Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 230

1.

Exercise Training Induced Changes In Nuclear Magnetic Resonance-Measured Lipid Particles In Mild Cognitively Impaired Elderly African American Volunteers: A Pilot Study.

Fungwe TV, Ngwa JS, Ntekim OE, Allard JS, Nadarajah S, Wolday S, Ogunlana OO, Johnson SP, Hughes K, Larbi D, Gillum RF, Obisesan TO.

Clin Interv Aging. 2019 Dec 5;14:2115-2123. doi: 10.2147/CIA.S195878. eCollection 2019.

2.

Prediction and Classification of Alzheimer's Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers.

Gupta Y, Lama RK, Kwon GR; Alzheimer's Disease Neuroimaging Initiative.

Front Comput Neurosci. 2019 Oct 16;13:72. doi: 10.3389/fncom.2019.00072. eCollection 2019.

3.

Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways.

Horgusluoglu-Moloch E, Risacher SL, Crane PK, Hibar D, Thompson PM, Saykin AJ, Nho K; Alzheimer’s Disease Neuroimaging Initiative (ADNI).

Sci Rep. 2019 Oct 10;9(1):14498. doi: 10.1038/s41598-019-50507-3.

4.

Multimodal Hippocampal Subfield Grading For Alzheimer's Disease Classification.

Hett K, Ta VT, Catheline G, Tourdias T, Manjón JV, Coupé P; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2019 Sep 25;9(1):13845. doi: 10.1038/s41598-019-49970-9.

5.

New Perspective for Non-invasive Brain Stimulation Site Selection in Mild Cognitive Impairment: Based on Meta- and Functional Connectivity Analyses.

Liu J, Zhang B, Wilson G, Kong J; Alzheimer’s Disease Neuroimaging Initiative.

Front Aging Neurosci. 2019 Aug 27;11:228. doi: 10.3389/fnagi.2019.00228. eCollection 2019.

6.

The Influence of Cerebrospinal Fluid Abnormalities and APOE 4 on PHF-Tau Protein: Evidence From Voxel Analysis and Graph Theory.

Li Y, Yao Z, Yu Y, Fu Y, Zou Y, Hu B; Alzheimer’s Disease Neuroimaging Initiative.

Front Aging Neurosci. 2019 Aug 8;11:208. doi: 10.3389/fnagi.2019.00208. eCollection 2019.

7.

Performing Sparse Regularization and Dimension Reduction Simultaneously in Multimodal Data Fusion.

Yang Z, Zhuang X, Bird C, Sreenivasan K, Mishra V, Banks S, Cordes D; Alzheimer's Disease Neuroimaging Initiative.

Front Neurosci. 2019 Jul 3;13:642. doi: 10.3389/fnins.2019.00642. eCollection 2019.

8.

Quantitative 18F-AV1451 Brain Tau PET Imaging in Cognitively Normal Older Adults, Mild Cognitive Impairment, and Alzheimer's Disease Patients.

Zhao Q, Liu M, Ha L, Zhou Y; Alzheimer's Disease Neuroimaging Initiative.

Front Neurol. 2019 May 15;10:486. doi: 10.3389/fneur.2019.00486. eCollection 2019.

9.

A blood-based signature of cerebrospinal fluid Aβ1-42 status.

Goudey B, Fung BJ, Schieber C, Faux NG; Alzheimer’s Disease Metabolomics Consortium; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2019 Mar 11;9(1):4163. doi: 10.1038/s41598-018-37149-7.

10.

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics.

Varatharajah Y, Ramanan VK, Iyer R, Vemuri P; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2019 Feb 19;9(1):2235. doi: 10.1038/s41598-019-38793-3.

11.

Predicting Alzheimer's disease progression using multi-modal deep learning approach.

Lee G, Nho K, Kang B, Sohn KA, Kim D; for Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2019 Feb 13;9(1):1952. doi: 10.1038/s41598-018-37769-z.

12.

Type 2 diabetes mellitus, brain atrophy, and cognitive decline.

Moran C, Beare R, Wang W, Callisaya M, Srikanth V; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Neurology. 2019 Feb 19;92(8):e823-e830. doi: 10.1212/WNL.0000000000006955. Epub 2019 Jan 23.

PMID:
30674592
13.

Genetic and lifestyle risk factors for MRI-defined brain infarcts in a population-based setting.

