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      Dendritic atrophy constricts functional maps in resonance and impedance properties of hippocampal model neurons

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          Abstract

          A gradient in the density of hyperpolarization-activated cyclic-nucleotide gated (HCN) channels is necessary for the emergence of several functional maps within hippocampal pyramidal neurons. Here, we systematically analyzed the impact of dendritic atrophy on nine such functional maps, related to input resistance and local/transfer impedance properties, using conductance-based models of hippocampal pyramidal neurons. We introduced progressive dendritic atrophy in a CA1 pyramidal neuron reconstruction through a pruning algorithm, measured all functional maps in each pruned reconstruction, and arrived at functional forms for the dependence of underlying measurements on dendritic length. We found that, across frequencies, atrophied neurons responded with higher efficiency to incoming inputs, and the transfer of signals across the dendritic tree was more effective in an atrophied reconstruction. Importantly, despite the presence of identical HCN-channel density gradients, spatial gradients in input resistance, local/transfer resonance frequencies and impedance profiles were significantly constricted in reconstructions with dendritic atrophy, where these physiological measurements across dendritic locations converged to similar values. These results revealed that, in atrophied dendritic structures, the presence of an ion channel density gradient alone was insufficient to sustain homologous functional maps along the same neuronal topograph. We assessed the biophysical basis for these conclusions and found that this atrophy-induced constriction of functional maps was mediated by an enhanced spatial spread of the influence of an HCN-channel cluster in atrophied trees. These results demonstrated that the influence fields of ion channel conductances need to be localized for channel gradients to express themselves as homologous functional maps, suggesting that ion channel gradients are necessary but not sufficient for the emergence of functional maps within single neurons.

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          Most cited references88

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          Theta oscillations in the hippocampus.

          Theta oscillations represent the "on-line" state of the hippocampus. The extracellular currents underlying theta waves are generated mainly by the entorhinal input, CA3 (Schaffer) collaterals, and voltage-dependent Ca(2+) currents in pyramidal cell dendrites. The rhythm is believed to be critical for temporal coding/decoding of active neuronal ensembles and the modification of synaptic weights. Nevertheless, numerous critical issues regarding both the generation of theta oscillations and their functional significance remain challenges for future research.
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            The θ-γ neural code.

            Theta and gamma frequency oscillations occur in the same brain regions and interact with each other, a process called cross-frequency coupling. Here, we review evidence for the following hypothesis: that the dual oscillations form a code for representing multiple items in an ordered way. This form of coding has been most clearly demonstrated in the hippocampus, where different spatial information is represented in different gamma subcycles of a theta cycle. Other experiments have tested the functional importance of oscillations and their coupling. These involve correlation of oscillatory properties with memory states, correlation with memory performance, and effects of disrupting oscillations on memory. Recent work suggests that this coding scheme coordinates communication between brain regions and is involved in sensory as well as memory processes. Copyright © 2013 Elsevier Inc. All rights reserved.
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              Rhythms of the Brain

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                Author and article information

                Contributors
                Journal
                Front Cell Neurosci
                Front Cell Neurosci
                Front. Cell. Neurosci.
                Frontiers in Cellular Neuroscience
                Frontiers Media S.A.
                1662-5102
                12 January 2015
                2014
                : 8
                : 456
                Affiliations
                [1] 1Cellular Neurophysiology Laboratory, Indian Institute of Science Bangalore, India
                [2] 2Centre for Converging Technologies, University of Rajasthan Jaipur, India
                Author notes

                Edited by: Sergey M. Korogod, National Academy of Sciences of Ukraine, Ukraine

                Reviewed by: Benjamin Torben-Nielsen, Okinawa Institute of Science and Technology Graduate University, Japan; Peter Jedlicka, Goethe University, Germany

                *Correspondence: Rishikesh Narayanan, Cellular Neurophysiology Laboratory, Indian Institute of Science, Molecular Biophysics Unit, Bangalore 560012, India e-mail: rishi@ 123456mbu.iisc.ernet.in

                This article was submitted to the journal Frontiers in Cellular Neuroscience.

                Article
                10.3389/fncel.2014.00456
                4289900
                25628537
                7c112938-6e7e-4c25-940c-67a0916743b3
                Copyright © 2015 Dhupia, Rathour and Narayanan.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 07 September 2014
                : 16 December 2014
                Page count
                Figures: 9, Tables: 0, Equations: 9, References: 100, Pages: 17, Words: 11413
                Categories
                Neuroscience
                Original Research Article

                Neurosciences
                dendritic morphology,functional maps,hcn channel,impedance,resonance
                Neurosciences
                dendritic morphology, functional maps, hcn channel, impedance, resonance

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