Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이종민 | - |
dc.date.accessioned | 2019-11-25T01:44:50Z | - |
dc.date.available | 2019-11-25T01:44:50Z | - |
dc.date.issued | 2017-05 | - |
dc.identifier.citation | SCIENTIFIC REPORTS, v. 7, Article no. 2449 | en_US |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://www.nature.com/articles/s41598-017-02342-7 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/113960 | - |
dc.description.abstract | The 'human connectome' concept has been proposed to significantly increase our understanding of how functional brain states emerge from their underlying structural substrates. Especially, the network hub has been considered one of the most important topological properties to interpret a network as a complex system. However, previous structural brain connectome studies have reported network hub regions based on various nodal resolutions. We hypothesized that brain network hubs should be determined considering various nodal scales in a certain range. We tested our hypothesis using the hub strength determined by the mean of the "hubness" values over a range of nodal scales. Some regions of the precuneus, superior occipital gyrus, and superior parietal gyrus in a bilaterally symmetric fashion had a relatively higher level of hub strength than other regions. These regions had a tendency of increasing contributions to local efficiency than other regions. We proposed a methodological framework to detect network hubs considering various nodal scales in a certain range. This framework might provide a benefit in the detection of important brain regions in the network. | en_US |
dc.description.sponsorship | This research was supported by the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT, & Future Planning (NRF-2014M3C7A1046050); and by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (2016R1A2B3016609). | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | NATURE PUBLISHING GROUP | en_US |
dc.subject | HUMAN CEREBRAL-CORTEX | en_US |
dc.subject | ABNORMAL TOPOLOGICAL ORGANIZATION | en_US |
dc.subject | GENDER-RELATED DIFFERENCES | en_US |
dc.subject | BRAIN ANATOMICAL NETWORKS | en_US |
dc.subject | CORTICAL NETWORKS | en_US |
dc.subject | MRI DATA | en_US |
dc.subject | MULTIPLE-SCLEROSIS | en_US |
dc.subject | ALZHEIMERS-DISEASE | en_US |
dc.subject | HUMAN CONNECTOME | en_US |
dc.subject | CONNECTIVITY | en_US |
dc.title | Scale-integrated Network Hubs of the White Matter Structural Network | en_US |
dc.type | Article | en_US |
dc.relation.no | Article number: 2449 | - |
dc.relation.volume | 7 | - |
dc.identifier.doi | 10.1038/s41598-017-02342-7 | - |
dc.relation.page | 1-10 | - |
dc.relation.journal | SCIENTIFIC REPORTS | - |
dc.contributor.googleauthor | Kwon, Hunki | - |
dc.contributor.googleauthor | Choi, Yong-Ho | - |
dc.contributor.googleauthor | Seo, Sang Won | - |
dc.contributor.googleauthor | Lee, Jong-Min | - |
dc.relation.code | 2017003408 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | ljm | - |
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