Title
CHANGES IN ANATOMICAL BRAIN CONNECTIVITY BETWEEN AGES 12 AND 30: A HARDI STUDY OF 467 ADOLESCENTS AND ADULTS.
Abstract
Graph theory can be applied to matrices that represent the brain's anatomical connections, to better understand global properties of anatomical networks, such as their clustering, efficiency and "small-world" topology. Network analysis is popular in adult studies of connectivity, but only one study - in just 30 subjects - has examined how network measures change as the brain develops over this period. Here we assessed the developmental trajectory of graph theory metrics of structural brain connectivity in a cross-sectional study of 467 subjects, aged 12 to 30. We computed network measures from 70×70 connectivity matrices of fiber density generated using whole-brain tractography in 4-Tesla 105-gradient high angular resolution diffusion images (HARDI). We assessed global efficiency and modularity, and both age and age(2) effects were identified. HARDI-based connectivity maps are sensitive to the remodeling and refinement of structural brain connections as the human brain develops.
Year
DOI
Venue
2012
10.1109/ISBI.2012.6235695
Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging
Keywords
Field
DocType
structural connectivity,paediatrics,hardi study,connectivity map,developmental trajectory,tractography,magnetic flux density 4 t,high angular resolution diffusion images,network clustering,adolescents,anatomical networks,biomedical mri,network analyses,anatomical brain connectivity,adults,brain,small-world topology,graph theory,development,network analysis,fiber density,graph theory metrics,neural nets,structural brain connectivity,high angular resolution diffusion imaging (hardi),whole-brain tractography
Graph theory,Neuroscience,Pattern recognition,Human brain,Artificial intelligence,Network analysis,Cluster analysis,Tractography,Modularity,Mathematics
Conference
ISSN
ISBN
Citations 
1945-7928
978-1-4577-1857-1
3
PageRank 
References 
Authors
0.41
2
10