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
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...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
BioMed Central
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/70112 |
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