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Items: 1 to 20 of 263

1.

Retained executive abilities in mild cognitive impairment are associated with increased white matter network connectivity.

Farrar DC, Mian AZ, Budson AE, Moss MB, Koo BB, Killiany RJ; Alzheimer’s Disease Neuroimaging Initiative.

Eur Radiol. 2017 Jul 10. doi: 10.1007/s00330-017-4951-4. [Epub ahead of print]

PMID:
28695358
2.

Age-related changes in structural connectivity are improved using subject-specific thresholding.

Bauer CM, Zajac LE, Koo BB, Killiany RJ, Merabet LB.

J Neurosci Methods. 2017 Jun 21;288:45-56. doi: 10.1016/j.jneumeth.2017.06.010. [Epub ahead of print]

PMID:
28647426
3.

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 May 18;9:146. doi: 10.3389/fnagi.2017.00146. eCollection 2017.

4.

Seed Location Impacts Whole-Brain Structural Network Comparisons between Healthy Elderly and Individuals with Alzheimer's Disease.

Zajac L, Koo BB, Bauer CM, Killiany R, Behalf Of The Alzheimer's Disease Neuroimaging Initiative.

Brain Sci. 2017 Apr 6;7(4). pii: E37. doi: 10.3390/brainsci7040037.

5.

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.

6.

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.

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.

Entorhinal Cortex: Antemortem Cortical Thickness and Postmortem Neurofibrillary Tangles and Amyloid Pathology.

Thaker AA, Weinberg BD, Dillon WP, Hess CP, Cabral HJ, Fleischman DA, Leurgans SE, Bennett DA, Hyman BT, Albert MS, Killiany RJ, Fischl B, Dale AM, Desikan RS.

AJNR Am J Neuroradiol. 2017 May;38(5):961-965. doi: 10.3174/ajnr.A5133. Epub 2017 Mar 9.

PMID:
28279988
9.

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.

10.

Evaluation of Long-Term Cryostorage of Brain Tissue Sections for Quantitative Histochemistry.

Estrada LI, Robinson AA, Amaral AC, Giannaris EL, Heyworth NC, Mortazavi F, Ngwenya LB, Roberts DE, Cabral HJ, Killiany RJ, Rosene DL.

J Histochem Cytochem. 2017 Mar;65(3):153-171. doi: 10.1369/0022155416686934. Epub 2017 Jan 12.

PMID:
28080173
11.

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.

12.

Multimodal characterization of older APOE2 carriers reveals selective reduction of amyloid load.

Grothe MJ, Villeneuve S, Dyrba M, Bartrés-Faz D, Wirth M; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2017 Feb 7;88(6):569-576. doi: 10.1212/WNL.0000000000003585. Epub 2017 Jan 6.

PMID:
28062720
13.

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.

14.

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.

15.

Edited Magnetic Resonance Spectroscopy Detects an Age-Related Decline in Nonhuman Primate Brain GABA Levels.

He X, Koo BB, Killiany RJ.

Biomed Res Int. 2016;2016:6523909. Epub 2016 Aug 31.

16.

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.

17.

Inosine enhances recovery of grasp following cortical injury to the primary motor cortex of the rhesus monkey.

Moore TL, Pessina MA, Finklestein SP, Killiany RJ, Bowley B, Benowitz L, Rosene DL.

Restor Neurol Neurosci. 2016 Sep 21;34(5):827-48. doi: 10.3233/RNN-160661.

PMID:
27497459
18.

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.

PMID:
27385740
19.

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.

20.

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.

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