Abstract
The function of any brain structure is to a large extent determined by its interactions with other brain areas or the sensory inputs it receives. The cerebellum has massive reciprocal connections with the cerebral cortex via the thalamus and pontine nuclei. Functional magnetic resonance imaging studies used measures of correlated BOLD signals to demonstrate functional connectivity between virtually all cerebral cortical areas and the cerebellum. Those studies ultimately led to a crucial revision of the long-standing belief of a predominance of sensorimotor areas being connected with the cerebellum. Instead, the results revealed that much of the cerebellar cortical surface is functionally connected with association areas of the cerebral cortex, providing a neurophysiological basis of cerebellar cognitive function. Studies of cerebellar involvement in cognitive function must take those interactions into account by observing neuronal activity in functionally connected areas during relevant behaviors. Here we describe a multi-site extracellular recording approach we developed to simultaneously record neuronal activity in the medial prefrontal cortex, dorsal hippocampus, and cerebellar cortex. Our focus is on the role of coherence of neuronal oscillations as a means of controlling neuronal communication between cerebral cortical areas and the proposed role of the cerebellum in coordinating the task specific modulation of cerebral cortical coherence.
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References
Schmahmann JD (2019) The cerebellum and cognition. Neurosci Lett 688:62–75
Buckner RL (2013) The cerebellum and cognitive function: 25 years of insight from anatomy and neuroimaging. Neuron 80(3):807–815
Buckner RL et al (2011) The organization of the human cerebellum estimated by intrinsic functional connectivity. J Neurophysiol 106(5):2322–2345
Popa D et al (2013) Functional role of the cerebellum in gamma-band synchronization of the sensory and motor cortices. J Neurosci 33(15):6552–6556
Fries P (2015) Rhythms for cognition: communication through coherence. Neuron 88(1):220–135
Fries P (2005) A mechanism for cognitive dynamics: neuronal communication through neuronal coherence. Trends Cogn Sci 9(10):474–480
Gordon JA (2011) Oscillations and hippocampal-prefrontal synchrony. Curr Opin Neurobiol 21(3):486–491
Churchwell JC, Kesner RP (2011) Hippocampal-prefrontal dynamics in spatial working memory: interactions and independent parallel processing. Behav Brain Res 225(2):389–395
Tort AB et al (2008) Dynamic cross-frequency couplings of local field potential oscillations in rat striatum and hippocampus during performance of a T-maze task. Proc Natl Acad Sci U S A 105(51):20517–20522
Jones MW, Wilson MA (2005) Theta rhythms coordinate hippocampal-prefrontal interactions in a spatial memory task. PLoS Biol 3(12):e402
Brissenden JA et al (2018) Topographic Cortico-cerebellar networks revealed by visual attention and working memory. Curr Biol 28(21):3364–3372. e5
Lefort JM et al (2015) Cerebellar contribution to spatial navigation: new insights into potential mechanisms. Cerebellum 14(1):59–62
Tomlinson SP et al (2014) Cerebellar contributions to spatial memory. Neurosci Lett 578:182–186
McAfee S et al (2019) Cerebellar lobulus simplex and crus I differentially represent phase and phase difference of prefrontal cortical and hippocampal oscillations. Cell Rep 27:2328–2334
Richman CL, Dember WN, Kim P (1987) Spontaneous alternation behavior in animals: a review. Curr Psychol Res Rev 5(4):358–391
Paxinos G, Franklin KBJ (2001) The mouse brain in stereotaxic coordinates, vol 2. Academic Press, San Diego
Buzsaki G (2015) Hippocampal sharp wave-ripple: a cognitive biomarker for episodic memory and planning. Hippocampus 25(10):1073–1188
Thach WT (1968) Discharge of cerebellar Purkinje and nuclear neurons during rapidly alternating arm movements in the monkey. J. Neurophysiol 31:785–797
Sofroniew NJ et al (2014) Natural whisker-guided behavior by head-fixed mice in tactile virtual reality. J Neurosci 34(29):9537–9550
Vishniakou I, Ploger PG, Seelig JD (2019) Virtual reality for animal navigation with camera-based optical flow tracking. J Neurosci Methods 327:108403
Lalonde R (2002) The neurobiological basis of spontaneous alternation. Neurosci Biobehav Rev 26:91–104
Liu Y, McAfee SS, Van Der Heijden ME, Dhamala M, Sillitoe RV, Heck DH (2020) Causal evidence for a cerebellar role in prefrontal-hippocampal interaction in spatial working memory decision-making. bioRxiv 2020.03.16.994541; https://doi.org/10.1101/2020.03.16.994541
Thach WT (1970) Discharge of cerebellar neurons related to two maintained postures and two prompt movements. II. Purkinje cell output and input. J Neurophysiol 33:537–547
Cao Y et al (2012) Behavior related pauses in simple spike activity of mouse Purkinje cells are linked to spike rate modulation. J Neurosci 32(25):8678–8685
Kros L et al (2017) Synchronicity and rhythmicity of Purkinje cell firing during generalized spike-and-wave discharges in a natural mouse model of absence epilepsy. Front Cell Neurosci 11:346
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Liu, Y., Correia, B.L., Fox, M.B., Heck, D.H. (2022). Investigating Cerebrocerebellar Neuronal Interactions in Freely Moving Mice Using Multi-electrode, Multi-site Recordings. In: Sillitoe, R.V. (eds) Measuring Cerebellar Function. Neuromethods, vol 177. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2026-7_11
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DOI: https://doi.org/10.1007/978-1-0716-2026-7_11
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