5 results on '"Leslie Gordineer"'
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2. Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
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Sterling C. Johnson, Paul Malloy, Joy L. Taylor, Alan J. Lerner, Pradeep Garg, Pierre N. Tariot, David G. Clark, Steven G. Potkin, Franklin Watkins, Howard Bergman, Dana M. Pogorelec, Charles D. Smith, Pradeep Varma, Stephen Pasternack, Betty Lind, Saba Wolday, Douglas W. Scharre, Donna Munic, Marwan N. Sabbagh, Adam S. Fleisher, Joanne S. Allard, Cynthia Hunt, Lidia Glodzik, Charles Bernick, Daniel D'Agostino, Owen T. Carmichael, Geoffrey Tremont, Christopher H. van Dyck, Maria Carroll, Po Lu, Leslie Gordineer, Catherine Mc-Adams-Ortiz, Irina Rachisky, Antero Sarrael, Clifford R. Jack, David Bachman, Dick Trost, Scott Herring, Arthur W. Toga, Evan Fletcher, Christina A. Michel, Lon S. Schneider, Francine Parfitt, Kelly M. Makino, Anahita Adeli, Daniel Varon, Christine M. Belden, Nunzio Pomara, Thomas O. Obisesan, Howard Feldman, Howard Chertkow, Sandra W. Jacobson, Haibo Wang, Greg Jicha, Laura A. Flashman, George Bartzokis, Beau M. Ances, Stacy Schneider, Earl A. Zimmerman, Munir Chowdhury, Bruce L. Miller, Javier Villanueva-Meyer, Kristin Fargher, Michael W. Weiner, Dana Nguyen, Ranjan Duara, T. Y. Lee, Lisa C. Silbert, Benita Mudge, Marilyn S. Albert, James J. Lah, Janet S. Cellar, Gad A. Marshall, Michael Lin, Marc Seltzer, Leslie Shaw, Bojana Stefanovic, Daniel C. Marson, Kyle B. Womack, Liberty Teodoro, Connie Brand, Nadira Trncic, Maria Kataki, Russell H. Swerdlow, Paul S. Aisen, Brigid Reynolds, Mony J. de Leon, Sandra E. Black, Rachelle S. Doody, Paula Ogrocki, Andrew J. Saykin, Raymundo Hernando, Leyla deToledo-Morrell, Anna Burke, Sherye A. Sirrel, Henry W. Querfurth, Jeffrey R. Petrella, Norman R. Relkin, Judith L. Heidebrink, Vernice Bates, Mary L. Creech, David C. Perry, Curtis Caldwell, Sara Dolen, Anton P. Porsteinsson, Patricia Lynn Johnson, Erik D. Roberson, Effie M. Mitsis, Kathleen Johnson, John Q. Trojanowki, Raina Carter, James E. Galvin, Karen Blank, John C. Morris, Bryan M. Spann, Keith A. Johnson, Jared R. Tinklenberg, Stephen Salloway, Ronald J. Killiany, Mimi Dang, Smita Kittur, Mary Quiceno, Kaycee M. Sink, Helen Vanderswag, Erin E. Franklin, Robbartha, Kim Martin, Gaby Thai, Allyson C. Rosen, Karen L. Bell, Tracy Kendall, P. M. Doraiswamy, Kathleen Tingus, Angela Oliver, Adrian Preda, Mary L. Hynes, Laurel A. Beckett, William J. Jagust, Jeffrey M. Burns, Ronald C. Petersen, Allan I. Levey, Balebail Ashok Raj, Lawrence S. Honig, Martin R. Farlow, Richard E. Carson, Dana Mathews, David S. Knopman, Robert C. Green, Jerome A. Yesavage, Elizabeth Finger, Ann Marie Hake, David S. Geldmacher, Yaakov Stern, Raj C. Shah, M.