Individual subject classification for Alzheimer’s disease based on incremental learning using a spatial frequency representation of cortical thickness data.
NeuroImage. 2012-02-01; 59(3): 2217-2230
DOI: 10.1016/j.neuroimage.2011.09.085
Read on PubMed
Cho Y, Seong JK, Jeong Y, Shin SY; Alzheimer’s Disease Neuroimaging Initiative.
Collaborators: Saradha A, Abdi H, Abdulkadir A, Acharya D, Achuthan A, Adluru N,
Aghajanian J, Agrusti A, Agyemang A, Ahdidan J, Ahmad D, Ahmed S, Aisen P,
Akhondi-Asl A, Aksu Y, Alberca R, Alcauter S, Alexander D, Alin A, Almeida F,
Alvarez-Linera J, Amlien I, Anand S, Anderson D, Ang A, Angersbach S, Ansarian R,
Aoyama E, Appannah A, Arfanakis K, Armor T, Arrighi M, Arumughababu SV, Arunagiri
V, Ashe-McNalley C, Ashford W, Le Page A, Avants B, Aviv R, Awasthi S, Ayache N,
Ayan-Oshodi M, Ayhan M, Sumana BV, Babic T, Baek Y, Bagepally B, Baird G, Baker
J, Baker S, Bakker A, Barbash S, Bard J, Barker W, Bartlett J, Baruchin A,
Battaglini I, Bauer C, Bayley P, Beck I, Becker J, Becker JA, Beckett L, Bednar
M, Bedner A, Beg MF, Bekris L, Belaroussi B, Belloch V, Belmokhtar N, ben Ahmed
O, Bender JD, Benois-Pineau J, Bhaskar U, Bienkowska K, Biffi A, Bigler E, Bilgic
B, Bishop C, Bittner D, Black S, Bloss C, Bocti C, Bohorquez A, Bokde A, Boone J,
Boppana M, Borrie M, Bourgeat P, Bouttout H, Bowes M, Bowman D, Bowman G, Bracard
S, Braskie M, Braunewell K, Breitner J, Bresell A, Brewer J, Brickhouse M,
Brickman A, Britschgi M, Broadbent S, Brogren J, Brunton S, Buchsbaum M, Buckley
C, Buerger K, Bunce D, Burnham S, Burns J, Burton D, Burzykowski T, Butler T,
Cabeza R, Caffery T, Cairns N, Callhoff J, Calvini P, Carbotti A, Carle A,
Carmasin J, Carmichael O, Carvalho J, Casabianca J, Casanova R, Casey A, Cash D,
Cataldo R, Cedarbaum J, Cella M, Celsis P, Chakravarty M, Chang I, Chao L, Charil
A, Che-Wei C, Chemali Z, Chen K, Chen S, Chen R, Chen Q, Chen JT, Chen G, Chen J,
Chen W, Cheng WC, Cheng X, Cherkas Y, Chertkow H, Cheung V, Cheung C, Chiang G,
Chiao P, Chibane MB, Chida N, Chin S, Ching C, Chisholm J, Cho C, Cho Y, Choe J,
Choubey S, Chowbina S, Christensen AL, Ciocia G, Clark D, Clark C, Clarkson M,
Clerc S, Clunie D, Coen M, Coimbra A, Compton D, Coppola G, Coubard O, Coulin S,
Cover KS, Crane P, Crans G, Croop R, Crowther D, Crum W, Cui Y, Curry C, Cutter
G, Da L, Daliri MR, Damato VD, Darby E, Darkner S, Davatzikos C, DavidPrakash B,
Davidson C, Davis M, de Bruijne M, De Meyer G, De Nunzio G, DeCarli C, Dechairo
B, DeDuck K, Dehghan H, Delfino M, Della Rosa PA, Dellavedova L, Delpassand E,
Delrieu J, DeOrchis V, Carron DD, Desjardins B, deToledo-Morrell L, Devanand D,
Devanarayan V, Devier D, Devous M, Dgetluck N, Di J, Di X, Diaz-Arrastia R,
Dickerson B, Dickie DA, Dill V, Ding X, Dinov I, Dobosh B, Dobson H, Dodge H,
Dolman A, Dolmo BC, Donohue M, Dore V, Dorflinger E, Dowling M, Dragicevic N,
Dubal D, Duchesne S, Duff K, Dukart J, Durazzo T, Dutta J, DWors R, Earl N, Edula
