Literature DB >> 24111192

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

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

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.

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Year:  2013        PMID: 24111192     DOI: 10.1109/EMBC.2013.6611005

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  6 in total

1.  Distinction of directional coupling in sensorimotor networks between active and passive finger movements using fNIRS.

Authors:  Seung Hyun Lee; Sang Hyeon Jin; Jinung An
Journal:  Biomed Opt Express       Date:  2018-05-31       Impact factor: 3.732

2.  Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS.

Authors:  Alyssa M Batula; Jesse A Mark; Youngmoo E Kim; Hasan Ayaz
Journal:  Comput Intell Neurosci       Date:  2017-05-04

3.  Limb linkage rehabilitation training-related changes in cortical activation and effective connectivity after stroke: A functional near-infrared spectroscopy study.

Authors:  Congcong Huo; Gongcheng Xu; Zengyong Li; Zeping Lv; Qianying Liu; Wenhao Li; Hongzhuo Ma; Daifa Wang; Yubo Fan
Journal:  Sci Rep       Date:  2019-04-17       Impact factor: 4.379

4.  The difference in cortical activation pattern for complex motor skills: A functional near- infrared spectroscopy study.

Authors:  Seung Hyun Lee; Sang Hyeon Jin; Jinung An
Journal:  Sci Rep       Date:  2019-10-01       Impact factor: 4.379

5.  Characterizing reproducibility of cerebral hemodynamic responses when applying short-channel regression in functional near-infrared spectroscopy.

Authors:  Dominik G Wyser; Christoph M Kanzler; Lena Salzmann; Olivier Lambercy; Martin Wolf; Felix Scholkmann; Roger Gassert
Journal:  Neurophotonics       Date:  2022-03-07       Impact factor: 4.212

6.  Suppressing Systemic Interference in fNIRS Monitoring of the Hemodynamic Cortical Response to Motor Execution and Imagery.

Authors:  Shijing Wu; Jun Li; Lantian Gao; Changshui Chen; Sailing He
Journal:  Front Hum Neurosci       Date:  2018-03-05       Impact factor: 3.169

  6 in total

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