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Brain Network for Exploring the Change of Brain Neurotransmitter 5-Hydroxytryptamine of Autism Children by Resting-State EEG.

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  • المؤلفون: Shao J;Shao J; Zhang F; Zhang F; Chen C; Chen C; Wang Y; Wang Y; Wang Q; Wang Q; Zhou J; Zhou J
  • المصدر:
    Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Apr 23; Vol. 2022, pp. 5451277. Date of Electronic Publication: 2022 Apr 23 (Print Publication: 2022).
  • نوع النشر :
    Journal Article; Retracted Publication
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Hindawi Country of Publication: United States NLM ID: 101277751 Publication Model: eCollection Cited Medium: Internet ISSN: 1748-6718 (Electronic) Linking ISSN: 1748670X NLM ISO Abbreviation: Comput Math Methods Med Subsets: MEDLINE
    • بيانات النشر:
      Publication: 2011- : New York : Hindawi
      Original Publication: London : Taylor & Francis, c2006-
    • الموضوع:
    • نبذة مختصرة :
      The study was aimed at understanding the brain network and the change rule of brain neurotransmitter 5-hydroxytryptamine (5-HT) in autism children through resting-state electroencephalogram (EEG). 20 autistic children in hospital were selected and defined as the observation group. Meanwhile, 20 healthy children were defined as the control group. EEG signals were collected for the two groups. Fuzzy C-means (FCM) algorithm was used to extract features of EEG signals, and DTF was applied for the causal association between multichannel EEG signals. The two groups were compared for the average function value and regional efficiency of the brain neurotransmitter 5-HT. The results showed that the classification accuracy of frontal F7 channel, left frontal FP1 channel, and temporal T6 channel was 95.2%, 95.3%, and 91.2%, respectively. The average of high beta frequency band, low beta frequency band, theta frequency band, and alpha frequency band in the control group was significantly higher than that in the observation group under the optimal threshold ( P < 0.05). Compared with normal subjects (34.27), the average function of 5-HT in the brain was 20.13 in patients with low function and 45.74 in patients with hyperfunction. In conclusion, FCM algorithm can feature extraction of EEG signals, especially in the frontal F7 channel, the left frontal FP1 channel, and the TEMPORAL T6 channel, which has high classification accuracy and can well express the EEG signals of autistic children. The level of 5-HT in autistic children is lower than that in healthy people, and it is closely related to loneliness and depression.
      Competing Interests: The authors declare no conflicts of interest.
      (Copyright © 2022 Jun Shao et al.)
    • Comments:
      Retraction in: Comput Math Methods Med. 2023 Dec 13;2023:9865892. (PMID: 38124983)
    • References:
      Front Hum Neurosci. 2016 May 06;10:198. (PMID: 27199719)
      Front Psychol. 2015 Dec 11;6:1893. (PMID: 26696946)
      Front Neurosci. 2021 Jul 30;15:714318. (PMID: 34393718)
      Autism Res. 2018 Feb;11(2):245-257. (PMID: 28898569)
      Mol Psychiatry. 2016 Jan;21(1):62-70. (PMID: 26216300)
      Int J Environ Res Public Health. 2020 Feb 04;17(3):. (PMID: 32033231)
      Nature. 2013 Sep 12;501(7466):179-84. (PMID: 24025838)
      Biomed Res Int. 2017;2017:3591914. (PMID: 29018811)
      J Chem Neuroanat. 2017 Oct;83-84:36-40. (PMID: 28213183)
      Brain Sci. 2020 Oct 16;10(10):. (PMID: 33081247)
      Nature. 2018 Aug;560(7720):589-594. (PMID: 30089910)
      Autism Res. 2014 Apr;7(2):197-206. (PMID: 24515797)
      Proc Natl Acad Sci U S A. 2020 Mar 3;117(9):4642-4652. (PMID: 32071231)
      Brain Cogn. 2011 Feb;75(1):18-28. (PMID: 21055864)
      Mol Med. 2020 May 7;26(1):40. (PMID: 32380941)
      Mol Autism. 2020 Nov 23;11(1):94. (PMID: 33228763)
      Front Neurosci. 2016 Jul 22;10:346. (PMID: 27499732)
      Genes Brain Behav. 2017 Mar;16(3):342-351. (PMID: 27717169)
      Proc Natl Acad Sci U S A. 2013 Aug 6;110(32):13222-7. (PMID: 23878213)
      J Neurosci. 2018 Sep 5;38(36):7878-7886. (PMID: 30104338)
      Mol Psychiatry. 2016 Jan;21(1):49-61. (PMID: 26503761)
      Int J Mol Sci. 2018 Sep 19;19(9):. (PMID: 30235871)
      Behav Brain Res. 2018 Aug 1;348:227-234. (PMID: 29689375)
      Front Neurosci. 2016 Jun 21;10:276. (PMID: 27445652)
      Front Syst Neurosci. 2018 Jun 22;12:23. (PMID: 29988455)
    • الرقم المعرف:
      0 (Neurotransmitter Agents)
      333DO1RDJY (Serotonin)
    • الموضوع:
      Date Created: 20220503 Date Completed: 20220504 Latest Revision: 20231221
    • الموضوع:
      20231221
    • الرقم المعرف:
      PMC9056263
    • الرقم المعرف:
      10.1155/2022/5451277
    • الرقم المعرف:
      35502411