×
  • Select the area you would like to search.
  • 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:
Year Range:

-
Journal
Authors

1800 Total Publications

Prediction of Alzheimer’s disease and mild cognitive impairment using cortical morphological patterns.
Wee, C.-Y., Yap, P.-T., & Shen, D.
2013; Journal Human Brain Mapping; vol. 34; no. 12; pp. 3411-3425; AWUU_d3HdzjauPDbjhqh doi:10.1002/hbm.22156
Critical ages in the life course of the adult brain: nonlinear subcortical aging.
Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I., Espeseth, T., Reinvang, I., … Walhovd, K. B.
2013; Journal Neurobiology of Aging; vol. 34; no. 10; pp. 2239-47; AWUVFUjTMOwVf_qbJr8k doi:10.1016/j.neurobiolaging.2013.04.006
Surface fluid registration of conformal representation: Application to detect disease burden and genetic influence on hippocampus
Shi, J., Thompson, P. M., Gutman, B., & Wang, Y.
2013; Journal Neuroimage; vol. 78; pp. 111-134; AWUVAA3tMOwVf_qbJr77 doi:10.1016/j.neuroimage.2013.04.018
Brain development and aging: Overlapping and unique patterns of change.
Tamnes, C. K., Walhovd, K. B., Dale, A. M., Østby, Y., Grydeland, H., Richardson, G., … Fjell, A. M.
2013; Journal Neuroimage; vol. 68; no. 2013; pp. 63-74; AWUVAA3tMOwVf_qbJr78 doi:10.1016/j.neuroimage.2012.11.039
Glucose metabolism during resting state reveals abnormal brain networks organization in the Alzheimer’s disease and mild cognitive impairment.
Sanabria-Diaz, G., Martinez-Montes, E., Melie-Garcia, L., & Alzheimer’s Disease Neuroimaging, I.
2013; Journal PloS One; vol. 8; no. 7; pp. e68860; AWUVAA3tMOwVf_qbJr8C doi:10.1371/journal.pone.0068860
Generative FDG-PET and MRI model of aging and disease progression in Alzheimer’s disease.
Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M. L., Frackowiak, R. S. J., & Draganski, B.
2013; Journal PLoS Computational Biology; vol. 9; no. 4; pp. e1002987; AWUVGYvTMOwVf_qbJr85 doi:10.1371/journal.pcbi.1002987
Advanced Psychometric Analysis and the Alzheimer’s Disease Neuroimaging Initiative:Reports from the 2011 Friday Harbor Conference
Mungas D1, Crane PK, Gibbons LE, Manly JJ, Glymour MM, Jones RN
PMID: 23232798 ; PMCID:3532555 ; 2012; Journal Brain Imaging Behav; vol. 6; no. 4; pp. 485-8; AWTYO_KSMOwVf_qbJr6j doi:10.1007/s11682-012-9211-2
Does feature selection improve classification accuracy? Impact of sample size and feature selection on classification using anatomical magnetic resonance images
Chu, C., Hsu, A. L., Chou, K. H., Bandettini, P., & Lin, C.
PMID: 22166797 ; 2012; Journal Neuroimage; vol. 60; no. 1; pp. 59-70; AWTX-r2FMOwVf_qbJr4G doi:10.1016/j.neuroimage.2011.11.066
CSF and Brain Structural Imaging Markers of the Alzheimer's Pathological Cascade
Yang, X., Tan, M. Z., & Qiu, A.
PMID: 23284610 ; PMCID:3526616 ; 2012; Journal PloS One; vol. 7; no. 12; pp. e47406; AWTYEEswwAl_G9zjEvYK doi:10.1371/journal.pone.0047406
Comparison of Imaging Biomarkers in the Alzheimer Disease Neuroimaging Initiative and the Mayo Clinic Study of Aging
Whitwell, J. L., Wiste, H. J., Weigand, S. D., Rocca, W. A., Knopman, D. S., Roberts, R. O., … Jack, C. R.
PMID: 22782510 ; PMCID:3569033 ; 2012; Journal JAMA Neurology; vol. 69; no. 5; pp. 614-22; AWTX9JHXwAl_G9zjEvXu doi:10.1001/archneurol.2011.3029