×
  • 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

Small-World Properties in Mild Cognitive Impairment and Early Alzheimer’s Disease: A Cortical Thickness MRI Study.
Zhou, Y., & Lui, Y. W.
2013; Journal ISRN Geriatrics; vol. 2013; no. 6684; pp. 1-11; AWUVFyWqwAl_G9zjEvgr doi:10.1155/2013/542080
Integrating discretization and association rule-based classification for Alzheimer’s disease diagnosis.
Chaves, R., Ramírez, J., & Górriz, J. M.
2013; Journal Expert Systems with Applications; vol. 40; no. 5; pp. 1571-1578; AWUVIqi8dzjauPDbjhq_ doi:10.1016/j.eswa.2012.09.003
Combining boundary-based methods with tensor-based morphometry in the measurement of longitudinal brain change.
Fletcher, E., Knaack, A., Singh, B., Lloyd, E., Wu, E., Carmichael, O., & DeCarli, C.
2013; Journal IEEE Transactions on Medical Imaging; vol. 32; no. 2; pp. 223-36; AWUVIqi8dzjauPDbjhrA doi:10.1109/TMI.2012.2220153
Brain changes in older adults at very low risk for Alzheimer’s disease.
Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., & Walhovd, K. B.
2013; Journal Journal of Neuroscience; vol. 33; no. 19; pp. 8237-42; AWUVIqi8dzjauPDbjhrE doi:10.1523/JNEUROSCI.5506-12.2013
Cognitive dysfunction and greater visit-to-visit systolic blood pressure variability.
Epstein, N. U., Lane, K. A., Farlow, M. R., Risacher, S. L., Saykin, A. J., Gao, S., … Gao, S.
2013; Journal Journal of the American Geriatrics Society; vol. 61; no. 12; pp. 2168-2173; AWUVIqi8dzjauPDbjhrF doi:10.1111/jgs.12542
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.
Bernal-Rusiel, J. L., Greve, D. N., Reuter, M., Fischl, B., & Sabuncu, M. R.
2013; Journal Neuroimage; vol. 66; pp. 249-260; AWUVIqi8dzjauPDbjhrJ doi:10.1016/j.neuroimage.2012.10.065
Dimensionality reduced cortical features and their use in predicting longitudinal changes in Alzheimer’s disease.
Park, H., Yang, J. J., Seo, J., & Lee, J. M.
2013; Journal Neuroscience Letters; vol. 550; pp. 17-22; AWUVIqi8dzjauPDbjhrN doi:10.1016/j.neulet.2013.06.042
Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in mild cognitive impairment.
Nho, K., Corneveaux, J. J., Kim, S., Lin, H., Risacher, S. L., Shen, L., … Saykin, A. J.
2013; Journal Molecular Psychiatry; vol. 18; no. 7; pp. 781-7; AWUVAA3tMOwVf_qbJr71 doi:10.1038/mp.2013.24
Maximizing power to track Alzheimer’s disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features.
Gutman, B. a., Hua, X., Rajagopalan, P., Chou, Y. Y., Wang, Y., Yanovsky, I., … Thompson, P. M.
2013; Journal Neuroimage; vol. 70; pp. 386-401; AWUVAA3tMOwVf_qbJr74 doi:10.1016/j.neuroimage.2012.12.052
Polymorphism in the TOMM40 gene modifies the risk of developing sporadic inclusion body myositis and the age of onset of symptoms
Mastaglia, F. L., Rojana-udomsart, A., James, I., Needham, M., Day, T. J., Kiers, L., … Roses, A. D.
2013; Journal Neuromuscular Disorders; vol. 23; no. 12; pp. 969-74; AWUVGYvTMOwVf_qbJr84 doi:10.1016/j.nmd.2013.09.008