G, Elcoroaristizabal X, Emahazion T, Endres C, Epstein N, Ereshefsky L, Eskildsen
S, Espinosa A, Esposito M, Ewers M, Falcone G, Fan Y, Fan J, Fan L, Farahibozorg
S, Farb N, Fardo D, Farias S, Farnum M, Farrer L, Fatke B, Faux N, Feldman H,
Feldman S, Feldman B, Félix Z, Fennema-Notestine C, Fernandes M, Fernandez E,
Ferreira MJ, Ferrer E, Fetterman B, Figurski M, Fillit H, Finch S, Fiot JB,
Flenniken D, Fletcher E, Flores C, Longmire CF, Focke N, Forman M, Forsythe A,
Fox S, Fox-Bosetti S, Foxhall S, Franko E, Freeman R, Friedrich CM, Friesenhahn
M, Frisoni G, Fritzsche K, Fujimoto Y, Fujiwara K, Fullerton T, Gaffour Y, Galvin
B, Gamst A, Gao S, Garg G, Gaser C, Gastineau E, Gattaz W, Gaubert M, Gauthier S,
Gavett B, Ge T, Gemme G, Geraci J, Gholipour F, Ghosh D, Ghosh S, Gieschke R,
Gill R, Gillespie W, Gitelman D, Gkontra X, Gleason C, Glymour MM, Godbey M, Gold
B, Goldberg T, Goldman J, Gonzalez-Beltran A, Goodro R, Gore C, Gorriz JM, Goto
M, Grachev I, Gradkowski W, Grandey E, Grasela T, Gray K, Greenberg B, Greicius
M, Grill J, Gross A, Gross A, Grydeland H, Guignot I, Guo Q, Guo LH, Guo H, Gupta
V, Guyot J, Habeck C, Habte F, Haight T, Hajaj C, Hajiesmaeili M, Hajjar I,
Hammarstrom P, Hampel H, Han D, Han J, Han Z, Hanna Y, Hao Y, Hardy P, Harvey D,
Hasan MK, Hayashi T, Haynes JD, He H, He Y, Head D, Heckemann R, Heegaard N,
Heidebrink J, Hellyer P, Helwig M, Henderson D, Herholz K, Herskovits AZ, Hess C,
Hildenbrand M, MIng AY, Hobart J, Hochstetler H, Hofer S, Hoffman J, Holder D,
Hollingworth P, Holmes R, Hong Q, Honigberg L, Hope T, Hoppin J, Hot P, Hou Y,
Hsieh H, Hsu A, Hu X, Hu M, Hu W, Hua WY, Huang S, Huang F, Huang Z, Huang CJ,
Huang CC, Huang J, Hubbard R, Huentelman M, Huppertz HJ, Hurko O, Hurt S,
Hutchins J, Hwang S, Hyun J, Ifeachor E, Iglesias M, Ikari Y, Ikonomidou V, Iman
A, Imani F, Immermann F, Inlow M, Inoue L, Insel P, Irizarry M, Ishibashi T,
Ishii K, Ismail S, Ito K, Iturria-Medina Y, Iwatsubo T, Jacks A, Jacobson M,
Jacqmin P, Jaffe C, Jagust W, Janousova E, Jara H, Jasperse B, Jedynak B,
Jefferson A, Jennings JR, Jenq J, Jessen W, Jia F, Jiang T, Jiao Y, JIng H,
Johnson K, Johnson S, Johnson DK, Johnson J, Jones G, Jones M, Jones R, Joshi S,
Jouvent E, Juengling F, Julin P, Junjie Z, Kabilan M, Kadish B, Kairui Z, Kam HJ,
Kamboh MI, Kamer A, Kanakaraj S, Kanchev V, Kaneko T, Kaneta T, Kang H, Kang JH,
Kang J, Karageorgiou E, Karantzoulis S, Karlawish J, Katz E, Kaushik SS, Kauwe J,
Kawakami H, Kawashima S, Kaye E, Kazemi S, Ke H, Kelleher T, Kennedy R, Keogh B,
Kerchner G, Kerr D, Keshava N, Khalil I, Khalil A, Khondker Z, Kihara T, Killeen
N, Killiany R, Kim D, Kim H, Kim S, Kim JH, Kim A, Kim JH, Kimberg D, Kimura T,
King R, Kirby J, Kirsch W, Klimas M, Kline R, Kling M, Klopfenstein E, Koen J,
Koikkalainen J, Kokomoor A, Kong X, Koppel J, Korolev I, Kotran N, Kowalczyk A,
Krahnke T, Krams M, Kuceyeski A, Kuhl D, Kumar V, Roy PK, Kuo J, Labrish C, Lai
