Four distinct trajectories of tau deposition identified in Alzheimer’s disease von Vogel, Jacob W., Young, Alexandra L., Oxtoby, Neil P., Smith, Ruben, Ossenkoppele, Rik, Strandberg, Olof T., La Joie, Renaud, Aksman, Leon M., Grothe, Michel J., Iturria-Medina, Yasser, Pontecorvo, Michael J., Devous, Michael D., Rabinovici, Gil D., Alexander, Daniel C., Lyoo, Chul Hyoung, Evans, Alan C., Hansson, Oskar

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Spread of pathological tau proteins through communicating neurons in human Alzheimer’s disease von Vogel, Jacob W., Iturria-Medina, Yasser, Strandberg, Olof T., Smith, Ruben, Levitis, Elizabeth, Evans, Alan C., Hansson, Oskar

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Early role of vascular dysregulation on late-onset Alzheimer’s disease based on multifactorial data-driven analysis von Iturria-Medina, Y., Sotero, R. C., Toussaint, P. J., Mateos-Pérez, J. M., Evans, A. C.

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Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference von Young, Alexandra L, Marinescu, Razvan V, Oxtoby, Neil P, Bocchetta, Martina, Yong, Keir, Firth, Nicholas C, Cash, David M, Thomas, David L, Dick, Katrina M, Cardoso, Jorge, van Swieten, John, Borroni, Barbara, Galimberti, Daniela, Masellis, Mario, Tartaglia, Maria Carmela, Rowe, James B, Graff, Caroline, Tagliavini, Fabrizio, Frisoni, Giovanni B, Laforce, Robert, Finger, Elizabeth, de Mendonça, Alexandre, Sorbi, Sandro, Warren, Jason D, Crutch, Sebastian, Fox, Nick C, Ourselin, Sebastien, Schott, Jonathan M, Rohrer, Jonathan D, Alexander, Daniel C

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A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI von Iglesias, Juan Eugenio, Augustinack, Jean C., Nguyen, Khoa, Player, Christopher M., Player, Allison, Wright, Michelle, Roy, Nicole, Frosch, Matthew P., McKee, Ann C., Wald, Lawrence L., Fischl, Bruce, Van Leemput, Koen

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Predicting Alzheimer’s disease progression using multi-modal deep learning approach von Lee, Garam, Nho, Kwangsik, Kang, Byungkon, Sohn, Kyung-Ah, Kim, Dokyoon

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Functional brain architecture is associated with the rate of tau accumulation in Alzheimer’s disease von Franzmeier, Nicolai, Neitzel, Julia, Rubinski, Anna, Smith, Ruben, Strandberg, Olof, Ossenkoppele, Rik, Hansson, Oskar, Ewers, Michael

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Common genetic variants influence human subcortical brain structures von Hibar, Derrek P., Desrivières, Sylvane, Toro, Roberto, Wittfeld, Katharina, Abramovic, Lucija, Bernard, Manon, Chen, Qiang, Giddaluru, Sudheer, Janowitz, Deborah, Lee, Phil H., Ramasamy, Adaikalavan, Risacher, Shannon L., Rose, Emma J., Salami, Alireza, Schmaal, Lianne, Schork, Andrew J., Strike, Lachlan T., Walters, Raymond K., Winkler, Anderson M., Zwiers, Marcel P., Athanasiu, Lavinia, Hakobjan, Marina M. H., Hartberg, Cecilie B., Heister, Angelien J. G. A. M., Hoehn, David, Kasperaviciute, Dalia, Makkinje, Remco R. R., Reese McKay, D., Shen, Li, Walton, Esther, Ames, David, Corvin, Aiden, Curran, Joanne E., Dillman, Allissa, Erk, Susanne, Foroud, Tatiana M., Guelfi, Sebastian, Hegenscheid, Katrin, Hernandez, Dena G., Heslenfeld, Dirk J., Hottenga, Jouke-Jan, Jenkinson, Mark, Kanai, Ryota, Kent, Jack W., McMahon, Katie L., Meisenzahl, Eva, Mohnke, Sebastian, Mühleisen, Thomas W., Nalls, Michael A., Nichols, Thomas E., Potkin, Steven G., Reppermund, Simone, Rujescu, Dan, Schnell, Knut, Thalamuthu, Anbupalam, Turner, Jessica A., van 't Ent, Dennis, Wassink, Thomas H., Westman, Eric, Ashbrook, David G., Lu, Lu, Williams, Robert W., Buckner, Randy L., Calhoun, Vince D., Cavalleri, Gianpiero L., Dale, Anders M., Espeseth, Thomas, Hoffmann, Wolfgang, Le Hellard, Stephanie, Meyer-Lindenberg, Andreas, Müller-Myhsok, Bertram, Nyberg, Lars, Penninx, Brenda W. J. H., van Bokhoven, Hans, van Haren, Neeltje E. M., Völzke, Henry, Weiner, Michael W., White, Tonya, Agartz, Ingrid, Blangero, John, Boomsma, Dorret I., Fernández, Guillén, Fisher, Simon E., Francks, Clyde, Grabe, Hans J., Hashimoto, Ryota, Hulshoff Pol, Hilleke E., Jönsson, Erik G., McIntosh, Andrew M., Singleton, Andrew, Schmidt, Reinhold, Satizabal, Claudia L., Ebling, Maritza, Nyquist, Paul, Vinke, Louis N., Xue, Luting, Mazoyer, Bernard, Martin, Nicholas G., Wright, Margaret J., Schumann, Gunter

