TL;DR
This work will analyze some frequently observed autistic phenotypes not described in the DSM-5 and delve into four specific ones, recently defined in the literature, that show a genotype-phenotype correlation.
There is an urgent need for prospective longitudinal studies to adequately map the aging trajectories of this population of older adults with ASD, which constitute a vulnerable population.
Estimating how common autism is among children aged 2 to 9 years in Northern Uganda, to identify co-occurring neurodevelopmental conditions, and to explore factors that may increase likelihood of autism are carried out.
Although the observed 4:1 ratio aligns with global trends, the findings suggest under-identification of females, and gender-sensitive diagnostic tools are needed to improve detection and understanding of ASD in females.
A narrative review of papers published between 1 January 2015 and 16 February 2026 that were pertinent to comorbidity and autism finds how the variable risk of comorbidity mimics the heterogeneity present in autism, thus inviting further investigations.
The analysis suggested that the memory challenges in ASD are probably accompanied by an imbalance between brain functions in the left and right hemispheres, with deficient functions in fronto-parietal regions on the left hemisphere and an excessive engagement of the counterparts on the right hemisphere.
Clinical heterogeneity among children with NRXN1 deletions illustrates clinical heterogeneity among children with autism spectrum disorder and supports the need for larger studies to better define genotype-phenotype relationships.
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