Literature DB >> 30782826

Multimodal gradients across mouse cortex.

Ben D Fulcher1, John D Murray2, Valerio Zerbi3, Xiao-Jing Wang4,5.   

Abstract

The primate cerebral cortex displays a hierarchy that extends from primary sensorimotor to association areas, supporting increasingly integrated function underpinned by a gradient of heterogeneity in the brain's microcircuits. The extent to which these hierarchical gradients are unique to primate or may reflect a conserved mammalian principle of brain organization remains unknown. Here we report the topographic similarity of large-scale gradients in cytoarchitecture, gene expression, interneuron cell densities, and long-range axonal connectivity, which vary from primary sensory to prefrontal areas of mouse cortex, highlighting an underappreciated spatial dimension of mouse cortical specialization. Using the T1-weighted:T2-weighted (T1w:T2w) magnetic resonance imaging map as a common spatial reference for comparison across species, we report interspecies agreement in a range of large-scale cortical gradients, including a significant correspondence between gene transcriptional maps in mouse cortex with their human orthologs in human cortex, as well as notable interspecies differences. Our results support the view of systematic structural variation across cortical areas as a core organizational principle that may underlie hierarchical specialization in mammalian brains.

Entities:  

Keywords:  cortical gradients; cortical hierarchy; gene expression; interspecies comparison

Year:  2019        PMID: 30782826      PMCID: PMC6410879          DOI: 10.1073/pnas.1814144116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  47 in total

1.  Cerebral cortical folding, parcellation, and connectivity in humans, nonhuman primates, and mice.

Authors:  David C Van Essen; Chad J Donahue; Timothy S Coalson; Henry Kennedy; Takuya Hayashi; Matthew F Glasser
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-23       Impact factor: 11.205

2.  Highlights from the Era of Open Source Web-Based Tools.

Authors:  Kristin R Anderson; Julie A Harris; Lydia Ng; Pjotr Prins; Sara Memar; Bengt Ljungquist; Daniel Fürth; Robert W Williams; Giorgio A Ascoli; Dani Dumitriu
Journal:  J Neurosci       Date:  2021-01-20       Impact factor: 6.167

3.  BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets.

Authors:  Reinder Vos de Wael; Oualid Benkarim; Jonathan Smallwood; Boris C Bernhardt; Casey Paquola; Sara Lariviere; Jessica Royer; Shahin Tavakol; Ting Xu; Seok-Jun Hong; Georg Langs; Sofie Valk; Bratislav Misic; Michael Milham; Daniel Margulies
Journal:  Commun Biol       Date:  2020-03-05

Review 4.  Macroscopic gradients of synaptic excitation and inhibition in the neocortex.

Authors:  Xiao-Jing Wang
Journal:  Nat Rev Neurosci       Date:  2020-02-06       Impact factor: 34.870

5.  Self-organization of cortical areas in the development and evolution of neocortex.

Authors:  Nabil Imam; Barbara L Finlay
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-02       Impact factor: 11.205

6.  Mapping gene transcription and neurocognition across human neocortex.

Authors:  Justine Y Hansen; Ross D Markello; Jacob W Vogel; Jakob Seidlitz; Danilo Bzdok; Bratislav Misic
Journal:  Nat Hum Behav       Date:  2021-03-25

7.  Mechanisms of distributed working memory in a large-scale network of macaque neocortex.

Authors:  Jorge F Mejías; Xiao-Jing Wang
Journal:  Elife       Date:  2022-02-24       Impact factor: 8.140

8.  Hierarchical dynamics as a macroscopic organizing principle of the human brain.

Authors:  Ryan V Raut; Abraham Z Snyder; Marcus E Raichle
Journal:  Proc Natl Acad Sci U S A       Date:  2020-08-12       Impact factor: 11.205

Review 9.  A Dendrite-Focused Framework for Understanding the Actions of Ketamine and Psychedelics.

Authors:  Neil K Savalia; Ling-Xiao Shao; Alex C Kwan
Journal:  Trends Neurosci       Date:  2020-12-21       Impact factor: 13.837

10.  Computational modeling of tau pathology spread reveals patterns of regional vulnerability and the impact of a genetic risk factor.

Authors:  Eli J Cornblath; Howard L Li; Lakshmi Changolkar; Bin Zhang; Hannah J Brown; Ronald J Gathagan; Modupe F Olufemi; John Q Trojanowski; Danielle S Bassett; Virginia M Y Lee; Michael X Henderson
Journal:  Sci Adv       Date:  2021-06-09       Impact factor: 14.136

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