Statements about the intrinsic firing modes available to the Purkinje neuron have recently found themselves amidst controversy [1,2]. While extracellular recordings from anesthetized animals and slices have shown a Purkinje neuron transitioning from up to down states -- respectively characterized by high frequency firing and longer quiescent periods -- these observations have not been convincingly reproduced in awake and behaving animals. The fulcrum of the controversy is whether the Purkinje neuron possesses intrinsic bistability, and in that case, (1) what triggers the bistability and (2) whether functional consequences can be derived from this fact.
The debate has thus far focused on the putative differences between different model organisms (mice, rats, cats, primates) and experimental settings (slices, anesthetics), with observations varying according to the individual combinations.
Stepping towards a resolution of this issue we have collected recordings from Monkey's (Macacca Mulata) cerebellar flocculus, both with an awake and behaving monkey, and during sleep. We encounter a range of differences between the activities of the cerebellum in these two states. Specifically, we find that during sleep the Purkinje activity tends to resemble that of anesthetized animals or slices, with longer pauses (up to 500 ms) related to complex spikes, and conversely, the absence of long pauses (<< 100 ms) in the awake and behaving monkey, finding instead a conspicuous rhythmicity in the low gamma frequency (40-80Hz). (Figure 1.)
Figure 1. Autocorrelation of LFP channels. On the left, a sleeping monkey’s LFP, on the right the LFP of the awake state.
It stands to reason that these two modes are related to the mossy fiber input, presumably much more coherent when the input volley relates to sensory and motor afferences (and cortical rhythms), and thereby suppressing the more intrinsic dynamics, which likely relate more closely to cerebellar cytoarchitectonics. By providing context to the seemingly discrepant observations, our conclusions appear both to justify, and thereby to approximate the opposing views, indicating moreover that to know how one type of activity becomes the other one must regard the afferent activity of the waking state as responsible for the transition.
We thank A. Ignashchenkova and P. Thier for sharing their data with us.
Nature Neuroscience 2006, 9(4):459-61.
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