Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification
Authors: Hett Kilian , Ta Vinh-Thong , Catheline Gwenaëlle , Tourdias Thomas , Manjón José V. , Coupé Pierrick ,   Alzheimer’s Disease Neuroimaging Initiative, Weiner Michael W. , Aisen Paul , Petersen Ronald , Jack Clifford R. , Jagust William , Trojanowki John Q. , Toga Arthur W. , Beckett Laurel , Green Robert C. , Saykin Andrew J. , Morris John , Shaw Leslie M. , Khachaturian Zaven , Sorensen Greg , Carrillo Maria , Kuller Lew , Raichle Marc , Paul Steven , Davies Peter , Fillit Howard , Hefti Franz , Holtzman Davie , Mesulam M. Marcel , Potter William , Snyder Peter , Montine Tom , Thomas Ronald G. , Donohue Michael , Walter Sarah , Sather Tamie , Jiminez Gus , Balasubramanian Archana B. , Mason Jennifer , Sim Iris , Harvey Danielle , Bernstein Matthew , Fox Nick , Thompson Paul , Schuff Norbert , DeCArli Charles , Borowski Bret , Gunter Jeff , Senjem Matt , Vemuri Prashanthi , Jones David , Kantarci Kejal , Ward Chad , Koeppe Robert A. , Foster Norm , Reiman Eric M. , Chen Kewei , Mathis Chet , Landau Susan , Cairns Nigel J. , Householder Erin , Taylor-Reinwald Lisa , Lee Virginia , Korecka Magdalena , Figurski Michal , Crawford Karen , Neu Scott , Foroud Tatiana M. , Potkin Steven , Shen Li , Faber Kelley , Kim Sungeun , Nho Kwangsik , Thal Lean , Frank Richard , Hsiao John , Kaye Jeffrey , Quinn Joseph , Silbert Lisa , Lind Betty , Carter Raina , Dolen Sara , Ances Beau , Carroll Maria , Creech Mary L. , Franklin Erin , Mintun Mark A. , Schneider Stacy , Oliver Angela , Schneider Lon S. , Pawluczyk Sonia , Beccera Mauricio , Teodoro Liberty , Spann Bryan M. , Brewer James , Vanderswag Helen , Fleisher Adam , Marson Daniel , Griffith Randall , Clark David , Geldmacher David , Brockington John , Roberson Erik , Love Marissa Natelson , Heidebrink Judith L. , Lord Joanne L. , Mason Sara S. , Albers Colleen S. , Knopman David , Johnson Kris , Grossman Hillel , Mitsis Effie , Shah Raj C. , deToledo-Morrell Leyla , Doody Rachelle S. , Villanueva-Meyer Javier , Chowdhury Munir , Rountree Susan , Dang Mimi , Duara Ranjan , Varon Daniel , Greig Maria T. , Roberts Peggy , Stern Yaakov , Honig Lawrence S. , Bell Karen L. , Albert Marilyn , Onyike Chiadi , D’Agostino Daniel , Kielb Stephanie , Galvin James E. , Cerbone Brittany , Michel Christina A. , Pogorelec Dana M. , Rusinek Henry , de Leon Mony J , Glodzik Lidia , De Santi Susan , Womack Kyle , Mathews Dana , Quiceno Mary , Doraiswamy P. Murali , Petrella Jeffrey R. , Borges-Neto Salvador , Wong Terence Z. , Coleman Edward , Levey Allan I. , Lah James J. , Cella Janet S. , Burns Jeffrey M. , Swerdlow Russell H. , Brooks William M. , Arnold Steven E. , Karlawish Jason H. , Wolk David , Clark Christopher M. , Apostolova Liana , Tingus Kathleen , Woo Ellen , Silverman Daniel H. S. , Lu Po H. , Bartzokis George , Smith Charles D. , Jicha Greg , Hardy Peter , Sinha Partha , Oates Elizabeth , Conrad Gary , Graff-Radford Neill R , Parfitt Francine , Kendall Tracy , Johnson Heather , Lopez Oscar L. , Oakley MaryAnn , Simpson Donna M. , Farlow Martin R. , Hake Ann Marie , Matthews Brandy R. , Brosch Jared R. , Herring Scott , Hunt Cynthia , Porsteinsson Anton P. , Goldstein Bonnie S. , Martin Kim , Makino Kelly M. , Ismail M. Saleem , Brand Connie , Mulnard Ruth A. , Thai Gaby , Mc-Adams-Ortiz Catherine , van Dyck Christopher H. , Carson Richard E. , MacAvoy Martha G. , Varma Pradeep , Chertkow Howard , Bergman Howard , Hosein Chris , Black Sandra , Stefanovic Bojana , Caldwell Curtis , Hsiung Ging-Yuek Robin , Feldman Howard , Mudge Benita , Assaly Michele , Finger Elizabeth , Pasternack