Relationship between speed and EEG activity during imagined and executed hand movements

被引:113
作者
Yuan, Han [1 ]
Perdoni, Christopher [1 ]
He, Bin [1 ]
机构
[1] Univ Minnesota, Dept Biomed Engn, Minneapolis, MN 55455 USA
基金
美国国家科学基金会;
关键词
BRAIN-COMPUTER INTERFACE; MOTOR IMAGERY TASKS; CORTICAL REPRESENTATION; ARM MOVEMENTS; ALPHA-RHYTHM; CORTEX; DIRECTION; CLASSIFICATION; NEURONS; HUMANS;
D O I
10.1088/1741-2560/7/2/026001
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The relationship between primary motor cortex and movement kinematics has been shown in nonhuman primate studies of hand reaching or drawing tasks. Studies have demonstrated that the neural activities accompanying or immediately preceding the movement encode the direction, speed and other information. Here we investigated the relationship between the kinematics of imagined and actual hand movement, i.e. the clenching speed, and the EEG activity in ten human subjects. Study participants were asked to perform and imagine clenching of the left hand and right hand at various speeds. The EEG activity in the alpha (8-12 Hz) and beta (18-28 Hz) frequency bands were found to be linearly correlated with the speed of imagery clenching. Similar parametric modulation was also found during the execution of hand movements. A single equation relating the EEG activity to the speed and the hand (left versus right) was developed. This equation, which contained a linear independent combination of the two parameters, described the time-varying neural activity during the tasks. Based on the model, a regression approach was developed to decode the two parameters from the multiple-channel EEG signals. We demonstrated the continuous decoding of dynamic hand and speed information of the imagined clenching. In particular, the time-varying clenching speed was reconstructed in a bell-shaped profile. Our findings suggest an application to providing continuous and complex control of noninvasive brain-computer interface for movement-impaired paralytics.
引用
收藏
页数:10
相关论文
共 37 条
[1]   Decoding center-out hand velocity from MEG signals during visuomotor adaptation [J].
Bradberry, Trent J. ;
Rong, Feng ;
Contreras-Vidal, Jose L. .
NEUROIMAGE, 2009, 47 (04) :1691-1700
[2]   TEMPORAL ENCODING OF MOVEMENT KINEMATICS IN THE DISCHARGE OF PRIMATE PRIMARY MOTOR AND PREMOTOR NEURONS [J].
FU, QG ;
FLAMENT, D ;
COLTZ, JD ;
EBNER, TJ .
JOURNAL OF NEUROPHYSIOLOGY, 1995, 73 (02) :836-854
[3]  
GEORGOPOULOS AP, 1982, J NEUROSCI, V2, P1527
[4]   Simultaneous EEG and fMRI of the alpha rhythm [J].
Goldman, RI ;
Stern, JM ;
Engel, J ;
Cohen, MS .
NEUROREPORT, 2002, 13 (18) :2487-2492
[5]  
He B, 1999, CRIT REV BIOMED ENG, V27, P149
[6]   Local field potential spectral tuning in motor cortex during reaching [J].
Heldman, Dustin A. ;
Wang, Wei ;
Chan, Sherwin S. ;
Moran, Daniel W. .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2006, 14 (02) :180-183
[7]   Neuronal ensemble control of prosthetic devices by a human with tetraplegia [J].
Hochberg, Leigh R. ;
Serruya, Mijail D. ;
Friehs, Gerhard M. ;
Mukand, Jon A. ;
Saleh, Maryam ;
Caplan, Abraham H. ;
Branner, Almut ;
Chen, David ;
Penn, Richard D. ;
Donoghue, John P. .
NATURE, 2006, 442 (7099) :164-171
[8]   Classification of motor imagery tasks for brain-computer interface applications by means of two equivalent dipoles analysis [J].
Kamousi, B ;
Liu, ZM ;
He, B .
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2005, 13 (02) :166-171
[9]   Classification of motor imagery by means of cortical current density estimation and Von Neumann entropy [J].
Kamousi, Baharan ;
Amini, Ali Nasiri ;
He, Bin .
JOURNAL OF NEURAL ENGINEERING, 2007, 4 (02) :17-25
[10]  
KETTNER RE, 1988, J NEUROSCI, V8, P2938