| 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
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| 摘要 | The 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. |
| 关键词 | Graph theory Generative models Connectome |
| 2016 | |
| 语种 | 英语 |
| DOI | 10.1016/j.neuroimage.2015.09.041 |
| 发表期刊 | NEUROIMAGE
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| ISSN | 1053-8119 |
| 卷号 | 124期号:0页码:1054-1064 |
| 期刊论文类型 | Article |
| 收录类别 | SCI |
| WOS关键词 | HUMAN BRAIN ; FUNCTIONAL CONNECTIVITY ; LIFE-SPAN ; CORTICAL NETWORKS ; CEREBRAL-CORTEX ; RESTING-STATE ; TIME WINDOWS ; ORGANIZATION ; GROWTH ; COMMUNICATION |
| WOS标题词 | Science & Technology ; Life Sciences & Biomedicine |
| WOS研究方向 | Neurosciences & Neurology ; Radiology, Nuclear Medicine & Medical Imaging |
| WOS类目 | Neurosciences ; Neuroimaging ; Radiology, Nuclear Medicine & Medical Imaging |
| WOS记录号 | WOS:000366646700099 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.psych.ac.cn/handle/311026/15425 |
| 专题 | 社会与工程心理学研究室 |
| 作者单位 | 1.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 |
| 推荐引用方式 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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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Generative models of（1160KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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