AUTHOR=Guo Shengwen , Lai Chunren , Wu Congling , Cen Guiyin ,  The Alzheimer's Disease Neuroimaging Initiative , Weiner Michael W. , Aisen Paul , Weiner Michael , 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 David , Mesulam M. Marcel , Potter William , Snyder Peter , Schwartz Adam , Green Robert C. , Montine Tom , Petersen Ronald , Aisen Paul , Thomas Ronald G. , Donohue Michael , Walter Sarah , Gessert Devon , Sather Tamie , Jiminez Gus , Balasubramanian Archana B. , Mason Jennifer , Sim Iris , Beckett Laurel , Harvey Danielle , Donohue Michael , Jack Clifford R. , Bernstein Matthew , Fox Nick , Thompson Paul , Schuff Norbert , DeCArli Charles , Borowski Bret , Gunter Jeff , Senjem Matt , Vemuri Prashanthi , Jones David , Kantarci Kejal , Ward Chad , Jagust William , Koeppe Robert A. , Foster Norm , Reiman Eric M. , Chen Kewei , Mathis Chet , Landau Susan , Morris John C. , Cairns Nigel J. , Franklin Erin , Taylor-Reinwald Lisa , Shaw Leslie M. , Trojanowki John Q. , Lee Virginia , Korecka Magdalena , Figurski Michal , Toga Arthur W. , Crawford Karen , Neu Scott , Saykin Andrew J. , Foroud Tatiana M. , Potkin Steven , Shen Li , Faber Kelley , Kim Sungeun , Nho Kwangsik , Weiner Michael W. , Thal Lean , Khachaturian Zaven , Thal Leon , Buckholtz Neil , Weiner Michael W. , Snyder Peter J. , Potter William , Paul Steven , Albert Marilyn , Frank Richard , Khachaturian Zaven , Hsiao John , Kaye Jeffrey , Quinn Joseph , Silbert Lisa , Lind Betty , Carter Raina , Dolen Sara , Schneider Lon S. , Pawluczyk Sonia , Becerra Mauricio , Teodoro Liberty , Spann Bryan M. , Brewer James , Vanderswag Helen , Fleisher Adam , Heidebrink Judith L. , Lord Joanne L. , Petersen Ronald , Mason Sara S. , Albers Colleen S. , Knopman David , Johnson Kris , Doody Rachelle S. , Villanueva-Meyer Javier , Pavlik Valory , Shibley Victoria , Chowdhury Munir , Rountree Susan , Dang Mimi , Stern Yaakov , Honig Lawrence S. , Bell Karen L. , Ances Beau , Morris John C. , Carroll Maria , Creech Mary L. , Franklin Erin , Mintun Mark A. , Schneider Stacy , Oliver Angela , Marson Daniel , Geldmacher David , Natelson Love Marissa , Griffith Randall , Clark David , Brockington John , Roberson Erik , Grossman Hillel , Mitsis Effie , Shah Raj C. , deToledo-Morrell Leyla , Duara Ranjan , Greig-Custo Maria T. , Barker Warren , Albert Marilyn , Onyike Chiadi , D'Agostino Daniel , Kielb Stephanie , Sadowski Martin , Sheikh Mohammed O. , Anaztasia Ulysse , Mrunalini Gaikwad , Doraiswamy P. Murali , Petrella Jeffrey R. , Borges-Neto Salvador , Wong Terence Z. , Coleman Edward , Arnold Steven E. , Karlawish Jason H. , Wolk David A. , Clark Christopher M. , Smith Charles D. , Jicha Greg , Hardy Peter , Sinha Partha , Oates Elizabeth , Conrad Gary , Lopez Oscar L. , Oakley MaryAnn , Simpson Donna M. , Porsteinsson Anton P. , Goldstein Bonnie S. , Martin Kim , Makino Kelly M. , Ismail M. Saleem , Brand Connie , Potkin Steven G. , Preda Adrian , Nguyen Dana , Womack Kyle , Mathews Dana , Quiceno Mary , Levey Allan I. , Lah James J. , Cellar Janet S. , Burns Jeffrey M. , Swerdlow Russell H. , Brooks William M. , Apostolova Liana , Tingus Kathleen , Woo Ellen , Silverman Daniel H.S. , Lu Po H. , Bartzokis George , Graff-Radford Neill R , Parfitt Francine , Poki-Walker Kim , Farlow Martin R. , Hake Ann Marie , Matthews Brandy R. , Brosch Jared R. , Herring Scott , 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 , Mudge Benita , Sossi Vesna , Feldman Howard , Assaly Michele , Finger Elizabeth , Pasternack Stephen , Rachisky Irina , Trost Dick , Kertesz Andrew , Bernick Charles , Munic Donna , Mesulam Marek-Marsel , Rogalski Emily , Lipowski Kristine , Weintraub 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 , DeCarli Charles , Carmichael Owen , Kittur Smita , Borrie Michael , Lee T-Y , Bartha Rob , Johnson Sterling , Asthana Sanjay , Carlsson Cynthia M. , Potkin Steven G. , Preda Adrian , Nguyen Dana , Tariot Pierre , Burke Anna , Milliken Ann Marie , Trncic Nadira , Fleisher Adam , Reeder Stephanie , Bates Vernice , Capote Horacio , Rainka Michelle , Scharre Douglas W. , Kataki Maria , Kelley Brendan , 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. , Leslie Gordineer , Williamson Jeff D. , Garg Pradeep , Watkins Franklin , Ott Brian R. , Tremont Geoffrey , Daiello Lori A. , Salloway Stephen , Malloy Paul , Correia Stephen , Rosen Howard J. , Miller Bruce L. , Perry David , Mintzer Jacobo , Spicer Kenneth , Bachman David , Finger Elizabeth , Pasternak Stephen , Rachinsky Irina , Rogers John , Kertesz Andrew , Drost Dick , Pomara Nunzio , Hernando Raymundo , Sarrael Antero , Schultz Susan K. , Smith Karen Ekstam , Koleva Hristina , Nam Ki Won , Shim Hyungsub , Relkin Norman , Chiang Gloria , Lin Michael , Ravdin Lisa , Smith Amanda , Raj Balebail Ashok , Fargher Kristin , Weiner Michael W. , Aisen Paul , Weiner Michael , Aisen Paul , Petersen Ronald , Green Robert C. , Harvey Danielle , Jack Clifford R. , Jagust William , Morris John C. , Saykin Andrew J. , Shaw Leslie M. , Toga Arthur W. , Trojanowki John Q. , Neylan Thomas , Grafman Jordan , Green Robert C. , Montine Tom , Weiner Michael , Petersen Ronald , Aisen Paul , Thomas Ronald G. , Donohue Michael , Devon Gessert , Sather Tamie , Melissa Davis , Morrison Rosemary , Jiminez Gus , Neylan Thomas , Jacqueline Hayes , Shannon Finley , Harvey Danielle , Donohue Michael , Jack Clifford R. , Bernstein Matthew , Borowski Bret , Gunter Jeff , Senjem Matt , Kejal Kantarci , Chad Ward , Jagust William , Koeppe Robert A. , Foster Norm , Reiman Eric M. , Chen Kewei , Landau Susan , Morris John C. , Cairns Nigel J. , Householder Erin , Shaw Leslie M. , Trojanowki John Q. , Lee Virginia , Korecka Magdalena , Figurski Michal , Toga Arthur W. , Karen Crawford , Scott Neu , Saykin Andrew J. , Foroud Tatiana M. , Potkin Steven , Shen Li , Faber Kelley , Kim Sungeun , Nho Kwangsik , Weiner Michael W. , Karl Friedl , Schneider Lon S. , Pawluczyk Sonia , Mauricio Becerra , Brewer James , Vanderswag Helen , Stern Yaakov , Honig Lawrence S. , Bell Karen L. , Fleischman Debra , Arfanakis Konstantinos , Shah Raj C. , Duara Ranjan , Varon Daniel , Greig Maria T , Doraiswamy P. Murali , Petrella Jeffrey R. , James Olga , Porsteinsson Anton P. , Goldstein Bonnie , Martin Kimberly S. , Potkin Steven G. , Preda Adrian , Nguyen Dana , Mintzer Jacobo , Massoglia Dino , Brawman-Mintzer Olga , Sadowsky Carl , Martinez Walter , Villena Teresa , Jagust William , Landau Susan , Rosen Howard , Perry David , Turner Raymond Scott , Behan Kelly , Reynolds Brigid , Sperling Reisa A. , Johnson Keith A. , Marshall Gad , Sabbagh Marwan N. , Jacobson Sandra A. , Sirrel Sherye A. , Obisesan Thomas O. , Wolday Saba , Allard Joanne , Johnson Sterling C. , Fruehling J. Jay , Harding Sandra , Peskind Elaine R. , Petrie Eric C. , Li Gail , Yesavage Jerome A. , Taylor Joy L. , Furst Ansgar J. , Chao Steven , Relkin Norman , Chiang Gloria , Ravdin Lisa 

