Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Age-related effects on cortical thickness patterns of the Rhesus monkey brain

Full metadata record
DC Field Value Language
dc.contributor.authorKoo, Bang-Bon-
dc.contributor.authorSchettler, Steven P.-
dc.contributor.authorMurray, Donna E.-
dc.contributor.authorLee, Jong-Min-
dc.contributor.authorKilliany, Ronald J.-
dc.contributor.authorRosene, Douglas L.-
dc.contributor.authorKim, Dae-Shik-
dc.contributor.authorRonen, Itamar-
dc.date.accessioned2022-07-16T17:01:55Z-
dc.date.available2022-07-16T17:01:55Z-
dc.date.issued2012-01-
dc.identifier.issn0197-4580-
dc.identifier.issn1558-1497-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166489-
dc.description.abstractThe Rhesus monkey is a useful model for examining age-related as well as other neurological and developmental effects on the brain, because of the extensive neuroanatomical homology to the human brain, the reduced occurrence of neurological diseases such as Alzheimer's disease, and the possibility of obtaining relevant behavioral data and post-mortem tissue for histological analyses. In this study, cortical thickness measurements based on a cortical surface modeling technique were applied for the first time to investigate cortical thickness patterns in the rhesus monkey brain, and were used to evaluate regional age related effects across a wide range of ages. Age related effects were observed in several cortical areas, in particular in the somato-sensory and motor cortices, where a robust negative correlation of cortical thickness with age was observed, similar to that found in humans. In contrast, results for monkeys compared with humans show significant interspecies differences in cortical thickness patterns in the frontal and the inferior temporal regions.-
dc.format.extent9-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleAge-related effects on cortical thickness patterns of the Rhesus monkey brain-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1016/j.neurobiolaging.2010.07.010-
dc.identifier.scopusid2-s2.0-81355139596-
dc.identifier.wosid000297934700035-
dc.identifier.bibliographicCitationNeurobiology of Aging, v.33, no.1, pp 1 - 9-
dc.citation.titleNeurobiology of Aging-
dc.citation.volume33-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage9-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaGeriatrics & Gerontology-
dc.relation.journalResearchAreaNeurosciences & Neurology-
dc.relation.journalWebOfScienceCategoryGeriatrics & Gerontology-
dc.relation.journalWebOfScienceCategoryNeurosciences-
dc.subject.keywordPlusCEREBRAL-CORTEX-
dc.subject.keywordPlusWHITE-MATTER-
dc.subject.keywordPlusGRAY-MATTER-
dc.subject.keywordPlusRECOGNITION MEMORY-
dc.subject.keywordPlusVISUAL-CORTEX-
dc.subject.keywordPlusLIFE-SPAN-
dc.subject.keywordPlusLAYER 1-
dc.subject.keywordPlusMRI-
dc.subject.keywordPlusVOLUME-
dc.subject.keywordPlusIMAGES-
dc.subject.keywordAuthorAging brain-
dc.subject.keywordAuthorRhesus monkey-
dc.subject.keywordAuthorGray matter-
dc.subject.keywordAuthorCerebral cortex-
dc.subject.keywordAuthorCortical surface modeling-
dc.subject.keywordAuthorCortical thickness-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0197458010003180?via%3Dihub-
Files in This Item
Go to Link
Appears in
Collections
서울 공과대학 > ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Jong Min photo

Lee, Jong Min
COLLEGE OF ENGINEERING (서울 바이오메디컬공학전공)
Read more

Altmetrics

Total Views & Downloads

BROWSE