selective attention at 13 years, and divided attention at 7 and 13 years than children born VP with lower social risk. Additionally, children born VP with higher social risk were more negatively influenced by intrusive parenting for sustained attention outcomes at 7 years than those with lower social risk. In summary, the evidence for a contribution of early parenting to attention outcomes in children born VP was stronger for more complex attention (divided attention) compared with basic attention domains. Our findings also suggest that early parenting behavior has a particular influence on children born VP from socially disadvantaged environments for attention outcomes.

Development of regional brain gray matter volume across the first 13 years of life is associated with childhood math computation ability for children born very preterm and full term.

Very preterm birth (VP; <32 weeks' gestation) is associated with altered brain gray matter development and lower math ability. In typically developing children, the neural correlates of math ability may change dynamically with age, though evidence in VP children is limited. In a prospective longitudinal cohort of children born VP and full term (FT), we aimed to investigate associations between 1) concurrent regional brain volumes and math ability at 7 (n = 148 VP; n = 34 FT) and 13-years (n = 130 VP; n = 46 FT), and 2) regional volumetric growth across childhood (term-equivalent age (TEA) to 7-years; 7 to 13-years) and math ability from 7 to 13-years, and improvement in ability from 7 to 13 years. For both aims we investigated whether associations differed between birth groups. Cross-sectionally, frontal, temporal and subcortical regional volumes were positively associated with math ability for both birth groups. For FT children, greater growth of specific temporal regions was associated with higher math ability, and greater improvements. For VP children, similar associations were only observed for growth from TEA to 7-years with 13-year ability and improvements in ability. In conclusion, VP birth appears to alter associations of brain development across the first 13 years with childhood math ability.

A systematic review of brain MRI findings in monogenic disorders strongly associated with autism spectrum disorder.

BACKGROUND: Research on monogenic forms of autism spectrum disorder (autism) can inform our understanding of genetic contributions to the autism phenotype; yet, there is much to be learned about the pathways from gene to brain structure to behavior. This systematic review summarizes and evaluates research on brain magnetic resonance imaging (MRI) findings in monogenic conditions that have strong association with autism. This will improve understanding of the impact of genetic variability on brain structure and related behavioral traits in autism. METHODS: The search strategy for this systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Risk of bias (ROB) assessment was completed on included studies using the Newcastle-Ottawa Scales. RESULTS: Of 4,287 studies screened, 69 were included pertaining to 13 of the top 20 genes with the strongest association with autism. The greatest number of studies related to individuals with PTEN variants and autism. Brain MRI abnormalities were reported for 12 of the 13 genes studied, and in 51.7% of participants across all 13 genes, including 100% of participants with ARID1B variants. Specific MRI findings were highly variable, with no clear patterns emerging within or between the 13 genes, although white matter abnormalities were the most common. Few studies reported specific details about methods for acquisition and processing of brain MRI, and descriptors for brain abnormalities were variable. ROB assessment indicated high ROB for all studies, largely due to small sample sizes and lack of comparison groups. CONCLUSIONS: Brain abnormalities are common in this population of individuals, in particular, children; however, a range of different brain abnormalities were reported within and between genes. Directions for future neuroimaging research in monogenic autism are suggested.

Development of brain white matter and math computation ability in children born very preterm and full-term.

Children born very preterm (VPT; <32 weeks' gestation) have alterations in brain white matter and poorer math ability than full-term (FT) peers. Diffusion-weighted magnetic resonance imaging studies suggest a link between white matter microstructure and math in VPT and FT children, although longitudinal studies using advanced modelling are lacking. In a prospective longitudinal cohort of VPT and FT children we used Fixel-Based Analysis to investigate associations between maturation of white matter fibre density (FD), fibre-bundle cross-section (FC), and combined fibre density and cross-section (FDC) and math computation ability at 7 (n = 136 VPT; n = 32 FT) and 13 (n = 130 VPT; n = 44 FT) years, as well as between change in white matter and math computation ability from 7 to 13 years (n = 103 VPT; n = 21 FT). In both VPT and FT children, higher FD, FC and FDC in visual, sensorimotor and cortico-thalamic/thalamo-cortical white matter tracts were associated with better math computation ability at 7 and 13 years. Longitudinally, accelerated maturation of the posterior body of the corpus callosum (FDC) was associated with greater math computation development. White matter-math associations were similar for VPT and FT children. In conclusion, white matter maturation is associated with math computation ability across late childhood, irrespective of birth group.

Cognitive and Behavioural Attention in Children with Low-Moderate and Heavy Doses of Prenatal Alcohol Exposure: a Systematic Review and Meta-analysis.

Attention problems are thought to be a hallmark feature of prenatal alcohol exposure (PAE). Despite decades of research however, these findings have never been pooled to assess the association between PAE and the different domains of attention functioning. This systematic review and meta-analysis aimed to examine the relationships between low-moderate, binge and heavy PAE with domains of attention functioning (encode, focus, shift, sustain and behavioural) in children. Thirteen studies compared children with PAE to abstinent controls. A significant adverse effect of any PAE on shifting attention (Cohen's d = -0.61), and a trend towards an adverse effect of heavy PAE on encoding attention (Cohen's d = -0.79) were identified. Compared to controls, there were trends showing that low-moderate PAE (odds ratio = 1.21) was associated with greater odds of behavioural attention problems. Remaining analyses were limited by insufficient studies or were non-significant. In summary, a vulnerability of higher-level attention skills to PAE was found. Urgent investigation into the effects of low to moderate PAE is needed given the prevalence of this drinking pattern, trends towards behavioural attention problems, the lack of comprehensive and high-quality research and the known impacts of attention difficulties on academic and social development in children.

White matter microstructure correlates with mathematics but not word reading performance in 13-year-old children born very preterm and full-term.

Individuals born very preterm (VPT; <32 weeks' gestational age) are at increased risk of impaired mathematics and word reading performance, as well as widespread white matter microstructural alterations compared with individuals born full term (FT; ≥37 weeks' gestational age). To date, the link between academic performance and white matter microstructure is not well understood. This study aimed to investigate the associations between mathematics and reading performance with white matter microstructure in 114 VPT and 36 FT 13-year-old children. Additionally, we aimed to investigate whether the association of mathematics and reading performance with white matter microstructure in VPT children varied as a function of impairment. To do this, we used diffusion tensor imaging and advanced diffusion modelling techniques (Neurite Orientation Dispersion and Density Imaging and the Spherical Mean Technique), combined with a whole-brain analysis approach (Tract-Based Spatial Statistics). Mathematics performance across VPT and FT groups was positively associated with white matter microstructural measurements of fractional anisotropy and neurite density, and negatively associated with radial and mean diffusivities in widespread, bilateral regions. Furthermore, VPT children with a mathematics impairment (>1 standard deviation below FT mean) had significantly reduced neurite density compared with VPT children without an impairment. Reading performance was not significantly associated with any of the white matter microstructure parameters. Additionally, the associations between white matter microstructure and mathematics and reading performance did not differ significantly between VPT and FT groups. Our findings suggest that alterations in white matter microstructure, and more specifically lower neurite density, are associated with poorer mathematics performance in 13-year-old VPT and FT children. More research is required to understand the association between reading performance and white matter microstructure in 13-year-old children.