Literature DB >> 28701532

Basal tree complexity shapes functional pathways in the prefrontal cortex.

Athanasia Papoutsi1, George Kastellakis1,2, Panayiota Poirazi3.   

Abstract

While the morphology of basal dendritic trees in cortical pyramidal neurons varies, the functional implications of this diversity are just starting to emerge. In layer 5 pyramidal neurons of the prefrontal cortex, for example, increased basal tree complexity determines the recruitment of these neurons into functional circuits. Here, we use a modeling approach to investigate whether and how the morphology of the basal tree mediates the functional output of neurons. We implemented 57 basal tree morphologies of layer 5 prefrontal pyramidal neurons of the rat and identified morphological types that were characterized by different response features, forming distinct functional types. These types were robust to a wide range of manipulations (distribution of active ionic mechanisms, NMDA conductance, somatic and apical tree morphology, or the number of activated synapses) and supported different temporal coding schemes at both the single neuron and the microcircuit level. We predict that the basal tree morphological diversity among neurons of the same class mediates their segregation into distinct functional pathways. Extension of our approach/findings to other cortical areas and/or layers or under pathological conditions may provide a generalized role of the basal trees for neuronal function.NEW & NOTEWORTHY Our results suggest that the segregation of neurons to different functional types based on their basal tree morphology is in large part independent of the distribution of active ionic mechanisms, NMDA conductance, somatic and apical tree morphology, and the number of activated synapses; different functional types support distinct temporal coding schemes. This can be exploited to create networks with diverse coding characteristics, thus contributing to the functional heterogeneity within the same layer and area.
Copyright © 2017 the American Physiological Society.

Entities:  

Keywords:  computational model; dendritic nonlinearities; temporal summation; types of neurons

Mesh:

Substances:

Year:  2017        PMID: 28701532      PMCID: PMC5626899          DOI: 10.1152/jn.00099.2017

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  72 in total

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3.  Locally synchronized synaptic inputs.

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4.  Analysis of excitatory microcircuitry in the medial entorhinal cortex reveals cell-type-specific differences.

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5.  Highly differentiated projection-specific cortical subnetworks.

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Journal:  J Neurosci       Date:  2011-07-13       Impact factor: 6.167

Review 6.  Cellular basis of working memory.

Authors:  P S Goldman-Rakic
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7.  Determinants of voltage attenuation in neocortical pyramidal neuron dendrites.

Authors:  G Stuart; N Spruston
Journal:  J Neurosci       Date:  1998-05-15       Impact factor: 6.167

8.  The expression of wild-type human amyloid precursor protein affects the dendritic phenotype of neocortical pyramidal neurons in transgenic mice.

Authors:  Alán Alpár; Uwe Ueberham; Martina K Brückner; Thomas Arendt; Ulrich Gärtner
Journal:  Int J Dev Neurosci       Date:  2005-12-27       Impact factor: 2.457

9.  Evidence for a decrease in basilar dendrites of pyramidal cells in schizophrenic medial prefrontal cortex.

Authors:  Kevin Broadbelt; William Byne; Liesl B Jones
Journal:  Schizophr Res       Date:  2002-11-01       Impact factor: 4.939

10.  Glutamate-bound NMDARs arising from in vivo-like network activity extend spatio-temporal integration in a L5 cortical pyramidal cell model.

Authors:  Matteo Farinella; Daniel T Ruedt; Padraig Gleeson; Frederic Lanore; R Angus Silver
Journal:  PLoS Comput Biol       Date:  2014-04-24       Impact factor: 4.475

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  2 in total

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Authors:  Panayiota Poirazi; Athanasia Papoutsi
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2.  Common Microscale and Macroscale Principles of Connectivity in the Human Brain.

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Journal:  J Neurosci       Date:  2022-04-14       Impact factor: 6.709

  2 in total

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