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:

1739 Total Publications

Visual ratings of atrophy in MCI: Prediction of conversion and relationship with CSF biomarkers.
Lehmann, M., Koedam, E. L., Barnes, J., Bartlett, J. W., Barkhof, F., Wattjes, M. P., … Fox, N. C.
2013; Journal Neurobiology of Aging; vol. 34; no. 1; pp. 73-82; doi:10.1016/j.neurobiolaging.2012.03.010

Relationship between imaging biomarkers, age, progression and symptom severity in Alzheimer’s disease.
Dukart, J., Mueller, K., Villringer, A., Kherif, F., Draganski, B., Frackowiak, R., & Schroeter, M. L.
2013; Journal Neuroimage: Clinical; vol. 3; pp. 84-94; doi:10.1016/j.nicl.2013.07.005

Heart fatty acid binding protein and Aβ-associated Alzheimer’s neurodegeneration.
Rahul S Desikan, Wesley K Thompson, Dominic Holland, Christopher P Hess, James B Brewer, Henrik Zetterberg, Kaj Blennow, Ole A Andreassen, Linda K McEvoy, Bradley T Hyman, Anders M Dale, and for the Alzheimer’s Disease Neuroimaging Initiative.
2013; Journal Molecular Neurodegeneration; vol. 8; no. 39; doi:10.1186/1750-1326-8-39

A direct morphometric comparison of five labeling protocols for multi-atlas driven automatic segmentation of the hippocampus in Alzheimer’s disease
Nestor, S. M., Gibson, E., Gao, F. Q., Kiss, A., & Black, S. E.
2013; Journal Neuroimage; vol. 66; pp. 50-70; doi:10.1016/j.neuroimage.2012.10.081

Associations between Alzheimer disease biomarkers, neurodegeneration, and cognition in cognitively normal older people.
Wirth, M., Villeneuve, S., Haase, C. M., Madison, C. M., Oh, H., Landau, S. M., … Jagust, W. J.
2013; Journal JAMA Neurology; vol. 70; no. 12; pp. 1512-9; doi:10.1001/jamaneurol.2013.4013

Cerebral atrophy in mild cognitive impairment and Alzheimer disease: rates and acceleration.
Leung, K. K., Bartlett, J. W., Barnes, J., Manning, E. N., Ourselin, S., & Fox, N. C.
2013; Journal Neurology; vol. 80; no. 7; pp. 648-54; doi:10.1212/WNL.0b013e318281ccd3

Structural interactions within the default mode network identified by Bayesian network analysis in Alzheimer’s disease.
Wang, Y., Chen, K., Yao, L., Jin, Z., & Guo, X.
2013; Journal PloS One; vol. 8; no. 8; pp. e74070; doi:10.1371/journal.pone.0074070

Disease progression model in subjects with mild cognitive impairment from the Alzheimer’s disease neuroimaging initiative: CSF biomarkers predict population subtypes.
Samtani, M. N., Raghavan, N., Shi, Y., Novak, G., Farnum, M., Lobanov, V., … Narayan, V. a.
2013; Journal British Journal of Clinical Pharmacology; vol. 75; no. 1; pp. 146-161; doi:10.1111/j.1365-2125.2012.04308.x

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; 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; doi:10.1016/j.neurobiolaging.2013.04.006