×
  • 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

Differences in topological progression profile among neurodegenerative diseases from imaging data
Garbarino, S, Lorenzi, M, Oxtoby, NP, Vinke, EJ, Marinescu, RV, Eshaghi, A, Ikram, MA, Niessen, WJ, Ciccarelli, O, Barkhof, F, Schott, JM, Vernooij, MW and Alexander, DC
2019; Journal Elife; vol. 8;
Sign-Consistency Based Variable Importance for Machine Learning in Brain Imaging
Gómez-Verdejo, V, Parrado-Hernández, E and Tohka, J
2019; Journal Neuroinformatics; vol. 17; no. 4; pp. 593-609;
The CD33 genotype associated cognitive performance was bidirectionally modulated by intrinsic functional connectivity in the Alzheimer's disease spectrum
Gong, L, Xu, R, Lan, L, Liu, D, Shen, J and Zhang, B
2019; Journal Biomed Pharmacother; vol. 115; pp. 108903;
Differential medial temporal lobe and default-mode network functional connectivity and morphometric changes in Alzheimer's disease
Grajski, KA, Bressler, SL and Alzheimers Dis Neuroimaging, I
2019; Journal Neuroimage-Clinical; vol. 23; pp. 13;
Determining clinically meaningful decline in preclinical Alzheimer disease
Insel, PS, Weiner, M, Mackin, RS, Mormino, E, Lim, YY, Stomrud, E, Palmqvist, S, Masters, CL, Maruff, PT, Hansson, O and Mattsson, N
2019; Journal Neurology; vol. 93; no. 4; pp. E322-E333;
Bayesian hidden Markov models for delineating the pathology of Alzheimer's disease
Kang, K, Cai, JH, Song, XY and Zhu, HT
2019; Journal Statistical Methods in Medical Research; vol. 28; no. 7; pp. 2112-2124;
Translating Alzheimer's disease-associated polymorphisms into functional candidates: a survey of IGAP genes and SNPs
Katsumata, Y., Nelson, P. T., Estus, S. and Fardo, D. W.
2019; Journal Neurobiol Aging; vol. 74; pp. 135-146;
Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer's Disease
Maj, C, Azevedo, T, Giansanti, V, Borisov, O, Dimitri, GM, Spasov, S, Lio, P, Merelli, I and Alzheimers Dis Neuroimaging, I
2019; Journal Frontiers in Genetics; vol. 10; pp. 16;
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
Marinescu, R. V., Eshaghi, A., Lorenzi, M., Young, A. L., Oxtoby, N. P., Garbarino, S., Crutch, S. J. and Alexander, D. C.
2019; Journal Neuroimage;
Hypothesis: cerebrospinal fluid protein markers suggest a pathway toward symptomatic resilience to AD pathology
Meyer, PFS, M.: Poirier, J.: Morgan, D.: Breitner, J.
2019; Journal Alzheimers Dement;