TITLE=Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images

JOURNAL=Frontiers in Aging Neuroscience

VOLUME=Volume 9 - 2017

YEAR=2017

URL=https://www.frontiersin.org/journals/aging-neuroscience/articles/10.3389/fnagi.2017.00146

DOI=10.3389/fnagi.2017.00146

ISSN=1663-4365

ABSTRACT=<p>Neuroimaging measurements derived from magnetic resonance imaging provide important information required for detecting changes related to the progression of mild cognitive impairment (MCI). Cortical features and changes play a crucial role in revealing unique anatomical patterns of brain regions, and further differentiate MCI patients from normal states. Four cortical features, namely, gray matter volume, cortical thickness, surface area, and mean curvature, were explored for discriminative analysis among three groups including the stable MCI (sMCI), the converted MCI (cMCI), and the normal control (NC) groups. In this study, 158 subjects (72 NC, 46 sMCI, and 40 cMCI) were selected from the Alzheimer's Disease Neuroimaging Initiative. A sparse-constrained regression model based on the l2-1-norm was introduced to reduce the feature dimensionality and retrieve essential features for the discrimination of the three groups by using a support vector machine (SVM). An optimized strategy of feature addition based on the weight of each feature was adopted for the SVM classifier in order to achieve the best classification performance. The baseline cortical features combined with the longitudinal measurements for 2 years of follow-up data yielded prominent classification results. In particular, the cortical thickness produced a classification with 98.84% accuracy, 97.5% sensitivity, and 100% specificity for the sMCI–cMCI comparison; 92.37% accuracy, 84.78% sensitivity, and 97.22% specificity for the cMCI–NC comparison; and 93.75% accuracy, 92.5% sensitivity, and 94.44% specificity for the sMCI–NC comparison. The best performances obtained by the SVM classifier using the essential features were 5–40% more than those using all of the retained features. The feasibility of the cortical features for the recognition of anatomical patterns was certified; thus, the proposed method has the potential to improve the clinical diagnosis of sub-types of MCI and predict the risk of its conversion to Alzheimer's disease.</p>