Examining the resting-state vascular connectivity using fMRA in comparison with fMRI: a preliminary study
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Chan-A | - |
dc.contributor.author | Kang, Chang-Ki | - |
dc.contributor.author | Kim, Young-Bo | - |
dc.contributor.author | Cho, Zang-Hee | - |
dc.date.available | 2020-02-28T08:44:00Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2015-08-05 | - |
dc.identifier.issn | 0959-4965 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/10247 | - |
dc.description.abstract | This study examined resting-state functional connectivity in the vascular system of the brain using functional magnetic resonance angiography (fMRA) with an ultra-high-field 7T MRI. Four healthy individuals participated in the functional imaging study using fMRA and functional MRI (fMRI) for determination of vascular and blood oxygenation level-dependent (BOLD) connectivity, respectively. We calculated voxel-wise connectivity maps and measured the correlation coefficients of the region of interest (ROI)-wise connectivity in the resting-state human brain. Z-map in the posterior cingulate cortex showed more correlated voxels in fMRA than fMRI. There was little or weak interhemispheric vascular connectivity using fMRA in the lateral parietal cortex and the lateral temporal cortex. In contrast, both vascular and BOLD interhemispheric correlations in the precentral gyrus were strong. Correlation coefficients for ROI-wise connectivity analysis were statistically different between fMRA and fMRI in the left and right lateral parietal cortex and lateral temporal cortex (P=0.029). Unlike BOLD connectivity, vascular connectivity showed little interhemispheric correlation in the default mode network. These results could provide the vascular connectivity on the basis of arterial response that can only be obtained by fMRA with an ultra-high-field environment along with further studies. Therefore, this method could provide additional and supplementary information for investigating the vascular effect in patients with cerebrovascular disease. Copyright (C) 2015 Wolters Kluwer Health, Inc. All rights reserved. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | LIPPINCOTT WILLIAMS & WILKINS | - |
dc.relation.isPartOf | NEUROREPORT | - |
dc.subject | FUNCTIONAL MR-ANGIOGRAPHY | - |
dc.subject | MAGNETIC-RESONANCE ANGIOGRAPHY | - |
dc.subject | 7 T MRI | - |
dc.subject | DEFAULT MODE | - |
dc.subject | HUMAN BRAIN | - |
dc.subject | STROKE | - |
dc.subject | HUMANS | - |
dc.subject | ARCHITECTURE | - |
dc.subject | PATTERNS | - |
dc.subject | NETWORK | - |
dc.title | Examining the resting-state vascular connectivity using fMRA in comparison with fMRI: a preliminary study | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000357868300004 | - |
dc.identifier.doi | 10.1097/WNR.0000000000000399 | - |
dc.identifier.bibliographicCitation | NEUROREPORT, v.26, no.11, pp.623 - 628 | - |
dc.identifier.scopusid | 2-s2.0-84942577924 | - |
dc.citation.endPage | 628 | - |
dc.citation.startPage | 623 | - |
dc.citation.title | NEUROREPORT | - |
dc.citation.volume | 26 | - |
dc.citation.number | 11 | - |
dc.contributor.affiliatedAuthor | Kang, Chang-Ki | - |
dc.contributor.affiliatedAuthor | Kim, Young-Bo | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | default mode network | - |
dc.subject.keywordAuthor | functional magnetic resonance angiography | - |
dc.subject.keywordAuthor | functional MRI | - |
dc.subject.keywordAuthor | resting-state | - |
dc.subject.keywordAuthor | ultra-high-field 7T MRI | - |
dc.subject.keywordAuthor | vascular connectivity | - |
dc.subject.keywordPlus | FUNCTIONAL MR-ANGIOGRAPHY | - |
dc.subject.keywordPlus | MAGNETIC-RESONANCE ANGIOGRAPHY | - |
dc.subject.keywordPlus | 7 T MRI | - |
dc.subject.keywordPlus | DEFAULT MODE | - |
dc.subject.keywordPlus | HUMAN BRAIN | - |
dc.subject.keywordPlus | STROKE | - |
dc.subject.keywordPlus | HUMANS | - |
dc.subject.keywordPlus | ARCHITECTURE | - |
dc.subject.keywordPlus | PATTERNS | - |
dc.subject.keywordPlus | NETWORK | - |
dc.relation.journalResearchArea | Neurosciences & Neurology | - |
dc.relation.journalWebOfScienceCategory | Neurosciences | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.