Topological fractionation of resting-state networks.
Exploring topological properties of human brain network has become an exciting topic in neuroscience research. Large-scale structural and functional brain networks both exhibit a small-world topology, which is evidence for global and local parallel information processing. Meanwhile, resting state ne...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2011-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3197522?pdf=render |
| _version_ | 1818334146389344256 |
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| author | Ju-Rong Ding Wei Liao Zhiqiang Zhang Dante Mantini Qiang Xu Guo-Rong Wu Guangming Lu Huafu Chen |
| author_facet | Ju-Rong Ding Wei Liao Zhiqiang Zhang Dante Mantini Qiang Xu Guo-Rong Wu Guangming Lu Huafu Chen |
| author_sort | Ju-Rong Ding |
| collection | DOAJ |
| description | Exploring topological properties of human brain network has become an exciting topic in neuroscience research. Large-scale structural and functional brain networks both exhibit a small-world topology, which is evidence for global and local parallel information processing. Meanwhile, resting state networks (RSNs) underlying specific biological functions have provided insights into how intrinsic functional architecture influences cognitive and perceptual information processing. However, topological properties of single RSNs remain poorly understood. Here, we have two hypotheses: i) each RSN also has optimized small-world architecture; ii) topological properties of RSNs related to perceptual and higher cognitive processes are different. To test these hypotheses, we investigated the topological properties of the default-mode, dorsal attention, central-executive, somato-motor, visual and auditory networks derived from resting-state functional magnetic resonance imaging (fMRI). We found small-world topology in each RSN. Furthermore, small-world properties of cognitive networks were higher than those of perceptual networks. Our findings are the first to demonstrate a topological fractionation between perceptual and higher cognitive networks. Our approach may be useful for clinical research, especially for diseases that show selective abnormal connectivity in specific brain networks. |
| first_indexed | 2024-12-13T14:02:54Z |
| format | Article |
| id | doaj.art-a5f1cdd11813464497a92ad49d7920d9 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T14:02:54Z |
| publishDate | 2011-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-a5f1cdd11813464497a92ad49d7920d92022-12-21T23:42:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-01610e2659610.1371/journal.pone.0026596Topological fractionation of resting-state networks.Ju-Rong DingWei LiaoZhiqiang ZhangDante MantiniQiang XuGuo-Rong WuGuangming LuHuafu ChenExploring topological properties of human brain network has become an exciting topic in neuroscience research. Large-scale structural and functional brain networks both exhibit a small-world topology, which is evidence for global and local parallel information processing. Meanwhile, resting state networks (RSNs) underlying specific biological functions have provided insights into how intrinsic functional architecture influences cognitive and perceptual information processing. However, topological properties of single RSNs remain poorly understood. Here, we have two hypotheses: i) each RSN also has optimized small-world architecture; ii) topological properties of RSNs related to perceptual and higher cognitive processes are different. To test these hypotheses, we investigated the topological properties of the default-mode, dorsal attention, central-executive, somato-motor, visual and auditory networks derived from resting-state functional magnetic resonance imaging (fMRI). We found small-world topology in each RSN. Furthermore, small-world properties of cognitive networks were higher than those of perceptual networks. Our findings are the first to demonstrate a topological fractionation between perceptual and higher cognitive networks. Our approach may be useful for clinical research, especially for diseases that show selective abnormal connectivity in specific brain networks.http://europepmc.org/articles/PMC3197522?pdf=render |
| spellingShingle | Ju-Rong Ding Wei Liao Zhiqiang Zhang Dante Mantini Qiang Xu Guo-Rong Wu Guangming Lu Huafu Chen Topological fractionation of resting-state networks. PLoS ONE |
| title | Topological fractionation of resting-state networks. |
| title_full | Topological fractionation of resting-state networks. |
| title_fullStr | Topological fractionation of resting-state networks. |
| title_full_unstemmed | Topological fractionation of resting-state networks. |
| title_short | Topological fractionation of resting-state networks. |
| title_sort | topological fractionation of resting state networks |
| url | http://europepmc.org/articles/PMC3197522?pdf=render |
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