Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease

Meiyan Huang; Wei Yang; Qianjin Feng; Wufan Chen; Michael W. Weiner; Paul Aisen; Ronald Petersen; Clifford R. Jack; William Jagust; John Q. Trojanowki; Arthur W. Toga; Laurel Beckett; Robert C. Green; Andrew J. Saykin; John C. Morris; Leslie M. Shaw; Jeffrey Kaye; Joseph Quinn; Lisa Silbert; Betty Lind; Raina Carter; Sara Dolen; Lon S. Schneider; Sonia Pawluczyk; Mauricio Beccera; Liberty Teodoro; Bryan M. Spann; James Brewer; Helen Vanderswag; Adam Fleisher; Judith L. Heidebrink; Joanne L. Lord; Sara S. Mason; Colleen S. Albers; David Knopman; Kris Johnson; Rachelle S. Doody; Javier Villanueva-Meyer; Munir Chowdhury; Susan Rountree; Mimi Dang; Yaakov Stern; Lawrence S. Honig; Karen L. Bell; Beau Ances; Maria Carroll; Mary L. Creech; Erin Franklin; Mark A. 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 C. Shah; Leyla DeToledo-Morrell; Ranjan Duara; Daniel Varon; Maria T. Greig; Peggy Roberts; Marilyn Albert; Chiadi Onyike; Daniel D'Agostino; Stephanie Kielb; James E. Galvin; Brittany Cerbone; Christina A. Michel; Dana M. Pogorelec; Henry Rusinek; Mony J. De Leon; Lidia Glodzik; Susan De Santi; P. Murali Doraiswamy; Jeffrey R. Petrella; Salvador Borges-Neto; Terence Z. Wong; Edward Coleman; Charles D. Smith; Greg Jicha; Peter Hardy; Partha Sinha; Elizabeth Oates; Gary Conrad; Anton P. Porsteinsson; Bonnie S. Goldstein; Kim Martin; Kelly M. Makino; M. Saleem Ismail; Connie Brand; Ruth A. Mulnard; Gaby Thai; Catherine Mc-Adams-Ortiz; Kyle Womack; Dana Mathews; Mary Quiceno; Allan I. Levey; James J. Lah; Janet S. Cellar; Jeffrey M. Burns; Russell H. Swerdlow; William M. Brooks; Liana Apostolova; Kathleen Tingus; Ellen Woo; Daniel H.S. Silverman; Po H. Lu; George Bartzokis; Neill R. Graff-Radford; Francine Parfitt; Tracy Kendall; Heather Johnson; Martin R. Farlow; Ann Marie Hake; Jared R. Brosch; Scott Herring; Cynthia Hunt; Christopher H. Van Dyck; Richard E. Carson; Martha G. 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; Brigid Reynolds; Reisa A. Sperling; Keith A. Johnson; Gad Marshall; Jerome Yesavage; Joy L. Taylor; Barton Lane; Allyson Rosen; Jared Tinklenberg; Marwan N. Sabbagh; Christine M. Belden; Sandra A. Jacobson; Sherye A. Sirrel; Neil Kowall; Ronald Killiany; Andrew E. Budson; Alexander Norbash; Patricia Lynn Johnson; Thomas O. Obisesan; Saba Wolday; Joanne Allard; Alan Lerner; Paula Ogrocki; Curtis Tatsuoka; Parianne Fatica; Pauline Maillard; John Olichney; Charles DeCarli; Owen Carmichael; Smita Kittur; Michael Borrie; T. Y. Lee; Rob Bartha; Sterling Johnson; Sanjay Asthana; Cynthia M. Carlsson; Steven G. Potkin; Adrian Preda; Dana Nguyen; Pierre Tariot; Anna Burke; Nadira Trncic; Stephanie Reeder; Vernice Bates; Horacio Capote; Michelle Rainka; Douglas W. Scharre; Maria Kataki; Anahita Adeli; Earl A. Zimmerman; Dzintra Celmins; Alice D. Brown; Godfrey D. Pearlson; Karen Blank; Karen Anderson; Laura A. Flashman; Marc Seltzer; Mary L. Hynes; Robert B. Santulli; Kaycee M. Sink; Leslie Gordineer; Jeff D. Williamson; Pradeep Garg; Franklin Watkins; Brian R. Ott; Henry Querfurth; Geoffrey Tremont; Stephen Salloway; Paul Malloy; Stephen Correia; Howard J. Rosen; Bruce L. 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

