Alzheimer’s Disease Neuroimaging Initiative

5586 Total Publications

Year	Title	Author	Journal
2019	Joint Multi-Modal Longitudinal Regression and Classification for Alzheimer's Disease Prediction	Brand, L, Nichols, K, Wang, H, Shen, L and Huang, H	Journal IEEE Trans Med Imaging;
2019	White matter in different regions evolves differently during progression to dementia	Dadar, M, Maranzano, J, Ducharme, S, Collins, DL, Weiner, MW, Aisen, P, Weiner, M, Petersen, R, Jack, CR, Jagust, W, Trojanowki, JQ, Toga, AW, Beckett, L, Green, RC, Saykin, AJ, Morris, J, Shaw, LM, Khachaturian, Z, Sorensen, G, Carrillo, M, Kuller, L, Raichle, M, Paul, S, Davies, P, Fillit, H, Hefti, F, Holtzman, D, Mesulam, MM, Potter, W, Snyder, P, Lilly, E, Logovinsky, V, Montine, T, Jimenez, G, Donohue, M, Gessert, D, Harless, K, Salazar, J, Cabrera, Y, Walter, S, Hergesheimer, L, Harvey, D, Bernstein, M, Fox, N, Thompson, P, Schuff, N, DeCarli, C, Borowski, B, Gunter, J, Senjem, M, Vemuri, P, Jones, D, Kantarci, K, Ward, C, Koeppe, RA, Foster, N, Reiman, EM, Chen, KW, Mathis, C, Landau, S, Morris, JC, Cairns, NJ, Franklin, E, Taylor-Reinwald, L, Lee, V, Korecka, M, Figurski, M, Crawford, K, Neu, S, Foroud, TM, Potkin, S, Shen, L, Faber, K, Kim, S, Nho, K, Thal, L, Thal, L, Buckholtz, N, Snyder, PJ, Albert, M, Frank, R, Hsiao, J, Quinn, J, Silbert, LC, Lind, B, Kaye, JA, Carter, R, Dolen, S, Schneider, LS, Pawluczyk, S, Becerra, M, Teodoro, L, Spann, BM, Brewer, J, Vanderswag, H, Fleisher, A, Ziolkowski, J, Heidebrink, JL, Lord, JL, Mason, SS, Albers, CS, Knopman, D, Johnson, K, Villanueva-Meyer, J, Pavlik, V, Pacini, N, Lamb, A, Kass, JS, Doody, RS, Shibley, V, Chowdhury, M, Rountree, S, Dang, MM, Stern, Y, Honig, LS, Bell, KL, Yeh, R, Ances, B, Winkfield, D, Carroll, M, Oliver, A, Creech, ML, Mintun, MA, Schneider, S, Marson, D, Geldmacher, D, Love, MN, Griffith, R, Clark, D, Brockington, J, Grossman, H, Mitsis, E, Shah, RC, Lamar, M, Samuels, P, Duara, R, Greig-Custo, MT, Rodriguez, R, Onyike, C, D'Agostino, D, Kielb, S, Witbracht, M, Sadowski, M, Sheikh, MO, Singleton-Garvin, J, Ulysse, A, Gaikwad, M, Doraiswamy, PM, Petrella, JR, James, O, Borges-Neto, S, Wong, TZ, Coleman, E, Karlawish, JH, Wolk, DA, Vaishnavi, S, Clark, CM, Arnold, SE, Smith, CD, Jicha, G, Hardy, P, El Khouli, R, Oates, E, Conrad, G, Lopez, OL, Oakley, M, Simpson, DM, Porsteinsson, AP, Martin, K, Kowalksi, N, Keltz, M, Goldstein, BS, Makino, KM, Ismail, MS, Brand, C, Thai, G, Pierce, A, Yanez, B, Sosa, E, Womack, K, Mathews, D, Quiceno, M, Levey, AI, Lah, JJ, Cellar, JS, Burns, JM, Swerdlow, RH, Brooks, WM, Woo, E, Silverman, DHS, Teng, E, Kremen, S, Apostolova, L, Tingus, K, Lu, PH, Bartzokis, G, Graff-Radford, NR, Parfitt, F, Poki-Walker, K, Farlow, MR, Hake, AM, Matthews, BR, Brosch, JR, Herring, S, van Dyck, CH, Carson, RE, Varma, P, Chertkow, H, Bergman, H, Hosein, C, Black, S, Stefanovic, B, Heyn, C, Hsiung, GYR, Mudge, B, Sossi, V, Feldman, H, Assaly, M, Finger, E, Pasternack, S, Pavlosky, W, Rachinsky, I, Drost, D, Kertesz, A, Bernick, C, Munic, D, Mesulam, MM, Rogalski, E, Lipowski, K, Weintraub, S, Bonakdarpour, B, Kerwin, D, Wu, CK, Johnson, N, Sadowsky, C, Villena, T, Turner, RS, Johnson, K, Reynolds, B, Sperling, RA, Johnson, KA, Marshall, GA, Yesavage, J, Taylor, JL, Chao, S, Lane, B, Rosen