-Marsel Mesulam, Ruth A. Mulnard, Jacobo Mintzer, Howard J. Rosen, Peggy Roberts, Joseph F. Quinn, Raymond Scott Turner, Maria T. Greig, Salvador Borges-Neto, Jeffrey Kaye, Randall Griffith, Diana R. Kerwin, Neill R. Graff-Radford, James B. Brewer, John C. Brockington, Ging-Yuek Robin Hsiung, Anant Madabhushi, Andrew E. Budson, Martha G. MacAvoy, Stephen Correia, Terence Z. Wong, Michelle Rainka, Elizabeth Oates, Alexander Norbash, Chiadi U. Onyike, Gloria Chaing, Kris Johnson, Hillel Grossman, Gary R. Conrad, Nancy Johnson, Lisa D. Ravdin, Mauricio Beccera, Reisa A. Sperling, Heather Johnson, Kristine Lipowski, Charles DeCarli, Barton Lane, Joanne L. Lord, Carl H. Sadowsky, Chris Hosein, Marissa Natelson Love, M. Ismail, Liana G. Apostolova, Dzintra Celmins, Brian R. Ott, Brittany Cerbone, Sanjay Asthana, Alice D. Brown, Neil W. Kowall, Peter A. Hardy, Andrew Kertesz, Sara S. Mason, Horacio Capote, Pauline Maillard, Stephanie Kielb, Henry Rusinek, Ellen Woo, Jeff D. Williamson, Susan De Santi, Amanda Smith, John M Olichney, Michele Assaly, Karen S. Anderson, Parianne Fatica, Brandy R. Matthews, Michael Borrie, Susan Rountree, Chuang Kuo Wu, Curtis Tatsuoka, Teresa Villena, Asha Singanamalli, Borna Bonakdarpour, Colleen S. Albers, Cynthia M. Carlsson, Bonnie S. Goldstein, Sonia Pawluczyk, Edward Coleman, Kenneth M. Spicer, Jared R. Brosch, William Brooks, Partha Sinha, Stephanie Reeder, Daniel Silverman, Robert B. Santulli, Godfrey D. Pearlson, Mark A. Mintun, and Sandra Weintraub
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0301 basic medicine ,Male ,Proteomics ,Science ,Neuroimaging ,Disease ,Sensitivity and Specificity ,Article ,03 medical and health sciences ,0302 clinical medicine ,Text mining ,Alzheimer Disease ,medicine ,Humans ,Cognitive Dysfunction ,Set (psychology) ,Aged ,Aged, 80 and over ,Multidisciplinary ,Modalities ,business.industry ,Pattern recognition ,Alzheimer’s Disease Neuroimaging Initiative ,Genomics ,Models, Theoretical ,medicine.disease ,030104 developmental biology ,Categorization ,Case-Control Studies ,Medicine ,Female ,Artificial intelligence ,Alzheimer's disease ,business ,Canonical correlation ,030217 neurology & neurosurgery ,Algorithms ,Biomarkers - 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).
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- 2017
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3. Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states
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Jerome A. Yesavage, Thomas O. Obisesan, Ann Marie Hake, Yaakov Stern, Betty Lind, Daniel D'Agostino, Daniel Varon, Christine M. Belden, Evan Fletcher, Jef Williamson, Howard Feldman, Pauline Maillard, Stephanie Kielb, Dana Mathews, Henry Rusinek, Sonia Pawluczyk, Donna Munic, Michele Assaly, Ines Mahjoub, Barton Lane, Andrew J. Saykin, Raymundo Hernando, Randall Grifth, Paul S. Aisen, Brittany Cerbone, Saba Wolday, Douglas W. Scharre, Karen S. Anderson, Sara S. Mason, Marwan N. Sabbagh, Geofrey Tremont, Stacy Schneider, Marilyn S. Albert, Tracy Kendall, P. M. Doraiswamy, Antero Sarrael, Kenneth M. Spicer, George Bartzokis, Parianne Fatica, Christopher H. van Dyck, Maria Carroll, Benita Mudge, Beau M. Ances, Brandy R. Matthews, Allyson C. Rosen, Chiadi U. Onyike, Gloria Chaing, Helen Vanderswag, Javier Villanueva-Meyer, Stephanie Reeder, Erin E. Franklin, Sandra Weintraub, Liberty Teodoro, Connie Brand, Arthur W. Toga, Mony J. de Leon, Sandra E. Black, Robert C. Green, Russell H. Swerdlow, Leyla deToledo-Morrell, Bryan M. Spann, Judith L. Heidebrink, Leslie Shaw, Ruth A. Mulnard, Rob Bartha, Sterling C. Johnson, Kristin Fargher, Susan De Santi, Curtis Caldwell, Rachelle S. Doody, Erik D. Roberson, Norman R. Relkin, Kathleen Johnson, Raj C. Shah, Kris Johnson, Diana Kerwin, M.