doi:10.1038/srep39880

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease

Meiyan Huang, Wei Yang, Qianjin Feng, Wufan Chen, Michael W. Weiner, Paul Aisen, Ronald Petersen, Clifford R. Jack, William Jagust, John Q. Trojanowki, Arthur W. Toga, Laurel Beckett, Robert C. Green, Andrew J. Saykin, John C. Morris, Leslie M. Shaw, Jeffrey Kaye, Joseph Quinn, Lisa Silbert, Betty LindRaina Carter, Sara Dolen, Lon S. Schneider, Sonia Pawluczyk, Mauricio Beccera, Liberty Teodoro, Bryan M. Spann, James Brewer, Helen Vanderswag, Adam Fleisher, Judith L. Heidebrink, Joanne L. Lord, Sara S. Mason, Colleen S. Albers, David Knopman, Kris Johnson, Rachelle S. Doody, Javier Villanueva-Meyer, Munir Chowdhury, Susan Rountree, Mimi Dang, Yaakov Stern, Lawrence S. Honig, Karen L. Bell, Beau Ances, Maria Carroll, Mary L. Creech, Erin Franklin, Mark A. 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 C. Shah, Leyla DeToledo-Morrell, Ranjan Duara, Daniel Varon, Maria T. Greig, Peggy Roberts, Marilyn Albert, Chiadi Onyike, Daniel D'Agostino, Stephanie Kielb, James E. Galvin, Brittany Cerbone, Christina A. Michel, Dana M. Pogorelec, Henry Rusinek, Mony J. De Leon, Lidia Glodzik, Susan De Santi, P. Murali Doraiswamy, Jeffrey R. Petrella, Salvador Borges-Neto, Terence Z. Wong, Edward Coleman, Charles D. Smith, Greg Jicha, Peter Hardy, Partha Sinha, Elizabeth Oates, Gary Conrad, Anton P. Porsteinsson, Bonnie S. Goldstein, Kim Martin, Kelly M. Makino, M. Saleem Ismail, Connie Brand, Ruth A. Mulnard, Gaby Thai, Catherine Mc-Adams-Ortiz, Kyle Womack, Dana Mathews, Mary Quiceno, Allan I. Levey, James J. Lah, Janet S. Cellar, Jeffrey M. Burns, Russell H. Swerdlow, William M. Brooks, Liana Apostolova, Kathleen Tingus, Ellen Woo, Daniel H.S. Silverman, Po H. Lu, George Bartzokis, Neill R. Graff-Radford, Francine Parfitt, Tracy Kendall, Heather Johnson, Martin R. Farlow, Ann Marie Hake, Jared R. Brosch, Scott Herring, Cynthia Hunt, Christopher H. Van Dyck, Richard E. Carson, Martha G. 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, Brigid Reynolds, Reisa A. Sperling, Keith A. Johnson, Gad Marshall, Jerome Yesavage, Joy L. Taylor, Barton Lane, Allyson Rosen, Jared Tinklenberg, Marwan N. Sabbagh, Christine M. Belden, Sandra A. Jacobson, Sherye A. Sirrel, Neil Kowall, Ronald Killiany, Andrew E. Budson, Alexander Norbash, Patricia Lynn Johnson, Thomas O. Obisesan, Saba Wolday, Joanne Allard, Alan Lerner, Paula Ogrocki, Curtis Tatsuoka, Parianne Fatica, Pauline Maillard, John Olichney, Charles DeCarli, Owen Carmichael, Smita Kittur, Michael Borrie, T. Y. Lee, Rob Bartha, Sterling Johnson, Sanjay Asthana, Cynthia M. Carlsson, Steven G. Potkin, Adrian Preda, Dana Nguyen, Pierre Tariot, Anna Burke, Nadira Trncic, Stephanie Reeder, Vernice Bates, Horacio Capote, Michelle Rainka, Douglas W. Scharre, Maria Kataki, Anahita Adeli, Earl A. Zimmerman, Dzintra Celmins, Alice D. Brown, Godfrey D. Pearlson, Karen Blank, Karen Anderson, Laura A. Flashman, Marc Seltzer, Mary L. Hynes, Robert B. Santulli, Kaycee M. Sink, Leslie Gordineer, Jeff D. Williamson, Pradeep Garg, Franklin Watkins, Brian R. Ott, Henry Querfurth, Geoffrey Tremont, Stephen Salloway, Paul Malloy, Stephen Correia, Howard J. Rosen, Bruce L. 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

Producción científica: Article › revisión exhaustiva

45 Citas (Scopus)

Resumen

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.

