Literature DB >> 22457489

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

Quanxin Wang1, Olaf Sporns, Andreas Burkhalter.   

Abstract

Much of the information used for visual perception and visually guided actions is processed in complex networks of connections within the cortex. To understand how this works in the normal brain and to determine the impact of disease, mice are promising models. In primate visual cortex, information is processed in a dorsal stream specialized for visuospatial processing and guided action and a ventral stream for object recognition. Here, we traced the outputs of 10 visual areas and used quantitative graph analytic tools of modern network science to determine, from the projection strengths in 39 cortical targets, the community structure of the network. We found a high density of the cortical graph that exceeded that shown previously in monkey. Each source area showed a unique distribution of projection weights across its targets (i.e., connectivity profile) that was well fit by a lognormal function. Importantly, the community structure was strongly dependent on the location of the source area: outputs from medial/anterior extrastriate areas were more strongly linked to parietal, motor, and limbic cortices, whereas lateral extrastriate areas were preferentially connected to temporal and parahippocampal cortices. These two subnetworks resemble dorsal and ventral cortical streams in primates, demonstrating that the basic layout of cortical networks is conserved across species.

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Year:  2012        PMID: 22457489      PMCID: PMC3328193          DOI: 10.1523/JNEUROSCI.6063-11.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  56 in total

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Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

10.  Weight consistency specifies regularities of macaque cortical networks.

Authors:  N T Markov; P Misery; A Falchier; C Lamy; J Vezoli; R Quilodran; M A Gariel; P Giroud; M Ercsey-Ravasz; L J Pilaz; C Huissoud; P Barone; C Dehay; Z Toroczkai; D C Van Essen; H Kennedy; K Knoblauch
Journal:  Cereb Cortex       Date:  2010-11-02       Impact factor: 5.357

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  147 in total

1.  Extrastriate connectivity of the mouse dorsal lateral geniculate thalamic nucleus.

Authors:  Michael S Bienkowski; Nora L Benavidez; Kevin Wu; Lin Gou; Marlene Becerra; Hong-Wei Dong
Journal:  J Comp Neurol       Date:  2019-02-04       Impact factor: 3.215

2.  Large-scale imaging of cortical dynamics during sensory perception and behavior.

Authors:  Joseph B Wekselblatt; Erik D Flister; Denise M Piscopo; Cristopher M Niell
Journal:  J Neurophysiol       Date:  2016-02-24       Impact factor: 2.714

Review 3.  Cortical high-density counterstream architectures.

Authors:  Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy; Nikola T Markov; Mária Ercsey-Ravasz; David C Van Essen
Journal:  Science       Date:  2013-11-01       Impact factor: 47.728

4.  Distinct balance of excitation and inhibition in an interareal feedforward and feedback circuit of mouse visual cortex.

Authors:  Weiguo Yang; Yarimar Carrasquillo; Bryan M Hooks; Jeanne M Nerbonne; Andreas Burkhalter
Journal:  J Neurosci       Date:  2013-10-30       Impact factor: 6.167

Review 5.  The log-dynamic brain: how skewed distributions affect network operations.

Authors:  György Buzsáki; Kenji Mizuseki
Journal:  Nat Rev Neurosci       Date:  2014-02-26       Impact factor: 34.870

Review 6.  Cerebral cartography and connectomics.

Authors:  Olaf Sporns
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-05-19       Impact factor: 6.237

Review 7.  Technologies for imaging neural activity in large volumes.

Authors:  Na Ji; Jeremy Freeman; Spencer L Smith
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

8.  A predictive network model of cerebral cortical connectivity based on a distance rule.

Authors:  Mária Ercsey-Ravasz; Nikola T Markov; Camille Lamy; David C Van Essen; Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy
Journal:  Neuron       Date:  2013-10-02       Impact factor: 17.173

9.  Stability of Network Communities as a Function of Task Complexity.

Authors:  Stefan Fuertinger; Kristina Simonyan
Journal:  J Cogn Neurosci       Date:  2016-08-30       Impact factor: 3.225

10.  Hunger-Dependent Enhancement of Food Cue Responses in Mouse Postrhinal Cortex and Lateral Amygdala.

Authors:  Christian R Burgess; Rohan N Ramesh; Arthur U Sugden; Kirsten M Levandowski; Margaret A Minnig; Henning Fenselau; Bradford B Lowell; Mark L Andermann
Journal:  Neuron       Date:  2016-08-11       Impact factor: 17.173

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