Author Interviews, Autism, Pediatrics, PNAS / 21.11.2015
Brain Connectivity Predicts Traits and Functioning in Autism
[caption id="attachment_19540" align="alignleft" width="135"]
Dr. Kenworthy[/caption]
MedicalResearch.com Interview with:
Lauren Kenworthy, PhD
Associate professor of Neurology, Pediatrics, and Psychiatry
George Washington University School of Medicine
Director of the Center for Autism Spectrum Disorders
Children’s National Health System
Medical Research: What is the background for this study? What are the main findings?
Dr. Kenworthy: Connectivity among brain regions may account for variability in autism outcomes not explained by age or behavioral measures, according to a study. We have previously shown that behavioral assessments of intelligence, baseline adaptive behavior and executive functions in people with autism can explain some of the variation in outcomes and function, but we have not been able to explain all of the variance in outcome (e.g. Pugliese et al 2015a, 2015b).
In this study, we found that 44% of the study group experienced significant change in scores on adaptive behavior between the initial scan and follow-up. Connectivity between three resting-state networks, including the salience network, the default-mode network, and the frontoparietal task control network, was linked not only to future autistic behaviors but also to changes in autistic and adaptive behaviors over the post-scan period. Further, connectivity involving the salience network and associated brain regions was associated with improvement in adaptive behaviors, with 100% sensitivity and around 71% precision.
Dr. Kenworthy[/caption]
MedicalResearch.com Interview with:
Lauren Kenworthy, PhD
Associate professor of Neurology, Pediatrics, and Psychiatry
George Washington University School of Medicine
Director of the Center for Autism Spectrum Disorders
Children’s National Health System
Medical Research: What is the background for this study? What are the main findings?
Dr. Kenworthy: Connectivity among brain regions may account for variability in autism outcomes not explained by age or behavioral measures, according to a study. We have previously shown that behavioral assessments of intelligence, baseline adaptive behavior and executive functions in people with autism can explain some of the variation in outcomes and function, but we have not been able to explain all of the variance in outcome (e.g. Pugliese et al 2015a, 2015b).
In this study, we found that 44% of the study group experienced significant change in scores on adaptive behavior between the initial scan and follow-up. Connectivity between three resting-state networks, including the salience network, the default-mode network, and the frontoparietal task control network, was linked not only to future autistic behaviors but also to changes in autistic and adaptive behaviors over the post-scan period. Further, connectivity involving the salience network and associated brain regions was associated with improvement in adaptive behaviors, with 100% sensitivity and around 71% precision.
