S, Lakatos A, Lalonde F, Lam OK, Lampron A, Landau S, Lane R, Lane B, Langbaum J,
Langford D, Lanius V, Latella M, Leahy R, Lee Ja, Lee D, Lee N, Lee S, Lee D, Lee
G, Lefkimmiatis S, Lemaitre H, Lenfant P, Lenz R, Leong J, Leoutsakos JM, Leung
YY, Levey A, Li R, Li X, Li W, Li X, Li M, Li L, Li J, Li G, Li Q, Li Y, Li J, Li
J, Li Y, Li S, Liang K, Liang K, Liang P, Liang L, Liao W, Liaquat S, Liberman G,
Lin L, Lin AL, Lin F, Liu T, Liu D, Liu L, Liu H, Liu S, Liu T, Liu X, Liu S, Liu
L, Liu W, Liu G, Liu T, Liu Y, Liu C, Lo R, Lobanov V, Lockhart A, Loewenstein D,
Logovinsky V, Long M, Long Z, Long X, Looi J, Lu H, Lu PH, Lucena N, Lukas C,
Lukic A, Luo L, Luo X, Luo X, Lynch J, Ma SM, Mackin S, Mada M, Madabhushi A,
Maglio S, Mahanta MS, Maikusa N, Maldjian J, Mandal I, Manjon J, Mantri N,
Manzour A, Marchewka A, Marcus D, Margolin R, Marrett S, Marshall G, Gonzelez AM,
Torteya AM, Mather M, Mathis C, Mattei P, Matthews D, McArdle J, McCarroll S,
McEvoy L, McGeown W, McGinnis S, McGonigle J, McIntyre J, McLaren D, McQuail J,
Meadowcroft M, Meda S, Melie-Garcia L, Melrose R, Mendelson A, Mendez M, Menendez
E, Meng M, Meredith J, Metti A, Meyer C, Mez J, Mickael G, Miftahof R, Mikula M,
Miller M, Millikin C, Mintun M, Mirza M, Mistridis P, Mitchell M, Mitsis E, Mon
A, Moore D, Morabito FC, Birgani PM, Moratal D, Morimoto B, Mormino E, Morris J,
Mortamet B, Moscato P, Mueller K, Mueller S, Mukherjee S, Mulder E, Mungas D,
Munir K, Murayama S, Murphy M, Myers A, Sairam N, Nagata K, Nair A, Nativio R,
Nazarparvar B, Nazeri A, Nejad L, Nekooei S, Nettiksimmons J, Neu S, Ng YB,
Nguyen N, Nichols T, Nicodemus K, Niecko T, Nielsen C, Nishio T, Nordstrom M,
Noshad S, Notomi K, Novak N, Nutakki GC, O’Bryant S, Obisesan T, Oh J, Okonkwo O,
Olde Rikkert M, Oliveira A, Oliveira J, Oliver R, Olmos S, Oltra J, Ortner M,
Osadebey M, Ostrowitzki S, Overholser R, Anishiya P, Chitra PK, Pa J, Palanisamy
P, Pan S, Pan Z, Pande Y, Pardo J, Pardoe H, Park SH, Park S, Park L, Park H,
Park MH, Parker C, Patel Y, Patil A, Patil M, Pawlak M, Payoux P, Pearson J, Pell
G, Peng Y, Pennec X, Pepin Jl, Pereira F, Perneczky R, Petitti D, Petrella J,
Peyrat JM, Ngoc PT, Phillips J, Nicole P, Pian WT, Pierson R, Piovezan M,
Pipitone J, Pirraglia E, Planes X, Podhorski A, Pollari M, Pomara N, Pontecorvo
M, Popov V, Poppenk J, Posner H, Potkin S, Potter G, Potter E, Poulin S, Prastawa
M, Prince J, Priya A, Pruessner J, Qiu W, Qu A, Qualls CD, Quarg P, Quinlan J,
Rabbia M, Rajagovindan R, Rajeesh R, Rallabandi VP, Ramadubramani V, Ramage A,
Ramirez A, Randolph C, Rao A, Rao H, Rao D, Raubertas R, Ray D, Razak H, Reed B,
Reid A, Reilhac A, Reiner P, Reinsberger C, Restrepo L, Retico A, Rhatigan L,
Rhinn H, Rhoades E, Ribbens A, Richard E, Richards J, Richter M, Riddle W,
Ridgway G, Ries M, Ringman J, Rischall M, Rizk-Jackson A, Rizzi M, Robieson W,
