Data · dataset · 2019
Monitoring Diffuse Injury in the EAE model for MS using CEST MRI
Listed in Teesside University Research Data Repository
Comparison of MRI methods to predict and monitor disease progression in a multiple sclerosis mouse model.
Description
T1w/FLASH, T2w, T2*w, and metabolite-sensitive chemical exchange saturation transfer (CEST) MRI values (.xls) were acquired in the chronic experimental autoimmune encephalomyelitis (EAE) model (C57Bl/6, female, 6-10 weeks old, active induction against myelin antigen MOG35-55) at multiple regions of the brain and spinal cord (.ppt) over the course of the disease as paralysis progressed.
CEST methods include the continuous wave (CW, at the 0-4 ppm frequencies), amide proton transfer (APT, at 3.6 ppm), and on resonance variable delay multiple pulse (onVDMP, at 0 ppm).
Links
Where it is published
- DOI doi.org/10.17632/sr567vff6p.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Central nervous system · Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Disease 75% · Magnetic resonance imaging 65%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/sr567vff6p.1 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].anzsrc:field:320903 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Central Nervous System'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:mri | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |