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Items: 1 to 20 of 99

1.

The Risk of Incident Mild Cognitive Impairment and Progression to Dementia Considering Mild Cognitive Impairment Subtypes.

Michaud TL, Su D, Siahpush M, Murman DL.

Dement Geriatr Cogn Dis Extra. 2017 Feb 2;7(1):15-29. doi: 10.1159/000452486. eCollection 2017 Jan-Apr.

2.

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.

3.

Relation of Dysglycemia to Structural Brain Changes in a Multiethnic Elderly Cohort.

Reitz C, Guzman VA, Narkhede A, DeCarli C, Brickman AM, Luchsinger JA.

J Am Geriatr Soc. 2017 Feb;65(2):277-285. doi: 10.1111/jgs.14551. Epub 2016 Dec 5.

4.

A brain stress test: Cerebral perfusion during memory encoding in mild cognitive impairment.

Xie L, Dolui S, Das SR, Stockbower GE, Daffner M, Rao H, Yushkevich PA, Detre JA, Wolk DA.

Neuroimage Clin. 2016 Mar 2;11:388-97. doi: 10.1016/j.nicl.2016.03.002. eCollection 2016.

5.

Potential neuroimaging biomarkers of pathologic brain changes in Mild Cognitive Impairment and Alzheimer's disease: a systematic review.

Ruan Q, D'Onofrio G, Sancarlo D, Bao Z, Greco A, Yu Z.

BMC Geriatr. 2016 May 16;16:104. doi: 10.1186/s12877-016-0281-7. Review.

6.

Longitudinal relationships among biomarkers for Alzheimer disease in the Adult Children Study.

Xiong C, Jasielec MS, Weng H, Fagan AM, Benzinger TL, Head D, Hassenstab J, Grant E, Sutphen CL, Buckles V, Moulder KL, Morris JC.

Neurology. 2016 Apr 19;86(16):1499-506. doi: 10.1212/WNL.0000000000002593. Epub 2016 Mar 23.

7.

Role of β-Amyloidosis and Neurodegeneration in Subsequent Imaging Changes in Mild Cognitive Impairment.

Knopman DS, Jack CR Jr, Lundt ES, Wiste HJ, Weigand SD, Vemuri P, Lowe VJ, Kantarci K, Gunter JL, Senjem ML, Mielke MM, Machulda MM, Roberts RO, Boeve BF, Jones DT, Petersen RC.

JAMA Neurol. 2015 Dec;72(12):1475-83. doi: 10.1001/jamaneurol.2015.2323.

8.

Alzheimer Disease Cerebrospinal Fluid Biomarkers Moderate Baseline Differences and Predict Longitudinal Change in Attentional Control and Episodic Memory Composites in the Adult Children Study.

Aschenbrenner AJ, Balota DA, Fagan AM, Duchek JM, Benzinger TL, Morris JC.

J Int Neuropsychol Soc. 2015 Sep;21(8):573-83. doi: 10.1017/S1355617715000776.

9.

Fluid Biomarkers in Clinical Trials of Alzheimer's Disease Therapeutics.

Ritter A, Cummings J.

Front Neurol. 2015 Aug 31;6:186. doi: 10.3389/fneur.2015.00186. eCollection 2015. Review.

10.

High Resolution Discovery Proteomics Reveals Candidate Disease Progression Markers of Alzheimer's Disease in Human Cerebrospinal Fluid.

Hendrickson RC, Lee AY, Song Q, Liaw A, Wiener M, Paweletz CP, Seeburger JL, Li J, Meng F, Deyanova EG, Mazur MT, Settlage RE, Zhao X, Southwick K, Du Y, Holder D, Sachs JR, Laterza OF, Dallob A, Chappell DL, Snyder K, Modur V, King E, Joachim C, Bondarenko AY, Shearman M, Soper KA, Smith AD, Potter WZ, Koblan KS, Sachs AB, Yates NA.

PLoS One. 2015 Aug 13;10(8):e0135365. doi: 10.1371/journal.pone.0135365. eCollection 2015.

11.

Impact of the Alzheimer's Disease Neuroimaging Initiative, 2004 to 2014.

Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Cedarbaum J, Donohue MC, Green RC, Harvey D, Jack CR Jr, Jagust W, Morris JC, Petersen RC, Saykin AJ, Shaw L, Thompson PM, Toga AW, Trojanowski JQ; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement. 2015 Jul;11(7):865-84. doi: 10.1016/j.jalz.2015.04.005. Review.

12.

Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2.

Jack CR Jr, Barnes J, Bernstein MA, Borowski BJ, Brewer J, Clegg S, Dale AM, Carmichael O, Ching C, DeCarli C, Desikan RS, Fennema-Notestine C, Fjell AM, Fletcher E, Fox NC, Gunter J, Gutman BA, Holland D, Hua X, Insel P, Kantarci K, Killiany RJ, Krueger G, Leung KK, Mackin S, Maillard P, Malone IB, Mattsson N, McEvoy L, Modat M, Mueller S, Nosheny R, Ourselin S, Schuff N, Senjem ML, Simonson A, Thompson PM, Rettmann D, Vemuri P, Walhovd K, Zhao Y, Zuk S, Weiner M.

Alzheimers Dement. 2015 Jul;11(7):740-56. doi: 10.1016/j.jalz.2015.05.002.

13.

Introduction to special issue: Overview of Alzheimer's Disease Neuroimaging Initiative.

Weiner MW, Veitch DP.

Alzheimers Dement. 2015 Jul;11(7):730-3. doi: 10.1016/j.jalz.2015.05.007. Review.

14.

2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception.

Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Cedarbaum J, Green RC, Harvey D, Jack CR, Jagust W, Luthman J, Morris JC, Petersen RC, Saykin AJ, Shaw L, Shen L, Schwarz A, Toga AW, Trojanowski JQ; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement. 2015 Jun;11(6):e1-120. doi: 10.1016/j.jalz.2014.11.001. Review.

15.

Body fluid biomarkers in Alzheimer's disease.

Lu H, Zhu XC, Jiang T, Yu JT, Tan L.

Ann Transl Med. 2015 Apr;3(5):70. doi: 10.3978/j.issn.2305-5839.2015.02.13. Review. Erratum in: Ann Transl Med. 2016 May;4(9):E2.

16.

Multimodal manifold-regularized transfer learning for MCI conversion prediction.

Cheng B, Liu M, Suk HI, Shen D, Zhang D; Alzheimer’s Disease Neuroimaging Initiative.

Brain Imaging Behav. 2015 Dec;9(4):913-26. doi: 10.1007/s11682-015-9356-x.

17.

Integrative analysis of multi-dimensional imaging genomics data for Alzheimer's disease prediction.

Zhang Z, Huang H, Shen D; Alzheimer's Disease Neuroimaging Initiative.

Front Aging Neurosci. 2014 Oct 17;6:260. doi: 10.3389/fnagi.2014.00260. eCollection 2014.

18.

Predictive Models Based on Support Vector Machines: Whole-Brain versus Regional Analysis of Structural MRI in the Alzheimer's Disease.

Retico A, Bosco P, Cerello P, Fiorina E, Chincarini A, Fantacci ME.

J Neuroimaging. 2015 Jul-Aug;25(4):552-63. doi: 10.1111/jon.12163. Epub 2014 Oct 7.

19.

Alzheimer disease biomarkers, attentional control, and semantic memory retrieval: Synergistic and mediational effects of biomarkers on a sensitive cognitive measure in non-demented older adults.

Aschenbrenner AJ, Balota DA, Tse CS, Fagan AM, Holtzman DM, Benzinger TL, Morris JC.

Neuropsychology. 2015 May;29(3):368-81. doi: 10.1037/neu0000133. Epub 2014 Sep 15.

20.

Correlation between decreased CSF α-synuclein and Aβ₁₋₄₂ in Parkinson disease.

Buddhala C, Campbell MC, Perlmutter JS, Kotzbauer PT.

Neurobiol Aging. 2015 Jan;36(1):476-84. doi: 10.1016/j.neurobiolaging.2014.07.043. Epub 2014 Aug 4.

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