The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1

Corrado Calì, Marta Wawrzyniak, Carlos Becker, Bohumil Maco, Marco Cantoni, Anne Jorstad, Biagio Nigro, Federico Grillo, Vincenzo De Paola, Pascal Fua, Graham William Knott*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

41 Scopus citations

Abstract

This study has used dense reconstructions from serial EM images to compare the neuropil ultrastructure and connectivity of aged and adult mice. The analysis used models of axons, dendrites, and their synaptic connections, reconstructed from volumes of neuropil imaged in layer 1 of the somatosensory cortex. This shows the changes to neuropil structure that accompany a general loss of synapses in a well-defined brain region. The loss of excitatory synapses was balanced by an increase in their size such that the total amount of synaptic surface, per unit length of axon, and per unit volume of neuropil, stayed the same. There was also a greater reduction of inhibitory synapses than excitatory, particularly those found on dendritic spines, resulting in an increase in the excitatory/inhibitory balance. The close correlations, that exist in young and adult neurons, between spine volume, bouton volume, synaptic size, and docked vesicle numbers are all preserved during aging. These comparisons display features that indicate a reduced plasticity of cortical circuits, with fewer, more transient, connections, but nevertheless an enhancement of the remaining connectivity that compensates for a generalized synapse loss.

Original languageEnglish (US)
Article numbere0198131
JournalPloS one
Volume13
Issue number7
DOIs
StatePublished - Jul 2018

ASJC Scopus subject areas

  • General
  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences

Fingerprint

Dive into the research topics of 'The effects of aging on neuropil structure in mouse somatosensory cortex—A 3D electron microscopy analysis of layer 1'. Together they form a unique fingerprint.

Cite this