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

Title
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
Authors
Keywords
Autism spectrum disorder, Resting state electroencephalography, Recurrence quantification analysis, RQA
Journal
BMC Medicine
Volume 16, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-06-26
DOI
10.1186/s12916-018-1086-7

Ask authors/readers for more resources

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started