×
  • 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:

1739 Total Publications

F-FDG PET for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI)
Smailagic, N., Vacante, M., Hyde, C., Martin, S., Ukoumunne, O., & Sachpekidis, C.
PMID: 25629415 ; 2015; Journal The Cochrane Database of Systematic Reviews; vol. 1; pp. CD010632; doi:10.1002/14651858.CD010632.pub2
Diurnal fluctuations in brain volume: Statistical analyses of MRI from large populations
Nakamura, K., Brown, R. a., Narayanan, S., Collins, D. L., & Arnold, D. L.
PMID: 26049148 ; 2015; Journal Neuroimage; vol. 118; pp. 126-132; doi:10.1016/j.neuroimage.2015.05.077
Multi-stage Biomarker Models for Progression Estimation in Alzheimer's Disease
Schmidt-Richberg, A., Guerrero, R., Ledig, C., Molina-Abril, H., Frangi, A. F., Rueckert, D., & The Alzheimer’s Disease Neuroimaging Inititative.
PMID: 26221689 ; 2015; Journal Inf Process Med Imaging; vol. 24; pp. 387-398;
A Multi-Marker Genetic Association Test Based on the Rasch Model Applied to Alzheimer’s Disease
Wang W, Mandel J, Bouaziz J, Commenges D, Nabirotchkine S, Chumakov I, Cohen D, Guedj M; Alzheimer’s Disease Neuroimaging Initiative.
PMID: 26379234 ; PMCID:4574966 ; 2015; Journal PLoS One; vol. 10; no. 9; pp. e0138223; doi:10.1371/journal.pone.0138223
Protective Variant for Hippocampal Atrophy Identified by Whole Exome Sequencing
Nho, K., Kim, S., Risacher, S. L., Shen, L., Corneveaux, J. J., Swaminathan, S., … Saykin, A. J.
PMID: 25559091 ; PMCID:4387567 ; 2015; Journal Annals of Neurology; vol. 77; no. 3; pp. 547-52; doi:10.1002/ana.24349
Connectivity analysis of normal and mild cognitive impairment patients based on FDG and PiB-PET images
Son, S.-J., Kim, J.-H., Seo, J., Lee, J.-M., & Park, H.
PMID: 25896866 ; 2015; Journal Neuroscience Research; vol. 98; pp. 50-8; doi:10.1016/j.neures.2015.04.002
Deep sparse multi-task learning for feature selection in Alzheimer’s disease diagnosis
Suk, H.-I., Lee, S.-W., & Shen, D.
PMID: 25993900 ; PMCID:4714963 ; 2015; Journal Brain Structure and Function; vol. 221; no. 5; pp. 2569-87; doi:10.1007/s00429-015-1059-y
An Integrated Bioinformatics Approach for Identifying Genetic Markers that Predict Cerebrospinal Fluid Biomarker p-tau181/A􏰀1-42 Ratio in ApoE4-Negative Mild Cognitive Impairment Patients
Sun, Y., Bresell, A., Rantalainen, M., Hoglund, K., Lebouvier, T., & Salter, H.
PMID: 25720397 ; 2015; Journal Journal of Alzheimer's Disease; vol. 45; no. 4; pp. 1061-1076; doi:10.3233/JAD-142118
Exploratory graphical models of functional and structural connectivity patterns for Alzheimer's Disease diagnosis
Ortiz A1, Munilla J1, Álvarez-Illán I1, Górriz JM2, Ramírez J2; Alzheimer's Disease Neuroimaging Initiative
PMID: 26578945 ; PMCID:4630314 ; 2015; Journal Front Comput Neurosci; pp. 11:12; doi:10.3389/fncom.2015.00132