Connectivity of neuronal populations within and between areas of primate somatosensory cortex

  • E. Pálfi
  • L. Zalányi
  • M. Ashaber
  • C. Palmer
  • O. Kántor
  • A. W. Roe
  • R. M. Friedman
  • L. Négyessy
Original Article
  • 83 Downloads

Abstract

Functions of the cerebral cortex emerge via interactions of horizontally distributed neuronal populations within and across areas. However, the connectional underpinning of these interactions is not well understood. The present study explores the circuitry of column-size cortical domains within the hierarchically organized somatosensory cortical areas 3b and 1 using tract tracing and optical intrinsic signal imaging (OIS). The anatomical findings reveal that feedforward connections exhibit high topographic specificity, while intrinsic and feedback connections have a more widespread distribution. Both intrinsic and inter-areal connections are topographically oriented across the finger representations. Compared to area 3b, the low clustering of connections and small cortical magnification factor supports that the circuitry of area 1 scaffolds a sparse functional representation that integrates peripheral information from a large area that is fed back to area 3b. Fast information exchange between areas is ensured by thick axons forming a topographically organized, reciprocal pathway. Moreover, the highest density of projecting neurons and groups of axon arborization patches corresponds well with the size and locations of the functional population response reported by OIS. The findings establish connectional motifs at the mesoscopic level that underpin the functional organization of the cerebral cortex.

Keywords

Horizontal connections Cortical hierarchy Cortical magnification Optical intrinsic signal imaging Tract tracing 

Notes

Acknowledgements

Supported by the Fogarty International Research Collaboration Award, U.S. National Institutes of Health; Grant numbers: NS059061 (to A.W.R. and L.N.), NS044375 and NS093998 (to A.W.R.) as well as the Hungarian Scientific Research Fund; Grant number: OTKA NN79366 (to L.N.).

Funding

Fogarty International Research Collaboration Award, NS059061 (to A.W.R. and L.N.), U.S. National Institutes of Health NS044375 and NS093998 (to A.W.R.). Hungarian Scientific Research Fund; Grant number: OTKA NN79366 (to L.N.)

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Research involving human participants and/or animals

This article does not contain any studies with human participants performed by any of the authors.

Ethical approval

All applicable international, national, and/or institutional guidelines for the care and use of animals were followed. Animal care and surgeries were performed according to NIH (National Institute of Health) regulations and were in compliance with and approved by the Institutional Animal Care and Use Committee of Vanderbilt University.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Anatomy, Histology and EmbryologySemmelweis UniversityBudapestHungary
  2. 2.Complex Systems and Computational Neuroscience Group, Wigner Research Centre for PhysicsHungarian Academy of SciencesBudapestHungary
  3. 3.Department of Physiology and Biochemistry, Faculty of Veterinary ScienceSzent István UniversityBudapestHungary
  4. 4.Division of Biology and Biological EngineeringCalifornia Institute of TechnologyPasadenaUSA
  5. 5.Department of Mathematical SciencesUniversity of MontanaMissoulaUSA
  6. 6.Department of Neuroanatomy, Faculty of Medicine, Institute of Anatomy and Cell BiologyUniversity of FreiburgFreiburgGermany
  7. 7.Division of NeuroscienceOregon Health and Science UniversityPortlandUSA
  8. 8.Interdisciplinary Institute of Neuroscience and TechnologyZhejiang UniversityHangzhouChina

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