Imagined gait modulates neuronal network dynamics in the human pedunculopontine nucleus

Tattersall, Timothy L., Stratton, Peter G., Coyne, Terry J., Cook, Raymond, Silberstein, Paul, Silburn, Peter A., Windels, Francois and Sah, Pankaj (2014) Imagined gait modulates neuronal network dynamics in the human pedunculopontine nucleus. Nature Neuroscience, 17 3: 449-454. doi:10.1038/nn.3642

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Author Tattersall, Timothy L.
Stratton, Peter G.
Coyne, Terry J.
Cook, Raymond
Silberstein, Paul
Silburn, Peter A.
Windels, Francois
Sah, Pankaj
Title Imagined gait modulates neuronal network dynamics in the human pedunculopontine nucleus
Journal name Nature Neuroscience   Check publisher's open access policy
ISSN 1097-6256
1546-1726
Publication date 2014
Year available 2014
Sub-type Article (original research)
DOI 10.1038/nn.3642
Open Access Status File (Author Post-print)
Volume 17
Issue 3
Start page 449
End page 454
Total pages 6
Place of publication New York, NY United States
Publisher Nature Publishing Group
Collection year 2015
Language eng
Subject 2800 Neuroscience
Abstract The pedunculopontine nucleus (PPN) is a part of the mesencephalic locomotor region and is thought to be important for the initiation and maintenance of gait. Lesions of the PPN induce gait deficits, and the PPN has therefore emerged as a target for deep brain stimulation for the control of gait and postural disability. However, the role of the PPN in gait control is not understood. Using extracellular single-unit recordings in awake patients, we found that neurons in the PPN discharged as synchronous functional networks whose activity was phase locked to alpha oscillations. Neurons in the PPN responded to limb movement and imagined gait by dynamically changing network activity and decreasing alpha phase locking. Our results indicate that different synchronous networks are activated during initial motor planning and actual motion, and suggest that changes in gait initiation in Parkinson's disease may result from disrupted network activity in the PPN.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Queensland Brain Institute Publications
Official 2015 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 26 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 28 times in Scopus Article | Citations
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