Please use this identifier to cite or link to this item:
http://doi.org/10.25358/openscience-6121
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Bischoff, Laura Annika | - |
dc.date.accessioned | 2021-08-03T12:43:36Z | - |
dc.date.available | 2021-08-03T12:43:36Z | - |
dc.date.issued | 2021 | - |
dc.identifier.uri | https://openscience.ub.uni-mainz.de/handle/20.500.12030/6130 | - |
dc.language.iso | ger | de |
dc.rights | InCopyright | * |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | * |
dc.subject.ddc | 610 Medizin | de_DE |
dc.subject.ddc | 610 Medical sciences | en_GB |
dc.title | MRT-basierte Netzwerkanalyse der zerebralen weißen Substanz kognitiv gesunder Älterer: sind Netzwerkmaße prädiktive Surrogatmarker für den Trainingserfolg? | de_DE |
dc.type | Dissertation | de |
dc.identifier.urn | urn:nbn:de:hebis:77-openscience-084dbcf7-a279-47e5-8014-e5026fd5826d1 | - |
dc.identifier.doi | http://doi.org/10.25358/openscience-6121 | - |
jgu.type.dinitype | doctoralThesis | en_GB |
jgu.type.version | Original work | de |
jgu.type.resource | Text | de |
jgu.date.accepted | 2021-06-08 | - |
jgu.description.extent | 83 Seiten, Illustrationen, Diagramme | de |
jgu.organisation.department | FB 04 Medizin | de |
jgu.organisation.year | 2020 | - |
jgu.organisation.number | 2700 | - |
jgu.organisation.name | Johannes Gutenberg-Universität Mainz | - |
jgu.rights.accessrights | openAccess | - |
jgu.organisation.place | Mainz | - |
jgu.subject.ddccode | 610 | de |
jgu.organisation.ror | https://ror.org/023b0x485 | |
Appears in collections: | JGU-Publikationen |
Files in This Item:
File | Description | Size | Format | ||
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bischoff_laura_annika-mrt-basierte_n-20210625165836572.pdf | 5.28 MB | Adobe PDF | View/Open |