Recognition of autism spectrum disorder in children based on electroencephalogram network topology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience
Link
https://link.springer.com/content/pdf/10.1007/s11571-023-09962-y.pdf
Reference53 articles.
1. Alonso-Solis A et al (2015) Resting-state functional connectivity alterations in the default network of schizophrenia patients with persistent auditory verbal hallucinations. Schizophr Res 161:261–268. https://doi.org/10.1016/j.schres.2014.10.047
2. Barttfeld P, Wicker B, Cukier S, Navarta S, Lew S, Sigman M (2011) A big-world network in ASD: dynamical connectivity analysis reflects a deficit in long-range connections and an excess of short-range connections. Neuropsychologia 49:254–263. https://doi.org/10.1016/j.neuropsychologia.2010.11.024
3. Barttfeld P et al (2013) Organization of brain networks governed by long-range connections index autistic traits in the general population. J Neurodev Disord 5:16. https://doi.org/10.1186/1866-1955-5-16
4. Bazanova OM (2011) Individual alpha peak frequency variability and reproducibility in dependence on the experimental conditions. Zhurnal Vysshei Nervnoi Deyatelnosti Imeni I P Pavlova 61:102–111
5. Bosl W, Tierney A, Tager-Flusberg H, Nelson C (2011) EEG complexity as a biomarker for autism spectrum disorder risk. BMC Med. https://doi.org/10.1186/1741-7015-9-18
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