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Items: 1 to 20 of 136

1.

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.

2.

Applying pollen DNA metabarcoding to the study of plant-pollinator interactions.

Bell KL, Fowler J, Burgess KS, Dobbs EK, Gruenewald D, Lawley B, Morozumi C, Brosi BJ.

Appl Plant Sci. 2017 Jun 12;5(6). pii: apps.1600124. doi: 10.3732/apps.1600124. eCollection 2017 Jun.

3.

Chance long-distance or human-mediated dispersal? How Acacia s.l. farnesiana attained its pan-tropical distribution.

Bell KL, Rangan H, Fernandes MM, Kull CA, Murphy DJ.

R Soc Open Sci. 2017 Apr 12;4(4):170105. doi: 10.1098/rsos.170105. eCollection 2017 Apr.

4.

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.

5.

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.

6.

An rbcL reference library to aid in the identification of plant species mixtures by DNA metabarcoding.

Bell KL, Loeffler VM, Brosi BJ.

Appl Plant Sci. 2017 Mar 10;5(3). pii: apps.1600110. doi: 10.3732/apps.1600110. eCollection 2017 Mar.

7.

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.

8.

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.

9.

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.

10.

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.

11.

Bayesian model reveals latent atrophy factors with dissociable cognitive trajectories in Alzheimer's disease.

Zhang X, Mormino EC, Sun N, Sperling RA, Sabuncu MR, Yeo BT; Alzheimer’s Disease Neuroimaging Initiative.

Proc Natl Acad Sci U S A. 2016 Oct 18;113(42):E6535-E6544. Epub 2016 Oct 4.

12.

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.

13.

Polygenic risk of Alzheimer disease is associated with early- and late-life processes.

Mormino EC, Sperling RA, Holmes AJ, Buckner RL, De Jager PL, Smoller JW, Sabuncu MR; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2016 Aug 2;87(5):481-8. doi: 10.1212/WNL.0000000000002922. Epub 2016 Jul 6.

14.

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.

15.

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.

16.

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.

17.

Accelerating rates of cognitive decline and imaging markers associated with β-amyloid pathology.

Insel PS, Mattsson N, Mackin RS, Schöll M, Nosheny RL, Tosun D, Donohue MC, Aisen PS, Jagust WJ, Weiner MW; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2016 May 17;86(20):1887-96. doi: 10.1212/WNL.0000000000002683. Epub 2016 Apr 15.

18.

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.

19.

Better verbal memory in women than men in MCI despite similar levels of hippocampal atrophy.

Sundermann EE, Biegon A, Rubin LH, Lipton RB, Mowrey W, Landau S, Maki PM; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2016 Apr 12;86(15):1368-76. doi: 10.1212/WNL.0000000000002570. Epub 2016 Mar 16.

20.

The effect of increased genetic risk for Alzheimer's disease on hippocampal and amygdala volume.

Lupton MK, Strike L, Hansell NK, Wen W, Mather KA, Armstrong NJ, Thalamuthu A, McMahon KL, de Zubicaray GI, Assareh AA, Simmons A, Proitsi P, Powell JF, Montgomery GW, Hibar DP, Westman E, Tsolaki M, Kloszewska I, Soininen H, Mecocci P, Velas B, Lovestone S; Alzheimer's Disease Neuroimaging Initiative, Brodaty H, Ames D, Trollor JN, Martin NG, Thompson PM, Sachdev PS, Wright MJ.

Neurobiol Aging. 2016 Apr;40:68-77. doi: 10.1016/j.neurobiolaging.2015.12.023. Epub 2016 Jan 11.

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