Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals [science fiction / research]

Dudes, time to put on y'alls thinking hats. Those that will go on a train or tram don't forget the aluminum foil hat ;)

Reconstructing Three-Dimensional Hand Movements from Noninvasive
Electroencephalographic Signals

Trent J. Bradberry,1 Rodolphe J. Gentili,2,3 and JoseŽ L. Contreras-Vidal1,2,3

1 Fischell Department of Bioengineering,
2 Department of Kinesiology, and
3 Graduate Program in Neuroscience and Cognitive Science, University of Maryland, College Park, Maryland 20742

[text below]

It is generally thought that the signal-to-noise ratio, the bandwidth, and the information content of neural data acquired via noninvasive scalp electroencephalography (EEG) are
insufficient to extract detailed informationaboutnatural, multijointmovementsof theupperlimb. Here,wechallenge thisassumptionbycontinuouslydecodingthree-dimensional
(3D) hand velocity from neural data acquired from the scalp with 55-channel EEG during a 3D center-out reaching task. To preserve ecological validity, five subjects self-initiated
reaches and self-selected targets. Eye movements were controlled so they would not confound the interpretation of the results. With only 34 sensors, the correlation between
measured and reconstructed velocity profiles compared reasonably well to that reported by studies that decoded hand kinematics from neural activity acquired intracranially.We
subsequently examined the individual contributions of EEG sensors to decoding to find substantial involvement of scalp areas over the sensorimotor cortex contralateral to the
reaching hand. Using standardized low-resolution brain electromagnetic tomography (sLORETA), we identified distributed current density sources related to hand velocity in the
contralateral precentral gyrus, postcentral gyrus, and inferior parietal lobule. Furthermore, we discovered that movement variability negatively correlated with decoding accuracy, a
finding to consider during the development of brain–computer interface systems. Overall, the ability to continuously decode 3D hand velocity from EEG during natural, center-out
reaching holds promise for the furtherance of noninvasive neuromotor prostheses for movement-impaired individuals.

The Journal of Neuroscience, March 3, 2010 • 30(9):3432–3437

Cite this article:
Wolf Schweitzer: Technical Below Elbow Amputee Issues - Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals [science fiction / research]; published 04/03/2010, 14:10; URL: https://www.swisswuff.ch/tech/?p=291.

BibTeX: @MISC{schweitzer_wolf_1603886486, author = {Wolf Schweitzer}, title = {{Technical Below Elbow Amputee Issues - Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals [science fiction / research]}}, month = {March},year = {2010}, url = {https://www.swisswuff.ch/tech/?p=291}}