Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder – a systematic methodological exploration of technical and demographic confounders in the search for biomarkers

Recurrence quantification analysis of resting state EEG signals in autism spectrum disorder – a systematic methodological exploration of technical and demographic confounders in the search for biomarkers

Abstract Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder with a worldwide prevalence of 1–2%. In low-resource environments, in particular, early identification and diagnosis is a significant challenge. Therefore, there is a great demand for ‘language-free, culturally fair’...

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Bibliographic Details
Main Authors: T. Heunis, C. Aldrich, J. M. Peters, S. S. Jeste, M. Sahin, C. Scheffer, P. J. de Vries
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Medicine
Subjects:
Autism spectrum disorder
Resting state electroencephalography
Recurrence quantification analysis
RQA
Online Access:http://link.springer.com/article/10.1186/s12916-018-1086-7

Internet

http://link.springer.com/article/10.1186/s12916-018-1086-7

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