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Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects von Moradi, Elaheh, Pepe, Antonietta, Gaser, Christian, Huttunen, Heikki, Tohka, Jussi

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Association of Cerebrospinal Fluid Neurofilament Light Concentration With Alzheimer Disease Progression von Zetterberg, Henrik, Skillbäck, Tobias, Mattsson, Niklas, Trojanowski, John Q, Portelius, Erik, Shaw, Leslie M, Weiner, Michael W, Blennow, Kaj

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Association Between Anticholinergic Medication Use and Cognition, Brain Metabolism, and Brain Atrophy in Cognitively Normal Older Adults von Risacher, Shannon L, McDonald, Brenna C, Tallman, Eileen F, West, John D, Farlow, Martin R, Unverzagt, Fredrick W, Gao, Sujuan, Boustani, Malaz, Crane, Paul K, Petersen, Ronald C, Jack, Clifford R, Jagust, William J, Aisen, Paul S, Weiner, Michael W, Saykin, Andrew J

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Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer’s pathology von Schmitz, Taylor W., Nathan Spreng, R.

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Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology von Shen, Xinpeng, Ma, Sisi, Vemuri, Prashanthi, Simon, Gyorgy

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Amyloid-associated increases in soluble tau relate to tau aggregation rates and cognitive decline in early Alzheimer’s disease von Pichet Binette, Alexa, Franzmeier, Nicolai, Spotorno, Nicola, Ewers, Michael, Brendel, Matthias, Biel, Davina, Strandberg, Olof, Janelidze, Shorena, Palmqvist, Sebastian, Mattsson-Carlgren, Niklas, Smith, Ruben, Stomrud, Erik, Ossenkoppele, Rik, Hansson, Oskar

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CD33 Alzheimer's disease locus: altered monocyte function and amyloid biology von Bradshaw, Elizabeth M, Chibnik, Lori B, Keenan, Brendan T, Ottoboni, Linda, Raj, Towfique, Tang, Anna, Rosenkrantz, Laura L, Imboywa, Selina, Lee, Michelle, Von Korff, Alina, Morris, Martha C, Evans, Denis A, Johnson, Keith, Sperling, Reisa A, Schneider, Julie A, Bennett, David A, De Jager, Philip L

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A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure von Yang, Zhijian, Nasrallah, Ilya M., Shou, Haochang, Wen, Junhao, Doshi, Jimit, Habes, Mohamad, Erus, Guray, Abdulkadir, Ahmed, Resnick, Susan M., Albert, Marilyn S., Maruff, Paul, Fripp, Jurgen, Morris, John C., Wolk, David A., Davatzikos, Christos

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Ferritin levels in the cerebrospinal fluid predict Alzheimer’s disease outcomes and are regulated by APOE von Ayton, Scott, Faux, Noel G., Bush, Ashley I.

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Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression von Wen, Junhao, Fu, Cynthia H. Y, Tosun, Duygu, Veturi, Yogasudha, Yang, Zhijian, Abdulkadir, Ahmed, Mamourian, Elizabeth, Srinivasan, Dhivya, Skampardoni, Ioanna, Singh, Ashish, Nawani, Hema, Bao, Jingxuan, Erus, Guray, Shou, Haochang, Habes, Mohamad, Doshi, Jimit, Varol, Erdem, Mackin, R. Scott, Sotiras, Aristeidis, Fan, Yong, Saykin, Andrew J, Sheline, Yvette I, Shen, Li, Ritchie, Marylyn D, Wolk, David A, Albert, Marilyn, Resnick, Susan M, Davatzikos, Christos

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Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults von Trzepacz, Paula T, Hochstetler, Helen, Wang, Shufang, Walker, Brett, Saykin, Andrew J

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Non-coding variability at the APOE locus contributes to the Alzheimer’s risk von Zhou, Xiaopu, Chen, Yu, Mok, Kin Y., Kwok, Timothy C. Y., Mok, Vincent C. T., Guo, Qihao, Ip, Fanny C., Chen, Yuewen, Mullapudi, Nandita, Giusti-Rodríguez, Paola, Sullivan, Patrick F., Hardy, John, Fu, Amy K. Y., Li, Yun, Ip, Nancy Y.

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