Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data von Jo, Taeho, Nho, Kwangsik, Saykin, Andrew J

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Neuropathological correlates and genetic architecture of microglial activation in elderly human brain von Felsky, Daniel, Roostaei, Tina, Nho, Kwangsik, Risacher, Shannon L., Bradshaw, Elizabeth M., Petyuk, Vlad, Schneider, Julie A., Saykin, Andrew, Bennett, David A., De Jager, Philip L.

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Concordant peripheral lipidome signatures in two large clinical studies of Alzheimer’s disease von Huynh, Kevin, Lim, Wei Ling Florence, Giles, Corey, Jayawardana, Kaushala S., Salim, Agus, Mellett, Natalie A., Smith, Adam Alexander T., Olshansky, Gavriel, Drew, Brian G., Chatterjee, Pratishtha, Martins, Ian, Laws, Simon M., Bush, Ashley I., Rowe, Christopher C., Villemagne, Victor L., Ames, David, Masters, Colin L., Arnold, Matthias, Nho, Kwangsik, Saykin, Andrew J., Baillie, Rebecca, Han, Xianlin, Kaddurah-Daouk, Rima, Martins, Ralph N., Meikle, Peter J.

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Deep learning detection of informative features in tau PET for Alzheimer's disease classification von Jo, Taeho, Nho, Kwangsik, Risacher, Shannon L, Saykin, Andrew J

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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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MicroRNA-298 reduces levels of human amyloid-β precursor protein (APP), β-site APP-converting enzyme 1 (BACE1) and specific tau protein moieties von Chopra, Nipun, Wang, Ruizhi, Maloney, Bryan, Nho, Kwangsik, Beck, John S., Pourshafie, Naemeh, Niculescu, Alexander, Saykin, Andrew J., Rinaldi, Carlo, Counts, Scott E., Lahiri, Debomoy K.

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Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study von Varma, Vijay R, Oommen, Anup M, Varma, Sudhir, Casanova, Ramon, An, Yang, Andrews, Ryan M, O'Brien, Richard, Pletnikova, Olga, Troncoso, Juan C, Toledo, Jon, Baillie, Rebecca, Arnold, Matthias, Kastenmueller, Gabi, Nho, Kwangsik, Doraiswamy, P Murali, Saykin, Andrew J, Kaddurah-Daouk, Rima, Legido-Quigley, Cristina, Thambisetty, Madhav

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Human microRNA (miR-20b-5p) modulates Alzheimer’s disease pathways and neuronal function, and a specific polymorphism close to the MIR20B gene influences Alzheimer’s biomarkers von Wang, Ruizhi, Chopra, Nipun, Nho, Kwangsik, Maloney, Bryan, Obukhov, Alexander G., Nelson, Peter T., Counts, Scott E., Lahiri, Debomoy K.

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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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Whole exome sequencing study identifies novel rare and common Alzheimer’s-Associated variants involved in immune response and transcriptional regulation von Bis, Joshua C., Jian, Xueqiu, Kunkle, Brian W., Chen, Yuning, Hamilton-Nelson, Kara L., Bush, William S., Salerno, William J., Lancour, Daniel, Ma, Yiyi, Renton, Alan E., Marcora, Edoardo, Farrell, John J., Zhao, Yi, Qu, Liming, Ahmad, Shahzad, Amin, Najaf, Amouyel, Philippe, Beecham, Gary W., Below, Jennifer E., Campion, Dominique, Cantwell, Laura, Charbonnier, Camille, Chung, Jaeyoon, Crane, Paul K., Cruchaga, Carlos, Cupples, L. Adrienne, Dartigues, Jean-François, Debette, Stéphanie, Deleuze, Jean-François, Fulton, Lucinda, Gabriel, Stacey B., Genin, Emmanuelle, Gibbs, Richard A., Goate, Alison, Grenier-Boley, Benjamin, Gupta, Namrata, Haines, Jonathan L., Havulinna, Aki S., Helisalmi, Seppo, Hiltunen, Mikko, Howrigan, Daniel P., Ikram, M. Arfan, Kaprio, Jaakko, Konrad, Jan, Kuzma, Amanda, Lander, Eric S., Lathrop, Mark, Lehtimäki, Terho, Lin, Honghuang, Mattila, Kari, Mayeux, Richard, Muzny, Donna M., Nasser, Waleed, Neale, Benjamin, Nho, Kwangsik, Nicolas, Gaël, Patel, Devanshi, Pericak-Vance, Margaret A., Perola, Markus, Psaty, Bruce M., Quenez, Olivier, Rajabli, Farid, Redon, Richard, Reitz, Christiane, Remes, Anne M., Salomaa, Veikko, Sarnowski, Chloe, Schmidt, Helena, Schmidt, Michael, Schmidt, Reinhold, Soininen, Hilkka, Thornton, Timothy A., Tosto, Giuseppe, Tzourio, Christophe, van der Lee, Sven J., van Duijn, Cornelia M., Valladares, Otto, Vardarajan, Badri, Wang, Li-San, Wang, Weixin, Wijsman, Ellen, Wilson, Richard K., Witten, Daniela, Worley, Kim C., Zhang, Xiaoling, Bellenguez, Celine, Lambert, Jean-Charles, Kurki, Mitja I., Palotie, Aarno, Daly, Mark, Boerwinkle, Eric, Lunetta, Kathryn L., Destefano, Anita L., Dupuis, Josée, Martin, Eden R., Schellenberg, Gerard D., Seshadri, Sudha, Naj, Adam C., Fornage, Myriam, Farrer, Lindsay A.

