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Items: 1 to 20 of 66

1.

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer's Disease.

Hao X, Li C, Du L, Yao X, Yan J, Risacher SL, Saykin AJ, Shen L, Zhang D; Alzheimer’s Disease Neuroimaging Initiative..

Sci Rep. 2017 Mar 14;7:44272. doi: 10.1038/srep44272.

2.

Robust Identification of Alzheimer's Disease subtypes based on cortical atrophy patterns.

Park JY, Na HK, Kim S, Kim H, Kim HJ, Seo SW, Na DL, Han CE, Seong JK; Alzheimer’s Disease Neuroimaging Initiative..

Sci Rep. 2017 Mar 9;7:43270. doi: 10.1038/srep43270.

3.

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer's disease.

Huang M, Yang W, Feng Q, Chen W; Alzheimer’s Disease Neuroimaging Initiative..

Sci Rep. 2017 Jan 12;7:39880. doi: 10.1038/srep39880.

4.

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.

5.

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.

6.

A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer's disease.

Liu H, Zhou X, Jiang H, He H, Liu X; Alzheimer’s Disease Neuroimaging Initiative..

Sci Rep. 2016 Jun 7;6:26712. doi: 10.1038/srep26712.

7.

Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer's disease cohorts.

Tan L, Wang HF, Tan MS, Tan CC, Zhu XC, Miao D, Yu WJ, Jiang T, Tan L, Yu JT; Alzheimer’s Disease Neuroimaging Initiative..

Sci Rep. 2016 May 27;6:26027. doi: 10.1038/srep26027.

8.

The impact of PICALM genetic variations on reserve capacity of posterior cingulate in AD continuum.

Xu W, Wang HF, Tan L, Tan MS, Tan CC, Zhu XC, Miao D, Yu WJ, Jiang T, Tan L, Yu JT; Alzheimer’s Disease Neuroimaging Initiative Group..

Sci Rep. 2016 Apr 27;6:24480. doi: 10.1038/srep24480.

9.

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.

10.

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.

11.

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.

12.

MRI-based brain atrophy rates in ADNI phase 2: acceleration and enrichment considerations for clinical trials.

Hua X, Ching CR, Mezher A, Gutman BA, Hibar DP, Bhatt P, Leow AD, Jack CR Jr, Bernstein MA, Weiner MW, Thompson PM; Alzheimer's Disease Neuroimaging Initiative..

Neurobiol Aging. 2016 Jan;37:26-37. doi: 10.1016/j.neurobiolaging.2015.09.018. Epub 2015 Oct 19.

13.

A potential endophenotype for Alzheimer's disease: cerebrospinal fluid clusterin.

Deming Y, Xia J, Cai Y, Lord J, Holmans P, Bertelsen S, Holtzman D, Morris JC, Bales K, Pickering EH, Kauwe J, Goate A, Cruchaga C; Alzheimer's Disease Neuroimaging Initiative..

Neurobiol Aging. 2016 Jan;37:208.e1-9. doi: 10.1016/j.neurobiolaging.2015.09.009. Epub 2015 Sep 25.

14.

Trajectories of Neuropsychiatric Symptoms and Cognitive Decline in Mild Cognitive Impairment.

David ND, Lin F, Porsteinsson AP; Alzheimer's Disease Neuroimaging Initiative..

Am J Geriatr Psychiatry. 2016 Jan;24(1):70-80. doi: 10.1016/j.jagp.2015.06.001. Epub 2015 Jun 27.

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.

PMID:
26524180
16.

Suspected non-AD pathology in mild cognitive impairment.

Wisse LE, Butala N, Das SR, Davatzikos C, Dickerson BC, Vaishnavi SN, Yushkevich PA, Wolk DA; Alzheimer's Disease Neuroimaging Initiative..

Neurobiol Aging. 2015 Dec;36(12):3152-62. doi: 10.1016/j.neurobiolaging.2015.08.029. Epub 2015 Sep 7.

17.

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
18.

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.

PMID:
26402410
19.

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.

PMID:
26401783
20.

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.

PMID:
26401775

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