Longitudinal EEG power in the first postnatal year differentiates autism outcomes

Date
2019-09-13
Authors
Gabard-Durnam, Laurel J.
Wilkinson, Carol
Kapur, Kush
Tager-Flusberg, Helen
Levin, April R.
Nelson, Charles A.
Version
Published version
OA Version
Citation
Laurel J Gabard-Durnam, Carol Wilkinson, Kush Kapur, Helen Tager-Flusberg, April R Levin, Charles A Nelson. 2019. "Longitudinal EEG power in the first postnatal year differentiates autism outcomes.." Nat Commun, Volume 10, Issue 1, pp. 4188. https://doi.org/10.1038/s41467-019-12202-9
Abstract
An aim of autism spectrum disorder (ASD) research is to identify early biomarkers that inform ASD pathophysiology and expedite detection. Brain oscillations captured in electroencephalography (EEG) are thought to be disrupted as core ASD pathophysiology. We leverage longitudinal EEG power measurements from 3 to 36 months of age in infants at low- and high-risk for ASD to test how and when power distinguishes ASD risk and diagnosis by age 3-years. Power trajectories across the first year, second year, or first three years postnatally were submitted to data-driven modeling to differentiate ASD outcomes. Power dynamics during the first postnatal year best differentiate ASD diagnoses. Delta and gamma frequency power trajectories consistently distinguish infants with ASD diagnoses from others. There is also a developmental shift across timescales towards including higher-frequency power to differentiate outcomes. These findings reveal the importance of developmental timing and trajectory in understanding pathophysiology and classifying ASD outcomes.
Description
License
© The Author(s) 2019. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/