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Items: 1 to 20 of 56

1.

The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory.

Franzmeier N, Rubinski A, Neitzel J, Ewers M; Alzheimer’s Disease Neuroimaging Initiative (ADNI).

Nat Commun. 2019 Apr 16;10(1):1766. doi: 10.1038/s41467-019-09564-5.

2.

Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference.

Young AL, Marinescu RV, Oxtoby NP, Bocchetta M, Yong K, Firth NC, Cash DM, Thomas DL, Dick KM, Cardoso J, van Swieten J, Borroni B, Galimberti D, Masellis M, Tartaglia MC, Rowe JB, Graff C, Tagliavini F, Frisoni GB, Laforce R Jr, Finger E, de Mendonça A, Sorbi S, Warren JD, Crutch S, Fox NC, Ourselin S, Schott JM, Rohrer JD, Alexander DC; Genetic FTD Initiative (GENFI); Alzheimer’s Disease Neuroimaging Initiative (ADNI).

Nat Commun. 2018 Oct 15;9(1):4273. doi: 10.1038/s41467-018-05892-0.

3.

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.

4.

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.

5.

Corrigendum: Conversion Discriminative Analysis on Mild Cognitive Impairment Using Multiple Cortical Features from MR Images.

Guo S, Lai C, Wu C, Cen G; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 Sep 5;9:293. doi: 10.3389/fnagi.2017.00293. eCollection 2017.

6.

Adding Recognition Discriminability Index to the Delayed Recall Is Useful to Predict Conversion from Mild Cognitive Impairment to Alzheimer's Disease in the Alzheimer's Disease Neuroimaging Initiative.

Russo MJ, Campos J, Vázquez S, Sevlever G, Allegri RF; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2017 Mar 10;9:46. doi: 10.3389/fnagi.2017.00046. eCollection 2017.

7.

Construction and Analysis of Weighted Brain Networks from SICE for the Study of Alzheimer's Disease.

Munilla J, Ortiz A, Górriz JM, Ramírez J; Alzheimer's Disease Neuroimaging Initiative.

Front Neuroinform. 2017 Mar 10;11:19. doi: 10.3389/fninf.2017.00019. eCollection 2017.

8.

Basal forebrain degeneration precedes and predicts the cortical spread of Alzheimer's pathology.

Schmitz TW, Nathan Spreng R; Alzheimer's Disease Neuroimaging Initiative.

Nat Commun. 2016 Nov 4;7:13249. doi: 10.1038/ncomms13249.

9.

Morphometricity as a measure of the neuroanatomical signature of a trait.

Sabuncu MR, Ge T, Holmes AJ, Smoller JW, Buckner RL, Fischl B; Alzheimer's Disease Neuroimaging Initiative.

Proc Natl Acad Sci U S A. 2016 Sep 27;113(39):E5749-56. doi: 10.1073/pnas.1604378113. Epub 2016 Sep 9.

10.

Early role of vascular dysregulation on late-onset Alzheimer's disease based on multifactorial data-driven analysis.

Iturria-Medina Y, Sotero RC, Toussaint PJ, Mateos-Pérez JM, Evans AC; Alzheimer’s Disease Neuroimaging Initiative.

Nat Commun. 2016 Jun 21;7:11934. doi: 10.1038/ncomms11934.

11.

Alzheimer's Disease Assessment Scale-Cognitive subscale variants in mild cognitive impairment and mild Alzheimer's disease: change over time and the effect of enrichment strategies.

Podhorna J, Krahnke T, Shear M, Harrison JE; Alzheimer’s Disease Neuroimaging Initiative.

Alzheimers Res Ther. 2016 Feb 12;8:8. doi: 10.1186/s13195-016-0170-5.

12.

Reference tissue normalization in longitudinal (18)F-florbetapir positron emission tomography of late mild cognitive impairment.

Shokouhi S, Mckay JW, Baker SL, Kang H, Brill AB, Gwirtsman HE, Riddle WR, Claassen DO, Rogers BP; Alzheimer’s Disease Neuroimaging Initiative.

Alzheimers Res Ther. 2016 Jan 15;8:2. doi: 10.1186/s13195-016-0172-3.

13.

Highly adaptive tests for group differences in brain functional connectivity.

Kim J, Pan W; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage Clin. 2015 Oct 22;9:625-39. doi: 10.1016/j.nicl.2015.10.004. eCollection 2015.

14.

Does posterior cingulate hypometabolism result from disconnection or local pathology across preclinical and clinical stages of Alzheimer's disease?

Teipel S, Grothe MJ; Alzheimer´s Disease Neuroimaging Initiative.

Eur J Nucl Med Mol Imaging. 2016 Mar;43(3):526-36. doi: 10.1007/s00259-015-3222-3. Epub 2015 Nov 10.

15.

Association of Cerebrospinal Fluid Neurofilament Light Concentration With Alzheimer Disease Progression.

Zetterberg H, Skillbäck T, Mattsson N, Trojanowski JQ, Portelius E, Shaw LM, Weiner MW, Blennow K; Alzheimer’s Disease Neuroimaging Initiative.

JAMA Neurol. 2016 Jan;73(1):60-7. doi: 10.1001/jamaneurol.2015.3037.

16.

Study of amyloid-β peptide functional brain networks in AD, MCI and HC.

Jiang J, Duan H, Huang Z, Yu Z; Alzheimer's Disease Neuroimaging Initiative.

Biomed Mater Eng. 2015;26 Suppl 1:S2197-205. doi: 10.3233/BME-151525.

PMID:
26405999
17.

Common Variants in PLD3 and Correlation to Amyloid-Related Phenotypes in Alzheimer's Disease.

Wang C, Tan L, Wang HF, Yu WJ, Liu Y, Jiang T, Tan MS, Hao XK, Zhang DQ, Yu JT; Alzheimer's Disease Neuroimaging Initiative.

J Alzheimers Dis. 2015;46(2):491-5. doi: 10.3233/JAD-150110.

18.

Identification of Conversion from Normal Elderly Cognition to Alzheimer's Disease using Multimodal Support Vector Machine.

Zhan Y, Chen K, Wu X, Zhang D, Zhang J, Yao L, Guo X; Alzheimer’s Disease Neuroimaging Initiative.

J Alzheimers Dis. 2015;47(4):1057-67. doi: 10.3233/JAD-142820.

19.

Tau and Amyloid-β Cerebrospinal Fluid Biomarkers have Differential Relationships with Cognition in Mild Cognitive Impairment.

Malpas CB, Saling MM, Velakoulis D, Desmond P, O'Brien TJ; Alzheimer's Disease Neuroimaging Initiative.

J Alzheimers Dis. 2015;47(4):965-75. doi: 10.3233/JAD-142643.

20.

Applying Automated MR-Based Diagnostic Methods to the Memory Clinic: A Prospective Study.

Klöppel S, Peter J, Ludl A, Pilatus A, Maier S, Mader I, Heimbach B, Frings L, Egger K, Dukart J, Schroeter ML, Perneczky R, Häussermann P, Vach W, Urbach H, Teipel S, Hüll M, Abdulkadir A; Alzheimer’s Disease Neuroimaging Initiative.

J Alzheimers Dis. 2015;47(4):939-54. doi: 10.3233/JAD-150334.

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