×
  • 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:

2110 Total Publications

Identification of prognostic factors to predict cognitive decline of patients with early Alzheimer's disease in the Japanese Alzheimer's Disease Neuroimaging Initiative study
Yagi, T, Kanekiyo, M, Ito, J, Ihara, R, Suzuki, K, Iwata, A, Iwatsubo, T and Aoshima, K
2019; Journal Alzheimer's and Dementia: Translational Research and Clinical Interventions; vol. 5; pp. 364-373;
Efficient diffeomorphic metric image registration via stationary velocity
Yang, X and Yang, J
2019; Journal Journal of Computational Science; vol. 30; pp. 90-97;
Frequency and longitudinal clinical outcomes of Alzheimer's AT(N) biomarker profiles: A longitudinal study
Yu, JT, Li, JQ, Suckling, J, Feng, L, Pan, A, Wang, YJ, Song, B, Zhu, SL, Li, DH, Wang, HF, Tan, CC, Dong, Q, Tan, L, Mok, V, Aisen, PS, Weiner, MM and Alzheimer's Dis Neuroimaging, I
2019; Journal Alzheimers & Dementia; vol. 15; no. 9; pp. 1208-1217;
Diffusion MRI Indices and Their Relation to Cognitive Impairment in Brain Aging: The Updated Multi-protocol Approach in ADNI3
Zavaliangos-Petropulu,A, Nir,TM, Thomopoulos,SI, Reid,RI, Bernstein,MA, Borowski,B, Jack, CR, Weiner,MW, Jahanshad,N, Thompson,PM.
2019; Journal Frontiers Neuroinformatics; vol. 13; no. 2;
Characterization of white matter changes along fibers by automated fiber quantification in the early stages of Alzheimer's disease
Zhang, X., Sun, Y., Li, W., Liu, B., Wu, W., Zhao, H., Liu, R., Zhang, Y., Yin, Z., Yu, T., Qing, Z., Zhu, B., Xu, Y., Nedelska, Z., Hort, J. and Zhang, B.
2019; Journal Neuroimage Clin; vol. 22; pp. 101723;
Structured Genome-Wide Association Studies with Bayesian Hierarchical Variable Selection
Zhao, YZ, H.: Lu, Z.: Knickmeyer, R. C.: Zou, F.
PMID: 31010934 ; 2019; Journal Genetics; vol. 212; no. 2; pp. 397-415;
Multi-modal AD classification via self-paced latent correlation analysis
Zhu, Q, Yuan, N, Huang, J, Hao, X and Zhang, D
2019; Journal Neurocomputing; vol. 355; pp. 143-154;
Discriminative self-representation sparse regression for neuroimaging-based alzheimer's disease diagnosis
Zhu, XF, Suk, HI, Lee, SW and Shen, DG
2019; Journal Brain Imaging and Behavior; vol. 13; no. 1; pp. 27-40;
Default Mode Network Connectivity Moderates the Relationship Between the APOE Genotype and Cognition and Individualizes Identification Across the Alzheimer's Disease Spectrum
Zhu, Y, Gong, L, He, CC, Wang, Q, Ren, QG, Xie, CM and Alzheimers Dis Neuroimaging, I
2019; Journal Journal of Alzheimers Disease; vol. 70; no. 3; pp. 843-860;
Synaptic biomarkers in CSF aid in diagnosis, correlate with cognition and predict progression in MCI and Alzheimer's disease
Galasko, D, Xiao, M, Xu, D, Smirnov, D, Salmon, DP, Dewit, N, Vanbrabant, J, Jacobs, D, Vanderstichele, H, Vanmechelen, E and Worley, P
2019; Journal Alzheimers Dement (N Y); vol. 5; pp. 871-882;