Tonic Motor Cortex Activation during Finger Movements Analyzed by Simultaneous DC Magnetoencephalography and DC Electroencephalography

2004 ◽  
Vol 35 (03) ◽  
Author(s):  
S Leistner ◽  
T Sander ◽  
M Burghoff ◽  
G Curio ◽  
L Trahms ◽  
...  
1999 ◽  
Vol 110 (9) ◽  
pp. 1589-1600 ◽  
Author(s):  
Till D. Waberski ◽  
Helmut Buchner ◽  
Michael Perkuhn ◽  
René Gobbelé ◽  
Michael Wagner ◽  
...  

Neurology ◽  
2004 ◽  
Vol 62 (1) ◽  
pp. 91-98 ◽  
Author(s):  
M. Kobayashi ◽  
S. Hutchinson ◽  
H. Theoret ◽  
G. Schlaug ◽  
A. Pascual-Leone

1997 ◽  
Vol 41 (2) ◽  
pp. 247-254 ◽  
Author(s):  
Robert Chen ◽  
Christian Gerloff ◽  
Mark Hallett ◽  
Leonardo G. Cohen

2003 ◽  
Vol 114 (10) ◽  
pp. 1819-1826 ◽  
Author(s):  
Cornelia Rau ◽  
Christian Plewnia ◽  
Friedhelm Hummel ◽  
Christian Gerloff

1999 ◽  
Vol 81 (1) ◽  
pp. 383-387 ◽  
Author(s):  
Steven C. Cramer ◽  
Seth P. Finklestein ◽  
Judith D. Schaechter ◽  
George Bush ◽  
Bruce R. Rosen

Cramer, Steven C., Seth P. Finklestein, Judith D. Schaechter, George Bush, and Bruce R. Rosen. Activation of distinct motor cortex regions during ipsilateral and contralateral finger movements. J. Neurophysiol. 81: 383–387, 1999. Previous studies have shown that unilateral finger movements are normally accompanied by a small activation in ipsilateral motor cortex. The magnitude of this activation has been shown to be altered in a number of conditions, particularly in association with stroke recovery. The site of this activation, however, has received limited attention. To address this question, functional magnetic resonance imaging (MRI) was used to study precentral gyrus activation in six control and three stroke patients during right index finger tapping, then during left index finger tapping. In each hemisphere, the most significantly activated site ( P < 0.001 required) was identified during ipsilateral and during contralateral finger tapping. In the motor cortex of each hemisphere, the site activated during use of the ipsilateral hand differed from that found during use of the contralateral hand. Among the 11 control hemispheres showing significant activation during both motor tasks, the site for ipsilateral hand representation (relative to contralateral hand site in the same hemisphere) was significantly shifted ventrally in all 11 hemispheres (mean, 11 mm), laterally in 10/11 hemispheres (mean, 12 mm), and anteriorly in 8/11 hemispheres (mean, 10 mm). In 6 of 11 hemispheres, tapping of the contralateral finger simultaneously activated both the ipsilateral and the contralateral finger sites, suggesting bilateral motor control by the ipsilateral finger site. The sites activated during ipsilateral and contralateral hand movement showed similar differences in the unaffected hemisphere of stroke patients. The region of motor cortex activated during ipsilateral hand movements is spatially distinct from that identified during contralateral hand movements.


2013 ◽  
Vol 3 (6) ◽  
pp. 747-762 ◽  
Author(s):  
Masataka Suzuki ◽  
Toshiaki Wasaka ◽  
Koji Inui ◽  
Ryusuke Kakigi

2007 ◽  
Vol 180 (1) ◽  
pp. 105-111 ◽  
Author(s):  
R. Agostino ◽  
E. Iezzi ◽  
L. Dinapoli ◽  
F. Gilio ◽  
A. Conte ◽  
...  

2007 ◽  
Vol 98 (1) ◽  
pp. 327-333 ◽  
Author(s):  
S. Ben Hamed ◽  
M. H. Schieber ◽  
A. Pouget

We tested several techniques for decoding the activity of primary motor cortex (M1) neurons during movements of single fingers or pairs of fingers. We report that single finger movements can be decoded with >99% accuracy using as few as 30 neurons randomly selected from populations of task-related neurons recorded from the M1 hand representation. This number was reduced to 20 neurons or less when the neurons were not picked randomly but selected on the basis of their information content. We extended techniques for decoding single finger movements to the problem of decoding the simultaneous movement of two fingers. Movements of pairs of fingers were decoded with 90.9% accuracy from 100 neurons. The techniques we used to obtain these results can be applied, not only to movements of single fingers and pairs of fingers as reported here, but also to movements of arbitrary combinations of fingers. The remarkably small number of neurons needed to decode a relatively large repertoire of movements involving either one or two effectors is encouraging for the development of neural prosthetics that will control hand movements.


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