C
Chadwick P. Ward
Researcher at Mayo Clinic
Publications - 26
Citations - 5364
Chadwick P. Ward is an academic researcher from Mayo Clinic. The author has contributed to research in topics: Medicine & Alzheimer's Disease Neuroimaging Initiative. The author has an hindex of 13, co-authored 20 publications receiving 4536 citations. Previous affiliations of Chadwick P. Ward include University of Minnesota & University of Rochester.
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Journal ArticleDOI
The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.
Clifford R. Jack,Matt A. Bernstein,Nick C. Fox,Paul M. Thompson,Gene E. Alexander,Danielle J Harvey,Bret J. Borowski,Paula J. Britson,Jennifer L. Whitwell,Chadwick P. Ward,Anders M. Dale,Joel P. Felmlee,Jeffrey L. Gunter,Derek L. G. Hill,Ronald J. Killiany,Norbert Schuff,Sabrina Fox-Bosetti,Chen Lin,Colin Studholme,Charles DeCarli,Gunnar Krueger,Heidi A. Ward,Gregory J. Metzger,Katherine T. Scott,Richard Philip Mallozzi,Daniel J. Blezek,Joshua Levy,Josef Phillip Debbins,Adam S. Fleisher,Marilyn S. Albert,Robert C. Green,George Bartzokis,Gary H. Glover,John P. Mugler,Michael W. Weiner +34 more
TL;DR: The approach taken in ADNI to standardization across sites and platforms of the MRI protocol, postacquisition corrections, and phantom‐based monitoring of all scanners could be used as a model for other multisite trials.
Journal ArticleDOI
A large-scale comparison of cortical thickness and volume methods for measuring Alzheimer's disease severity.
Christopher G. Schwarz,Jeffrey L. Gunter,Heather J. Wiste,Scott A. Przybelski,Stephen D. Weigand,Chadwick P. Ward,Matthew L. Senjem,Prashanthi Vemuri,Melissa E. Murray,Dennis W. Dickson,Joseph E. Parisi,Kejal Kantarci,Michael W. Weiner,Ronald C. Petersen,Clifford R. Jack +14 more
TL;DR: It is shown that volume- and thickness-based measures generally perform similarly for separating clinically normal from AD populations, and in correlation with Braak neurofibrillary tangle stage at autopsy.
Journal ArticleDOI
Longitudinal stability of MRI for mapping brain change using tensor-based morphometry
Alex D. Leow,Andrea D. Klunder,Clifford R. Jack,Arthur W. Toga,Anders M. Dale,Matt A. Bernstein,Paula J. Britson,Jeffrey L. Gunter,Chadwick P. Ward,Jennifer L. Whitwell,Bret J. Borowski,Adam S. Fleisher,Nick C. Fox,Danielle J Harvey,John Kornak,Norbert Schuff,Colin Studholme,Gene E. Alexander,Michael W. Weiner,Paul M. Thompson +19 more
TL;DR: Although SPGR/FLASH images showed least deviation here, pulse sequence selection for the ADNI project was based on multiple additional image analyses, to be reported elsewhere.
Journal ArticleDOI
Alzheimer's Disease Neuroimaging Initiative: A one-year follow up study using tensor-based morphometry correlating degenerative rates, biomarkers and cognition
Alex D. Leow,Igor Yanovsky,Neelroop N. Parikshak,Xue Hua,Suh Lee,Arthur W. Toga,Clifford R. Jack,Matt A. Bernstein,Paula J. Britson,Jeffrey L. Gunter,Chadwick P. Ward,Bret J. Borowski,Leslie M. Shaw,John Q. Trojanowski,Adam S. Fleisher,Danielle J Harvey,John Kornak,Norbert Schuff,Gene E. Alexander,Michael W. Weiner,Paul M. Thompson +20 more
TL;DR: Serial MRI scans can be analyzed with nonlinear image registration to relate ongoing neurodegeneration to a variety of pathological biomarkers, cognitive changes, and conversion from MCI to AD, tracking disease progression in 3-dimensional detail.
Journal ArticleDOI
3D characterization of brain atrophy in Alzheimer's disease and mild cognitive impairment using tensor-based morphometry.
Xue Hua,Alex D. Leow,Suh Lee,Andrea D. Klunder,Arthur W. Toga,Natasha Lepore,Yi Yu Chou,Caroline Brun,Ming Chang Chiang,Marina Barysheva,Clifford R. Jack,Matt A. Bernstein,Paula J. Britson,Chadwick P. Ward,Jennifer L. Whitwell,Bret J. Borowski,Adam S. Fleisher,Nick C. Fox,Richard G. Boyes,Josephine Barnes,Danielle J Harvey,John Kornak,Norbert Schuff,Norbert Schuff,Lauren Boreta,Gene E. Alexander,Michael W. Weiner,Michael W. Weiner,Paul M. Thompson +28 more
TL;DR: Compared the anatomical distribution of brain atrophy in 40 patients with Alzheimer's disease, healthy elderly controls, and individuals with amnestic mild cognitive impairment (aMCI), a condition conferring increased risk for AD, and how detection sensitivity was influenced by the sample size, the choice of search region, the initial linear registration method, and the type of TBM design is compared.