Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이종민 | - |
dc.date.accessioned | 2018-05-25T06:44:04Z | - |
dc.date.available | 2018-05-25T06:44:04Z | - |
dc.date.issued | 2016-05 | - |
dc.identifier.citation | SCIENTIFIC REPORTS, v. 6, Page. 1-9 | en_US |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | https://www.nature.com/articles/srep26682 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/71523 | - |
dc.description.abstract | Morphometric correlation networks of cortical thickness, surface area, and gray matter volume have statistically different structural topology. However, there is no report directly describing their correlation patterns in view of interregional covariance. Here, we examined the characteristics of the correlation patterns in three morphometric networks of cortical thickness, surface area, and gray matter volume using a Venn diagram concept across 314 normal subjects. We found that over 60% of all nonoverlapping correlation patterns emerged with divergent unique patterns, while there were 10% of all common edges in ipsilateral and homotopic regions among the three morphometric correlation networks. It was also found that the network parameters of the three networks were different. Our findings showed that correlation patterns of the network itself can provide complementary information when compared with network properties. We demonstrate that morphometric correlation networks of distinct structural phenotypes have different correlation patterns and different network properties. This finding implies that the topology of each morphometric correlation network may reflect different aspects of each morphometric descriptor. | en_US |
dc.description.sponsorship | This research was supported by the Brain Research Program through the National Research Foundation of Korea funded by the Ministry of Science, ICT & Future Planning (NRF-2014M3C7A1046050). | en_US |
dc.language.iso | en | en_US |
dc.publisher | NATURE PUBLISHING GROUP | en_US |
dc.subject | HUMAN BRAIN | en_US |
dc.subject | ALZHEIMERS-DISEASE | en_US |
dc.subject | CEREBRAL-CORTEX | en_US |
dc.subject | MRI | en_US |
dc.subject | ORGANIZATION | en_US |
dc.subject | VALIDATION | en_US |
dc.subject | MORPHOLOGY | en_US |
dc.subject | TWIN | en_US |
dc.title | Complementary Characteristics of Correlation Patterns in Morphometric Correlation Networks of Cortical Thickness, Surface Area, and Gray Matter Volume | en_US |
dc.type | Article | en_US |
dc.relation.volume | 6 | - |
dc.identifier.doi | 10.1038/srep26682 | - |
dc.relation.page | 1-9 | - |
dc.relation.journal | SCIENTIFIC REPORTS | - |
dc.contributor.googleauthor | Yang, Jin-Ju | - |
dc.contributor.googleauthor | Kwon, Hunki | - |
dc.contributor.googleauthor | Lee, Jong-Min | - |
dc.relation.code | 2016012537 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DIVISION OF ELECTRICAL AND BIOMEDICAL ENGINEERING | - |
dc.identifier.pid | ljm | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.