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Items: 1 to 20 of 193

1.

Improving data collection, documentation, and workflow in a dementia screening study.

Read KB, LaPolla FW, Tolea MI, Galvin JE, Surkis A.

J Med Libr Assoc. 2017 Apr;105(2):160-166. doi: 10.5195/jmla.2017.221.

2.

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.

3.

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.

4.

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.

5.

Validation of the Korean Version of the Lewy Body Composite Risk Score (K-LBCRS).

Ryu HJ, Kim M, Moon Y, Choi Y, Han JY, Galvin JE, Han SH.

J Alzheimers Dis. 2017;55(4):1395-1401. doi: 10.3233/JAD-160463.

PMID:
27834773
6.

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.

7.

Arguing against the proposed definition changes of PD.

Boeve BF, Dickson DW, Duda JE, Ferman TJ, Galasko DR, Galvin JE, Goldman JG, Growdon JH, Hurtig HI, Kaufer DI, Kantarci K, Leverenz JB, Lippa CF, Lopez OL, McKeith IG, Singleton AB, Taylor A, Tsuang D, Weintraub D, Zabetian CP.

Mov Disord. 2016 Nov;31(11):1619-1622. doi: 10.1002/mds.26721. Epub 2016 Aug 5. Review.

8.

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.

9.

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.

10.

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.

11.

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.

12.
13.

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.

14.

The Relationship Between Mobility Dysfunction Staging and Global Cognitive Performance.

Tolea MI, Galvin JE.

Alzheimer Dis Assoc Disord. 2016 Jul-Sep;30(3):230-6. doi: 10.1097/WAD.0000000000000136.

15.

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.

16.

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.

17.

Anosognosia increases caregiver burden in mild cognitive impairment.

Kelleher M, Tolea MI, Galvin JE.

Int J Geriatr Psychiatry. 2016 Jul;31(7):799-808. doi: 10.1002/gps.4394. Epub 2015 Dec 7.

PMID:
26643996
18.

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.

19.

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.

20.

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.

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