, A, Tinklenberg, J, Zamrini, E, Belden, CM, Sirrel, SA, Kowall, N, Killiany, R, Budson, AE, Norbash, A, Johnson, PL, Obisesan, TO, Oyonumo, NE, Allard, J, Ogunlana, O, Lerner, A, Ogrocki, P, Tatsuoka, C, Fatica, P, Fletcher, E, Maillard, P, Olichney, J, Carmichael, O, Kittur, S, Borrie, M, Lee, TY, Bartha, R, Johnson, S, Asthana, S, Carlsson, CM, Tariot, P, Burke, A, Hetelle, J, DeMarco, K, Trncic, N, Reeder, S, Bates, V, Capote, H, Rainka, M, Scharre, DW, Kataki, M, Tarawneh, R, Zimmerman, EA, Celmins, D, Hart, D, Pearlson, GD, Blank, K, Anderson, K, Flashman, LA, Seltzer, M, Hynes, ML, Santulli, RB, Sink, KM, Yang, M, Mintz, A, Ott, BR, Tremont, G, Daiello, LA, Bodge, C, Salloway, S, Malloy, P, Correia, S, Lee, A, Rosen, HJ, Miller, BL, Perry, D, Mintzer, J, Spicer, K, Bachman, D, Pasternak, S, Rogers, J, Pomara, N, Hernando, R, Sarrael, A, Miller, DD, Smith, KE, Koleva, H, Nam, KW, Shim, H, Schultz, SK, Relkin, N, Chiang, G, Lin, M, Ravdin, L, Smith, A, Leach, C, Raj, BA, Fargher, K, Neylan, T, Grafman, J, Friedl, K, Hayes, J, Finley, S, Householder, E, Fleischman, D, Arfanakis, K, Varon, D, Greig, MT, Goldstein, B, Martin, KS, Potkin, SG, Preda, A, Nguyen, D, Massoglia, D, Brawman-Mintzer, O, Martinez, W, Rosen, H, Behan, K, Marshall, G, Sabbagh, MN, Jacobson, SA, Wolday, S, Johnson, SC, Fruehling, JJ, Harding, S, Peskind, ER, Petrie, EC, Li, G, Yesavage, JA, Furst, AJ, Mackin, S, Raman, R, Drake, E, Donohue, M, Shaffer, E, Nelson, C, Bickford, D, Butters, M, Zmuda, M, Reyes, D, Faber, KM, Nudelman, KN, Au, YH, Scherer, K, Catalinotto, D, Stark, S, Ong, E, Fernandez, D and Alzheimers Dis Neuroimaging, I	Journal Neurobiology of Aging;
2019	Benchmarking functional connectome-based predictive models for resting-state fMRI	Dadi, K, Rahim, M, Abraham, A, Chyzhyk, D, Milham, M, Thirion, B, Varoquaux, G and Alzheimers Dis Neuroimaging, I	Journal Neuroimage;
2019	Braak neurofibrillary tangle staging prediction from in vivo MRI metrics	Dallaire-Théroux, C, Beheshti, I, Potvin, O, Dieumegarde, L, Saikali, S and Duchesne, S	Journal Alzheimers Dement (Amst);
2019	An interpretable machine learning model for diagnosis of Alzheimer's disease	Das, D., Ito, J., Kadowaki, T. and Tsuda, K.	Journal PeerJ;
2019	Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3	Zavaliangos-Petropulu,A, Nir,TM, Thomopoulos,SI, Reid,RI, Bernstein,MA, Borowski,B, Jack, CR, Weiner,MW, Jahanshad,N, Thompson,PM.	Journal Frontiers Neuroinformatics;
2019	The relationship between domain-specific subjective cognitive decline and Alzheimer's pathology in normal elderly adults	Shokouhi, S, Conley, AC, Baker, SL, Albert, K, Kang, H, Gwirtsman, HE, Newhouse, PA and Alzheimers Dis Neuroimaging, I	Journal Neurobiology of Aging;
2019	TREML2 Mutation Mediate Alzheimer's Disease Risk by Altering Neuronal Degeneration	Song, YNL, J. Q.: Tan, C. C.: Wang, H. F.: Tan, M. S.: Cao, X. P.: Yu, J. T.: Tan, L.	Journal Front Neurosci;
2019	A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease	Spasov, S., Passamonti, L., Duggento, A., Lio, P. and Toschi, N.	Journal Neuroimage;
2019	Doubly sparse regression incorporating graphical structure among predictors	Stephenson, M, Ali, RA, Darlington, GA and Alzheimers Dis Neuroimaging, I	Journal Canadian Journal of Statistics-Revue Canadienne De Statistique;