Paper Info
Title
Circular representation of human cortical networks for subject and population-level connectomic visualization.
Abstract
Cortical network architecture has predominantly been investigated visually using graph theory representations. In the context of human connectomics, such representations are not however always satisfactory because canonical methods for vertex–edge relationship representation do not always offer optimal insight regarding functional and structural neural connectivity. This article introduces an innovative framework for the depiction of human connectomics by employing a circular visualization method which is highly suitable to the exploration of central nervous system architecture. This type of representation, which we name a ‘connectogram’, has the capability of classifying neuroconnectivity relationships intuitively and elegantly. A multimodal protocol for MRI/DTI neuroimaging data acquisition is here combined with automatic image segmentation to (1) extract cortical and non-cortical anatomical structures, (2) calculate associated volumetrics and morphometrics, and (3) determine patient-specific connectivity profiles to generate subject-level and population-level connectograms. The scalability of our approach is demonstrated for a population of 50 adults. Two essential advantages of the connectogram are (1) the enormous potential for mapping and analyzing the human connectome, and (2) the unconstrained ability to expand and extend this analysis framework to the investigation of clinical populations and animal models.
Year
DOI
Venue
2012
10.1016/j.neuroimage.2012.01.107
NeuroImage
Keywords
Field
DocType
DTI,fMRI,FA,Fro,GM,HCP,Ins,IDA,Lim,LONI,MPosCgG/S,MRI,NA-MIC,NIH,Occ,Par,SbCaG,SupFG,TBI,Tem,WM,3D
Population,Connectomics,Pattern recognition,Connectogram,Visualization,Network architecture,Cognitive psychology,Psychology,Image segmentation,Human Connectome,Artificial intelligence,Scalability
Journal
Volume
Issue
ISSN
60
2
1053-8119
Citations 
PageRank 
References 
25
0.96
11
Authors
4
Name
Order
Citations
PageRank
Andrei Irimia15710.84
Micah C Chambers2373.04
Carinna M. Torgerson3282.35
John D Van Horn431628.50