scholarly journals Microstructural properties of premotor pathways predict visuomotor performance in chronic stroke

2016 ◽  
Vol 37 (6) ◽  
pp. 2039-2054 ◽  
Author(s):  
Derek B. Archer ◽  
Gaurav Misra ◽  
Carolynn Patten ◽  
Stephen A. Coombes
Keyword(s):  
Chronic Stroke ◽  
Microstructural Properties ◽  
Premotor Pathways ◽  
Visuomotor Performance

Extraction of corticospinal tract microstructural properties in chronic stroke

2018 ◽  
Vol 301 ◽  
pp. 34-42 ◽  
Author(s):  
S.J. Feldman ◽  
L.A. Boyd ◽  
J.L. Neva ◽  
S. Peters ◽  
K.S. Hayward
Keyword(s):  
Corticospinal Tract ◽  
Chronic Stroke ◽  
Microstructural Properties

Arm Rehab Boosts Function in Chronic Stroke

2010 ◽  
Vol 43 (7) ◽  
pp. 43
Author(s):  
MITCHEL L. ZOLER
Keyword(s):  
Chronic Stroke

Spectral and Topographic Microstructure of Brain Alpha Activity During Drowsiness at Sleep Onset and REM Sleep

2000 ◽  
Vol 14 (3) ◽  
pp. 151-158 ◽  
Author(s):  
José Luis Cantero ◽  
Mercedes Atienza
Keyword(s):  
Rem Sleep ◽  
Spectral Component ◽  
Sleep Onset ◽  
Quantitative Information ◽  
Maximum Energy ◽  
Alpha Activity ◽  
The Other ◽  
Classification Algorithms ◽  
Microstructural Properties ◽  
Brain States

Abstract High-resolution frequency methods were used to describe the spectral and topographic microstructure of human spontaneous alpha activity in the drowsiness (DR) period at sleep onset and during REM sleep. Electroencephalographic (EEG), electrooculographic (EOG), and electromyographic (EMG) measurements were obtained during sleep in 10 healthy volunteer subjects. Spectral microstructure of alpha activity during DR showed a significant maximum power with respect to REM-alpha bursts for the components in the 9.7-10.9 Hz range, whereas REM-alpha bursts reached their maximum statistical differentiation from the sleep onset alpha activity at the components between 7.8 and 8.6 Hz. Furthermore, the maximum energy over occipital regions appeared in a different spectral component in each brain activation state, namely, 10.1 Hz in drowsiness and 8.6 Hz in REM sleep. These results provide quantitative information for differentiating the drowsiness alpha activity and REM-alpha by studying their microstructural properties. On the other hand, these data suggest that the spectral microstructure of alpha activity during sleep onset and REM sleep could be a useful index to implement in automatic classification algorithms in order to improve the differentiation between the two brain states.

Aerobic locomotor exercise modulates brain activation patterns in chronic stroke survivors

2005 ◽  
Vol 32 (S 4) ◽  
Author(s):  
A.R Luft ◽  
L Forrester ◽  
F Villagra ◽  
R Macko ◽  
D.F Hanley
Keyword(s):  
Brain Activation ◽  
Chronic Stroke ◽  
Stroke Survivors ◽  
Activation Patterns
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