Chauhan G, Adams HHH, Satizabal CL, Bis JC, Teumer A, Sargurupremraj M, Hofer E, Trompet S, Hilal S, Smith AV, Jian X, Malik R, Traylor M, Pulit SL, Amouyel P, Mazoyer B, Zhu YC, Kaffashian S, Schilling S, Beecham GW, Montine TJ, Schellenberg GD, Kjartansson O, Guðnason V, Knopman DS, Griswold ME, Windham BG, Gottesman RF, Mosley TH, Schmidt R, Saba Y, Schmidt H, Takeuchi F, Yamaguchi S, Nabika T, Kato N, Rajan KB, Aggarwal NT, De Jager PL, Evans DA, Psaty BM, Rotter JI, Rice K, Lopez OL, Liao J, Chen C, Cheng CY, Wong TY, Ikram MK, van der Lee SJ, Amin N, Chouraki V, DeStefano AL, Aparicio HJ, Romero JR, Maillard P, DeCarli C, Wardlaw JM, Hernández MDCV, Luciano M, Liewald D, Deary IJ, Starr JM, Bastin ME, Muñoz Maniega S, Slagboom PE, Beekman M, Deelen J, Uh HW, Lemmens R, Brodaty H, Wright MJ, Ames D, Boncoraglio GB, Hopewell JC, Beecham AH, Blanton SH, Wright CB, Sacco RL, Wen W, Thalamuthu A, Armstrong NJ, Chong E, Schofield PR, Kwok JB, van der Grond J, Stott DJ, Ford I, Jukema JW, Vernooij MW, Hofman A, Uitterlinden AG, van der Lugt A, Wittfeld K, Grabe HJ, Hosten N, von Sarnowski B, Völker U, Levi C, Jimenez-Conde J, Sharma P, Sudlow CLM, Rosand J, Woo D, Cole JW, Meschia JF, Slowik A, Thijs V, Lindgren A, Melander O, Grewal RP, Rundek T, Rexrode K, Rothwell PM, Arnett DK, Jern C, Johnson JA, Benavente OR, Wasssertheil-Smoller S, Lee JM, Wong Q, Mitchell BD, Rich SS, McArdle PF, Geerlings MI, van der Graaf Y, de Bakker PIW, Asselbergs FW, Srikanth V, Thomson R, McWhirter R, Moran C, Callisaya M, Phan T, Rutten-Jacobs LCA, Bevan S, Tzourio C, Mather KA, Sachdev PS, van Duijn CM, Worrall BB, Dichgans M, Kittner SJ, Markus HS, Ikram MA, Fornage M, Launer LJ, Seshadri S, Longstreth WT Jr, Debette S; Stroke Genetics Network (SiGN), the International Stroke Genetics Consortium (ISGC), METASTROKE, Alzheimer's Disease Genetics Consortium (ADGC), and the Neurology Working Group of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium.

Neurology. 2019 Jan 16. pii: 10.1212/WNL.0000000000006851. doi: 10.1212/WNL.0000000000006851. [Epub ahead of print]

14.

Regional Amyloid-β Load and White Matter Abnormalities Contribute to Hypometabolism in Alzheimer's Dementia.

Schilling LP, Pascoal TA, Zimmer ER, Mathotaarachchi S, Shin M, de Mello Rieder CR, Gauthier S, Palmini A, Rosa-Neto P; Alzheimer’s Disease Neuroimaging Initiative.

Mol Neurobiol. 2019 Jul;56(7):4916-4924. doi: 10.1007/s12035-018-1405-1. Epub 2018 Nov 9.

PMID:
30414086
15.

Characteristic patterns of inter- and intra-hemispheric metabolic connectivity in patients with stable and progressive mild cognitive impairment and Alzheimer's disease.

Huang SY, Hsu JL, Lin KJ, Liu HL, Wey SP, Hsiao IT; Alzheimer’s Disease Neuroimaging Initiative.

Sci Rep. 2018 Sep 14;8(1):13807. doi: 10.1038/s41598-018-31794-8.

16.

Associations of Pulse and Blood Pressure with Hippocampal Volume by APOE and Cognitive Phenotype: The Alzheimer's Disease Neuroimaging Initiative (ADNI).

Ngwa JS, Fungwe TV, Ntekim O, Allard JS, Johnson SM, Castor C, Graham L, Nadarajah S, Gillum RF, Obisesan TO; Alzheimer’s Disease Neuroimaging Initiative.

Dement Geriatr Cogn Disord. 2018;45(1-2):66-78. doi: 10.1159/000486955. Epub 2018 Apr 25.

17.

Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer's disease pathogenesis.

Zhou X, Chen Y, Mok KY, Zhao Q, Chen K, Chen Y, Hardy J, Li Y, Fu AKY, Guo Q, Ip NY; Alzheimer’s Disease Neuroimaging Initiative.

Proc Natl Acad Sci U S A. 2018 Feb 20;115(8):1697-1706. doi: 10.1073/pnas.1715554115. Epub 2018 Feb 5.

18.

Apo E4 Alleles and Impaired Olfaction as Predictors of Alzheimer's Disease.

Misiak MM, Hipolito MS, Ressom HW, Obisesan TO, Manaye KF, Nwulia EA.

Clin Exp Psychol. 2017;3(4). pii: 169. doi: 10.4172/2471-2701.1000169. Epub 2017 Oct 19.

19.

18F-florbetapir Positron Emission Tomography-determined Cerebral β-Amyloid Deposition and Neurocognitive Performance after Cardiac Surgery.

Klinger RY, James OG, Borges-Neto S, Bisanar T, Li YJ, Qi W, Berger M, Terrando N, Newman MF, Doraiswamy PM, Mathew JP; Alzheimer’s Disease Neuroimaging Initiative (ADNI) Study Group; Neurologic Outcomes Research Group (NORG).

Anesthesiology. 2018 Apr;128(4):728-744. doi: 10.1097/ALN.0000000000002103.

20.

Statistical tests and identifiability conditions for pooling and analyzing multisite datasets.

Zhou HH, Singh V, Johnson SC, Wahba G; Alzheimer’s Disease Neuroimaging Initiative.

Proc Natl Acad Sci U S A. 2018 Feb 13;115(7):1481-1486. doi: 10.1073/pnas.1719747115. Epub 2018 Jan 31.

Supplemental Content

Loading ...
Support Center