| Title: |
Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN) |
| Authors: |
McKay, NS; Gordon, BA; Hornbeck, RC; Dincer, A; Flores, S; Keefe, SJ; Joseph-Mathurin, N; Jack, CR; Koeppe, R; Millar, PR; Ances, BM; Chen, CD; Daniels, A; Hobbs, DA; Jackson, K; Koudelis, D; Massoumzadeh, P; McCullough, A; Nickels, ML; Rahmani, F; Swisher, L; Wang, Q; Allegri, RF; Berman, SB; Brickman, AM; Brooks, WS; Cash, DM; Chhatwal, JP; Day, GS; Farlow, MR; la Fougère, C; Fox, NC; Fulham, M; Ghetti, B; Graff-Radford, N; Ikeuchi, T; Klunk, W; Lee, JH; Levin, J; Martins, R; Masters, CL; McConathy, J; Mori, H; Noble, JM; Reischl, G; Rowe, C; Salloway, S; Sanchez-Valle, R; Schofield, PR; Shimada, H; Shoji, M; Su, Y; Suzuki, K; Vöglein, J; Yakushev, I; Cruchaga, C; Hassenstab, J; Karch, C; McDade, E; Perrin, RJ; Xiong, C; Morris, JC; Bateman, RJ; Benzinger, TLS |
| Publisher Information: |
Springer Science and Business Media LLC |
| Publication Year: |
2023 |
| Collection: |
The University of Melbourne: Digital Repository |
| Description: |
The Dominantly Inherited Alzheimer Network (DIAN) is an international collaboration studying autosomal dominant Alzheimer disease (ADAD). ADAD arises from mutations occurring in three genes. Offspring from ADAD families have a 50% chance of inheriting their familial mutation, so non-carrier siblings can be recruited for comparisons in case-control studies. The age of onset in ADAD is highly predictable within families, allowing researchers to estimate an individual's point in the disease trajectory. These characteristics allow candidate AD biomarker measurements to be reliably mapped during the preclinical phase. Although ADAD represents a small proportion of AD cases, understanding neuroimaging-based changes that occur during the preclinical period may provide insight into early disease stages of 'sporadic' AD also. Additionally, this study provides rich data for research in healthy aging through inclusion of the non-carrier controls. Here we introduce the neuroimaging dataset collected and describe how this resource can be used by a range of researchers. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISSN: |
1097-6256 |
| Relation: |
https://hdl.handle.net/11343/345522 |
| Availability: |
https://hdl.handle.net/11343/345522 |
| Rights: |
https://creativecommons.org/licenses/by/4.0 ; CC BY |
| Accession Number: |
edsbas.BD91435B |
| Database: |
BASE |