-Marsel Mesulam, Howard J. Rosen, Peggy Roberts, Michael Borrie, Martin R. Farlow, Steven G. Potkin, Reisa A. Sperling, John Q. Trojanowki, Amanda Smith, James J. Lah, Mary L. Creech, Janet S. Cellar, Michael Lin, Terence Z. Wong, Howard Bergman, Dana M. Pogorelec, Gaby Thai, Jacobo Mintzer, Raina Carter, Heather Johnson, Francine Parftt, Karen Blank, Daniel C. Marson, Nancy Johnson, Susan Rountree, Michelle Rainka, Elizabeth Oates, Stephen Correia, John C. Morris, Alan J. Lerner, Pradeep Garg, Mauricio Beccera, Mary L. Hynes, Chuang Kuo Wu, Curtis Tatsuoka, Brian R. Ott, Joy L. Taylor, Mohamed Ali Mahjoub, Adrian Preda, Islem Rekik, Ronald C. Petersen, Kathleen Tingus, Vernice Bates, Irina Rachisky, Neill Graf-Radford, Alexander Norbash, Teresa Villena, Paul Malloy, Cliford Jack, Pierre N. Tariot, Anton P. Porsteinsson, Jefrey Burns, Owen Carmichael, Maria T. Greig, Marc Seltzer, Pradeep Varma, Jefrey Petrella, James E. Galvin, Joseph F. Quinn, Franklin Watkins, John M Olichney, Joanne L. Lord, Raymond Scott Turner, Adam S. Fleisher, Salvador Borges-Neto, James B. Brewer, Carl H. Sadowsky, Andrew E. Budson, Martha G. MacAvoy, Joanne S. Allard, L. Schneider, Stephen Salloway, Kim Martin, Mary Quiceno, Kaycee M. Sink, Sanjay Asthana, Laurel A. Beckett, Alice D. Brown, David S. Knopman, Neil W. Kowall, Efe Mitsis, Elizabeth Finger, David C. Perry, Bojana Stefanovic, David S. Geldmacher, Andrew Kertesz, Cynthia M. Carlsson, Charles Bernick, Earl A. Zimmerman, Bonnie S. Goldstein, Dzintra Celmins, Paula Ogrocki, Daniel H.S. Silverman, David G. Clark, Charles D. Smith, Nunzio Pomara, Stephen Pasternack, Howard Chertkow, Christina A. Michel, Sandra W. Jacobson, Po Lu, Peter A. Hardy, Greg Jicha, David Bachman, Laura A. Flashman, Munir Chowdhury, Bruce L. Miller, Ging Yuek Robin Hsiung, Horacio Capote, Gad A. Marshall, Brigid Reynolds, Jefrey Kaye, Patricia Lynn Johnson, Ronald J. Killiany, Mimi Dang, Smita Kittur, Lawrence S. Honig, Ranjan Duara, T. Y. Lee, Keith A. Johnson, Karen L. Bell, Allan I. Levey, Scott Herring, Michael W. Weiner, Ellen Woo, Dana Nguyen, Robert B. Santulli, Godfrey D. Pearlson, Mark A. Mintun, Sara Dolen, Jared R. Tinklenberg, Edward Coleman, Jared R. Brosch, John C. Brockington, William Brooks, Partha Sinha, M. Ismail, Balebail Ashok Raj, Lisa D. Ravdin, Kristine Lipowski, Charles DeCarli, Borna Bonakdarpour, Colleen S. Albers, Chris Hosein, Marissa Natelson Love, Kyle B. Womack, Maria Kataki, Nadira Trncic, Anna Burke, Sherye A. Sirrel, Henry W. Querfurth, Liana G. Apostolova, Angela Oliver, William J. Jagust, Richard E. Carson, Cynthia Hunt, Lidia Glodzik, Hillel Grossman, Gary R. Conrad, Leslie Gordineer, Catherine Mc-Adams-Ortiz, Dick Trost, Kelly M. Makino, Anahita Adeli, and Lisa C. Silbert
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Right entorhinal cortex ,Models, Neurological ,lcsh:Medicine ,Biology ,Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Alzheimer Disease ,medicine ,Humans ,Middle frontal gyrus ,Dementia ,Patient treatment ,lcsh:Science ,Cognitive impairment ,Multidisciplinary ,Extramural ,lcsh:R ,Brain ,Diagnostic marker ,Alzheimer’s Disease Neuroimaging Initiative ,medicine.disease ,Magnetic Resonance Imaging ,Brain region ,lcsh:Q ,Cognition Disorders ,Neuroscience ,Biomarkers ,030217 neurology & neurosurgery - Abstract
Accurate diagnosis of mild cognitive impairment (MCI) before conversion to Alzheimer’s disease (AD) is invaluable for patient treatment. Many works showed that MCI and AD affect functional and structural connections between brain regions as well as the shape of cortical regions. However, ‘shape connections’ between brain regions are rarely investigated -e.g., how morphological attributes such as cortical thickness and sulcal depth of a specific brain region change in relation to morphological attributes in other regions. To fill this gap, we unprecedentedly design morphological brain multiplexes for late MCI/AD classification. Specifically, we use structural T1-w MRI to define morphological brain networks, each quantifying similarity in morphology between different cortical regions for a specific cortical attribute. Then, we define a brain multiplex where each intra-layer represents the morphological connectivity network of a specific cortical attribute, and each inter-layer encodes the similarity between two consecutive intra-layers. A significant performance gain is achieved when using the multiplex architecture in comparison to other conventional network analysis architectures. We also leverage this architecture to discover morphological connectional biomarkers fingerprinting the difference between late MCI and AD stages, which included the right entorhinal cortex and right caudal middle frontal gyrus.
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- 2018
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4. Pattern Discovery in Brain Imaging Genetics via SCCA Modeling with a Generic Non-convex Penalty
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Arthur W. Toga, Leslie M. Shaw, Kristin Fargher, Mary L. Creech, Richard Frank, Po H. Lu, Daniel C. Marson, Karen Blank, Kristine Lipowski, Charles DeCarli, Vernice Bates, Marc Seltzer, Norm Foster, Matt A. Bernstein, Janet S. Cellar, David G. Clark, Sonia Pawluczyk, David A. Wolk, Charles D. Smith, Neill R. Graff-Radford, Stephen Pasternack, Warren Barker, Paul Malloy, Chris Hosein, Steven E. Arnold, Paul S. Aisen, Adam Schwartz, Kenneth M. Spicer, Marissa Natelson Love, Iris Sim, Brendan J Kelly, Danielle J Harvey, Howard Feldman, David Bachman, Clifford R. Jack, Scott Herring, David C. Perry, Pierre N. Tariot, Chiadi U. Onyike, Paul M. Thompson, Gloria Chaing, Stephanie Reeder, David T.W. Jones, Anton P. Porsteinsson, Joanne L. Lord, Pauline Maillard, Lori A. Daiello, Kris Johnson, Steven G. Potkin, Reisa A. Sperling, Carl H. Sadowsky, Stephanie Kielb, Mohammed O. Sheikh, Jason Karlawish, Kim Martin, Allyson C. Rosen, Susan M. Landau, Dana Nguyen, Oscar L. Lopez, Kejal Kantarci, Neil Buckholtz, Christopher M. Clark, Laurel A. Beckett, Jingwen Yan, Michael Borrie, Greg Sorensen, Amanda Smith, Chad Ward, Bret J. Borowski, Stephen Salloway, Mary Quiceno, Kwangsik Nho, Marilyn S. Albert, Ann Marie Hake, Kaycee M. Sink, Howard Bergman, Lei Guo, Terence Z. Wong, Michael W. Weiner, William Z. Potter, David S. Knopman, M. Saleem Ismail, Alan J. Lerner, Pradeep Garg, Susan Rountree, Michal J. Figurski, Michelle Rainka, Kim Poki-Walker, Irina Rachisky, Chet Mathis, Elizabeth Finger, Jeff D. Williamson, Jeffrey R. Petrella, Prashanthi Vemuri, Gus Jiminez, Keith A. Johnson, Sara Dolen, Curtis Tatsuoka, Nadira Trncic, Pradeep Varma, Raj C. Shah, Karen L. Bell, Elizabeth Oates, Robert A. Koeppe, Adam S. Fleisher, Daniel D'Agostino, Joanne S. Allard, Jeffrey Kaye, Jared R. Tinklenberg, Saba Wolday, Leon J. Thal, Allan I. Levey, Douglas W. Scharre, James B. Brewer, Randall Griffith, Cynthia M. Carlsson, Nunzio Pomara, Howard Chertkow, Charles Bernick, Kefei Liu, Howard J. Rosen, Ranjan Duara, Howard Fillit, T. Y. Lee, Alexander Norbash, Bonnie S. Goldstein, Benita Mudge, John A. Rogers, John M Olichney, Leyla deToledo-Morrell, John C. Brockington, Nick C. Fox, Greg Jicha, Lei Du, Erik D. Roberson, Effie M. Mitsis, Kathleen Johnson, Vesna Sossi, Munir Chowdhury, Bruce L. Miller, Dana Mathews, Jeffrey M. Burns, Steven M. Paul, Balebail Ashok Raj, Chuang Kuo Wu, Karen Ekstam Smith, Xiaohui Yao, Hyungsub Shim, Ging-Yuek Robin Hsiung, Anna Burke, Sherye A. Sirrel, Teresa Villena, Geoffrey Tremont, Susan K. Schultz, Barton Lane, Sandra Jacobson, Tatiana Foroud, Michele Assaly, Sara S. Mason, Zaven S. Khachaturian, Archana B. Balasubramanian, James J. Lah, George Bartzokis, Parianne Fatica, Michael Lin, Laura A. Flashman, M. Marcel Mesulam, Dzintra Celmins, Brandy R. Matthews, Brian R. Ott, Gad A. Marshall, Lisa D. Ravdin, Sandra Weintraub, Sterling C. Johnson, Liberty Teodoro, Lisa Taylor-Reinwald, Karen Crawford, Christine M. Belden, Connie Brand, Bryan M. Spann, Marc Raichle, Ki Won Nam, Joy L. Taylor, Virginia M.-Y. Lee, Victoria Shibley, Franklin Watkins, T. J. Montine, Russell H. Swerdlow, Martin J. Sadowski, Hristina Koleva, Peter A. Hardy, Judith L. Heidebrink, Diana R. Kerwin, Antero Sarrael, Curtis Caldwell, Beau M. Ances, John K. Hsiao, Javier Villanueva-Meyer, Sandra E. Black, Horacio Capote, Eric M. Reiman, Jacobo Mintzer, Richard E. Carson, Stephen Correia, Valory N. Pavlik, Jeff Gunter, Anaztasia Ulysse, Lon S. Schneider, Brigid Reynolds, Patricia Lynn Johnson, Bojana Stefanovic, Kathleen Tingus, John Q. Trojanowki, Ronald J. Killiany, Mimi Dang, Raina Carter, Franz Hefti, Andrew E. Budson, Martha G. MacAvoy, Daniel H.S. Silverman, Smita Kittur, John C. Morris, Donna M. Simpson, Norbert Schuff, Peter Davies, Lawrence S. Honig, Joseph F. Quinn, Ronald G. Thomas, Raymond Scott Turner, Salvador Borges-Neto, Kyle B. Womack, Maria Kataki, Emily Rogalski, Angela Oliver, Maria C. Carrillo, Betty Lind, Lew Kuller, P. Murali Doraiswamy, William J. Jagust, Mary Ann Oakley, Donna Munic, Liana G. Apostolova, David M. Holtzman, Adrian Preda, Robert B. Santulli, Marwan N. Sabbagh, Godfrey D. Pearlson, Mark A. Mintun, Mary L. Hynes, Borna Bonakdarpour, Colleen S. Albers, Ronald C. Petersen, Devon Gessert, Scott C. Neu, Hillel Grossman, Gary R. Conrad, Kelley Faber, Edward Coleman, Karen E. Anderson, Owen Carmichael, Jared R. Brosch, William Brooks, Partha Sinha, Leslie Gordineer, Martin R. Farlow, Thomas O. Obisesan, Jennifer Mason, Kelly M. Makino, Li Shen, Shannon L. Risacher, Sungeun Kim, Lisa C. Silbert, Junwei Han, Ellen Woo, Dick Trost, Francine Parfitt, Michael C. Donohue, Sanjay Asthana, Alice D. Brown, Neil W. Kowall, Andrew Kertesz, Earl A. Zimmerman, Paula Ogrocki, Kewei Chen, Magdalena Korecka, Mrunalini Gaikwad, Nigel J. Cairns, Peter J. Snyder, Norman R. Relkin, Nancy Johnson, Mauricio Beccera, M. L. Senjem, Helen Vanderswag, Erin E. Franklin, Robert C. Green, Jerome A. Yesavage, Ann Marie Milliken, Maria T. Greig-Custo, David S. Geldmacher, Yaakov Stern, Tamie Sather, Evan Fletcher, Sarah Walter, Stacy Schneider, Rob Bartha, Rachelle S. Doody, Andrew J. Saykin, Raymundo Hernando, Christopher H. van Dyck, and Maria Carroll
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0301 basic medicine ,Male ,lcsh:Medicine ,Feature selection ,Neuroimaging ,Biology ,Polymorphism, Single Nucleotide ,Article ,Pattern Recognition, Automated ,Correlation ,03 medical and health sciences ,0302 clinical medicine ,Alzheimer Disease ,Feature (machine learning) ,Image Processing, Computer-Assisted ,Humans ,lcsh:Science ,Aged ,Genetics ,Computational model ,Multidisciplinary ,Models, Statistical ,lcsh:R ,Alzheimer’s Disease Neuroimaging Initiative ,Regression ,body regions ,030104 developmental biology ,Phenotype ,Pattern recognition (psychology) ,Multivariate Analysis ,lcsh:Q ,Female ,Canonical correlation ,030217 neurology & neurosurgery ,Algorithms ,Alzheimer's Disease Neuroimaging Initiative - Abstract
Brain imaging genetics intends to uncover associations between genetic markers and neuroimaging quantitative traits. Sparse canonical correlation analysis (SCCA) can discover bi-multivariate associations and select relevant features, and is becoming popular in imaging genetic studies. The L1-norm function is not only convex, but also singular at the origin, which is a necessary condition for sparsity. Thus most SCCA methods impose $${\ell }_{{\bf{1}}}$$ ℓ 1 -norm onto the individual feature or the structure level of features to pursuit corresponding sparsity. However, the $${\ell }_{{\bf{1}}}$$ ℓ 1 -norm penalty over-penalizes large coefficients and may incurs estimation bias. A number of non-convex penalties are proposed to reduce the estimation bias in regression tasks. But using them in SCCA remains largely unexplored. In this paper, we design a unified non-convex SCCA model, based on seven non-convex functions, for unbiased estimation and stable feature selection simultaneously. We also propose an efficient optimization algorithm. The proposed method obtains both higher correlation coefficients and better canonical loading patterns. Specifically, these SCCA methods with non-convex penalties discover a strong association between the APOE e4 rs429358 SNP and the hippocampus region of the brain. They both are Alzheimer’s disease related biomarkers, indicating the potential and power of the non-convex methods in brain imaging genetics.
