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Sperling, Reisa Anne

0000-0003-1535-6133

Mayo Clinic

Harvard University

Citations 94

Predicting missing biomarker data in a longitudinal study of Alzheimer disease
Lo, Raymond Y. , Jagust, William J. , Aisen, Paul , Gamst, Anthony, Soares, Holly , Montine, Tom, Thomas, Ronald G. , Walter, Sarah , Felmlee, Joel P. , Schuff, Norbert, Alexander, Gene, DeCarli, Charles , Bandy, Dan, Korecka, Magdalena , Crawford, Karen , Neu, Scott, Kornak, John , Buckholtz, Neil, Dolen, Sara, Schneider, Lon S. , Pawluczyk, Sonia, Spann, Bryan M., Brewer, James, Vanderswag, Helen, Heidebrink, Judith L. , Petersen, Ronald , Johnson, Kris , Doody, Rachelle S., Villanueva‐Meyer, Javier , Chowdhury, Munir , Bell, Karen L. , Mintun, Mark A., Schneider, Stacy, Marson, Daniel , Griffith, Randall, Grossman, Hillel, Marzloff, George, Toledo-Morrell, Leylade, Duara, Ranjan , Varón, Daniel , Roberts, Peggy, Albert, Marilyn S. , Pedroso, Julia, Toroney, Jaimie, Santi, Susan M De, Doraiswamy, P. Murali , Petrella, Jeffrey R. , Aiello, Marilyn, Clark, Christopher M. , Pham, Cassie, Nuñez, Jessica, Smith, Charles D., Given, Curtis A., Hardy, Peter , Oakley, MaryAnn, Simpson, Donna M., Ismail, M. Saleem , Brand, Connie, Richard, Jennifer, Mulnard, Ruth A., Thai, Gaby , Mc-Adams-Ortiz, Catherine, Martin-Cook, Kristen, Devous, Michael D. , Cellar, Janet S., Anderson, Heather S., Laubinger, Mary M., Bartzokis, George, Lu, Po H. , MBBCH, Neill R Graff-Radford, Parfitt, Francine, Farlow, Martin R. , Herring, Scott, Hake, Ann Marie , Dyck, Christopher H. van , MacAvoy, Martha G., Benincasa, Amanda L., Chertkow, Howard, Bergman, Howard , Hosein, Chris, Graham, Simon J. , Caldwell, Curtis, Hsiung, Ging‐Yuek Robin , Assaly, Michele, Kertesz, Andrew, Rogers, John, Trost, Dick, Bernick, Charles , Munic, Donna, Wu, Chuang‐Kuo, Johnson, Nancy , Mesulam, Marsel, Sadowsky, Carl, Villena, Teresa, Turner, Scott, Johnson, Kathleen, Behan, Kelly E., Johnson, Keith A. , Rosen, Allyson , Tinklenberg, Jared, Ashford, Wes, Sabbagh, Marwan N. , Connor, Donald J., Jacobson, Sandra A. , Jayam‐Trouth, Annapurni , Lerner, Alan J. , Hudson, Leon, Ogrocki, Paula, Fletcher, Evan, Kittur, Smita, Mirje, Seema, Borrie, Michael, Lee, T‐Y, Bartha, Dr Rob, Asthana, Sanjay , Carlsson, Cynthia M., Potkin, Steven, Preda, Adrian , Tariot, Pierre N. , Fleisher, Adam , Reeder, Stephanie, Bates, Vernice, Capote, Horacio, Rainka, Michelle, Hendin, Barry , Kataki, Maria , Zimmerman, Earl A. , Celmins, Dzintra, Brown, Alice D., Marenberg, Marjorie E., Rovner, Barry W. , Anderson, Karen, Santulli, Robert B. , Englert, Jessica, Williamson, Jeff D. , Watkins, Franklin, Ott, Brian R. , Cohen, Ronald, Salloway, Stephen , Malloy, Paul, Correia, Stephen , Rosen, Howard J. , Mintzer, Jacobo , Jack, Clifford R. , Toga, Arthur W. , Beckett, Laurel , Green, Robert C. , Donohue, Michael , Dale, Anders M. , Bernstein, Matt A. , Fox, Nick C. , Thompson, Paul M. , Chen, Kewei , Morris, John C. , Lee, Virginia M.‐Y. , Harvey, Danielle , Saykin, Andrew J. , Foroud, Tatiana , Potkin, Steven G. , Shen, Li , Kaye, Jeffrey , Quinn, Joseph F. , Lord, Joanne L. , Stern, Yaakov , Honig, Lawrence S. , Clark, David , Tang, Cheuk Ying , Shah, Raj C. , Duara, Ranjan , Rusinek, Henry , Leon, Mony J. de , López, Oscar L. , Diaz‐Arrastia, Ramon , Levey, Allan I. , Lah, James J. , Burns, Jeffrey M. , Silverman, Daniel H.S. , Johnson, Heather K. , Black, Sandra E. , Feldman, Howard , Martínez, Walter Fabián , Sperling, Reisa Anne , Rentz, Dorene M. , Killiany, Ronald , Norbash, Alexander , Nair, Anil K. , Obisesan, Thomas O. , Wang, Paul C. , Carmichael, Owen , Johnson, Sterling C. , Nguyen, Dana R. , Reeder, Stephanie, Scharre, Douglas W. , Gandy, Sam , Pearlson, Godfrey D. , Sink, Kaycee M. , Miller, Bruce L. , Preda, Adrian , Hsiung, Gink-Yuek

