Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients.
Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves...
| Publicado en: | Journal of Autism & Developmental Disorders Vol. 51; no. 9; pp. 3380 - 3391 |
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| Autores principales: | , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Sep2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=151804339&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 151804339 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01623257 AUT jtl: Journal of Autism & Developmental Disorders issn: 01623257 maglogo: N pubinfo: dt: Sep2021 vid: 51 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 151804339 147212827 151804339 151804339 10.1007/s10803-020-04793-w 151804339 ppf: 3380 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Brief Report: Classification of Autistic Traits According to Brain Activity Recoded by fNIRS Using ε-Complexity Coefficients. aug: au: Dahan, Anat Dubnov, Yuri A. Popkov, Alexey Y. Gutman, Itai Probolovski, Hila Gvirts affil: Braude College of engineering, Karmiel, Israel sug: subj: Autism Spectrum Disorder Classification Brain Physiology Spectroscopy, Near-Infrared Human Electroencephalography ab: Individuals with ASD have been shown to have different pattern of functional connectivity. In this study, brain activity of participants with many and few autistic traits, was recorded using an fNIRS device, as participants preformed an interpersonal synchronization task. This type of task involves synchronization and functional connectivity of different brain regions. A novel method for assessing signal complexity, using ε-complexity coefficients, applied for the first i.e. on fNIRS recording, was used to classify brain recording of participants with many/few autistic traits. Successful classification was achieved implying that this method may be useful for classification of fNIRS recordings and that there is a difference in brain activity between participants with low and high autistic traits as they perform an interpersonal synchronization task. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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