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Chinese Journal of Lasers, Volume. 49, Issue 5, 0507301(2022)

Research on Adaptability of Brain Activation Degree via Near Infrared Spectroscopy Under Motor Imagery Task

Chenyang Gao1, Jia Xiu1, and Ting Li1,2、*
Author Affiliations
  • 1Institute of Biomedical Engineering, Chinese Academy of Medical Sciences, Tianjin 300192, China
  • 2Chinese Institute for Brain Research, Beijing 102206, China
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    AbstractGet PDF(in Chinese)
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    References (27)
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    Figures & Tables(7)
    Overall introduction of experiment. (a) Experiment process design; (b) participants participating in experiment

    Fig. 1. Overall introduction of experiment. (a) Experiment process design; (b) participants participating in experiment

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    Position arrangement of fNIRS probe channel of system. (a) fNIRS probe site; (b) left and right fNIRS channel number and brain region distribution; (c) physical map of self-developed optical fiber fNIRS brain function imaging instrument

    Fig. 2. Position arrangement of fNIRS probe channel of system. (a) fNIRS probe site; (b) left and right fNIRS channel number and brain region distribution; (c) physical map of self-developed optical fiber fNIRS brain function imaging instrument

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    Estimation process of blood oxygen parameters by modified Beer-Lamber law[6]

    Fig. 3. Estimation process of blood oxygen parameters by modified Beer-Lamber law[6]

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    Change curves of brain blood oxygen activation during task period. (a1)(a8)Hemodynamic activations during left and right motor imagery tasks in eight channels for typical subject; (b1)(b8)hemodynamic activations during forward and backward motor imagery tasks in eight channels for typical subject

    Fig. 4. Change curves of brain blood oxygen activation during task period. (a1)(a8)Hemodynamic activations during left and right motor imagery tasks in eight channels for typical subject; (b1)(b8)hemodynamic activations during forward and backward motor imagery tasks in eight channels for typical subject

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    Topographic maps of brain blood oxygen activation degree of subjects. (a) Left; (b) right; (c) forward; (d) backward

    Fig. 5. Topographic maps of brain blood oxygen activation degree of subjects. (a) Left; (b) right; (c) forward; (d) backward

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    Line graphs of blood oxygen activation degree of brains of subjects with standard deviation indicated by shaded portions. (a) Left; (b) right; (c) forward; (d) backward

    Fig. 6. Line graphs of blood oxygen activation degree of brains of subjects with standard deviation indicated by shaded portions. (a) Left; (b) right; (c) forward; (d) backward

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    • Table 1. Variance of average brain activation degree of subjects with time　unit: μmol/L

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      Table 1. Variance of average brain activation degree of subjects with time　unit: μmol/L

      DayLeftRightForwardBackward
      Day 14.107±1.8894.238±1.7133.998±2.0725.278±2.502
      Day 24.173±1.8733.694±1.2622.501±1.1072.279±1.141
      Day 31.925±1.2622.165±1.7021.864±0.6592.289±1.104
      Day 40.968±0.9022.023±0.7790.961±0.9161.502±1.104
      Day 51.531±1.4031.051±0.9860.774±1.1011.751±0.987
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    Chenyang Gao, Jia Xiu, Ting Li. Research on Adaptability of Brain Activation Degree via Near Infrared Spectroscopy Under Motor Imagery Task[J]. Chinese Journal of Lasers, 2022, 49(5): 0507301

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    Paper Information

    Received: Oct. 19, 2021

    Accepted: Jan. 14, 2022

    Published Online: Mar. 9, 2022

    The Author Email: Li Ting (liting@bme.cams.cn)

    DOI:10.3788/CJL202249.0507301

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology