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1,017 results

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Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
Yang Z, Wen J, Abdulkadir A, Cui Y, Erus G, Mamourian E, Melhem R, Srinivasan D, Govindarajan ST, Chen J, Habes M, Masters CL, Maruff P, Fripp J, Ferrucci L, Albert MS, Johnson SC, Morris JC, LaMontagne P, Marcus DS, Benzinger TLS, Wolk DA, Shen L, Bao J, Resnick SM, Shou H, Nasrallah IM, Davatzikos C. Yang Z, et al. Among authors: masters cl. ArXiv [Preprint]. 2023 Jan 25:arXiv:2301.10772v1. ArXiv. 2023. Update in: Nat Commun. 2024 Jan 8;15(1):354. doi: 10.1038/s41467-023-44271-2 PMID: 36748000 Free PMC article. Updated. Preprint.
Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
Yang Z, Wen J, Abdulkadir A, Cui Y, Erus G, Mamourian E, Melhem R, Srinivasan D, Govindarajan ST, Chen J, Habes M, Masters CL, Maruff P, Fripp J, Ferrucci L, Albert MS, Johnson SC, Morris JC, LaMontagne P, Marcus DS, Benzinger TLS, Wolk DA, Shen L, Bao J, Resnick SM, Shou H, Nasrallah IM, Davatzikos C. Yang Z, et al. Among authors: masters cl. Nat Commun. 2024 Jan 8;15(1):354. doi: 10.1038/s41467-023-44271-2. Nat Commun. 2024. PMID: 38191573 Free PMC article.
Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures.
Yang Z, Wen J, Erus G, Govindarajan ST, Melhem R, Mamourian E, Cui Y, Srinivasan D, Abdulkadir A, Parmpi P, Wittfeld K, Grabe HJ, Bülow R, Frenzel S, Tosun D, Bilgel M, An Y, Yi D, Marcus DS, LaMontagne P, Benzinger TLS, Heckbert SR, Austin TR, Waldstein SR, Evans MK, Zonderman AB, Launer LJ, Sotiras A, Espeland MA, Masters CL, Maruff P, Fripp J, Toga A, O'Bryant S, Chakravarty MM, Villeneuve S, Johnson SC, Morris JC, Albert MS, Yaffe K, Völzke H, Ferrucci L, Bryan NR, Shinohara RT, Fan Y, Habes M, Lalousis PA, Koutsouleris N, Wolk DA, Resnick SM, Shou H, Nasrallah IM, Davatzikos C. Yang Z, et al. Among authors: masters cl. medRxiv [Preprint]. 2023 Dec 30:2023.12.29.23300642. doi: 10.1101/2023.12.29.23300642. medRxiv. 2023. PMID: 38234857 Free PMC article. Preprint.
Brain aging patterns in a large and diverse cohort of 49,482 individuals.
Yang Z, Wen J, Erus G, Govindarajan ST, Melhem R, Mamourian E, Cui Y, Srinivasan D, Abdulkadir A, Parmpi P, Wittfeld K, Grabe HJ, Bülow R, Frenzel S, Tosun D, Bilgel M, An Y, Yi D, Marcus DS, LaMontagne P, Benzinger TLS, Heckbert SR, Austin TR, Waldstein SR, Evans MK, Zonderman AB, Launer LJ, Sotiras A, Espeland MA, Masters CL, Maruff P, Fripp J, Toga AW, O'Bryant S, Chakravarty MM, Villeneuve S, Johnson SC, Morris JC, Albert MS, Yaffe K, Völzke H, Ferrucci L, Nick Bryan R, Shinohara RT, Fan Y, Habes M, Lalousis PA, Koutsouleris N, Wolk DA, Resnick SM, Shou H, Nasrallah IM, Davatzikos C. Yang Z, et al. Among authors: masters cl. Nat Med. 2024 Oct;30(10):3015-3026. doi: 10.1038/s41591-024-03144-x. Epub 2024 Aug 15. Nat Med. 2024. PMID: 39147830 Free PMC article.
Rethinking the residual approach: Leveraging machine learning to operationalize cognitive resilience in Alzheimer's disease.
Birkenbihl C, Cuppels M, Boyle RT, Klinger HM, Langford O, Coughlan GT, Properzi MJ, Chhatwal J, Price JC, Schultz AP, Rentz DM, Amariglio RE, Johnson KA, Gottesman RF, Mukherjee S, Maruff P, Lim YY, Masters CL, Beiser A, Resnick SM, Hughes TM, Burnham S, Tunali I, Landau S, Cohen AD, Johnson SC, Betthauser TJ, Seshadri S, Lockhart SN, O'Bryant SE, Vemuri P, Sperling RA, Hohman TJ, Donohue MC, Buckley RF. Birkenbihl C, et al. Among authors: masters cl. medRxiv [Preprint]. 2024 Sep 18:2024.08.19.24312256. doi: 10.1101/2024.08.19.24312256. medRxiv. 2024. PMID: 39228697 Free PMC article. Preprint.
Prediction of future cognitive decline among cognitively unimpaired individuals using measures of soluble phosphorylated tau or tau tangle pathology.
Ossenkoppele R, Salvadó G, Janelidze S, Binette AP, Bali D, Karlsson L, Palmqvist S, Mattsson-Carlgren N, Stomrud E, Therriault J, Rahmouni N, Rosa-Neto P, Coomans EM, van de Giessen E, van der Flier WM, Teunissen CE, Jonaitis EM, Johnson SC; PREVENT-AD Research Group; Villeneuve S, Benzinger TLS, Schindler SE, Bateman RJ, Doecke JD, Doré V, Feizpour A, Masters CL, Rowe C, Wiste HJ, Petersen RC, Jack CR Jr, Hansson O. Ossenkoppele R, et al. Among authors: masters cl. medRxiv [Preprint]. 2024 Jun 13:2024.06.12.24308824. doi: 10.1101/2024.06.12.24308824. medRxiv. 2024. PMID: 38947004 Free PMC article. Preprint.
Downstream Biomarker Effects of Gantenerumab or Solanezumab in Dominantly Inherited Alzheimer Disease: The DIAN-TU-001 Randomized Clinical Trial.
Wagemann O, Liu H, Wang G, Shi X, Bittner T, Scelsi MA, Farlow MR, Clifford DB, Supnet-Bell C, Santacruz AM, Aschenbrenner AJ, Hassenstab JJ, Benzinger TLS, Gordon BA, Coalier KA, Cruchaga C, Ibanez L, Perrin RJ, Xiong C, Li Y, Morris JC, Lah JJ, Berman SB, Roberson ED, van Dyck CH, Galasko D, Gauthier S, Hsiung GR, Brooks WS, Pariente J, Mummery CJ, Day GS, Ringman JM, Mendez PC, St George-Hyslop P, Fox NC, Suzuki K, Okhravi HR, Chhatwal J, Levin J, Jucker M, Sims JR, Holdridge KC, Proctor NK, Yaari R, Andersen SW, Mancini M, Llibre-Guerra J, Bateman RJ, McDade E; Dominantly Inherited Alzheimer Network–Trials Unit. Wagemann O, et al. JAMA Neurol. 2024 Jun 1;81(6):582-593. doi: 10.1001/jamaneurol.2024.0991. JAMA Neurol. 2024. PMID: 38683602 Free PMC article. Clinical Trial.
γ-Secretase activity, clinical features, and biomarkers of autosomal dominant Alzheimer's disease: cross-sectional and longitudinal analysis of the Dominantly Inherited Alzheimer Network observational study (DIAN-OBS).
Schultz SA, Liu L, Schultz AP, Fitzpatrick CD, Levin R, Bellier JP, Shirzadi Z, Joseph-Mathurin N, Chen CD, Benzinger TLS, Day GS, Farlow MR, Gordon BA, Hassenstab JJ, Jack CR Jr, Jucker M, Karch CM, Lee JH, Levin J, Perrin RJ, Schofield PR, Xiong C, Johnson KA, McDade E, Bateman RJ, Sperling RA, Selkoe DJ, Chhatwal JP; Dominantly Inherited Alzheimer Network. Schultz SA, et al. Lancet Neurol. 2024 Sep;23(9):913-924. doi: 10.1016/S1474-4422(24)00236-9. Epub 2024 Jul 26. Lancet Neurol. 2024. PMID: 39074479
Axonal damage and astrocytosis are biological correlates of grey matter network integrity loss: a cohort study in autosomal dominant Alzheimer disease.
Vermunt L, Sutphen C, Dicks E, de Leeuw DM, Allegri R, Berman SB, Cash DM, Chhatwal JP, Cruchaga C, Day G, Ewers M, Farlow M, Fox NC, Ghetti B, Graff-Radford N, Hassenstab J, Jucker M, Karch CM, Kuhle J, Laske C, Levin J, Masters CL, McDade E, Mori H, Morris JC, Perrin RJ, Preische O, Schofield PR, Suárez-Calvet M, Xiong C, Scheltens P, Teunissen CE, Visser PJ, Bateman RJ, Benzinger TLS, Fagan AM, Gordon BA, Tijms BM. Vermunt L, et al. Among authors: masters cl. medRxiv [Preprint]. 2023 Mar 22:2023.03.21.23287468. doi: 10.1101/2023.03.21.23287468. medRxiv. 2023. PMID: 37016671 Free PMC article. Preprint.
1,017 results