Rodriguez L, Rodriguez-Vieitez E, Rogalski E, Rogers E, Balderrama JR, Rokicki J,
Romero K, Rorden C, Rosand J, Rosen O, Rosenberg P, Roubini E, Rousseau F, Rowe
C, Rubin D, Rubright J, Rucinski M, Ruiz A, Rulseh A, Rusinek H, Ryan L, Saad A,
Sabuncu M, Sahuquillo J, Said Y, Saito N, Sakata M, Salama M, Salazar D, Salter
H, Saman S, Sanchez L, Sanders E, Sankar T, Santhamma S, Sarnel H, Sasaki T,
Sasaya T, Sato H, Sattlecker M, Saumier D, Savio A, Saykin A, Scanlon B, Scharre
D, Schegerin M, Schmand B, Schmansky N, Schmidt-Wilcke T, Schramm H, Schuerch M,
Schwartz C, Schwartz E, Schwarz A, Schwarz J, Selnes P, Sembritzki K, Senjem M,
Sevigny J, Sfikas G, Sghedoni R, Shah SK, Shahbaba B, Shams S, Shankle W,
Shattuck D, Shaw L, Sheela J, Shen J, Shen Q, Shen W, Shen Q, Shera D, Sherman J,
Sherva R, Shi J, Shi Y, Shi F, Shokouhi S, Shukla V, Shulman J, Sideris K, Siegel
R, Silveira M, Silverman D, Sim I, Simak A, Simmons A, Simoes R, Simon A, Simon
M, Simpson I, Singh N, Singh SP, Sinha N, Siuciak J, Sjögren N, Skinner J, Smith
M, Smith C, Smyth T, Snow S, Snyder P, Soares H, Soldan A, Soldea O, Solomon A,
Solomon P, Som S, Song Z, Song S, Sosova I, Soydemir M, Spampinato MV, Speier W,
Sperling R, Spiegel R, Spies L, Springate B, Staff R, Steffener J, Stern Y,
Stokman H, Straw J, Stricker N, Stühler E, Styren S, Subramanian V, Suen S,
Sugishita M, Sukkar R, Sun Y, Sun J, Sun Y, Sundell K, Suzuki A, Svetnik V, Swan
M, Symons S, Szigeti K, Szoeke C, Sørensen L, Genish T, Takahasi T, Takeuchi T,
Tanaka S, Tanaka R, Tanchi C, Tancredi D, Tang Q, Tarnow E, Tartaglia MC, Tarver
E, Tassy D, Tauber C, Taylor-Reinwald L, Teipel S, Teng E, Terriza F, Thambisetty
M, Thames A, Thatavarti RS, Thiele F, Thomas C, Thomas R, Thomas B, Thompson P,
Thompson W, Thornton-Wells T, Thorvaldsson V, Thurfjell L, Tokuda T, Toledo JB,
Tölli T, Toma A, Tomita N, Toro R, Torrealdea P, Tosto G, Tosun D, Tousian M,
Toussaint P, Toyoshiba H, Tractenberg RE, Triggs T, Trittschuh E, Trojanowski J,
Trotta G, Huu TT, Truran D, Tsanas A, Tsang C, Tufail A, Tung J, Turken A, Ueda
Y, Uematsu D, Ullrich L, Venkataraju KU, Umar N, Ungar L, Uzunbas G, Van de Nes
J, van der Brug M, van der Lijn F, Van Hecke W, Van Horn J, Van Leemput K, Van
Train K, Varkuti B, Vasanawala M, Veeraraghavan H, Vemuri P, Verma M, Videbaek C,
Vidoni E, Villanueva-Meyer J, Vinyes G, Visser PJ, Vitek M, Vogel S, Voineskos A,
Vos S, Vounou M, Wade S, Walsh A, Wan H, Wang T, Wang YM, Wang W, Wang A, Wang S,
Wang L, Wang L, Wang Y, Wang LS, Wang L, Wang A, Wang Y, Wang X, Wang Z, Wang T,
Ward M, Ward A, Watanabe T, Watson D, Webb D, Wefel J, Weiner M, Westlye LT,
Wheland D, Whitcher B, White B, Whitlow C, Wilhelmsen K, Wilmot B, Wilson L,
Wimsatt M, Wingo T, Wirth M, Wishart H, Wiste H, Wolf H, Wolke I, Wolz R, Wong K,
Woo J, Woo E, Woods L, Worth A, Wu Y, Wu L, Wu E, Wyman B, Xiao G, Xie S, Xu J,
Xu G, Xu S, Xu S, Xu Y, Xu YZ, Yamada T, Yamashita F, Yan P, Yan Y, Yang G, Yang
