Ilan Dinstein

The paper examines sleep initiation in children with neurodevelopmental conditions, finding weaker neural and physiological transitions linked to longer sleep onset latencies.

Mixture modeling of 239 phenotype features in 5,392 SPARK autistic children defines four replicable classes carrying distinct common and rare variant signatures and developmental gene-timing patterns.

This study evaluates three facial analysis algorithms for quantifying facial expressions in children with autism during social interactions, finding no group differences in expression quantity but significant algorithm variability.

The Simons Sleep Project provides a dataset of sleep and behavioral data from autistic adolescents and their siblings, showing that objective sleep measures like sleep onset latency differ between groups and correlate with behavioral severity.

This study uses pupillometry to show that autistic children have more variable and idiosyncratic pupil responses compared to typically developing children, with significant classification accuracy.

This study identifies genetic variants associated with fetal ultrasound anomalies in children with autism spectrum disorder using whole exome sequencing and a bioinformatics pipeline.

This paper introduces an AI algorithm to automatically identify and quantify stereotypical motor movements in children with ASD using video data, achieving high correlation with manual annotations.

The paper finds that ASD children under 2 years old have higher EA-CSF volumes and a higher prevalence of BEH compared to controls, suggesting a potential etiological link.

The paper compares three bioinformatics tools for detecting ASD candidate variants from whole-exome sequencing data and finds that combining tools improves detection.

This study finds reduced sleep pressure in children with autism, as indicated by lower slow wave activity (SWA) during early sleep stages.

This study identifies altered structural brain asymmetry in autism spectrum disorder using a large-scale meta-analysis of MRI data from 1,774 ASD cases and 1,809 controls.

The paper quantifies gaze idiosyncrasy in children with ASD and controls, finding it correlates with ASD severity and distinguishes ASD from controls more effectively than traditional measures.

This study compares structural brain differences across ADHD, ASD, and OCD using MRI data from multiple cohorts, finding disorder-specific alterations in brain volume and cortical thickness.

The paper investigates the relationship between neural variability and oscillations, finding that variability quenching is linked to changes in alpha-beta band power.

This study finds that hypersensitivity to touch is strongly linked to sleep disturbances in children with autism, explaining 24% of the variance in sleep disturbance scores.

The paper shows that neural variability magnitudes in humans are stable across tasks and time, suggesting they are individual characteristics that influence behavior.

The paper shows that individual differences in movement variability are predicted by cortical neural variability in posterior-parietal cortex.

This study finds no significant increase in early head circumference in children later diagnosed with autism, challenging the overgrowth hypothesis of autism.

The paper identifies structural abnormalities in the temporal corpus callosum fibers of toddlers later diagnosed with autism, showing altered diffusion metrics and correlations with autism severity.