Literature DB >> 35922512

Modular strategy for development of the hierarchical visual network in mice.

Tomonari Murakami1,2,3, Teppei Matsui4,5,6,7,8, Masato Uemura9,10,11,12, Kenichi Ohki13,14,15,16.   

Abstract

Hierarchical and parallel networks are fundamental structures of the mammalian brain1-8. During development, lower- and higher-order thalamic nuclei and many cortical areas in the visual system form interareal connections and build hierarchical dorsal and ventral streams9-13. One hypothesis for the development of visual network wiring involves a sequential strategy wherein neural connections are sequentially formed alongside hierarchical structures from lower to higher areas14-17. However, this sequential strategy would be inefficient for building the entire visual network comprising numerous interareal connections. We show that neural pathways from the mouse retina to primary visual cortex (V1) or dorsal/ventral higher visual areas (HVAs) through lower- or higher-order thalamic nuclei form as parallel modules before corticocortical connections. Subsequently, corticocortical connections among V1 and HVAs emerge to combine these modules. Retina-derived activity propagating the initial parallel modules is necessary to establish retinotopic inter-module connections. Thus, the visual network develops in a modular manner involving initial establishment of parallel modules and their subsequent concatenation. Findings in this study raise the possibility that parallel modules from higher-order thalamic nuclei to HVAs act as templates for cortical ventral and dorsal streams and suggest that the brain has an efficient strategy for the development of a hierarchical network comprising numerous areas.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Mesh:

Year:  2022        PMID: 35922512     DOI: 10.1038/s41586-022-05045-w

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  53 in total

1.  Subdivisions of auditory cortex and processing streams in primates.

Authors:  J H Kaas; T A Hackett
Journal:  Proc Natl Acad Sci U S A       Date:  2000-10-24       Impact factor: 11.205

Review 2.  Thalamocortical development: how are we going to get there?

Authors:  Guillermina López-Bendito; Zoltán Molnár
Journal:  Nat Rev Neurosci       Date:  2003-04       Impact factor: 34.870

Review 3.  Is postnatal neocortical maturation hierarchical?

Authors:  R W Guillery
Journal:  Trends Neurosci       Date:  2005-10       Impact factor: 13.837

Review 4.  Pulvinar contributions to the dorsal and ventral streams of visual processing in primates.

Authors:  Jon H Kaas; David C Lyon
Journal:  Brain Res Rev       Date:  2007-03-12

Review 5.  Distributed hierarchical processing in the primate cerebral cortex.

Authors:  D J Felleman; D C Van Essen
Journal:  Cereb Cortex       Date:  1991 Jan-Feb       Impact factor: 5.357

Review 6.  Structural and functional brain networks: from connections to cognition.

Authors:  Hae-Jeong Park; Karl Friston
Journal:  Science       Date:  2013-11-01       Impact factor: 47.728

Review 7.  The functional logic of cortical connections.

Authors:  S Zeki; S Shipp
Journal:  Nature       Date:  1988-09-22       Impact factor: 49.962

8.  Higher-Order Thalamic Circuits Channel Parallel Streams of Visual Information in Mice.

Authors:  Corbett Bennett; Samuel D Gale; Marina E Garrett; Melissa L Newton; Edward M Callaway; Gabe J Murphy; Shawn R Olsen
Journal:  Neuron       Date:  2019-03-05       Impact factor: 17.173

9.  Network analysis of corticocortical connections reveals ventral and dorsal processing streams in mouse visual cortex.

Authors:  Quanxin Wang; Olaf Sporns; Andreas Burkhalter
Journal:  J Neurosci       Date:  2012-03-28       Impact factor: 6.167

10.  Anatomy of hierarchy: feedforward and feedback pathways in macaque visual cortex.

Authors:  Nikola T Markov; Julien Vezoli; Pascal Chameau; Arnaud Falchier; René Quilodran; Cyril Huissoud; Camille Lamy; Pierre Misery; Pascale Giroud; Shimon Ullman; Pascal Barone; Colette Dehay; Kenneth Knoblauch; Henry Kennedy
Journal:  J Comp Neurol       Date:  2014-01-01       Impact factor: 3.215

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