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- 2017
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5. Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease
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Mary L. Hynes, Liberty Teodoro, John C. Brockington, Connie Brand, Paul Malloy, Russell H. Swerdlow, Ronald C. Petersen, Judith L. Heidebrink, Pierre N. Tariot, Curtis Caldwell, Clifford R. Jack, David G. Clark, Neill R. Graff-Radford, Charles D. Smith, Geoffrey Tremont, Ranjan Duara, Stephen Pasternack, T. Y. Lee, Owen Carmichael, Nadira Trncic, Irina Rachisky, Daniel D'Agostino, James J. Lah, Steven G. Potkin, Howard Bergman, Dana M. Pogorelec, Lon S. Schneider, Anna Burke, Sherye A. Sirrel, Henry W. Querfurth, Michael Lin, David Bachman, Edward Coleman, Michele Assaly, Allyson C. Rosen, Jeffrey M. Burns, Balebail Ashok Raj, Jared R. Brosch, Joanne L. Lord, William Brooks, Brigid Reynolds, Karen S. Anderson, Sandra Jacobson, Nunzio Pomara, Patricia Lynn Johnson, George Bartzokis, Parianne Fatica, Benita Mudge, Dana Nguyen, Carl H. Sadowsky, Michael Borrie, Qianjin Feng, Chiadi U. Onyike, Partha Sinha, Gloria Chaing, Howard Chertkow, Leyla deToledo-Morrell, Bojana Stefanovic, Richard E. Carson, Wufan Chen, Ronald J. Killiany, Mimi Dang, Thomas O. Obisesan, Christopher H. van Dyck, Maria Carroll, Gaby Thai, Arthur W. Toga, Chuang Kuo Wu, Erik D. Roberson, Effie M. Mitsis, Smita Kittur, Keith A. Johnson, Dana Mathews, Sara Dolen, Raj C. Shah, M.-Marsel Mesulam, Howard J. Rosen, Karen L. Bell, Ging-Yuek Robin Hsiung, Teresa Villena, Kris Johnson, Saba Wolday, Douglas W. Scharre, Kyle B. Womack, Maria Kataki, Barton Lane, Angela Oliver, Greg Jicha, Reisa A. Sperling, Wei Yang, David S. Geldmacher, Lawrence S. Honig, Sanjay Asthana, Janet S. Cellar, William J. Jagust, Dzintra Celmins, Susan Rountree, Christina A. Michel, Allan I. Levey, Tracy Kendall, Lisa D. Ravdin, Jared R. Tinklenberg, Brittany Cerbone, Alice D. Brown, Marilyn S. Albert, Andrew J. Saykin, Raymundo Hernando, Sandra Weintraub, John Q. Trojanowki, Raina Carter, Betty Lind, Kristin Fargher, Sterling C. Johnson, P. Murali Doraiswamy, Jeffrey R. Petrella, Neil W. Kowall, Sara S. Mason, Heather Johnson, Mary L. Creech, Stacy Schneider, Donna Munic, Liana G. Apostolova, Peter A. Hardy, Munir Chowdhury, Bruce L. Miller, Ruth A. Mulnard, Curtis Tatsuoka, Po H. Lu, Daniel C. Marson, Pauline Maillard, John C. Morris, Marwan N. Sabbagh, Jeffrey Kaye, Hillel Grossman, Gary R. Conrad, Karen Blank, Meiyan Huang, Stephanie Kielb, Andrew Kertesz, Jerome A. Yesavage, Leslie Shaw, Martin R. Farlow, Maria T. Greig, Jacobo Mintzer, Susan De Santi, David S. Knopman, Marc Seltzer, Scott Herring, Joy L. Taylor, Vernice Bates, Rob Bartha, Cynthia Hunt, Henry Rusinek, Randall Griffith, Cynthia M. Carlsson, Charles Bernick, Bonnie S. Goldstein, Rachelle S. Doody, Leslie Gordineer, Catherine Mc-Adams-Ortiz, Kim Martin, Howard Feldman, David C. Perry, Horacio Capote, Lidia Glodzik, Stephen Correia, James B. Brewer, Elizabeth Finger, Jeff D. Williamson, Franklin Watkins, Borna Bonakdarpour, Colleen S. Albers, M. Saleem Ismail, Alan J. Lerner, Daniel Varon, Christine M. Belden, Sonia Pawluczyk, Paul S. Aisen, Pradeep