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
Link To Document :
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