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:

1736 Total Publications

White matter hyperintensities and amyloid are independently associated with entorhinal cortex volume among individuals with mild cognitive impairment.
Guzman, V. a., Carmichael, O. T., Schwarz, C., Tosto, G., Zimmerman, M. E., & Brickman, A. M.
2013; Journal Alzheimer's and Dementia; vol. 9; no. 5; pp. S124-S131; doi:10.1016/j.jalz.2012.11.009

Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer’s disease and mild cognitive impairment.
Westman, E., Aguilar, C., Muehlboeck, J.-S., & Simmons, A.
2013; Journal Brain Topography; vol. 26; no. 1; pp. 9-23; doi:10.1007/s10548-012-0246-x

Heart-type fatty acid binding protein and vascular endothelial growth factor: cerebrospinal fluid biomarker candidates for Alzheimer’s disease.
Guo, L.-H., Alexopoulos, P., & Perneczky, R.
2013; Journal European Archives of Psychiatry and Clinical Neuroscience; vol. 263; no. 7; pp. 553-60; doi:10.1007/s00406-013-0405-4

Biomarker-based prediction of progression in MCI: Comparison of AD signature and hippocampal volume with spinal fluid amyloid-β and tau.
Dickerson, B. C., & Wolk, D. A.
2013; Journal Frontiers in Aging Neuroscience; vol. 5; pp. 55; doi:10.3389/fnagi.2013.00055

Dynamics of brain structure and cognitive function in the Alzheimer’s disease neuroimaging initiative.
Song, X., Mitnitski, A., Zhang, N., Chen, W., & Rockwood, K.
2013; Journal Journal of Neurology, Neurosurgery, and Psychiatry; vol. 84; no. 1; pp. 71-8; doi:10.1136/jnnp-2012-303579

Amyloid-β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods.
Landau, S. M., Breault, C., Joshi, A. D., Pontecorvo, M., Mathis, C. a, Jagust, W. J., & Mintun, M. a.
2013; Journal Journal of Nuclear Medicine; vol. 54; no. 1; pp. 70-7; doi:10.2967/jnumed.112.109009

How early can we predict Alzheimer’s disease using computational anatomy?
Adaszewski, S., Dukart, J., Kherif, F., Frackowiak, R., & Draganski, B.
PMID: 23890839 ; 2013; Journal Neurobiology of Aging; vol. 34; no. 12; pp. 2815-2826; doi:10.1016/j.neurobiolaging.2013.06.015

Brain size and the compensation of Alzheimer's disease symptoms: A longitudinal cohort study
Guo, L.-H., Alexopoulos, P., Wagenpfeil, S., Kurz, A., & Perneczky, R.
PMID: 23232272 ; 2013; Journal Alzheimer's and Dementia; vol. 9; no. 5; pp. 580-6; doi:10.1016/j.jalz.2012.10.002

Increased CNV-Region deletions in mild cognitive impairment (MCI) and Alzheimer's disease (AD) subjects in the ADNI sample
Guffanti, G., Torri, F., Rasmussen, J., Clark, A. P., Lakatos, A., Turner, J. a., … Macciardi, F
PMID: 23583670 ; PMCID:4012421 ; 2013; Journal Genomics; vol. 102; no. 2; pp. 112-122; doi:10.1016/j.ygeno.2013.04.004

CD33 Alzheimer’s disease locus: Altered monocyte function and amyloid biology
Bradshaw, E. M., Chibnik, L. B., Keenan, B. T., Ottoboni, L., Raj, T., Tang, A., … De Jager, P. L.
PMID: 23708142 ; PMCID:3703870 ; 2013; Journal Nature Neuroscience; vol. 16; no. 7; pp. 848-50; doi:10.1038/nn.3435