Garg, Kelly M. Makino, Laurel A. Beckett, Peggy Roberts, Nancy Johnson, Anahita Adeli, Terence Z. Wong, Michelle Rainka, Elizabeth Oates, Amanda Smith, Kenneth M. Spicer, Laura A. Flashman, Kristine Lipowski, Charles DeCarli, Stephanie Reeder, Mauricio Beccera, Dick Trost, Alexander Norbash, Lisa C. Silbert, Michael W. Weiner, Gad A. Marshall, Ann Marie Hake, Pradeep Varma, Francine Parfitt, Chris Hosein, Adam S. Fleisher, Marissa Natelson Love, Joanne S. Allard, Earl A. Zimmerman, Kathleen Tingus, Brian R. Ott, Joseph F. Quinn, Anton P. Porsteinsson, Paula Ogrocki, Raymond Scott Turner, Salvador Borges-Neto, James E. Galvin, Yaakov Stern, Andrew E. Budson, Martha G. MacAvoy, Daniel H.S. Silverman, Robert B. Santulli, Adrian Preda, Godfrey D. Pearlson, Mark A. Mintun, Stephen Salloway, Mary Quiceno, Kaycee M. Sink, John M Olichney, Antero Sarrael, Beau M. Ances, Javier Villanueva-Meyer, Mony J. de Leon, Sandra E. Black, Bryan M. Spann, Diana R. Kerwin, Ellen Woo, Helen Vanderswag, Erin E. Franklin, Robert C. Green, and Norman R. Relkin
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Male ,Computer science ,Neuroimaging ,Disease ,computer.software_genre ,Sensitivity and Specificity ,Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Alzheimer Disease ,Predictive Value of Tests ,mental disorders ,medicine ,Dementia ,Humans ,Cognitive Dysfunction ,Longitudinal Studies ,Cognitive impairment ,Aged ,Aged, 80 and over ,Multidisciplinary ,medicine.diagnostic_test ,business.industry ,Brain ,Pattern recognition ,Magnetic resonance imaging ,Middle Aged ,medicine.disease ,Magnetic Resonance Imaging ,Early Diagnosis ,Disease Progression ,Female ,Data mining ,Artificial intelligence ,business ,computer ,030217 neurology & neurosurgery ,Alzheimer's Disease Neuroimaging Initiative ,Follow-Up Studies - Abstract
Accurate prediction of Alzheimer’s disease (AD) is important for the early diagnosis and treatment of this condition. Mild cognitive impairment (MCI) is an early stage of AD. Therefore, patients with MCI who are at high risk of fully developing AD should be identified to accurately predict AD. However, the relationship between brain images and AD is difficult to construct because of the complex characteristics of neuroimaging data. To address this problem, we present a longitudinal measurement of MCI brain images and a hierarchical classification method for AD prediction. Longitudinal images obtained from individuals with MCI were investigated to acquire important information on the longitudinal changes, which can be used to classify MCI subjects as either MCI conversion (MCIc) or MCI non-conversion (MCInc) individuals. Moreover, a hierarchical framework was introduced to the classifier to manage high feature dimensionality issues and incorporate spatial information for improving the prediction accuracy. The proposed method was evaluated using 131 patients with MCI (70 MCIc and 61 MCInc) based on MRI scans taken at different time points. Results showed that the proposed method achieved 79.4% accuracy for the classification of MCIc versus MCInc, thereby demonstrating very promising performance for AD prediction.
- Published
- 2017
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