R01AG058676

NIH – National Institute On Aging

Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN)

McKay, N. S., Gordon, B. A., Hornbeck, R. C., Dincer, A., Flores, S., Keefe, S. J., Joseph-Mathurin, N., Jack, C. R., Koeppe, R., Millar, P. R., Ances, B. M., Chen, C. D., Daniels, A., Hobbs, D. A., Jackson, K., Koudelis, D., Massoumzadeh, P., McCullough, A., Nickels, M. L., … la Fougère, C. (2023). Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN). Nature Neuroscience, 26(8), 1449–1460. https://doi.org/10.1038/s41593-023-01359-8
Authors:
Nicole S McKay
Brian A Gordon
Russ C Hornbeck
Aylin Dincer
Shaney Flores
Sarah J Keefe
Nelly Joseph-Mathurin
Clifford R Jack
Robert Koeppe
Peter R Millar
Beau M Ances
Charles D Chen
Alisha Daniels
Diana A Hobbs
Kelley Jackson
Deborah Koudelis
Parinaz Massoumzadeh
Austin McCullough
Michael L Nickels
Farzaneh Rahmani
Laura Swisher
Qing Wang
Ricardo F Allegri
Sarah B Berman
Adam M Brickman
William S Brooks
David M Cash
Jasmeer P Chhatwal
Gregory S Day
Martin R Farlow
Christian la Fougère
Nick C Fox
Michael Fulham
Bernardino Ghetti
Neill Graff-Radford
Takeshi Ikeuchi
William Klunk
Jae-Hong Lee
Johannes Levin
Ralph Martins
Colin L Masters
Jonathan McConathy
Hiroshi Mori
James M Noble
Gerald Reischl
Christopher Rowe
Stephen Salloway
Raquel Sanchez-Valle
Peter R Schofield
Hiroyuki Shimada
Mikio Shoji
Yi Su
Kazushi Suzuki
Jonathan Vöglein
Igor Yakushev
Carlos Cruchaga
Jason Hassenstab
Celeste Karch
Eric McDade
Richard J Perrin
Chengjie Xiong
John C Morris
Randall J Bateman
Tammie L S Benzinger
Affiliated Authors:
Adam M Brickman
James M Noble
Grants:
UL1TR002345 (NIH – National Center for Advancing Translational Sciences)
UF1AG032438 (NIH – National Institute On Aging)
RF1AG079569 (NIH – National Institute On Aging)
R01AG053267 (NIH – National Institute On Aging)
R01AG058676 (NIH – National Institute On Aging)
U19AG024904 (NIH – National Institute On Aging)
R56AG053267 (NIH – National Institute On Aging)
U01AG059798 (NIH – National Institute On Aging)
K23AG064029 (NIH – National Institute On Aging)
R01AG068319 (NIH – National Institute On Aging)
R01AG057840 (NIH – National Institute On Aging)
R01AG052550 (NIH – National Institute On Aging)
P01AG026276 (NIH – National Institute On Aging)
K01AG080123 (NIH – National Institute On Aging)
U19AG032438 (NIH – National Institute On Aging)
P01AG025204 (NIH – National Institute On Aging)
R01AG054567 (NIH – National Institute On Aging)
RF1AG073424 (NIH – National Institute On Aging)
R03AG072375 (NIH – National Institute On Aging)
Publication Type:
Article
Unique ID:
10.1038/s41593-023-01359-8
PMID:
Publication Date:
Data Source:
PubMed

Record Created:

Biomarker clustering in autosomal dominant Alzheimer's disease

Luckett, P. H., Chen, C., Gordon, B. A., Wisch, J., Berman, S. B., Chhatwal, J. P., Cruchaga, C., Fagan, A. M., Farlow, M. R., Fox, N. C., Jucker, M., Levin, J., Masters, C. L., Mori, H., Noble, J. M., Salloway, S., Schofield, P. R., Brickman, A. M., … Brooks, W. S. (2022). Biomarker clustering in autosomal dominant Alzheimer’s disease. Alzheimer’s & Dementia, 19(1), 274–284. Portico. https://doi.org/10.1002/alz.12661
Authors:
Patrick H Luckett
Charlie Chen
Brian A Gordon
Julie Wisch
Sarah B Berman
Jasmeer P Chhatwal
Carlos Cruchaga
Anne M Fagan
Martin R Farlow
Nick C Fox
Mathias Jucker
Johannes Levin
Colin L Masters
Hiroshi Mori
James M Noble
Stephen Salloway
Peter R Schofield
Adam M Brickman
William S Brooks
David M Cash
Michael J Fulham
Bernardino Ghetti
Clifford R Jack
Jonathan Vöglein
William E Klunk
Robert Koeppe
Yi Su
Michael Weiner
Qing Wang
Daniel Marcus
Deborah Koudelis
Nelly Joseph-Mathurin
Lisa Cash
Russ Hornbeck
Chengjie Xiong
Richard J Perrin
Celeste M Karch
Jason Hassenstab
Eric McDade
John C Morris
Tammie L S Benzinger
Randall J Bateman
Beau M Ances
Affiliated Authors:
James M Noble
Subjects:
Author Keywords:
autosomal dominant alzheimer's disease
biomarkers
machine learning
Grants:
UL1TR002345 (NIH – National Center for Advancing Translational Sciences)
UL1TR000448 (NIH – National Center for Advancing Translational Sciences)
R01EB009352 (NIH – National Institute of Biomedical Imaging and Bioengineering)
R01MH098062 (NIH – National Institute of Mental Health)
P30NS098577 (NIH – National Institute of Neurological Disorders and Stroke)
R01AG058676 (NIH – National Institute On Aging)
P30AG066444 (NIH – National Institute On Aging)
U19AG024904 (NIH – National Institute On Aging)
R01AG046179 (NIH – National Institute On Aging)
P01AG003991 (NIH – National Institute On Aging)
RF1AG059009 (NIH – National Institute On Aging)
K23AG046363 (NIH – National Institute On Aging)
U01AG042791 (NIH – National Institute On Aging)
R01AG052550 (NIH – National Institute On Aging)
P30AG019610 (NIH – National Institute On Aging)
U24AG057437 (NIH – National Institute On Aging)
P30AG072980 (NIH – National Institute On Aging)
P50AG005131 (NIH – National Institute On Aging)
R01AG053798 (NIH – National Institute On Aging)
U19AG032438 (NIH – National Institute On Aging)
P50AG005681 (NIH – National Institute On Aging)
K01AG053474 (NIH – National Institute On Aging)
UF1AG032438 (NIH – National Institute On Aging)
P01AG026276 (NIH – National Institute On Aging)
S10OD025214 (NIH – Office of the Director, National Institutes of Health)
Publication Type:
Article
Unique ID:
10.1002/alz.12661
PMID:
Publication Date:
Data Source:
PubMed

Record Created: