A systematic review of frontal lobe volume in autism spectrum disorder revealing distinct trajectories.

Frontal lobe volume has been extensively researched in individuals with Autism spectrum disorder (ASD), though findings are yet to be summarised to explain the developmental trends of frontal lobe volume. The aim of the present study is to consolidate all existing frontal lobe volume and age data of autistic individuals below 30 years of age, and compare this data to non-autistic (N-ASD) controls. Following a systematic review, frontal lobe volume data were obtained from seven papers. Raw data, or the means and standard deviations of frontal lobe volume, and age, were obtained from the studies giving 372 autistic and 190 N-ASD participants. Data were plotted and analysed. Findings revealed that regression lines of fit for ASD (R2L⁢i⁢n⁢e⁢a⁢r = 0.33; R2Q⁢u⁢a⁢d⁢r⁢a⁢t⁢i⁢c = 0.52) and N-ASD (R2L⁢i⁢n⁢e⁢a⁢r = 0.14; R2Q⁢u⁢a⁢d⁢r⁢a⁢t⁢i⁢c = 0.39) were significantly different by diagnosis (linear p = 0.002, quadratic p = 0.02) with quadratic models providing significantly better fit within ASD (p < 0.001) and N-ASD (p < 0.001). Additional analyses revealed that frontal lobe volume was greater in autistic individuals than N-ASD between two and four years (F(1,31) = 12.965, p < 0.005, η2 = 0.291). In the present study, there were distinct developmental trends for frontal lobe volume between ASD and N-ASD.

Head circumference trends in autism between 0 and 100 months.

LAY ABSTRACT: Summaries of studies that have measured head size in those with autism, known as meta-analyses, currently exist. However, this approach does not adequately explain extreme cases (such as those with extremely small, or extremely large, head size). Because of this, we obtained all available published data measuring head size (12 studies). The data from each study were then combined to make a larger dataset. We found that females with autism aged 12-17 months had, on average, smaller head sizes. Otherwise, average head size was not atypical in autism. However, we found that males with autism were more likely to have extreme head sizes at birth and between 60 and 100 months, a small head between 6 and 11 months, and a large head between 12 and 17 months. Females with autism were more likely to have extreme head sizes between 36 and 59 months and were less likely at birth. Our approach was able to measure the influence of age and biological sex on head size in autism, as well as the frequency of extreme cases of head size in autism. These results add to what we already know about head size in autism.

Are Vermal Lobules VI-VII Smaller in Autism Spectrum Disorder?

Cerebellar volume, in particular vermal lobule areas VI-VII, have been extensively researched in individuals with autism spectrum disorder (ASD), although findings are often unclear. The aim of the present study is to consolidate all existing cerebellar and age data of individuals with ASD, and compare this data to typically developing (TD) controls. Raw data, or the means and standard deviations of cerebellar volume and age, were obtained from 17 studies (NCerebellum: 421 ASD and 370 TD participants; NVI-VII: 506 ASD and 290 TD participants). Total cerebellar volume, or VI-VII area, was plotted against age and lines of fit of ASD and TD data were compared. Mean differences in cerebellar volume and VI-VII area between participants with ASD and TD participants were then compared via ANCOVA analyses. Findings revealed multiple differences in VI-VII area between participants with ASD and TD participants below 18 years of age. Additionally, cerebellar volume was greater in males with ASD than TD males between 2 and 4 years. In the present study, cerebellar volume and VI-VII area show different rates of change across age for those with autism compared with those without. These morphological differences provide a neurobiological justification to investigate related behavioural correlates.

Hammering that Nail: Varied Praxis Motor Skills in Younger Autistic Children.

Previous studies measuring praxis abilities in young autistic children have only used praxis measures that were not optimised for autistic individuals. Hence, we used the FAB-R to measure praxis skills in autistic (n = 38) and typically developing (TD) children (n = 38) aged between four and 10 years. Praxis abilities were generally not different between autistic and TD children. However, total dyspraxia and errors during verbal command and tool use were impaired in autistic children from a specialist autistic school (SAS). In contrast, autistic participants from the GC typically did not differ in praxis performance compared to controls. Hence, praxis abilities significantly vary between autistic younger children. Exploring mediating influences of such variability is imperative.