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Related Experiment Video

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Thalamocortical input onto layer 5 pyramidal neurons measured using quantitative large-scale array tomography.

Jong-Cheol Rah1, Erhan Bas, Jennifer Colonell

  • 1Howard Hughes Medical Institute, Janelia Farm Research Campus Ashburn, VA, USA ; Developmental Synaptic Plasticity Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health Bethesda, MD, USA.

Frontiers in Neural Circuits
|November 26, 2013
PubMed
Summary
This summary is machine-generated.

Array tomography (AT) reveals how thalamocortical (TC) synapses are distributed on pyramidal neurons. These synapses cluster on specific dendritic branches, influencing neural circuit connectivity.

Keywords:
array tomographybarrel cortexdendritic integrationelectron microscopyneural circuitssynapse distributionthalamocortical synapse

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Area of Science:

  • Neuroscience
  • Cell Biology
  • Microscopy

Background:

  • Synapse location on pyramidal neurons impacts dendritic integration and plasticity.
  • Quantitative data on specific synaptic input distributions is limited.

Purpose of the Study:

  • To quantitatively map thalamocortical (TC) synapse distribution on layer 5 pyramidal neurons using array tomography (AT).
  • To assess the utility of AT for mapping synaptic connectivity.

Main Methods:

  • Verified AT's synapse identification capability using electron microscopy.
  • Employed large-scale array tomography (LSAT) to analyze TC synapse distribution in mouse somatosensory cortex.
  • Quantified synapse distribution on L5 pyramidal neurons within a defined cortical volume.

Main Results:

  • TC synapses predominantly target basal dendrites of layer 5 neurons and proximal apical dendrites in layer 4.
  • TC inputs exhibit branch bias and significant clustering, with nearest neighbors within 5-15 μm.
  • Demonstrated AT as a sensitive method for mapping synaptic input.

Conclusions:

  • Array tomography provides a quantitative method for mapping specific synaptic inputs.
  • Synapse clustering and distribution patterns offer insights into neural circuit organization.
  • AT is a valuable tool for studying functionally relevant anatomical connectivity.