Stephen , Rachisky Irina , Trost Dick , Kertesz Andrew , Bernick Charles , Munic Donna , Lipowski Kristine , Weintraub M. A. Sandra , Bonakdarpour Borna , Kerwin Diana , Wu Chuang-Kuo , Johnson Nancy , Sadowsky Carl , Villena Teresa , Turner Raymond Scott , Johnson Kathleen , Reynolds Brigid , Sperling Reisa A. , Johnson Keith A. , Marshall Gad , Yesavage Jerome , Taylor Joy L. , Lane Barton , Rosen Allyson , Tinklenberg Jared , Sabbagh Marwan N. , Belden Christine M. , Jacobson Sandra A. , Sirrel Sherye A. , Kowall Neil , Killiany Ronald , Budson Andrew E. , Norbash Alexander , Johnson Patricia Lynn , Obisesan Thomas O. , Wolday Saba , Allard Joanne , Lerner Alan , Ogrocki Paula , Tatsuoka Curtis , Fatica Parianne , Fletcher Evan , Maillard Pauline , Olichney John , Carmichael Owen , Kittur Smita , Borrie Michael , Lee T-Y , Bartha Rob , Johnson Sterling , Asthana Sanjay , Carlsson Cynthia M. , Preda Adrian , Nguyen Dana , Tariot Pierre , Burke Anna , Trncic Nadira , Fleisher Adam , Reeder Stephanie , Bates Vernice , Capote Horacio , Rainka Michelle , Scharre Douglas W. , Kataki Maria , Adeli Anahita , Zimmerman Earl A. , Celmins Dzintra , Brown Alice D. , Pearlson Godfrey D. , Blank Karen , Anderson Karen , Flashman Laura A. , Seltzer Marc , Hynes Mary L. , Santulli Robert B. , Sink Kaycee M. , Gordineer Leslie , Williamson Jeff D. , Garg Pradeep , Watkins Franklin , Ott Brian R. , Querfurth Henry , Tremont Geoffrey , Salloway Stephen , Malloy Paul , Correia Stephen , Rosen Howard J. , Miller Bruce L. , Perry David , Mintzer Jacobo , Spicer Kenneth , Bachman David , Finger Elizabether , Pasternak Stephen , Rachinsky Irina , Rogers John , Drost Dick , Pomara Nunzio , Hernando Raymundo , Sarrael Antero , Schultz Susan K. , Boles Ponto Laura L. , Shim Hyungsub , Smith Karen Ekstam , Relkin Norman , Chaing Gloria , Lin Michael , Ravdin Lisa , Smith Amanda , Raj Balebail Ashok , Fargher Kristin 
Published: September 2019

AbstractNumerous studies have proposed biomarkers based on magnetic resonance imaging (MRI) to detect and predict the risk of evolution toward Alzheimer’s disease (AD). Most of these methods have focused on the hippocampus, which is known to be one of the earliest structures impacted by the disease. To date, patch-based grading approaches provide among the best biomarkers based on the hippocampus. However, this structure is complex and is divided into different subfields, not equally impacted by AD. Former in-vivo imaging studies mainly investigated structural alterations of these subfields using volumetric measurements and microstructural modifications with mean diffusivity measurements. The aim of our work is to improve the current classification performances based on the hippocampus with a new multimodal patch-based framework combining structural and diffusivity MRI. The combination of these two MRI modalities enables the capture of subtle structural and microstructural alterations. Moreover, we propose to study the efficiency of this new framework applied to the hippocampal subfields. To this end, we compare the classification accuracy provided by the different hippocampal subfields using volume, mean diffusivity, and our novel multimodal patch-based grading framework combining structural and diffusion MRI. The experiments conducted in this work show that our new multimodal patch-based method applied to the whole hippocampus provides the most discriminating biomarker for advanced AD detection while our new framework applied into subiculum obtains the best results for AD prediction, improving by two percentage points the accuracy compared to the whole hippocampus.