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Characterization of autism spectrum disorder with spontaneous hemodynamic activity

  • Jun Li
  • , Lina Qiu
  • , Lingyu Xu
  • , Ernest V. Pedapati
  • , Craig A. Erickson
  • , Ulas Sunar

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

Functional near-infrared spectroscopy (fNIRS) was used to investigate spontaneous hemodynamic activity in the temporal cortex for typically developing (TD) children and children with autism spectrum disorder (ASD). Forty-seven children participated in the experiments including twenty-five with ASD. Compared with TD children, children with ASD showed weaker bilateral resting-state functional connectivity (RSFC), but much stronger fluctuation magnitude in terms of oxy-hemoglobin (HbO2) and deoxy-hemoglobin (Hb). Differentiating between ASD and TD based on a support vector machine (SVM) model including bilateral RSFC and the fluctuation power of HbO2 and Hb as variables could achieve high accurate classification with sensitivity of 81.6% and specificity of 94.6%. This study demonstrates optical brain imaging has the potential for screening children with risk of ASD.

Original languageEnglish
Article number#268387
Pages (from-to)3871-3881
Number of pages11
JournalBiomedical Optics Express
Volume7
Issue number10
DOIs
StatePublished - Oct 1 2016

Keywords

  • Functional monitoring and imaging
  • Medical and biological imaging
  • Optical diagnostics for medicine

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