Idioma original	English (US)
Número de artículo	39880
Publicación	Scientific reports
Volumen	7
DOI	https://doi.org/10.1038/srep39880
Estado	Published - ene 12 2017
Publicado de forma externa	Sí

ASJC Scopus subject areas

General

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10.1038/srep39880

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Huang, M., Yang, W., Feng, Q., Chen, W., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J. C., Shaw, L. M., Kaye, J., Quinn, J., Silbert, L., ... Fargher, K. (2017). Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease. Scientific reports, 7, Artículo 39880. https://doi.org/10.1038/srep39880

Huang, M, Yang, W, Feng, Q, Chen, W, Weiner, MW, Aisen, P, Petersen, R, Jack, CR, Jagust, W, Trojanowki, JQ, Toga, AW, Beckett, L, Green, RC, Saykin, AJ, Morris, JC, Shaw, LM, Kaye, J, Quinn, J, Silbert, L, Lind, B, Carter, R, Dolen, S, Schneider, LS, Pawluczyk, S, Beccera, M, Teodoro, L, Spann, BM, Brewer, J, Vanderswag, H, Fleisher, A, Heidebrink, JL, Lord, JL, Mason, SS, Albers, CS, Knopman, D, Johnson, K, Doody, RS, Villanueva-Meyer, J, Chowdhury, M, Rountree, S, Dang, M, Stern, Y, Honig, LS, Bell, KL, Ances, B, Carroll, M, Creech, ML, Franklin, E, Mintun, MA, Schneider, S, Oliver, A, Marson, D, Griffith, R, Clark, D, Geldmacher, D, Brockington, J, Roberson, E, Love, MN, Grossman, H, Mitsis, E, Shah, RC, DeToledo-Morrell, L, Duara, R, Varon, D, Greig, MT, Roberts, P, Albert, M, Onyike, C, D'Agostino, D, Kielb, S, Galvin, JE, Cerbone, B, Michel, CA, Pogorelec, DM, Rusinek, H, De Leon, MJ, Glodzik, L, De Santi, S, Murali Doraiswamy, P, Petrella, JR, Borges-Neto, S, Wong, TZ, Coleman, E, Smith, CD, Jicha, G, Hardy, P, Sinha, P, Oates, E, Conrad, G, Porsteinsson, AP, Goldstein, BS, Martin, K, Makino, KM, Saleem Ismail, M, Brand, C, Mulnard, RA, Thai, G, Mc-Adams-Ortiz, C, Womack, K, Mathews, D, Quiceno, M, Levey, AI, Lah, JJ, Cellar, JS, Burns, JM, Swerdlow, RH, Brooks, WM, Apostolova, L, Tingus, K, Woo, E, Silverman, DHS, Lu, PH, Bartzokis, G, Graff-Radford, NR, Parfitt, F, Kendall, T, Johnson, H, Farlow, MR, Hake, AM, Brosch, JR, Herring, S, Hunt, C, Van Dyck, CH, Carson, RE, MacAvoy, MG, Varma, P, Chertkow, H, Bergman, H, Hosein, C, Black, S, Stefanovic, B, Caldwell, C, Hsiung, GYR, Feldman, H, Mudge, B, Assaly, M, Finger, E, Pasternack, S, Rachisky, I, Trost, D, Kertesz, A, Bernick, C, Munic, D, Mesulam, MM, Lipowski, K, Weintraub, S, Bonakdarpour, B, Kerwin, D, Wu, CK, Johnson, N, Sadowsky, C, Villena, T, Turner, RS, Reynolds, B, Sperling, RA, Johnson, KA, Marshall, G, Yesavage, J, Taylor, JL, Lane, B, Rosen, A, Tinklenberg, J, Sabbagh, MN, Belden, CM, Jacobson, SA, Sirrel, SA, Kowall, N, Killiany, R, Budson, AE, Norbash, A, Lynn Johnson, P, Obisesan, TO, Wolday, S, Allard, J, Lerner, A, Ogrocki, P, Tatsuoka, C, Fatica, P, Maillard, P, Olichney, J, DeCarli, C, Carmichael, O, Kittur, S, Borrie, M, Lee, TY, Bartha, R, Johnson, S, Asthana, S, Carlsson, CM, Potkin, SG, Preda, A, Nguyen, D, Tariot, P, Burke, A, Trncic, N, Reeder, S, Bates, V, Capote, H, Rainka, M, Scharre, DW, Kataki, M, Adeli, A, Zimmerman, EA, Celmins, D, Brown, AD, Pearlson, GD, Blank, K, Anderson, K, Flashman, LA, Seltzer, M, Hynes, ML, Santulli, RB, Sink, KM, Gordineer, L, Williamson, JD, Garg, P, Watkins, F, Ott, BR, Querfurth, H, Tremont, G, Salloway, S, Malloy, P, Correia, S, Rosen, HJ, Miller, BL, Perry, D, Mintzer, J, Spicer, K, Bachman, D, Pomara, N, Hernando, R, Sarrael, A, Relkin, N, Chaing, G, Lin, M, Ravdin, L, Smith, A, Raj, BA & Fargher, K 2017, 'Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease', Scientific reports, vol. 7, 39880. https://doi.org/10.1038/srep39880

