EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach
Abstract Autism spectrum disorder (ASD) is a complex and heterogeneous disorder, diagnosed on the basis of behavioral symptoms during the second year of life or later. Finding scalable biomarkers for early detection is challenging because of the variability in presentation of the disorder and the ne...
Main Authors: | William J. Bosl, Helen Tager-Flusberg, Charles A. Nelson |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2018-05-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-018-24318-x |
Similar Items
-
EEG complexity as a biomarker for autism spectrum disorder risk
by: Tierney Adrienne, et al.
Published: (2011-02-01) -
Response: Infant EEG activity as a biomarker for autism: A promising approach or a false promise?
by: Tierney Adrienne, et al.
Published: (2011-05-01) -
Functional connectivity in the first year of life in infants at risk for autism spectrum disorder: an EEG study.
by: Giulia Righi, et al.
Published: (2014-01-01) -
Developmental trajectories of resting EEG power: an endophenotype of autism spectrum disorder.
by: Adrienne L Tierney, et al.
Published: (2012-01-01) -
Sylvian Fissure and Parietal Anatomy in Children with Autism Spectrum Disorder
by: Tracey A. Knaus, et al.
Published: (2012-01-01)