Neurology | April 5, 2012 | Volume: 78 | Issue: 18 | Pages: 1376-1382

10.1212/wnl.0b013e318253d5b3 Get It

Testing the Right Target and Right Drug at the Right Stage
Jack, Clifford R. , Aisen, Paul, Sperling, Reisa Anne , Jack, Clifford R

Science Translational Medicine | December 2, 2011 | Volume: 3 | Issue: 111 | Pages: No page available

10.1126/scitranslmed.3002609 Get It

Drugs aimed at the initial stages of the Alzheimer’s disease pathology should be tested a decade before the onset of dementia.
Steps to standardization and validation of hippocampal volumetry as a biomarker in clinical trials and diagnostic criterion for Alzheimer's disease
Jack, Clifford R. , Barkhof, Frederik , Bernstein, Matt A. , Cantillon, Marc, Cole, Patricia E., DeCarli, Charles , Dubois, Bruno , Duchesne, Simon , Fox, Nick C. , Frisoni, Giovanni B. , Hampel, Harald , Hill, David , Johnson, Keith A. , Scheltens, Philip , Schwarz, Adam J. , Suhy, Joyce, Thompson, Paul M. , Weiner, Michael W. , Foster, Norman L. , Frisoni, Giovanni B. , Mangin, Jean‐François , Sperling, Reisa Anne , DeCarli, Charles , Bernstein, Matt A , Jack, Clifford R , Thompson, Paul M , Barkhof, Frederik , Scheltens, Philip , Fox, Nick C

Alzheimer's & Dementia | July 25, 2011 | Volume: 7 | Issue: 4 | Pages: 474

10.1016/j.jalz.2011.04.007 Get It

BackgroundThe promise of Alzheimer's disease biomarkers has led to their incorporation in new diagnostic criteria and in therapeutic trials; however, significant barriers exist to widespread use. Chief among these is the lack of internationally accepted standards for quantitative metrics. Hippocampal volumetry is the most widely studied quantitative magnetic resonance imaging measure in Alzheimer's disease and thus represents the most rational target for an initial effort at standardization.Methods and ResultsThe authors of this position paper propose a path toward this goal. The steps include the following: (1) Establish and empower an oversight board to manage and assess the effort, (2) adopt the standardized definition of anatomic hippocampal boundaries on magnetic resonance imaging arising from the European Alzheimer's Disease Centers–Alzheimer's Disease Neuroimaging Initiative hippocampal harmonization effort as a reference standard, (3) establish a scientifically appropriate, publicly available reference standard data set based on manual delineation of the hippocampus in an appropriate sample of subjects (Alzheimer's Disease Neuroimaging Initiative), and (4) define minimum technical and prognostic performance metrics for validation of new measurement techniques using the reference standard data set as a benchmark.ConclusionsAlthough manual delineation of the hippocampus is the best available reference standard, practical application of hippocampal volumetry will require automated methods. Our intent was to establish a mechanism for credentialing automated software applications to achieve internationally recognized accuracy and prognostic performance standards that lead to the systematic evaluation and then widespread acceptance and use of hippocampal volumetry. The standardization and assay validation process outlined for hippocampal volumetry was envisioned as a template that could be applied to other imaging biomarkers.