Literature DB >> 18400905

Functional structure of the mitral cell dendritic tuft in the rat olfactory bulb.

Maja Djurisic1, Marko Popovic, Nicholas Carnevale, Dejan Zecevic.   

Abstract

The input-output transform performed by mitral cells, the principal projection neurons of the olfactory bulb, is one of the key factors in understanding olfaction. We used combined calcium and voltage imaging from the same neuron and computer modeling to investigate signal processing in the mitral cells, focusing on the glomerular dendritic tuft. The main finding was that the dendritic tuft functions as a single electrical compartment for subthreshold signals within the range of amplitudes detectable by voltage-sensitive dye recording. These evoked EPSPs had uniform characteristics throughout the glomerular tuft. The Ca(2+) transients associated with spatially uniform subthreshold synaptic potentials were comparable but not equal in amplitude in all regions. The average range of normalized amplitudes of the EPSP-driven Ca(2+) signals from different locations on dendritic branches in the glomerular tuft was relatively narrow and appeared to be independent of the dendritic surface-to-volume ratio. The computer simulations constrained by the imaging data indicated that a synchronized activation of approximately 100 synapses randomly distributed on tuft branches was sufficient to generate spatially homogenous EPSPs. This number of activated synapses is consistent with the data from anatomical studies. Furthermore, voltage attenuation of the EPSP along the primary dendrite at physiological temperature was weak compared with other cell types. In the model, weak attenuation of the EPSP along the primary dendrite could be accounted for by passive electrical properties of the mitral cell.

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Year:  2008        PMID: 18400905      PMCID: PMC6670455          DOI: 10.1523/JNEUROSCI.5296-07.2008

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  18 in total

1.  Fast state-space methods for inferring dendritic synaptic connectivity.

Authors:  Ari Pakman; Jonathan Huggins; Carl Smith; Liam Paninski
Journal:  J Comput Neurosci       Date:  2014-06       Impact factor: 1.621

2.  Fast Kalman filtering on quasilinear dendritic trees.

Authors:  Liam Paninski
Journal:  J Comput Neurosci       Date:  2009-11-27       Impact factor: 1.621

3.  The spatio-temporal characteristics of action potential initiation in layer 5 pyramidal neurons: a voltage imaging study.

Authors:  Marko A Popovic; Amanda J Foust; David A McCormick; Dejan Zecevic
Journal:  J Physiol       Date:  2011-06-13       Impact factor: 5.182

4.  Optimal experimental design for sampling voltage on dendritic trees in the low-SNR regime.

Authors:  Jonathan Hunter Huggins; Liam Paninski
Journal:  J Comput Neurosci       Date:  2011-08-23       Impact factor: 1.621

5.  Imaging membrane potential changes from dendritic spines using computer-generated holography.

Authors:  Dimitrii Tanese; Ju-Yun Weng; Valeria Zampini; Vincent De Sars; Marco Canepari; Balazs Rozsa; Valentina Emiliani; Dejan Zecevic
Journal:  Neurophotonics       Date:  2017-05-12       Impact factor: 3.593

6.  Cortical dendritic spine heads are not electrically isolated by the spine neck from membrane potential signals in parent dendrites.

Authors:  Marko A Popovic; Xin Gao; Nicholas T Carnevale; Dejan Zecevic
Journal:  Cereb Cortex       Date:  2012-10-10       Impact factor: 5.357

7.  Mitral cells in the olfactory bulb are mainly excited through a multistep signaling path.

Authors:  David H Gire; Kevin M Franks; Joseph D Zak; Kenji F Tanaka; Jennifer D Whitesell; Abigail A Mulligan; René Hen; Nathan E Schoppa
Journal:  J Neurosci       Date:  2012-02-29       Impact factor: 6.167

Review 8.  Wide-field and two-photon imaging of brain activity with voltage- and calcium-sensitive dyes.

Authors:  Ryota Homma; Bradley J Baker; Lei Jin; Olga Garaschuk; Arthur Konnerth; Lawrence B Cohen; Dejan Zecevic
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-09-12       Impact factor: 6.237

Review 9.  A new look at state-space models for neural data.

Authors:  Liam Paninski; Yashar Ahmadian; Daniel Gil Ferreira; Shinsuke Koyama; Kamiar Rahnama Rad; Michael Vidne; Joshua Vogelstein; Wei Wu
Journal:  J Comput Neurosci       Date:  2009-08-01       Impact factor: 1.621

Review 10.  Imaging Submillisecond Membrane Potential Changes from Individual Regions of Single Axons, Dendrites and Spines.

Authors:  Marko Popovic; Kaspar Vogt; Knut Holthoff; Arthur Konnerth; Brian M Salzberg; Amiram Grinvald; Srdjan D Antic; Marco Canepari; Dejan Zecevic
Journal:  Adv Exp Med Biol       Date:  2015       Impact factor: 2.622

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