Infant Social Attention Associated with Elevated Likelihood for Autism Spectrum Disorder: A Multi-Method Comparison.
Xiaoxue Fu, Emma Platt, Frederick Shic and 1 others
PMID 38678515WHAT IT FOUND
Eye tracking lost more usable looking data than manual coding, but both showed infants at elevated autism likelihood looked less at social videos and did not increase social attention with age.
Key findings
01Eye tracking yielded less valid data than manual coding, with a reported estimate of -11.60.
02Eye tracking and manual coding measures of screen looking were positively related across trials.
03Eye tracking showed low-likelihood infants increased screen looking to social videos relative to nonsocial videos as they aged, while elevated-likelihood infants did not.
STILL TO COME
How it was doneWhat they foundWhat it means for SLPs
Read the rest of this summary
You get three full summaries a month, free, and we do not ask for a card. Search, the TL;DRs and your library stay unlimited either way.
What it does not show
The sample was small, especially the 25 elevated-likelihood infants, so the study may not have had enough power to detect age-related change in this group. The study was not powered to compare diagnostic outcome groups, so findings describe familial likelihood, not confirmed autism diagnosis. The area of interest was the entire screen, which may reduce specificity for finer atypical attention patterns. The social and nonsocial videos were not shown side by side, so the study cannot infer a preference for social or nonsocial stimuli. Eye tracking produced more data loss than manual coding, so its looking-time estimates were lower than manual coding estimates.
The easy way to misread this
Do not read this eye-tracking task as a clinical test for autism. The study compared research measures in infant siblings, and it was not powered to determine which infants later received an autism diagnosis.