Open access resource for cellular-resolution analyses of corticocortical connectivity in the marmoset monkey

Abstract

Understanding the principles of neuronal connectivity requires tools for efficient quantification and visualization of large datasets. The primate cortex is particularly challenging due to its complex mosaic of areas, which in many cases lack clear boundaries. Here, we introduce a resource that allows exploration of results of 143 retrograde tracer injections in the marmoset neocortex. Data obtained in different animals are registered to a common stereotaxic space using an algorithm guided by expert delineation of histological borders, allowing accurate assignment of connections to areas despite interindividual variability. The resource incorporates tools for analyses relative to cytoarchitectural areas, including statistical properties such as the fraction of labeled neurons and the percentage of supragranular neurons. It also provides purely spatial (parcellation-free) data, based on the stereotaxic coordinates of 2 million labeled neurons. This resource helps bridge the gap between high-density cellular connectivity studies in rodents and imaging-based analyses of human brains.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 28, 2020
Source ID
10.1038/s41467-020-14858-0

Entities

People

  • Daniel K. Wójcik
  • David H. Reser
  • Jonathan M. Chan
  • Katrina H. Worthy
  • Lauretta Passarelli
  • Marcello Rosa
  • Natalia Jermakow
  • Panagiota Theodoni
  • Partha Mitra
  • Piotr Majka
  • Shi Bai
  • Sophia Bakola
  • Sylwia Bednarek
  • Xiao-Jing Wang

Organizations

  • Australian Research Council
  • Cold Spring Harbor Laboratory
  • Department of Education and Training
  • European Regional Development Fund
  • Indian Institute of Technology Madras
  • National Centre for Research and Development in Poland
  • National Health and Medical Research Council
  • National Institute of Mental Health
  • Office of Naval Research

Tags

Readers

  • Computer Networking
  • Neuroscience
  • Systems Analysis and Design

Technology Areas

  • Space