Multimodal determinants of phase-locked dynamics across deep-superficial hippocampal sublayers during theta oscillations

Andrea Navas-Olive, Manuel Valero, Teresa Jurado-Parras, Adan Salas-Quiroga, Robert G. Averkin, Giuditta Gambino, Elena Cid and Liset M. Prida ()
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Andrea Navas-Olive: Instituto Cajal, CSIC
Manuel Valero: Instituto Cajal, CSIC
Teresa Jurado-Parras: Instituto Cajal, CSIC
Adan Salas-Quiroga: Instituto Cajal, CSIC
Robert G. Averkin: University of Szeged
Giuditta Gambino: Instituto Cajal, CSIC
Elena Cid: Instituto Cajal, CSIC
Liset M. Prida: Instituto Cajal, CSIC

Nature Communications, 2020, vol. 11, issue 1, 1-14

Abstract: Abstract Theta oscillations play a major role in temporarily defining the hippocampal rate code by translating behavioral sequences into neuronal representations. However, mechanisms constraining phase timing and cell-type-specific phase preference are unknown. Here, we employ computational models tuned with evolutionary algorithms to evaluate phase preference of individual CA1 pyramidal cells recorded in mice and rats not engaged in any particular memory task. We applied unbiased and hypothesis-free approaches to identify effects of intrinsic and synaptic factors, as well as cell morphology, in determining phase preference. We found that perisomatic inhibition delivered by complementary populations of basket cells interacts with input pathways to shape phase-locked specificity of deep and superficial pyramidal cells. Somatodendritic integration of fluctuating glutamatergic inputs defined cycle-by-cycle by unsupervised methods demonstrated that firing selection is tuneable across sublayers. Our data identify different mechanisms of phase-locking selectivity that are instrumental for flexible dynamical representations of theta sequences.

Date: 2020
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DOI: 10.1038/s41467-020-15840-6

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