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Lyu, Ilwoo
3D Shape Analysis Lab.
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dc.citation.title NEUROINFORMATICS -
dc.contributor.author Hansen, Colin B. -
dc.contributor.author Yang, Qi -
dc.contributor.author Lyu, Ilwoo -
dc.contributor.author Rheault, Francois -
dc.contributor.author Kerley, Cailey -
dc.contributor.author Chandio, Bramsh Qamar -
dc.contributor.author Fadnavis, Shreyas -
dc.contributor.author Williams, Owen -
dc.contributor.author Shafer, Andrea T. -
dc.contributor.author Resnick, Susan M. -
dc.contributor.author Zald, David H. -
dc.contributor.author Cutting, Laurie E. -
dc.contributor.author Taylor, Warren D. -
dc.contributor.author Boyd, Brian -
dc.contributor.author Garyfallidis, Eleftherios -
dc.contributor.author Anderson, Adam W. -
dc.contributor.author Descoteaux, Maxime -
dc.contributor.author Landman, Bennett A. -
dc.contributor.author Schilling, Kurt G. -
dc.date.accessioned 2023-12-21T16:41:20Z -
dc.date.available 2023-12-21T16:41:20Z -
dc.date.created 2021-03-05 -
dc.date.issued 2020-11 -
dc.description.abstract Brain atlases have proven to be valuable neuroscience tools for localizing regions of interest and performing statistical inferences on populations. Although many human brain atlases exist, most do not contain information about white matter structures, often neglecting them completely or labelling all white matter as a single homogenous substrate. While few white matter atlases do exist based on diffusion MRI fiber tractography, they are often limited to descriptions of white matter as spatially separate "regions" rather than as white matter "bundles" or fascicles, which are well-known to overlap throughout the brain. Additional limitations include small sample sizes, few white matter pathways, and the use of outdated diffusion models and techniques. Here, we present a new population-based collection of white matter atlases represented in both volumetric and surface coordinates in a standard space. These atlases are based on 2443 subjects, and include 216 white matter bundles derived from 6 different automated state-of-the-art tractography techniques. This atlas is freely available and will be a useful resource for parcellation and segmentation. -
dc.identifier.bibliographicCitation NEUROINFORMATICS -
dc.identifier.doi 10.1007/s12021-020-09497-1 -
dc.identifier.issn 1539-2791 -
dc.identifier.scopusid 2-s2.0-85096043446 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/50097 -
dc.identifier.wosid 000589999500001 -
dc.language 영어 -
dc.publisher HUMANA PRESS INC -
dc.title Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Computer Science, Interdisciplinary Applications; Neurosciences -
dc.relation.journalResearchArea Computer Science; Neurosciences & Neurology -
dc.type.docType Article; Early Access -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor White matter -
dc.subject.keywordAuthor Atlas -
dc.subject.keywordAuthor Tractography -
dc.subject.keywordPlus SURFACE-BASED ANALYSIS -
dc.subject.keywordPlus HUMAN CEREBRAL-CORTEX -
dc.subject.keywordPlus HUMAN BRAIN -
dc.subject.keywordPlus PROBABILISTIC ATLAS -
dc.subject.keywordPlus FRONTAL-CORTEX -
dc.subject.keywordPlus AREAS -
dc.subject.keywordPlus SEGMENTATION -
dc.subject.keywordPlus PARCELLATION -
dc.subject.keywordPlus CONNECTIVITY -
dc.subject.keywordPlus RESOLUTION -

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