Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer's Disease via Fusion of Clinical, Imaging and Omic Features

Asha Singanamalli, Haibo Wang, Anant Madabhushi, Michael Weiner, Paul Aisen, Ronald Petersen, Clifford Jack, William Jagust, John Trojanowki, Arthur Toga, Laurel A Beckett, Robert Green, Andrew Saykin, John Morris, Leslie Shaw, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty Lind, Raina CarterSara Dolen, Lon Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Judith Heidebrink, Joanne Lord, Sara Mason, Colleen Albers, David Knopman, Kris Johnson, Rachelle Doody, Javier Villanueva-Meyer, Munir Chowdhury, Susan Rountree, Mimi Dang, Yaakov Stern, Lawrence Honig, Karen Bell, Beau Ances, Maria Carroll, Mary Creech, Erin Franklin, Mark Mintun, Stacy Schneider, Angela Oliver, Daniel Marson, Randall Griffith, David Clark, David Geldmacher, John Brockington, Erik Roberson, Marissa Natelson Love, Hillel Grossman, Effie Mitsis, Raj Shah, Leyla Detoledo-Morrell, Ranjan Duara, Daniel Varon, Maria Greig, Peggy Roberts, Marilyn Albert, Chiadi Onyike, Daniel D'Agostino, Stephanie Kielb, James Galvin, Brittany Cerbone, Christina Michel, Dana Pogorelec, Henry Rusinek, Mony De Leon, Lidia Glodzik, Susan De Santi, P. Doraiswamy, Jeffrey Petrella, Salvador Borges-Neto, Terence Wong, Edward Coleman, Charles Smith, Greg Jicha, Peter Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad, Anton Porsteinsson, Bonnie Goldstein, Kim Martin, Kelly Makino, M. Ismail, Connie Brand, Ruth Mulnard, Gaby Thai, Catherine Mc-Adams-Ortiz, Kyle Womack, Dana Mathews, Mary Quiceno, Allan Levey, James Lah, Janet Cellar, Jeffrey Burns, Russell Swerdlow, William Brooks, Liana Apostolova, Kathleen Tingus, Ellen Woo, Daniel Silverman, Po Lu, George Bartzokis, Neill Graff-Radford, Francine Parfitt, Tracy Kendall, Heather Johnson, Martin Farlow, Ann Marie Hake, Brandy Matthews, Jared Brosch, Scott Herring, Cynthia Hunt, Christopher Dyck, Richard Carson, Martha MacAvoy, Pradeep Varma, Howard Chertkow, Howard Bergman, Chris Hosein, Sandra Black, Bojana Stefanovic, Curtis Caldwell, Ging Yuek Robin Hsiung, Howard Feldman, Benita Mudge, Michele Assaly, Elizabeth Finger, Stephen Pasternack, Irina Rachisky, Dick Trost, Andrew Kertesz, Charles Bernick, Donna Munic, Marek Marsel Mesulam, Kristine Lipowski, Sandra Weintraub, Borna Bonakdarpour, Diana Kerwin, Chuang Kuo Wu, Nancy Johnson, Carl Sadowsky, Teresa Villena, Raymond Scott Turner, Kathleen Johnson, Brigid Reynolds, Reisa Sperling, Keith Johnson, Gad Marshall, Jerome Yesavage, Joy Taylor, Barton Lane, Allyson Rosen, Jared Tinklenberg, Marwan Sabbagh, Christine Belden, Sandra Jacobson, Sherye Sirrel, Neil Kowall, Ronald Killiany, Andrew Budson, Alexander Norbash, Patricia Lynn Johnson, Thomas Obisesan, Saba Wolday, Joanne Allard, Alan Lerner, Paula Ogrocki, Curtis Tatsuoka, Parianne Fatica, Evan Fletcher, Pauline Maillard, John M Olichney, Charles DeCarli, Owen Carmichael, Smita Kittur, Michael Borrie, T. Y. Lee, Robbartha, Sterling Johnson, Sanjay Asthana, Cynthia Carlsson, Steven Potkin, Adrian Preda, Dana Nguyen, Pierre Tariot, Anna Burke, Nadira Trncic, Stephanie Reeder, Vernice Bates, Horacio Capote, Michelle Rainka, Douglas Scharre, Maria Kataki, Anahita Adeli, Earl Zimmerman, Dzintra Celmins, Alice Brown, Godfrey Pearlson, Karen Blank, Karen Anderson, Laura Flashman, Marc Seltzer, Mary Hynes, Robert Santulli, Kaycee Sink, Leslie Gordineer, Jeff Williamson, Pradeep Garg, Franklin Watkins, Brian Ott, Henry Querfurth, Geoffrey Tremont, Stephen Salloway, Paul Malloy, Stephen Correia, Howard Rosen, Bruce Miller, David Perry, Jacobo Mintzer, Kenneth Spicer, David Bachman, Nunzio Pomara, Raymundo Hernando, Antero Sarrael, Norman Relkin, Gloria Chaing, Michael Lin, Lisa Ravdin, Amanda Smith, Balebail Ashok Raj, Kristin Fargher

Research output: Contribution to journalArticle

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Abstract

The introduction of mild cognitive impairment (MCI) as a diagnostic category adds to the challenges of diagnosing Alzheimer's Disease (AD). No single marker has been proven to accurately categorize patients into their respective diagnostic groups. Thus, previous studies have attempted to develop fused predictors of AD and MCI. These studies have two main limitations. Most do not simultaneously consider all diagnostic categories and provide suboptimal fused representations using the same set of modalities for prediction of all classes. In this work, we present a combined framework, cascaded multiview canonical correlation (CaMCCo), for fusion and cascaded classification that incorporates all diagnostic categories and optimizes classification by selectively combining a subset of modalities at each level of the cascade. CaMCCo is evaluated on a data cohort comprising 149 patients for whom neurophysiological, neuroimaging, proteomic and genomic data were available. Results suggest that fusion of select modalities for each classification task outperforms (mean AUC = 0.92) fusion of all modalities (mean AUC = 0.54) and individual modalities (mean AUC = 0.90, 0.53, 0.71, 0.73, 0.62, 0.68). In addition, CaMCCo outperforms all other multi-class classification methods for MCI prediction (PPV: 0.80 vs. 0.67, 0.63).

Original languageEnglish (US)
Article number8137
JournalScientific Reports
Volume7
Issue number1
DOIs
StatePublished - Dec 1 2017

ASJC Scopus subject areas

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    Singanamalli, A., Wang, H., Madabhushi, A., Weiner, M., Aisen, P., Petersen, R., Jack, C., Jagust, W., Trojanowki, J., Toga, A., Beckett, L. A., Green, R., Saykin, A., Morris, J., Shaw, L., Kaye, J., Quinn, J., Silbert, L., Lind, B., ... Fargher, K. (2017). Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer's Disease via Fusion of Clinical, Imaging and Omic Features. Scientific Reports, 7(1), [8137]. https://doi.org/10.1038/s41598-017-03925-0