@article{a4b1ec5ef7fd4b3c980d0df37045b5e8,
title = "The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles",
abstract = "The inter-areal wiring pattern of the mouse cerebral cortex was analyzed in relation to a refined parcellation of cortical areas. Twenty-seven retrograde tracer injections were made in 19 areas of a 47-area parcellation of the mouse neocortex. Flat mounts of the cortex and multiple histological markers enabled detailed counts of labeled neurons in individual areas. The observed log-normal distribution of connection weights to each cortical area spans 5 orders of magnitude and reveals a distinct connectivity profile for each area, analogous to that observed in macaques. The cortical network has a density of 97%, considerably higher than the 66% density reported in macaques. A weighted graph analysis reveals a similar global efficiency but weaker spatial clustering compared with that reported in macaques. The consistency, precision of the connectivity profile, density, and weighted graph analysis of the present data differ significantly from those obtained in earlier studies in the mouse. G{\u a}m{\u a}nu{\c t} et al. investigate anatomical cortico-cortical connections in the mouse at the meso-scale level and show that almost all possible connections exist. Efficiency of the network and specificity of the connections are ensured by the existence of weighted connectivity profiles.",
keywords = "anatomy, connectivity, log-normal, neocortex, retrograde, rodent, tract-tracing",
author = "R{\u a}zvan G{\u a}m{\u a}nu{\c t} and Henry Kennedy and Zolt{\'a}n Toroczkai and M{\'a}ria Ercsey-Ravasz and {Van Essen}, {David C.} and Kenneth Knoblauch and Andreas Burkhalter",
note = "Funding Information: We thank Bianca G{\u a}m{\u a}nu{\c t} and Katia Valkova for excellent technical assistance. This work was supported by LABEX CORTEX ( ANR-11-LABX-0042 ) of the Universit{\'e} de Lyon ( ANR-11-IDEX-0007 ) operated by the French National Research Agency (ANR) (to H.K.), ANR-14-CE13-0033-ARCHI-CORE (to H.K.), ANR-15-CE32-0016-CORNET (to H.K.), ANR-17-NEUC-0004-A2P2MC (to H.K. and Z.T.), National Science Foundation (NSF) grant IIS-1724297 (to Z.T. and H.K.), ANR-17-FLAG-ERA-HBP-CORTICITY (to H.K., M.E.-R., and Z.T.), the F{\'e}d{\'e}ration des Aveugles de France (to R.G.), the McDonnell Center for Systems Neuroscience grant 22-3920-26239J (to A.B. and R.G.), NIH grants RO1 EY022090 (to A.B.) and R01MH060974 (to D.C.V.E.), and EU-H2020 grant 668863-SyBil-AA (to M.E.-R.). Funding Information: We thank Bianca G{\u a}m{\u a}nu{\c t} and Katia Valkova for excellent technical assistance. This work was supported by LABEX CORTEX (ANR-11-LABX-0042) of the Universit{\'e} de Lyon (ANR-11-IDEX-0007) operated by the French National Research Agency (ANR) (to H.K.), ANR-14-CE13-0033-ARCHI-CORE (to H.K.), ANR-15-CE32-0016-CORNET (to H.K.), ANR-17-NEUC-0004-A2P2MC (to H.K. and Z.T.), National Science Foundation (NSF) grant IIS-1724297 (to Z.T. and H.K.), ANR-17-FLAG-ERA-HBP-CORTICITY (to H.K., M.E.-R., and Z.T.), the F{\'e}d{\'e}ration des Aveugles de France (to R.G.), the McDonnell Center for Systems Neuroscience grant 22-3920-26239J (to A.B. and R.G.), NIH grants RO1 EY022090 (to A.B.) and R01MH060974 (to D.C.V.E.), and EU-H2020 grant 668863-SyBil-AA (to M.E.-R.). Publisher Copyright: {\textcopyright} 2017 Elsevier Inc.",
year = "2018",
month = feb,
day = "7",
doi = "10.1016/j.neuron.2017.12.037",
language = "English",
volume = "97",
pages = "698--715.e10",
journal = "Neuron",
issn = "0896-6273",
number = "3",
}