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Journal Abstract Search

297 related items for PubMed ID: 29961422

  • 1. 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.
    Heunis T, Aldrich C, Peters JM, Jeste SS, Sahin M, Scheffer C, de Vries PJ.
    BMC Med; 2018 Jul 02; 16(1):101. PubMed ID: 29961422
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  • 2. Recent Advances in Resting-State Electroencephalography Biomarkers for Autism Spectrum Disorder-A Review of Methodological and Clinical Challenges.
    Heunis TM, Aldrich C, de Vries PJ.
    Pediatr Neurol; 2016 Aug 02; 61():28-37. PubMed ID: 27255413
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  • 3. Region-Wise Brain Response Classification of ASD Children Using EEG and BiLSTM RNN.
    Manoharan TA, Radhakrishnan M.
    Clin EEG Neurosci; 2023 Sep 02; 54(5):461-471. PubMed ID: 34791925
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  • 5. A study on EEG feature extraction and classification in autistic children based on singular spectrum analysis method.
    Zhao J, Song J, Li X, Kang J.
    Brain Behav; 2020 Dec 02; 10(12):e01721. PubMed ID: 33125837
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  • 6. EEG complexity as a biomarker for autism spectrum disorder risk.
    Bosl W, Tierney A, Tager-Flusberg H, Nelson C.
    BMC Med; 2011 Feb 22; 9():18. PubMed ID: 21342500
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  • 9. A hybrid graph network model for ASD diagnosis based on resting-state EEG signals.
    Tang T, Li C, Zhang S, Chen Z, Yang L, Mu Y, Chen J, Xu P, Gao D, Li F, He B, Zhu Y.
    Brain Res Bull; 2024 Jan 22; 206():110826. PubMed ID: 38040298
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  • 12. Resting state EEG in youth with ASD: age, sex, and relation to phenotype.
    Neuhaus E, Lowry SJ, Santhosh M, Kresse A, Edwards LA, Keller J, Libsack EJ, Kang VY, Naples A, Jack A, Jeste S, McPartland JC, Aylward E, Bernier R, Bookheimer S, Dapretto M, Van Horn JD, Pelphrey K, Webb SJ, The ACE GENDAAR Network.
    J Neurodev Disord; 2021 Sep 13; 13(1):33. PubMed ID: 34517813
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  • 13. Diagnosis of Autism Spectrum Disorder by Dynamic Local Graph-Theory Indicators Based on Electroencephalogram.
    Luo H, Yang S, Zhang N, Huang L, Ge Y, Chen A, Zhu J, Zhang J.
    J Integr Neurosci; 2024 May 08; 23(5):95. PubMed ID: 38812386
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  • 14. Diagnosis of autism through EEG processed by advanced computational algorithms: A pilot study.
    Grossi E, Olivieri C, Buscema M.
    Comput Methods Programs Biomed; 2017 Apr 08; 142():73-79. PubMed ID: 28325448
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  • 15. EEG microstates suggest atypical resting-state network activity in high-functioning children and adolescents with autism spectrum development.
    Takarae Y, Zanesco A, Keehn B, Chukoskie L, Müller RA, Townsend J.
    Dev Sci; 2022 Jul 08; 25(4):e13231. PubMed ID: 35005839
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  • 17. Altered brain network dynamics in youths with autism spectrum disorder.
    Malaia E, Bates E, Seitzman B, Coppess K.
    Exp Brain Res; 2016 Dec 08; 234(12):3425-3431. PubMed ID: 27465558
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  • 18. Identification of autism spectrum disorder based on electroencephalography: A systematic review.
    Li J, Kong X, Sun L, Chen X, Ouyang G, Li X, Chen S.
    Comput Biol Med; 2024 Mar 08; 170():108075. PubMed ID: 38301514
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  • 19. Robust disruptions in electroencephalogram cortical oscillations and large-scale functional networks in autism.
    Matlis S, Boric K, Chu CJ, Kramer MA.
    BMC Neurol; 2015 Jun 27; 15():97. PubMed ID: 26111798
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  • 20. Accurate assessment of low-function autistic children based on EEG feature fusion.
    Kang J, Jin Y, Liang G, Li X.
    J Clin Neurosci; 2021 Aug 27; 90():351-358. PubMed ID: 34275574
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