Abstract

The dentate gyrus (DG), the input gate to the hippocampus proper, is anatomically segregated into three different sectors, namely, the suprapyramidal blade, the crest region, and the infrapyramidal blade. Although there are well-established differences between these sectors in terms of neuronal morphology, connectivity patterns, and activity levels, differences in electrophysiological properties of granule cells within these sectors have remained unexplored. Here, employing somatic whole cell patch-clamp recordings from the rat DG, we demonstrate that granule cells in these sectors manifest considerable heterogeneities in their intrinsic excitability, temporal summation, action potential characteristics, and frequency-dependent response properties. Across sectors, these neurons showed positive temporal summation of their responses to inputs mimicking excitatory postsynaptic currents and showed little to no sag in their voltage responses to pulse currents. Consistently, the impedance amplitude profile manifested low-pass characteristics and the impedance phase profile lacked positive phase values at all measured frequencies and voltages and for all sectors. Granule cells in all sectors exhibited class I excitability, with broadly linear firing rate profiles, and granule cells in the crest region fired significantly fewer action potentials compared with those in the infrapyramidal blade. Finally, we found weak pairwise correlations across the 18 different measurements obtained individually from each of the three sectors, providing evidence that these measurements are indeed reporting distinct aspects of neuronal physiology. Together, our analyses show that granule cells act as integrators of afferent information and emphasize the need to account for the considerable physiological heterogeneities in assessing their roles in information encoding and processing.NEW & NOTEWORTHY We employed whole cell patch-clamp recordings from granule cells in the three subregions of the rat dentate gyrus to demonstrate considerable heterogeneities in their intrinsic excitability, temporal summation, action potential characteristics, and frequency-dependent response properties. Across sectors, granule cells did not express membrane potential resonance, and their impedance profiles lacked inductive phase leads at all measured frequencies. Our analyses also show that granule cells manifest class I excitability characteristics, categorizing them as integrators of afferent information.

Highlights

  • The dentate gyrus (DG), the input gate to the mammalian hippocampus proper (Amaral et al 2007; Andersen et al 2006), has been implicated in spatial navigation, response decorrelation, pattern separation, and engram formation

  • We show that the granule cells in these different DG sectors manifest considerable heterogeneities in their intrinsic excitability, temporal summation, action potential (AP) characteristics, and frequency-dependent response properties

  • The total inductive phase was negligibly small across all voltages, confirming the absence of an inductive phase lead in the impedance profile of granule cells across all three sectors (Fig. 3F). Together these results demonstrated that DG granule cells exhibit low-pass response properties with a distinct absence of inductive lead in the impedance phase, at all subthreshold voltages and across the three sectors of the DG

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Summary

Introduction

The dentate gyrus (DG), the input gate to the mammalian hippocampus proper (Amaral et al 2007; Andersen et al 2006), has been implicated in spatial navigation, response decorrelation, pattern separation, and engram formation. Electrophysiological recordings from granule cells have been employed to evaluate their response characteristics, including assessments of important differences between mature and immature cell excitability (Fricke and Prince 1984; Krueppel et al 2011; Liu et al 1996; Mody et al 1992; Pedroni et al 2014; Schmidt-Hieber et al 2004; 2007; Staley et al 1992; van Praag et al 2002). As the DG is present within an oscillatory network (Bland 1986; Buzsáki 2002; Colgin 2013, 2016; Sainsbury and Bland 1981; Winson 1974, 1978), it is important that neuronal response properties are assessed in a frequency-dependent manner, rather than www.jn.org

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