Title
Construction of multi-scale brain networks via DICCCOL landmarks
Abstract
Mapping human brain networks has gained significant interest in the last few years, as it offers novel perspectives on the brain structure and function. However, most previous approaches were dedicated to a single resolution or scale of brain network, though the brain networks are multi-scale in nature. This paper presents a novel approach to constructing multi-scale structural brain networks from DTI images via multi-scale spectral clustering of our recently developed and validated DICCCOLs (Dense Individualized and Common Connectivity-based Cortical Landmarks). Since the DICCCOL landmarks possess structural and functional correspondences across subjects, the constructed multi-scale networks also have intrinsically-established correspondences across different brains, which is a prominent feature of this network construction method. Experimental results demonstrated that the proposed method can generated consistent and common structural brain networks, which will lay down the foundation for many other network-based neuroimaging analyses in the future.
Year
DOI
Venue
2013
10.1109/ISBI.2013.6556566
ISBI
Keywords
Field
DocType
dti images,multi-scale brain networks,multiscale structural brain network construction,intrinsically-established correspondences,neurophysiology,brain function,biodiffusion,dicccol landmarks,dicccol,network-based neuroimaging analysis,mapping human brain networks,functional correspondence across subjects,biomedical mri,dti,brain,dense individualized and common connectivity-based cortical landmarks,multiscale spectral clustering,structural correspondence across subjects,brain structure,medical image processing,clustering algorithms,diffusion tensor imaging,algorithm design and analysis
Brain mapping,Spectral clustering,Pattern recognition,Neurophysiology,Computer science,Brain Structure and Function,Brain morphometry,Human brain,Network construction,Artificial intelligence,Neuroimaging
Conference
Volume
Issue
ISSN
null
null
1945-7928
ISBN
Citations 
PageRank 
978-1-4673-6456-0
1
0.36
References 
Authors
4
7
Name
Order
Citations
PageRank
Bao Ge1296.07
Lei Guo21661142.63
Tuo Zhang323332.92
Dajiang Zhu432036.72
Xintao Hu510.36
Junwei Han63501194.57
Tianming Liu71033112.95