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New Eye-Tracking Evaluation Clarifies Autism Diagnosis

New Eye-Tracking Evaluation Clarifies Autism Diagnosis

A new study suggests that eye tracking can differentiate children with autism spectrum disorder (ASD) from children without ASD but with other developmental problems (non-ASD).

The finding is important as it represents an objective method to detect ASD. At present, ASD is identified using subjective methods such as parent report, interviews, and clinician observations.

Having an objective marker of ASD could substantially increase the accuracy of clinical diagnosis. It could also help parents, who are often wary of accepting clinical impressions alone, accept the diagnosis.

The study will appear in the Journal of the American Academy of Child and Adolescent Psychiatry (JAACAP).

In the research, evaluator used two samples of at-risk patients referred for evaluation. Investigators examined whether remotely tracking patients’ eye gaze could differentiate children aged three to eight who would go on to be diagnosed with ASD versus those without ASD.

Researchers specifically assessed eye gaze while viewing social and non-social aspects of still pictures and dynamic videos.

The team, led by Dr. Thomas W. Frazier, Ph.D. of Cleveland Clinic, hypothesized that more time spent looking at social targets and less time spent looking at non-social targets could be combined into a single “Autism Risk Index” to identify ASD cases.

The Autism Risk Index strongly differentiated between children with and without a clinical consensus diagnosis of ASD in both samples as four out of five cases were correctly identified.

Autism Risk Index scores were similar to clinical observations to measure of autism severity. This relationship could not be accounted for by language level or other behavior problems exhibited by the children.

As such, the eye gaze-based Autism Risk Index appears to specifically measure the severity of autism symptoms.

“Identifying children with autism early is critical to getting them appropriate interventions that will make their lives better,” Frazier said.

“The lack of objective methods for identifying children with autism can be a major impediment to early diagnosis. Remote eye tracking is easy to use with young children and our study shows that it has excellent potential to enhance identification and, because it is objective, may increase parents’ acceptance of the diagnosis, allowing their children to get treatment faster.”

Based on these findings, the authors concluded that remote eye gaze tracking may be an easy, inexpensive, and effective method to aide clinicians in detecting autism.

Due to the growing prevalence of ASD (one in 68 children in the U.S.) and the lack of objective markers, identifying remote eye gaze tracking as an objective measure of autism could aide early identification leading to more rapid treatment.

Remote eye gaze tracking also has the potential to track symptom changes resulting from treatment.

Moreover, by removing subjectivity from outcome measurement, remote eye gaze tracking could greatly enhance our knowledge of effective treatments and reduce the time to discovery of new treatment.

Although the findings appear meaningful, additional research in large samples is necessary to confirm the observations and to further develop remote eye tracking as a clinical tool. If validated and scaled for routine use, remote eye gaze tracking has the potential to dramatically advance our ability to identify and assist individuals with autism.

Source: Elsevier

New Eye-Tracking Evaluation Clarifies Autism Diagnosis

Rick Nauert PhD

Rick Nauert, PhDDr. Rick Nauert has over 25 years experience in clinical, administrative and academic healthcare. He is currently an associate professor for Rocky Mountain University of Health Professionals doctoral program in health promotion and wellness. Dr. Nauert began his career as a clinical physical therapist and served as a regional manager for a publicly traded multidisciplinary rehabilitation agency for 12 years. He has masters degrees in health-fitness management and healthcare administration and a doctoral degree from The University of Texas at Austin focused on health care informatics, health administration, health education and health policy. His research efforts included the area of telehealth with a specialty in disease management.

APA Reference
Nauert PhD, R. (2018). New Eye-Tracking Evaluation Clarifies Autism Diagnosis. Psych Central. Retrieved on September 28, 2020, from
Scientifically Reviewed
Last updated: 8 Aug 2018 (Originally: 1 Apr 2016)
Last reviewed: By a member of our scientific advisory board on 8 Aug 2018
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