Browse by author
Lookup NU author(s): Dr Demetris Soteropoulos,
Professor Stuart Baker
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
We studied the synchronization of single units in macaque deep cerebellar nuclei (DCN) with local field potentials (LFPs) in primary motor cortex (M1) bilaterally during performance of a precision grip task. Analysis was restricted to periods of steady holding, during which M1 oscillations are known to be strongest. Significant coherence between DCN units and M1 LFP oscillations bilaterally was seen at ∼10-40 Hz (contralateral M1: 25/87 units; ipsilateral: 9/87 units). Averaged coherence between DCN units and contralateral M1 LFP showed a prominent ∼17-Hz coherence peak and an average phase of approximately ∼π/2 radians, implying that the DCN units fired around the time of maximal depolarization of M1 cells. The lack of a time delay between DCN and M1 activity suggests that the cerebellum and cortex may form a pair of phase coupled oscillators. Although coherence values were low (mean peak coherence, 0.018), we used a computational model to show that this probably resulted from the nonlinearity of spike generating mechanisms within the DCN. DCN unit discharge and DCN LFPs also showed significant coherence at ∼10-40 Hz, with similarly low magnitude (mean peak coherence, 0.012). The average coherence phase was -2.5 radians for the 6- to 14-Hz range and -1.1 radians for the 17- to 41-Hz range, suggesting different frequencyspecific underlying mechanisms. Finally, 4/40 pairs of simultaneously recorded DCN units showed a significant cross-correlation peak, and 16/40 pairs showed significant unit-unit coherence. The extensive oscillatory synchronization observed between cerebellum and motor cortex may have functional importance in sensorimotor processing. Copyright © 2006 The American Physiological Society.
Author(s): Soteropoulos DS, Baker SN
Publication type: Article
Publication status: Published
Journal: Journal of Neurophysiology
ISSN (print): 0022-3077
ISSN (electronic): 1522-1598
Publisher: American Physiological Society
PubMed id: 16424458
Altmetrics provided by Altmetric