@article{ba2c91a10dca4d8bb8ebb53e09934bf5,

title = "Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease",

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.",

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

note = "Publisher Copyright: {\textcopyright} The Author(s) 2017.",

year = "2017",

month = jan,

day = "12",

doi = "10.1038/srep39880",

language = "English (US)",

volume = "7",

journal = "Scientific reports",

issn = "2045-2322",

publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease

AU - Huang, Meiyan

AU - Yang, Wei

AU - Feng, Qianjin

AU - Chen, Wufan

AU - Weiner, Michael W.

AU - Aisen, Paul

AU - Petersen, Ronald

AU - Jack, Clifford R.

AU - Jagust, William

AU - Trojanowki, John Q.

AU - Toga, Arthur W.

AU - Beckett, Laurel

AU - Green, Robert C.

AU - Saykin, Andrew J.

AU - Morris, John C.

AU - Shaw, Leslie M.

AU - Kaye, Jeffrey

AU - Quinn, Joseph

AU - Silbert, Lisa

AU - Lind, Betty

AU - Carter, Raina

AU - Dolen, Sara

AU - Schneider, Lon S.

AU - Pawluczyk, Sonia

AU - Beccera, Mauricio

AU - Teodoro, Liberty

AU - Spann, Bryan M.

AU - Brewer, James

AU - Vanderswag, Helen

AU - Fleisher, Adam

AU - Heidebrink, Judith L.

AU - Lord, Joanne L.

AU - Mason, Sara S.

AU - Albers, Colleen S.

AU - Knopman, David

AU - Johnson, Kris

AU - Doody, Rachelle S.

AU - Villanueva-Meyer, Javier

AU - Chowdhury, Munir

AU - Rountree, Susan

AU - Dang, Mimi

AU - Stern, Yaakov

AU - Honig, Lawrence S.

AU - Bell, Karen L.

AU - Ances, Beau

AU - Carroll, Maria

AU - Creech, Mary L.

AU - Franklin, Erin

AU - Mintun, Mark A.

AU - Schneider, Stacy

AU - Oliver, Angela

AU - Marson, Daniel

AU - Griffith, Randall

AU - Clark, David

AU - Geldmacher, David

AU - Brockington, John

AU - Roberson, Erik

AU - Love, Marissa Natelson

AU - Grossman, Hillel

AU - Mitsis, Effie

AU - Shah, Raj C.

AU - DeToledo-Morrell, Leyla

AU - Duara, Ranjan

AU - Varon, Daniel

AU - Greig, Maria T.

AU - Roberts, Peggy

AU - Albert, Marilyn

AU - Onyike, Chiadi

AU - D'Agostino, Daniel

AU - Kielb, Stephanie

AU - Galvin, James E.

AU - Cerbone, Brittany

AU - Michel, Christina A.

AU - Pogorelec, Dana M.

AU - Rusinek, Henry

AU - De Leon, Mony J.

AU - Glodzik, Lidia

AU - De Santi, Susan

AU - Murali Doraiswamy, P.

AU - Petrella, Jeffrey R.

AU - Borges-Neto, Salvador

AU - Wong, Terence Z.

AU - Coleman, Edward

AU - Smith, Charles D.

AU - Jicha, Greg

AU - Hardy, Peter

AU - Sinha, Partha

AU - Oates, Elizabeth

AU - Conrad, Gary

AU - Porsteinsson, Anton P.

AU - Goldstein, Bonnie S.

AU - Martin, Kim

AU - Makino, Kelly M.

AU - Saleem Ismail, M.

AU - Brand, Connie

AU - Mulnard, Ruth A.

AU - Thai, Gaby

AU - Mc-Adams-Ortiz, Catherine

AU - Womack, Kyle

AU - Mathews, Dana

AU - Quiceno, Mary

AU - Levey, Allan I.

AU - Lah, James J.

AU - Cellar, Janet S.

AU - Burns, Jeffrey M.

AU - Swerdlow, Russell H.

AU - Brooks, William M.

AU - Apostolova, Liana

AU - Tingus, Kathleen

AU - Woo, Ellen

AU - Silverman, Daniel H.S.

AU - Lu, Po H.

AU - Bartzokis, George

AU - Graff-Radford, Neill R.

