DocumentCode
718201
Title
Movement related directional tuning from broadband electrocorticography in humans
Author
Nurse, Ewan S. ; Freestone, Dean R. ; Oxley, Thomas J. ; Ackland, David C. ; Vogrin, Simon J. ; Murphy, Michael ; O´Brien, Terence J. ; Cook, Mark J. ; Grayden, David B.
Author_Institution
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Parkville, VIC, Australia
fYear
2015
fDate
22-24 April 2015
Firstpage
33
Lastpage
36
Abstract
Directional tuning is the tendency for cortical neurons to exhibit a peak firing rate when a limb is moved in a preferred direction. This phenomenon has been used to underpin decoding strategies in many brain-machine interface (BMI) systems. Although it is well established that individual motor neurons can be decoded using directional tuning, this is not as well understood at the scale of cortical local field potentials (LFPs). This study investigates the directional tuning properties of broadband electrocorticography (ECoG) recorded during a center-out task from two human participants. Selected bipolar ECoG channels demonstrated directional tuning in signal power from 85 - 250 Hz for both subjects. Directional tuning was observed across sensorimotor cortex, as well as frontal areas of cortex. The presence of directional tuning in broadband ECoG suggests the potential use of tuning curves as the basis of a LFP based BMI system.
Keywords
bioelectric potentials; biomechanics; biomedical communication; brain; brain-computer interfaces; decoding; handicapped aids; medical control systems; medical signal processing; neurophysiology; BMI; LFP; bipolar ECoG channels; brain-machine interface; broadband ECoG; broadband electrocorticography; center-out task; cortical local field potentials; cortical neurons; decoding strategies; frequency 85 Hz to 250 Hz; frontal cortex areas; humans; individual motor neurons; limb movement; movement related directional tuning; peak firing rate; sensorimotor cortex; Australia; Broadband communication; Decoding; Electrodes; Neurons; Signal to noise ratio; Tuning;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Engineering (NER), 2015 7th International IEEE/EMBS Conference on
Conference_Location
Montpellier
Type
conf
DOI
10.1109/NER.2015.7146553
Filename
7146553
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