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Alternative Splicing Regulation of Low-Frequency Genetic Variants in Exon 2 of TREM2 in Alzheimer’s Disease by Splicing-Based Aggregation von Han, Seonggyun, Koh, Insong, Nho, Kwangsik, Lee, Younghee

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Sex and APOE ε4 genotype modify the Alzheimer’s disease serum metabolome von Arnold, Matthias, Nho, Kwangsik, Kueider-Paisley, Alexandra, Massaro, Tyler, Huynh, Kevin, Brauner, Barbara, MahmoudianDehkordi, Siamak, Louie, Gregory, Moseley, M. Arthur, Thompson, J. Will, John-Williams, Lisa St, Tenenbaum, Jessica D., Blach, Colette, Chang, Rui, Brinton, Roberta D., Baillie, Rebecca, Han, Xianlin, Trojanowski, John Q., Shaw, Leslie M., Martins, Ralph, Weiner, Michael W., Trushina, Eugenia, Toledo, Jon B., Meikle, Peter J., Bennett, David A., Krumsiek, Jan, Doraiswamy, P. Murali, Saykin, Andrew J., Kaddurah-Daouk, Rima, Kastenmüller, Gabi

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Alternative Splicing Regulation of an Alzheimer's Risk Variant in CLU von Han, Seonggyun, Nho, Kwangsik, Lee, Younghee

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INPP5D expression is associated with risk for Alzheimer's disease and induced by plaque-associated microglia von Tsai, Andy P., Lin, Peter Bor-Chian, Dong, Chuanpeng, Moutinho, Miguel, Casali, Brad T., Liu, Yunlong, Lamb, Bruce T., Landreth, Gary E., Oblak, Adrian L., Nho, Kwangsik

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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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Rare CASP6N73T variant associated with hippocampal volume exhibits decreased proteolytic activity, synaptic transmission defect, and neurodegeneration von Zhou, Libin, Nho, Kwangsik, Haddad, Maria G., Cherepacha, Nicole, Tubeleviciute-Aydin, Agne, Tsai, Andy P., Saykin, Andrew J., Jesper Sjöström, P., LeBlanc, Andrea C.

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Accelerated functional brain aging in pre-clinical familial Alzheimer’s disease von Gonneaud, Julie, Baria, Alex T., Pichet Binette, Alexa, Gordon, Brian A., Chhatwal, Jasmeer P., Cruchaga, Carlos, Jucker, Mathias, Levin, Johannes, Salloway, Stephen, Farlow, Martin, Gauthier, Serge, Benzinger, Tammie L. S., Morris, John C., Bateman, Randall J., Breitner, John C. S., Poirier, Judes, Vachon-Presseau, Etienne, Villeneuve, Sylvia

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Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging von Yan, Qi, Nho, Kwangsik, Del-Aguila, Jorge L., Wang, Xingbin, Risacher, Shannon L., Fan, Kang-Hsien, Snitz, Beth E., Aizenstein, Howard J., Mathis, Chester A., Lopez, Oscar L., Demirci, F. Yesim, Feingold, Eleanor, Klunk, William E., Saykin, Andrew J., Cruchaga, Carlos, Kamboh, M. Ilyas

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