التفاصيل البيبلوغرافية
العنوان:
Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer disease
المؤلفون:
Peter R. Millar , Patrick H. Luckett , Brian A. Gordon , Tammie L.S. Benzinger , Suzanne E. Schindler , Anne M. Fagan , Carlos Cruchaga , Randall J. Bateman , Ricardo Allegri , Mathias Jucker , Jae-Hong Lee , Hiroshi Mori , Stephen P Salloway , Igor Yakushev , John C. Morris , Beau M. Ances , Sarah Adams, MS , Ricardo Allegri, PhD , Aki Araki , Nicolas Barthelemy, PhD , Randall Bateman, MD , Jacob Bechara, BS , Tammie Benzinger, MD, PhD , Sarah Berman, MD, PhD , Courtney Bodge, PhD , Susan Brandon, BS , William (Bill) Brooks, MBBS,MPH , Jared Brosch, MD, PhD , Jill Buck, BSN , Virginia Buckles, PhD , Kathleen Carter, PhD , Lisa Cash, BFA , Charlie Chen, BA , Jasmeer Chhatwal, MD,PhD , Patricio Chrem Mendez, MD , Jasmin Chua, BS , Helena Chui, MD , Laura Courtney, BS , Carlos Cruchaga, PhD , Gregory S Day, MD , Chrismary DeLaCruz, BA , Darcy Denner, PhD , Anna Diffenbacher, MS , Aylin Dincer, BS , Tamara Donahue, MS , Jane Douglas, MPh , Duc Duong, BS , Noelia Egido, BS , Bianca Esposito, BS , Anne Fagan, PhD , Marty Farlow, MD , Becca Feldman, BS,BA , Colleen Fitzpatrick, MS , Shaney Flores, BS , Nick Fox, MD , Erin Franklin, MS , Nelly Joseph-Mathurin, PhD , Hisako Fujii, PhD , Samantha Gardener, PhD , Bernardino Ghetti, MD , Alison Goate, PhD , Sarah Goldberg, MS,LPC,NCC , Jill Goldman, MS,MPhil,CGC , Alyssa Gonzalez, BS , Brian Gordon, PhD , Susanne Gräber-Sultan, PhD , Neill Graff-Radford, MD , Morgan Graham, BA , Julia Gray, MS , Emily Gremminger, BA , Miguel Grilo, MD , Alex Groves , Christian Haass, PhD , Lisa Häsler, MSc , Jason Hassenstab, PhD , Cortaiga Hellm, BA , Elizabeth Herries, BA , Laura Hoechst-Swisher, MS , Anna Hofmann, MD , Anna Hofmann , David Holtzman, MD , Russ Hornbeck, MSCS, MPM , Yakushev Igor, MD , Ryoko Ihara, MD , Takeshi Ikeuchi, MD , Snezana Ikonomovic, MD , Kenji Ishii, MD , Clifford Jack, MD , Gina Jerome, MS , Erik Johnson, MD, PHD , Mathias Jucker, PhD , Celeste Karch, PhD , Stephan Käser, PHD , Kensaku Kasuga, MD , Sarah Keefe, BS , William Klunk, MD, PHD , Robert Koeppe, PHD , Deb Koudelis, MHS,RN , Elke Kuder-Buletta, RN , Christoph Laske, PhD , Allan Levey, MD, PHD , Johannes Levin, MD , Yan Li, PHD , Oscar Lopez, MD, MD , Jacob Marsh, BA , Ralph Martins, PhD , Neal Scott Mason, PhD , Colin Masters, MD , Kwasi Mawuenyega, PhD , Austin McCullough, PhD Candidate , Eric McDade, DO , Arlene Mejia, MD , Estrella Morenas-Rodriguez, MD, PhD , John Morris, MD , James Mountz, MD , Cath Mummery, PhD , N eelesh Nadkarni, MD, PhD , Akemi Nagamatsu, RN , Katie Neimeyer, MS , Yoshiki Niimi, MD , James Noble, MD , Joanne Norton, MSN, RN, PMHCNS-BC , Brigitte Nuscher , Ulricke Obermüller , Antoinette O'Connor, MRCPI , Riddhi Patira, MD , Richard Perrin, MD, PhD , Lingyan Ping, PhD , Oliver Preische, MD , Alan Renton, PhD , John Ringman, MD , Stephen Salloway, MD , Peter Schofield, PhD , Michio Senda, MD, PhD , Nicholas T Seyfried, D.Phil , Kristine Shady, BA, BS , Hiroyuki Shimada, MD, PhD , Wendy Sigurdson, RN , Jennifer Smith, PhD , Lori Smith, PA-C , Beth Snitz, PhD , Hamid Sohrabi, PhD , Sochenda Stephens, BS, CCRP , Kevin Taddei, BS , Sarah Thompson, PA-C , Jonathan Vöglein, MD , Peter Wang, PhD , Qing Wang, PhD , Elise Weamer, MPH , Chengjie Xiong, PhD , Jinbin Xu, PhD , Xiong Xu, BS, MS
المصدر:
NeuroImage, Vol 256, Iss , Pp 119228- (2022)
بيانات النشر:
Elsevier, 2022.
سنة النشر:
2022
المجموعة:
LCC:Neurosciences. Biological psychiatry. Neuropsychiatry
مصطلحات موضوعية:
Brain aging , Alzheimer disease , Resting-state functional connectivity , fMRI , Machine learning , Neurosciences. Biological psychiatry. Neuropsychiatry , RC321-571
الوصف:
“Brain-predicted age” quantifies apparent brain age compared to normative neuroimaging trajectories. Advanced brain-predicted age has been well established in symptomatic Alzheimer disease (AD), but is underexplored in preclinical AD. Prior brain-predicted age studies have typically used structural MRI, but resting-state functional connectivity (FC) remains underexplored. Our model predicted age from FC in 391 cognitively normal, amyloid-negative controls (ages 18–89). We applied the trained model to 145 amyloid-negative, 151 preclinical AD, and 156 symptomatic AD participants to test group differences. The model accurately predicted age in the training set. FC-predicted brain age gaps (FC-BAG) were significantly older in symptomatic AD and significantly younger in preclinical AD compared to controls. There was minimal correspondence between networks predictive of age and AD. Elevated FC-BAG may reflect network disruption during symptomatic AD. Reduced FC-BAG in preclinical AD was opposite to the expected direction, and may reflect a biphasic response to preclinical AD pathology or may be driven by inconsistency between age-related vs. AD-related networks. Overall, FC-predicted brain age may be a sensitive AD biomarker.
نوع الوثيقة:
article
وصف الملف:
electronic resource
اللغة:
English
تدمد:
1095-9572
العلاقة:
http://www.sciencedirect.com/science/article/pii/S1053811922003524Test ; https://doaj.org/toc/1095-9572Test
DOI:
10.1016/j.neuroimage.2022.119228
الوصول الحر:
https://doaj.org/article/a5b21c8a2d4d47f7be6c84bca22f48e4Test
رقم الانضمام:
edsdoj.5b21c8a2d4d47f7be6c84bca22f48e4
قاعدة البيانات:
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