AU - Parfitt, Francine

AU - Kendall, Tracy

AU - Johnson, Heather

AU - Farlow, Martin R.

AU - Hake, Ann Marie

AU - Brosch, Jared R.

AU - Herring, Scott

AU - Hunt, Cynthia

AU - Van Dyck, Christopher H.

AU - Carson, Richard E.

AU - MacAvoy, Martha G.

AU - Varma, Pradeep

AU - Chertkow, Howard

AU - Bergman, Howard

AU - Hosein, Chris

AU - Black, Sandra

AU - Stefanovic, Bojana

AU - Caldwell, Curtis

AU - Hsiung, Ging Yuek Robin

AU - Feldman, Howard

AU - Mudge, Benita

AU - Assaly, Michele

AU - Finger, Elizabeth

AU - Pasternack, Stephen

AU - Rachisky, Irina

AU - Trost, Dick

AU - Kertesz, Andrew

AU - Bernick, Charles

AU - Munic, Donna

AU - Mesulam, Marek Marsel

AU - Lipowski, Kristine

AU - Weintraub, Sandra

AU - Bonakdarpour, Borna

AU - Kerwin, Diana

AU - Wu, Chuang Kuo

AU - Johnson, Nancy

AU - Sadowsky, Carl

AU - Villena, Teresa

AU - Turner, Raymond Scott

AU - Reynolds, Brigid

AU - Sperling, Reisa A.

AU - Johnson, Keith A.

AU - Marshall, Gad

AU - Yesavage, Jerome

AU - Taylor, Joy L.

AU - Lane, Barton

AU - Rosen, Allyson

AU - Tinklenberg, Jared

AU - Sabbagh, Marwan N.

AU - Belden, Christine M.

AU - Jacobson, Sandra A.

AU - Sirrel, Sherye A.

AU - Kowall, Neil

AU - Killiany, Ronald

AU - Budson, Andrew E.

AU - Norbash, Alexander

AU - Lynn Johnson, Patricia

AU - Obisesan, Thomas O.

AU - Wolday, Saba

AU - Allard, Joanne

AU - Lerner, Alan

AU - Ogrocki, Paula

AU - Tatsuoka, Curtis

AU - Fatica, Parianne

AU - Maillard, Pauline

AU - Olichney, John

AU - DeCarli, Charles

AU - Carmichael, Owen

AU - Kittur, Smita

AU - Borrie, Michael

AU - Lee, T. Y.

AU - Bartha, Rob

AU - Johnson, Sterling

AU - Asthana, Sanjay

AU - Carlsson, Cynthia M.

AU - Potkin, Steven G.

AU - Preda, Adrian

AU - Nguyen, Dana

AU - Tariot, Pierre

AU - Burke, Anna

AU - Trncic, Nadira

AU - Reeder, Stephanie

AU - Bates, Vernice

AU - Capote, Horacio

AU - Rainka, Michelle

AU - Scharre, Douglas W.

AU - Kataki, Maria

AU - Adeli, Anahita

AU - Zimmerman, Earl A.

AU - Celmins, Dzintra

AU - Brown, Alice D.

AU - Pearlson, Godfrey D.

AU - Blank, Karen

AU - Anderson, Karen

AU - Flashman, Laura A.

AU - Seltzer, Marc

AU - Hynes, Mary L.

AU - Santulli, Robert B.

AU - Sink, Kaycee M.

AU - Gordineer, Leslie

AU - Williamson, Jeff D.

AU - Garg, Pradeep

AU - Watkins, Franklin

AU - Ott, Brian R.

AU - Querfurth, Henry

AU - Tremont, Geoffrey

AU - Salloway, Stephen

AU - Malloy, Paul

AU - Correia, Stephen

AU - Rosen, Howard J.

AU - Miller, Bruce L.

AU - Perry, David

AU - Mintzer, Jacobo

AU - Spicer, Kenneth

AU - Bachman, David

AU - Pomara, Nunzio

AU - Hernando, Raymundo

AU - Sarrael, Antero

AU - Relkin, Norman

AU - Chaing, Gloria

AU - Lin, Michael

AU - Ravdin, Lisa

AU - Smith, Amanda

AU - Raj, Balebail Ashok

AU - Fargher, Kristin

PY - 2017/1/12

Y1 - 2017/1/12

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85009350821&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009350821&partnerID=8YFLogxK

U2 - 10.1038/srep39880

DO - 10.1038/srep39880

M3 - Article

C2 - 28079104

AN - SCOPUS:85009350821

SN - 2045-2322

VL - 7

JO - Scientific reports

JF - Scientific reports

M1 - 39880

ER -

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease

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