TY - JOUR
T1 - Aging alterations in whole-brain networks during adulthood mapped with the minimum spanning tree indices
T2 - The interplay of density, connectivity cost and life-time trajectory
AU - Otte, Wim
AU - van Diessen, Eric
AU - Paul, Subhadip
AU - Ramaswamy, Rajiv
AU - Subramanyam Rallabandi, V. P.
AU - Stam, Cornelis J.
AU - Roy, Prasun K.
PY - 2015/4/1
Y1 - 2015/4/1
N2 - The organizational network changes in the human brain across the lifespan have been mapped using functional and structural connectivity data. Brain network changes provide valuable insights into the processes underlying senescence. Nonetheless, the altered network density in the elderly severely compromises the usefulness of network analysis to study the aging brain. We successfully circumvented this problem by focusing on the critical structural network backbone, using a robust tree representation. Whole-brain networks' minimum spanning trees were determined in a dataset of diffusion-weighted images from 382 healthy subjects, ranging in age from 20.2 to 86.2. years. Tree-based metrics were compared with classical network metrics. In contrast to the tree-based metrics, classical metrics were highly influenced by age-related changes in network density. Tree-based metrics showed linear and non-linear correlation across adulthood and are in close accordance with results from previous histopathological characterizations of the changes in white matter integrity in the aging brain.
AB - The organizational network changes in the human brain across the lifespan have been mapped using functional and structural connectivity data. Brain network changes provide valuable insights into the processes underlying senescence. Nonetheless, the altered network density in the elderly severely compromises the usefulness of network analysis to study the aging brain. We successfully circumvented this problem by focusing on the critical structural network backbone, using a robust tree representation. Whole-brain networks' minimum spanning trees were determined in a dataset of diffusion-weighted images from 382 healthy subjects, ranging in age from 20.2 to 86.2. years. Tree-based metrics were compared with classical network metrics. In contrast to the tree-based metrics, classical metrics were highly influenced by age-related changes in network density. Tree-based metrics showed linear and non-linear correlation across adulthood and are in close accordance with results from previous histopathological characterizations of the changes in white matter integrity in the aging brain.
UR - http://www.scopus.com/inward/record.url?scp=84921516116&partnerID=8YFLogxK
U2 - 10.1016/j.neuroimage.2015.01.011
DO - 10.1016/j.neuroimage.2015.01.011
M3 - Article
C2 - 25585021
AN - SCOPUS:84921516116
SN - 1053-8119
VL - 109
SP - 171
EP - 189
JO - NeuroImage
JF - NeuroImage
ER -