2018
DOI: 10.1016/j.neuroimage.2018.07.055
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Human EEG reveals distinct neural correlates of power and precision grasping types

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Cited by 52 publications
(45 citation statements)
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References 59 publications
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“…No significant differences in performance between recording systems could be found anymore. Unfortunately, a direct comparison to other reach-and-grasp studies such as ( Agashe et al, 2015 ; Randazzo et al, 2015 ; Iturrate et al, 2018 ) is difficult due significant differences in experimental setup and paradigm and hence cannot be made in a serious manner.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…No significant differences in performance between recording systems could be found anymore. Unfortunately, a direct comparison to other reach-and-grasp studies such as ( Agashe et al, 2015 ; Randazzo et al, 2015 ; Iturrate et al, 2018 ) is difficult due significant differences in experimental setup and paradigm and hence cannot be made in a serious manner.…”
Section: Discussionmentioning
confidence: 99%
“…Recent investigations have shown that brain patterns of singular upper limb movements can be identified and decoded from EEGs’ low frequency time domain (LFTD) signals. These so called movement-related cortical potentials (MRCPs) ( Shibasaki et al, 1980 ) have been shown to hold discriminable information of upper limb movements ( Ofner et al, 2017 ), different grasps ( Agashe et al, 2015 ; Jochumsen et al, 2016 ), different reach-and-grasp actions ( Randazzo et al, 2015 ; Iturrate et al, 2018 ; Schwarz et al, 2018 , 2019 ) and can even be decoded online ( Ofner et al, 2019 ; Schwarz et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…It is important to note that most of the BMI clinical studies conducted with stroke patients do not report values about the performance of the BMI, which hinders comparisons. Recent works have proposed the classification of different types of movements with EEG only (e.g., different reaching directions [ 54 ] or different grasping types [ 55 ]), although the applicability of these approaches has not been demonstrated in online applications with patients.…”
Section: Discussionmentioning
confidence: 99%
“…MRCPs are particularly interesting when designing an intuitive control paradigm for a BCI. For example, MRCPs encode even various single movements of the same limb, such as hand open, hand close, or different grasp types 3133 , which could be detected by an EEG-based BCI and transformed into movements via a neuroprosthesis. As a result of this a person with SCI would only need to attempt to open the right hand in order to actually open it, and analogously, to close it.…”
Section: Introductionmentioning
confidence: 99%