macaque_visual_cortex — Macaque visual cortex connectivity (Felleman-Van Essen, 1991)

Description

Directed networks of anatomical connections among the visual areas of the macaque monkey cerebral cortex, from the compilation of Felleman and Van Essen, as distributed with the Brain Connectivity Toolbox (contributed by O. Sporns). Felleman and Van Essen collated the results of anatomical tract-tracing studies published until 1991 into a matrix of corticocortical pathways between the areas of their parcellation of the macaque cortex. Nodes are cortical areas (e.g. "V1", "MT", "LIP", "FEF" or "46") and a directed edge $i\to j$ indicates a reported axonal projection from area $i$ to area $j$ (an entry $a_{ij}=1$ of the source matrix, following the Brain Connectivity Toolbox convention).

fve30: 30 visual areas, including the frontal areas FEF and 46 associated with visual function; 311 connections.
fve32: as fve30, with the two additional parietal areas MIP and MDP; 315 connections (the toolbox documentation states 320).

These matrices were used e.g. by Sporns et al. (Cereb. Cortex 10, 127, 2000) and Sporns and Kötter (PLoS Biol. 2, e369, 2004).

The networks have the following properties:

name: the name of the cortical area.

Tags

Biological Connectome Unweighted

Citation

D. J. Felleman, D. C. Van Essen, "Distributed hierarchical processing in the primate cerebral cortex." Cerebral Cortex 1(1), 1-47 (1991) 10.1093/cercor/1.1.1 Sci-Hub
M. Rubinov, O. Sporns, "Complex network measures of brain connectivity: Uses and interpretations." NeuroImage 52(3), 1059-1069 (2010) 10.1016/j.neuroimage.2009.10.003 Sci-Hub

Upstream URL OK

https://sites.google.com/site/bctnet/datasets

Networks

Tip: click on a column header to sort the list, or hover over it for a description.

Column legend

$\left<k\right>$: Mean degree
$\sigma_k$: Standard deviation of the degrees
$\lambda_h$: Largest eigenvalue of the Hashimoto (non-backtracking) matrix
$\tau$: Random walk mixing time
$r$: Degree assortativity
$c$: Global clustering coefficient
$\oslash$: (Pseudo-) diameter
$S$: Relative size of the largest component
NPs: Node properties
EPs: Edge properties

Name	Nodes	Edges	$\left<k\right>$	$\sigma_k$	$\lambda_h$	$\tau$	$r$	$c$	$\oslash$	$S$	Kind	Mode	NPs	EPs	gt	GraphML	GML	csv
fve30	30	311	10.37	7.62	12.93	2.30	-0.05	0.58	3	1.00	Directed	Unipartite	name		1 KiB	2 KiB	1 KiB	2 KiB
fve32	32	315	9.84	8.75	12.95	2.28	-0.06	0.58	3	1.00	Directed	Unipartite	name		1 KiB	2 KiB	1 KiB	2 KiB