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Generative models of the human connectome
Betzel, Richard F.1; Avena-Koenigsberger, Andrea1; Goni, Joaquin1,2; He, Ye3,4; de Reus, Marcel A.5; Griffa, Alessandra6,7,8; Vertes, Petra E.9; Misic, Bratislav1; Thiran, Jean-Philippe6,7,8; Hagmann, Patric6,7,8; van den Heuvel, Martijn5; Zuo, Xi-Nian3,4; Bullmore, Edward T.9; Sporns, Olaf1,2
2016
Source PublicationNEUROIMAGE
ISSN1053-8119
SubtypeArticle
Volume124Issue:0Pages:1054-1064
AbstractThe human connectome represents a network map of the brain's wiring diagram and the pattern into which its connections are organized is thought to play an important role in cognitive function. The generative rules that shape the topology of the human connectome remain incompletely understood. Earlier work in model organisms has suggested that wiring rules based on geometric relationships (distance) can account for many but likely not all topological features. Here we systematically explore a family of generative models of the human connectome that yield synthetic networks designed according to different wiring rules combining geometric and a broad range of topological factors. We find that a combination of geometric constraints with a homophilic attachment mechanism can create synthetic networks that closely match many topological characteristics of individual human connectomes, including features that were not included in the optimization of the generative model itself. We use these models to investigate a lifespan dataset and show that, with age, the model parameters undergo progressive changes, suggesting a rebalancing of the generative factors underlying the connectome across the lifespan. (C) 2015 The Authors. Published by Elsevier Inc.
KeywordGraph theory Generative models Connectome
DOI10.1016/j.neuroimage.2015.09.041
Indexed BySCI
Language英语
WOS Research AreaNeurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectNeurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000366646700099
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordHUMAN BRAIN ; FUNCTIONAL CONNECTIVITY ; LIFE-SPAN ; CORTICAL NETWORKS ; CEREBRAL-CORTEX ; RESTING-STATE ; TIME WINDOWS ; ORGANIZATION ; GROWTH ; COMMUNICATION
Citation statistics
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/15425
Collection社会与工程心理学研究室
Affiliation1.Indiana Univ, Psychol & Brain Sci, Bloomington, IN 47405 USA
2.Indiana Univ, Network Sci Inst, Bloomington, IN 47405 USA
3.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Inst Psychol, Magnet Resonance Imaging Res Ctr, Beijing 100101, Peoples R China
5.Univ Med Ctr Utrecht, Brain Ctr Rudolf Magnus, Dept Psychiat, Utrecht, Netherlands
6.Univ Hosp Ctr, Dept Radiol, Lausanne, Switzerland
7.Univ Lausanne, Lausanne, Switzerland
8.Ecole Polytech Fed Lausanne, Signal Proc Lab 5 LTS5, Lausanne, Switzerland
9.Univ Cambridge, Dept Psychiat, Behav & Clin Neurosci Inst, Cambridge, England
Recommended Citation
GB/T 7714
Betzel, Richard F.,Avena-Koenigsberger, Andrea,Goni, Joaquin,et al. Generative models of the human connectome[J]. NEUROIMAGE,2016,124(0):1054-1064.
APA Betzel, Richard F..,Avena-Koenigsberger, Andrea.,Goni, Joaquin.,He, Ye.,de Reus, Marcel A..,...&Sporns, Olaf.(2016).Generative models of the human connectome.NEUROIMAGE,124(0),1054-1064.
MLA Betzel, Richard F.,et al."Generative models of the human connectome".NEUROIMAGE 124.0(2016):1054-1064.
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