Proposal of auxiliary diagnosis index for autism spectrum disorder using near-infrared spectroscopy

被引:17
|
作者
Yanagisawa, Kazuki [1 ]
Nakamura, Nozomi [2 ]
Tsunashima, Hitoshi [1 ]
Narita, Naoko [3 ]
机构
[1] Nihon Univ, Dept Mech Engn, Coll Ind Technol, 1-2-1 Izumi Cho, Narashino, Chiba 2758575, Japan
[2] Nihon Univ, Grad Sch, Coll Ind Technol, Dept Mech Engn, 1-2-1 Izumi Cho, Narashino, Chiba 2758575, Japan
[3] Bunkyo Univ, Inst Educ, Sch Educ Course, 3337 Minami Ogishima, Koshigaya, Saitama 343851, Japan
基金
日本学术振兴会;
关键词
near-infrared spectroscopy; autistic spectrum disorder; auxiliary diagnosis; MIND; TASK; FMRI;
D O I
10.1117/1.NPh.3.3.031413
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Lack of a diagnostic index is a problem that needs to be overcome in the diagnosis of autism spectrum disorder (ASD), because this problem prevents an objective assessment based on biomarkers. This paper describes the development of a diagnostic index for ASD using near-infrared spectroscopy (NIRS). We investigated continuous prefrontal hemodynamic changes depending on reciprocal disposition of working memory and nonworking memory tasks using two-channel NIRS. NIRS signals in the prefrontal cortex were compared between high-functioning ASD subjects (n = 11) and typically developed (TD) subjects (n = 21). The brain activities of the TD subjects were related to experimental design. These results were not confirmed in brain activities of ASD subjects, although the task performance rate was almost equivalent. The brain activities of TD subjects and ASD subjects were evaluated using a weighted separability (WS) index obtained from the feature phase of oxy-hemoglobin and its differential value. Calculation of the t -test (TD subject versus ASD subject) confirmed that WS was significant. This result showed that the proposed index was useful for evaluation of the brain activity of ASD subjects. (C) The Authors.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Reduced prefrontal hemodynamic responses measured using near-infrared spectroscopy in adults with autism spectrum disorder
    Kamikawa, Kohei
    Yamamuro, Kazuhiko
    Mizui, Ryo
    Kashida, Natsuko
    Ishida, Rio
    Okada, Takashi
    Iwata, Nakao
    Makinodan, Manabu
    FRONTIERS IN PSYCHIATRY, 2025, 15
  • [2] Investigating sensory response to physical discomfort in children with autism spectrum disorder using near-infrared spectroscopy
    Schudlo, Larissa C.
    Anagnostou, Evdokia
    Chau, Tom
    Doyle-Thomas, Krissy
    PLOS ONE, 2021, 16 (09):
  • [3] Assessing autism at its social and developmental roots: A review of Autism Spectrum Disorder studies using functional near-infrared spectroscopy
    Liu, Tao
    Liu, Xingchen
    Yi, Li
    Zhu, Chaozhe
    Markey, Patrick S.
    Pelowski, Matthew
    NEUROIMAGE, 2019, 185 : 955 - 967
  • [4] Reduced prefrontal hemodynamic response in pediatric autism spectrum disorder measured with near-infrared spectroscopy
    Mitsuhiro Uratani
    Toyosaku Ota
    Junzo Iida
    Kosuke Okazaki
    Kazuhiko Yamamuro
    Yoko Nakanishi
    Naoko Kishimoto
    Toshifumi Kishimoto
    Child and Adolescent Psychiatry and Mental Health, 13
  • [5] Reduced prefrontal hemodynamic response in pediatric autism spectrum disorder measured with near-infrared spectroscopy
    Uratani, Mitsuhiro
    Ota, Toyosaku
    Iida, Junzo
    Okazaki, Kosuke
    Yamamuro, Kazuhiko
    Nakanishi, Yoko
    Kishimoto, Naoko
    Kishimoto, Toshifumi
    CHILD AND ADOLESCENT PSYCHIATRY AND MENTAL HEALTH, 2019, 13 (1)
  • [6] Reduced prefrontal hemodynamic response in pediatric autism spectrum disorder as measured by near-infrared spectroscopy
    Uratani, M.
    Ota, T.
    Iida, J.
    Okazaki, K.
    Matsuura, H.
    Yamamuro, K.
    Tanaka, S.
    Kishimoto, N.
    Iwasaka, H.
    Kishimoto, T.
    EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, 2015, 24 : S270 - S270
  • [7] Identification of autism spectrum disorder based on functional near-infrared spectroscopy using adaptive spatiotemporal graph convolution network
    Zhang, Haoran
    Xu, Lingyu
    Yu, Jie
    Li, Jun
    Wang, Jinhong
    FRONTIERS IN NEUROSCIENCE, 2023, 17
  • [8] Decreased leftward bias of prefrontal activity in autism spectrum disorder revealed by functional near-infrared spectroscopy
    Tamura, Ryu
    Kitamura, Hideaki
    Endo, Taro
    Abe, Ryo
    Someya, Toshiyuki
    PSYCHIATRY RESEARCH-NEUROIMAGING, 2012, 203 (2-3) : 237 - 240
  • [9] Measurements of the lateral cerebellar hemispheres using near-infrared spectroscopy through comparison between autism spectrum disorder and typical development
    Nishida, Toshiki
    Suzumura, Nao
    Nakanishi, Yuto
    Maki, Nao
    Komeda, Hidetsugu
    Kawasaki, Masahiro
    Funabiki, Yasuko
    NEUROSCIENCE LETTERS, 2023, 812
  • [10] Characterizing autism spectrum disorder by deep learning spontaneous brain activity from functional near-infrared spectroscopy
    Xu, Lingyu
    Liu, Yaya
    Yu, Jie
    Li, Xinjuan
    Yu, Xuan
    Cheng, Huiyi
    Li, Jun
    JOURNAL OF NEUROSCIENCE METHODS, 2020, 331