TY - JOUR
T1 - Electrocorticographic (ECoG) correlates of human arm movements
AU - Anderson, Nicholas R.
AU - Blakely, Tim
AU - Schalk, Gerwin
AU - Leuthardt, Eric C.
AU - Moran, Daniel W.
N1 - Funding Information:
Acknowledgments This work was supported in part by the Mc-Donnell Center for Higher Brain Function by grants from the NIH/ NIBIB (EB006356 (GS) and EB000856 (GS)), and from the US Army Research Office (W911NF-07-1-0415 (GS), W911NF-08-1-0216 (GS)). N. Anderson was with Washington University in St. Louis and is now with Cortech Solutions. T. Blakely was with Washington University in St. Louis and is now with the University of Washington. G. Schalk is with the Wadsworth Center, Albany, NY. E. Leuthardt is with Washington University School of Medicine in St. Louis. D. Moran is with Washington University in St. Louis.
PY - 2012/11
Y1 - 2012/11
N2 - Invasive and non-invasive brain-computer interface (BCI) studies have long focused on the motor cortex for kinematic control of artificial devices. Most of these studies have used single-neuron recordings or electroencephalography (EEG). Electrocorticography (ECoG) is a relatively new recording modality in BCI research that has primarily been built on successes in EEG recordings. We built on prior experiments related to single-neuron recording and quantitatively compare the extent to which different brain regions reflect kinematic tuning parameters of hand speed, direction, and velocity in both a reaching and tracing task in humans. Hand and arm movement experiments using ECoG have shown positive results before, but the tasks were not designed to tease out which kinematics are encoded. In non-human primates, the relationships among these kinematics have been more carefully documented, and we sought to begin elucidating that relationship in humans using ECoG. The largest modulation in ECoG activity for direction, speed, and velocity representation was found in the primary motor cortex. We also found consistent cosine tuning across both tasks, to hand direction and velocity in the high gamma band (70-160 Hz). Thus, the results of this study clarify the neural substrates involved in encoding aspects of motor preparation and execution and confirm the important role of the motor cortex in BCI applications.
AB - Invasive and non-invasive brain-computer interface (BCI) studies have long focused on the motor cortex for kinematic control of artificial devices. Most of these studies have used single-neuron recordings or electroencephalography (EEG). Electrocorticography (ECoG) is a relatively new recording modality in BCI research that has primarily been built on successes in EEG recordings. We built on prior experiments related to single-neuron recording and quantitatively compare the extent to which different brain regions reflect kinematic tuning parameters of hand speed, direction, and velocity in both a reaching and tracing task in humans. Hand and arm movement experiments using ECoG have shown positive results before, but the tasks were not designed to tease out which kinematics are encoded. In non-human primates, the relationships among these kinematics have been more carefully documented, and we sought to begin elucidating that relationship in humans using ECoG. The largest modulation in ECoG activity for direction, speed, and velocity representation was found in the primary motor cortex. We also found consistent cosine tuning across both tasks, to hand direction and velocity in the high gamma band (70-160 Hz). Thus, the results of this study clarify the neural substrates involved in encoding aspects of motor preparation and execution and confirm the important role of the motor cortex in BCI applications.
KW - Arm tuning
KW - Brain-computer interfaces
KW - Cosine tuning
KW - Electrocorticography
KW - Motor cortex
KW - Subdural electroencephalography
UR - http://www.scopus.com/inward/record.url?scp=84866506264&partnerID=8YFLogxK
U2 - 10.1007/s00221-012-3226-1
DO - 10.1007/s00221-012-3226-1
M3 - Article
C2 - 23001369
AN - SCOPUS:84866506264
SN - 0014-4819
VL - 223
SP - 1
EP - 10
JO - Experimental Brain Research
JF - Experimental Brain Research
IS - 1
ER -