scholarly journals Altered Recruitment of Motor Cortex Neuronal Activity During the Grasping Phase of Skilled Reaching in a Chronic Rat Model of Unilateral Parkinsonism

2019 ◽  
Vol 39 (48) ◽  
pp. 9660-9672 ◽  
Author(s):  
Brian I. Hyland ◽  
Sonja Seeger-Armbruster ◽  
Roseanna A. Smither ◽  
Louise C. Parr-Brownlie
2017 ◽  
Vol 294 ◽  
pp. 19-31 ◽  
Author(s):  
Mesbah Alam ◽  
Regina Rumpel ◽  
Xingxing Jin ◽  
Christof von Wrangel ◽  
Sarah K. Tschirner ◽  
...  

IBRO Reports ◽  
2019 ◽  
Vol 6 ◽  
pp. S291
Author(s):  
Myeounghoon Cha ◽  
Kyeongmin Kim ◽  
Songyeon Choi ◽  
Bae Hwan Lee

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ellen G. Wann ◽  
Anirudh Wodeyar ◽  
Ramesh Srinivasan ◽  
Ron D. Frostig

AbstractStroke is a leading cause of death and the leading cause of long-term disability, but its electrophysiological basis is poorly understood. Characterizing acute ischemic neuronal activity dynamics is important for understanding the temporal and spatial development of ischemic pathophysiology and determining neuronal activity signatures of ischemia. Using a 32-microelectrode array spanning the depth of cortex, electrophysiological recordings generated for the first time a continuous spatiotemporal profile of local field potentials (LFP) and multi-unit activity (MUA) before (baseline) and directly after (0–5 h) distal, permanent MCA occlusion (pMCAo) in a rat model. Although evoked activity persisted for hours after pMCAo with minor differences from baseline, spatiotemporal analyses of spontaneous activity revealed that LFP became spatially and temporally synchronized regardless of cortical depth within minutes after pMCAo and extended over large parts of cortex. Such enhanced post-ischemic synchrony was found to be driven by increased bursts of low multi-frequency oscillations and continued throughout the acute ischemic period whereas synchrony measures minimally changed over the same recording period in surgical sham controls. EEG recordings of a similar frequency range have been applied to successfully predict stroke damage and recovery, suggesting clear clinical relevance for our rat model.


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