ADNI | Publications

×

×

Select the area you would like to search.
ADNI SITE
DATA DICTIONARY This search queries the ADNI data dictionary. Enter terms or codes used in the dictionary for a definition, or enter search terms to locate data within the archive.
ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.

Publications

ADNI publication pdfs can be searched by author, keyword, or
PMCID using the ADNI PDF search above.

Filter results by:

3393 Total Publications

Multi-Modal Neuroimaging Feature Learning for Multi-Class Diagnosis of Alzheimer’s Disease
Liu, S., Liu, S., Cai, W., Che, H., Pujol, S., Kikinis, R., … Fulham, M. J.
2015; Journal IEEE Transactions on Bio-Medical Engineering; vol. 62; no. 4; pp. 1132-40; doi:10.1109/TBME.2014.2372011

Prediction of Alzheimer’s disease pathophysiology based on cortical thickness patterns
J. Hwang, C. M. Kim, S. Jeon, J. M. Lee, Y. J. Hong, J. H. Roh, J. H. Lee, J. Y. Koh, D. L. Na and I. Alzheimer's Disease Neuroimaging
PMID: 27239533 ; PMCID:4879518 ; 2015; Journal Alzheimers Dement (Amst); vol. 2; pp. 58-67; doi:10.1016/j.dadm.2015.11.008

Predicting Reduction of Cerebrospinal Fluid β-Amyloid 42 in Cognitively Healthy Controls.
Mattsson, N., Insel, P. S., Donohue, M., Jagust, W., Sperling, R., Aisen, P., & Weiner, M. W.
PMID: 25775167 ; 2015; Journal JAMA Neurology; vol. 72; no. 5; pp. 1-7; doi:10.1001/jamaneurol.2014.4530

Accurate Prediction of Conversion to Alzheimer’s Disease using Imaging, Genetic, and Neuropsychological Biomarkers
Dukart J, Sambataro F, Bertolino A.
PMID: 26599054 ; 2015; Journal Journal of Alzheimer's Disease; vol. 49; no. 4; pp. 1143-59; doi:10.3233/JAD-150570

Gray matter atrophy in patients with mild cognitive impairment/Alzheimer’s disease over the course of developing delusions
C. E. Fischer, W. K. Ting, C. P. Millikin, Z. Ismail, T. A. Schweizer and I. Alzheimer Disease Neuroimaging
PMID: 25821062 ; PMCID:5963287 ; 2015; Journal Int J Geriatr Psychiatry; vol. 31; no. 1; pp. 76-82; doi:10.1002/gps.4291

Correcting for the Absence of a Gold Standard Improves Diagnostic Accuracy of Biomakers in Alzheimer's Disease
Coart, E., Barrado, L. G., Duits, F. H., Scheltens, P., van der Flier, W. M., Teunissen, C. E., … Burzykowski, T.
PMID: 25869788 ; 2015; Journal Journal of Alzheimer's Disease; vol. 46; no. 4; pp. 889-99; doi:10.3233/JAD-142886

Equivalence of kernel machine regression and kernel distance covariance for multidimensional phenotype association studies
Wen-Yu Hua, Debashis Ghosh.
2015; Journal Biometrics; vol. 71; no. 3; pp. 812-820;

Prediction of brain age suggests accelerated atrophy after traumatic brain injury.
Cole JH, Leech R, Sharp DJ, for the Alzheimer’s Disease Neuroimaging Initiative.
2015; Journal Annals of Neurology; vol. 77; no. 4; pp. 571-581; doi:10.1002/ana.24367.

Longitudinal gray-matter volume change in the default-mode network: utility of volume standardized with global gray-matter volume for Alzheimer’s disease: a preliminary study
Goto, M., Abe, O., Aoki, S., Hayashi, N., Ohtsu, H., Takao, H., … Ohtomo, K.
PMID: 25261344 ; 2015; Journal Radiological Physics and Technology; vol. 8; no. 1; pp. 64-72; doi:10.1007/s12194-014-0295-9

Spatial Patterns of Atrophy, Hypometabolism, and Amyloid Deposition in Alzheimer’s Disease Correspond to Dissociable Functional Brain Networks
M. J. Grothe, S. J. Teipel and I. Alzheimer's Disease Neuroimaging
PMID: 26441321 ; PMCID:4715545 ; 2015; Journal Hum Brain Mapp; vol. 37; no. 1; pp. 35-53; doi:10.1002/hbm.23018