W, Yang E, Yang HD, Yang J, Yang CY, Yang Z, Yang E, Yassa M, Yavorsky C, Ye BS,
Ye L, Ye J, Yee L, Ying S, Yokoyama T, Young S, Young J, Younhyun J, Yu D, Yu S,
Yu CQ, Yu P, Yu D, Yuan Y, Yuan G, Yuan K, Yuen B, Yushkevich P, Zaborszky L,
Zagorodnov V, Zagorski M, Zahodne L, Zarei M, Zawadzki R, Zeitzer J, Zelinski E,
Zeskind B, Zhan S, Zhang J, Zhang L, Zhang Z, Zhang L, Zhang Z, Zhang D, Zhang H,
Zhang X, Zhang T, Zhang P, Zhao J, Zhao Q, Zhao P, Zhen X, Zhijun Y, Zhou L, Zhou
B, Zhou Y, Zhou S, Zhu H, Zhu W, Zhu W, Zhu X, Ziegler G, Zilka S, Zisserman A,
Zito G, Zu C, Zulfigar A.
Patterns of brain atrophy measured by magnetic resonance structural imaging have
been utilized as significant biomarkers for diagnosis of Alzheimer’s disease
(AD). However, brain atrophy is variable across patients and is non-specific for
AD in general. Thus, automatic methods for AD classification require a large
number of structural data due to complex and variable patterns of brain atrophy.
In this paper, we propose an incremental method for AD classification using
cortical thickness data. We represent the cortical thickness data of a subject in
terms of their spatial frequency components, employing the manifold harmonic
transform. The basis functions for this transform are obtained from the
eigenfunctions of the Laplace-Beltrami operator, which are dependent only on the
geometry of a cortical surface but not on the cortical thickness defined on it.
This facilitates individual subject classification based on incremental learning.
In general, methods based on region-wise features poorly reflect the detailed
spatial variation of cortical thickness, and those based on vertex-wise features
are sensitive to noise. Adopting a vertex-wise cortical thickness representation,
our method can still achieve robustness to noise by filtering out high frequency
components of the cortical thickness data while reflecting their spatial
variation. This compromise leads to high accuracy in AD classification. We
utilized MR volumes provided by Alzheimer’s Disease Neuroimaging Initiative
(ADNI) to validate the performance of the method. Our method discriminated AD
patients from Healthy Control (HC) subjects with 82% sensitivity and 93%
specificity. It also discriminated Mild Cognitive Impairment (MCI) patients, who
converted to AD within 18 months, from non-converted MCI subjects with 63%
sensitivity and 76% specificity. Moreover, it showed that the entorhinal cortex
was the most discriminative region for classification, which is consistent with
previous pathological findings. In comparison with other classification methods,
our method demonstrated high classification performance in both categories, which
supports the discriminative power of our method in both AD diagnosis and AD
prediction.
Copyright © 2011 Elsevier Inc. All rights reserved.
DOI: 10.1016/j.neuroimage.2011.09.085
PMCID: PMC5849264
PMID: 22008371 [Indexed for MEDLINE]