×
  • 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.
Filter results by:

3393 Total Publications

Association of Apolipoprotein E epsilon4 With Medial Temporal Tau Independent of Amyloid-beta
Therriault, J, Benedet, AL, Pascoal, TA, Mathotaarachchi, S, Chamoun, M, Savard, M, Thomas, E, Kang, MS, Lussier, F, Tissot, C, Parsons, M, Qureshi, MNI, Vitali, P, Massarweh, G, Soucy, JP, Rej, S, Saha-Chaudhuri, P, Gauthier, S and Rosa-Neto, P
2019; Journal JAMA Neurol;
White matter hyperintensities and their relationship to cognition: Effects of segmentation algorithm
Tubi, MA, Feingold, FW, Kothapalli, D, Hare, ET, King, KS, Thompson, PM and Braskie, MN
2019; Journal Neuroimage; pp. 116327;
The metabolic brain signature of cognitive resilience in the 80+: beyond Alzheimer pathologies
Arenaza-Urquijo, E. M., Przybelski, S. A., Lesnick, T. L., Graff-Radford, J., Machulda, M. M., Knopman, D. S., Schwarz, C. G., Lowe, V. J., Mielke, M. M., Petersen, R. C., Jack, C. R. and Vemuri, P.
PMID: 30851100 ; 2019; Journal Brain;
Cognitive dispersion is a sensitive marker for early neurodegenerative changes and functional decline in nondemented older adults
Bangen, KJW, A. J.: Thomas, K. R.: Delano-Wood, L.: Clark, L. R.: Eppig, J.: Werhane, M. L.: Edmonds, E. C.: Bondi, M. W.
2019; Journal Neuropsychology;
FAst Segmentation Through SURface Fairing (FASTSURF): A novel semi-automatic hippocampus segmentation method
Bartel, F, Vrenken, H, van Herk, M, de Ruiter, M, Belderbos, J, Hulshof, J and de Munck, JC
2019; Journal Plos One; vol. 14; no. 1; pp. 26;
Education does not protect cognitive function from brain pathology in the ADNI 2 cohort
Bauer, CE, Brown, CA and Gold, BT
2019; Journal Neurobiol Aging;
Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme
Beheshti, I, Nugent, S, Potvin, O and Duchesne, S
2019; Journal Neuroimage-Clinical; vol. 24; pp. 6;
Predicting time to dementia using a quantitative template of disease progression
Bilgel, M and Jedynak, BM
2019; Journal Alzheimers Dement (Amst); vol. 11; pp. 205-215;
Predicting clinical decline and conversion to Alzheimer's disease or dementia using novel Elecsys Abeta(1-42), pTau and tTau CSF immunoassays
Blennow, K, Shaw, LM, Stomrud, E, Mattsson, N, Toledo, JB, Buck, K, Wahl, S, Eichenlaub, U, Lifke, V, Simon, M, Trojanowski, JQ and Hansson, O
2019; Journal Sci Rep; vol. 9; no. 1; pp. 19024;
Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease
Archetti, DI, S.: Venkatraghavan, V.: Wottschel, V.: Young, A. L.: Bellio, M.: Bron, E. E.: Klein, S.: Barkhof, F.: Alexander, D. C.: Oxtoby, N. P.: Frisoni, G. B.: Redolfi, A.
2019; Journal Neuroimage Clin; vol. 24; pp. 101954;