Classification of hand movement direction based on EEG high-gamma activity

Author(s):  
Carlos A. Loza ◽  
Gavin R. Philips ◽  
Mehrnaz Kh Hazrati ◽  
Janis J. Daly ◽  
Jose C. Principe
Author(s):  
Max Suell Dutra ◽  
Luiz Bevilacqua ◽  
Luciano Santos Constantin Raptopoulos ◽  
Waltencir Andrade ◽  
André da Silva ◽  
...  
Keyword(s):  

2018 ◽  
Vol 15 (2) ◽  
pp. 026015 ◽  
Author(s):  
Leah Muller ◽  
John D Rolston ◽  
Neal P Fox ◽  
Robert Knowlton ◽  
Vikram R Rao ◽  
...  

2016 ◽  
Vol 127 (1) ◽  
pp. 277-284 ◽  
Author(s):  
Jared D. Olson ◽  
Jeremiah D. Wander ◽  
Lise Johnson ◽  
Devapratim Sarma ◽  
Kurt Weaver ◽  
...  
Keyword(s):  

2019 ◽  
Author(s):  
S. A. Herff ◽  
C. Herff ◽  
A. J. Milne ◽  
G. D. Johnson ◽  
J. J. Shih ◽  
...  

AbstractRhythmic auditory stimuli are known to elicit matching activity patterns in neural populations. Furthermore, recent research has established the particular importance of high-gamma brain activity in auditory processing by showing its involvement in auditory phrase segmentation and envelope-tracking. Here, we use electrocorticographic (ECoG) recordings from eight human listeners, to see whether periodicities in high-gamma activity track the periodicities in the envelope of musical rhythms during rhythm perception and imagination. Rhythm imagination was elicited by instructing participants to imagine the rhythm to continue during pauses of several repetitions. To identify electrodes whose periodicities in high-gamma activity track the periodicities in the musical rhythms, we compute the correlation between the autocorrelations (ACC) of both the musical rhythms and the neural signals. A condition in which participants listened to white noise was used to establish a baseline. High-gamma autocorrelations in auditory areas in the superior temporal gyrus and in frontal areas on both hemispheres significantly matched the autocorrelation of the musical rhythms. Overall, numerous significant electrodes are observed on the right hemisphere. Of particular interest is a large cluster of electrodes in the right prefrontal cortex that is active during both rhythm perception and imagination. This indicates conscious processing of the rhythms’ structure as opposed to mere auditory phenomena. The ACC approach clearly highlights that high-gamma activity measured from cortical electrodes tracks both attended and imagined rhythms.


2003 ◽  
Vol 89 (2) ◽  
pp. 1136-1142 ◽  
Author(s):  
Yoram Ben-Shaul ◽  
Eran Stark ◽  
Itay Asher ◽  
Rotem Drori ◽  
Zoltan Nadasdy ◽  
...  

Although previous studies have shown that activity of neurons in the motor cortex is related to various movement parameters, including the direction of movement, the spatial pattern by which these parameters are represented is still unresolved. The current work was designed to study the pattern of representation of the preferred direction (PD) of hand movement over the cortical surface. By studying pairwise PD differences, and by applying a novel implementation of the circular variance during preparation and movement periods in the context of a center-out task, we demonstrate a nonrandom distribution of PDs over the premotor and motor cortical surface of two monkeys. Our analysis shows that, whereas PDs of units recorded by nonadjacent electrodes are not more similar than expected by chance, PDs of units recorded by adjacent electrodes are. PDs of units recorded by a single electrode display the greatest similarity. Comparison of PD distributions during preparation and movement reveals that PDs of nearby units tend to be more similar during the preparation period. However, even for pairs of units recorded by a single electrode, the mean PD difference is typically large (45° and 75° during preparation and movement, respectively), so that a strictly modular representation of hand movement direction over the cortical surface is not supported by our data.


2014 ◽  
Vol 82 (5) ◽  
pp. 912.e1-912.e10 ◽  
Author(s):  
Hiroshi Ogawa ◽  
Kyousuke Kamada ◽  
Christoph Kapeller ◽  
Satoru Hiroshima ◽  
Robert Prueckl ◽  
...  

AI & Society ◽  
2017 ◽  
Vol 33 (4) ◽  
pp. 621-629 ◽  
Author(s):  
Rihab Bousseta ◽  
Salma Tayeb ◽  
Issam El Ouakouak ◽  
Mourad Gharbi ◽  
Fakhita Regragui ◽  
...  

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