• DocumentCode
    636889
  • Title

    Cortical activation pattern for grasping during observation, imagery, execution, FES, and observation-FES integrated BCI: An fNIRS pilot study

  • Author

    Jinung An ; Sang Hyeon Jin ; Seung Hyun Lee ; Gwanghee Jang ; Abibullaev, Berdakh ; Hyunju Lee ; Jeon-Il Moon

  • Author_Institution
    Robot. Res. Div., DGIST, Daegu, South Korea
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    6345
  • Lastpage
    6348
  • Abstract
    Passive movement, action observation and motor imagery as well as motor execution have been suggested to facilitate the motor function of human brain. The purpose of this study is to investigate the cortical activation patterns of these four modes using a functional near-infrared spectroscopy (fNIRS) system. Seven healthy volunteers underwent optical brain imaging by fNIRS. Passive movements were provided by a functional electrical stimulation (FES). Results demonstrated that while all movement modes commonly activated premotor cortex, there were considerable differences between modes. The pattern of neural activation in motor execution was best resembled by passive movement, followed by motor imagery, and lastly by action observation. This result indicates that action observation may be the least preferred way to activate the sensorimotor cortices. Thus, in order to show the feasibility of motor facilitation by a brain computer interface (BCI) for an extreme case, we paradoxically adopted the observation as a control input of the BCI. An observation-FES integrated BCI activated sensorimotor system stronger than observation but slightly weaker than FES. This limitation should be overcome to utilize the observation-FES integrated BCI as an active motor training method.
  • Keywords
    bioelectric phenomena; biomechanics; biomedical optical imaging; brain; brain-computer interfaces; infrared imaging; medical computing; somatosensory phenomena; action observation; active motor training method; brain computer interface; control input; cortical activation pattern; fNIRS system; functional electrical stimulation; functional near-infrared spectroscopy system; grasping; human brain; motor execution; motor function; motor imagery; movement mode; neural activation pattern; observation-FES integrated BCI activated sensorimotor system; optical brain imaging; passive movement; premotor cortex; sensorimotor cortices; Accuracy; Brain-computer interfaces; Electrodes; Grasping; Robot sensing systems; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6611005
  • Filename
    6611005