Open Access
Issue |
BIO Web Conf.
Volume 111, 2024
2024 6th International Conference on Biotechnology and Biomedicine (ICBB 2024)
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Article Number | 03010 | |
Number of page(s) | 5 | |
Section | Medical Testing and Health Technology Integration | |
DOI | https://doi.org/10.1051/bioconf/202411103010 | |
Published online | 31 May 2024 |
- Neuhaus, E., Lowry, S. J., Santhosh, M., Kresse, A., Edwards, L. A., Keller, J., … & ACE GENDAAR Network. (2021) Resting state EEG in youth with ASD: Age, sex, and relation to phenotype. Journal of neurodevelopmental disorders, 13: 1–15. https://doi.org/10.1186/s11689-021-09390-1. [CrossRef] [PubMed] [Google Scholar]
- Garcés, P., Baumeister, S., Mason, L., Chatham, C. H., Holiga, S., Dukart, J., … & Hipp, J.F. (2022) Resting state EEG power spectrum and functional connectivity in autism: a cross-sectional analysis. Molecular autism, 13: 22. https://doi.org/10.1186/s13229-022-00500-x. [CrossRef] [PubMed] [Google Scholar]
- Chen, L., Chen, Y., Zheng, H., Zhang, B., Wang, F., Fang, J., … & Zhang, S. (2021) Changes in the topological organization of the default mode network in autism spectrum disorder. Brain Imaging and Behavior, 15:1058–1067. https://doi.org/10.1007/s11682-020-00312-8. [CrossRef] [PubMed] [Google Scholar]
- Minshew, N. J., & Keller, T.A. (2010) The nature of brain dysfunction in autism: functional brain imaging studies. Current opinion in neurology, 23: 124. https://doi.org/10.1097/wco.0b013e32833782d4. [CrossRef] [PubMed] [Google Scholar]
- Nelson, C. A. (2016) Introduction to special issue on the role of connectivity in developmental disorders: genetic and neural network approaches. Developmental Science, 4: 523–523. https://doi.org/10.1111/desc.12477. [CrossRef] [PubMed] [Google Scholar]
- Bosl, W., Tierney, A., Tager-Flusberg, H., & Nelson, C. (2011) EEG complexity as a biomarker for autism spectrum disorder risk. BMC medicine, 9: 1–16. https://doi.org/10.1186/1741-7015-9-18. [CrossRef] [PubMed] [Google Scholar]
- Catarino, A., Churches, O., Baron-Cohen, S., Andrade, A., & Ring, H. (2011) Atypical EEG complexity in autism spectrum conditions: a multiscale entropy analysis. Clinical neurophysiology, 122: 2375–2383. https://doi.org/10.1016/j.clinph.2011.05.004. [CrossRef] [PubMed] [Google Scholar]
- Pérez Velázquez, J. L., & Galán, R. F. (2013) Information gain in the brain’s resting state: A new perspective on autism. Frontiers in neuroinformatics, 7: 37. https://doi.org/10.3389/fninf.2013.00037. [PubMed] [Google Scholar]
- Boutros, N. N., Lajiness-O’Neill, R., Zillgitt, A., Richard, A.E., & Bowyer, S.M. (2015) EEG changes associated with autistic spectrum disorders. Neuropsychiatric Electrophysiology, 1: 1–20. https://doi.org/10.1186/s40810-014-0001-5. [CrossRef] [Google Scholar]
- Milovanovic, M., & Grujicic, R. (2021) Electroencephalography in assessment of autism spectrum disorders: a review. Frontiers in psychiatry, 12: 686021. https://doi.org/10.3389/fpsyt.2021.686021. [CrossRef] [PubMed] [Google Scholar]
- Gorgoni, M., D'Atri, A., Scarpelli, S., Reda, F., & DeGennaro, L. (2020) Sleep electroencephalography and brain maturation: developmental trajectories and the relation with cognitive functioning. Sleep Medicine, 66: 33–50. https://doi.org/10.1016/j.sleep.2019.06.025. [CrossRef] [PubMed] [Google Scholar]
- Zhang, C., Cai, H., Xu, X., Li, Q., Li, X., Zhao, W., … & Yu, Y. (2022) Genetic architecture underlying differential resting-state functional connectivity of subregions within the human visual cortex. Cerebral Cortex, 32: 2063–2078. https://doi.org/10.1093/cercor/bhab335. [CrossRef] [PubMed] [Google Scholar]
- Murphy, M., Stickgold, R., & Öngür, D. (2020) Electroencephalogram microstate abnormalities in early-course psychosis. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging, 5: 35–44. https://doi.org/10.1016/j.bpsc.2019.07.006. [CrossRef] [Google Scholar]
- Zhang, N., Niu, Y., Sun, J., An, W., Li, D., Wei, J., … & Wang, B. (2021) Altered complexity of spontaneous brain activity in schizophrenia and bipolar disorder patients. Journal of Magnetic Resonance Imaging, 54: 586–595. https://doi.org/10.1002/jmri.27541. [CrossRef] [PubMed] [Google Scholar]
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