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Items: 1 to 20 of 36

1.

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.

2.

Predicting Progression from Mild Cognitive Impairment to Alzheimer's Dementia Using Clinical, MRI, and Plasma Biomarkers via Probabilistic Pattern Classification.

Korolev IO, Symonds LL, Bozoki AC; Alzheimer's Disease Neuroimaging Initiative..

PLoS One. 2016 Feb 22;11(2):e0138866. doi: 10.1371/journal.pone.0138866. eCollection 2016.

3.

Prefrontal Lobe Brain Reserve Capacity with Resistance to Higher Global Amyloid Load and White Matter Hyperintensity Burden in Mild Stage Alzheimer's Disease.

Chang YT, Huang CW, Chen NC, Lin KJ, Huang SH, Chang YH, Hsu SW, Chang WN, Lui CC, Hsu CW, Chang CC.

PLoS One. 2016 Feb 12;11(2):e0149056. doi: 10.1371/journal.pone.0149056. eCollection 2016.

4.
5.

Precuneus and Cingulate Cortex Atrophy and Hypometabolism in Patients with Alzheimer's Disease and Mild Cognitive Impairment: MRI and (18)F-FDG PET Quantitative Analysis Using FreeSurfer.

Bailly M, Destrieux C, Hommet C, Mondon K, Cottier JP, Beaufils E, Vierron E, Vercouillie J, Ibazizene M, Voisin T, Payoux P, Barré L, Camus V, Guilloteau D, Ribeiro MJ.

Biomed Res Int. 2015;2015:583931. doi: 10.1155/2015/583931. Epub 2015 Jun 17.

6.

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.

7.

Clinical Significance of Cerebrovascular Biomarkers and White Matter Tract Integrity in Alzheimer Disease: Clinical correlations With Neurobehavioral Data in Cross-Sectional and After 18 Months Follow-ups.

Wu MK, Lu YT, Huang CW, Lin PH, Chen NC, Lui CC, Chang WN, Lee CC, Chang YT, Chen SF, Chang CC.

Medicine (Baltimore). 2015 Jul;94(28):e1192. doi: 10.1097/MD.0000000000001192.

8.

Deformation field correction for spatial normalization of PET images.

Bilgel M, Carass A, Resnick SM, Wong DF, Prince JL.

Neuroimage. 2015 Oct 1;119:152-63. doi: 10.1016/j.neuroimage.2015.06.063. Epub 2015 Jun 30.

9.

Multimodal Discrimination of Alzheimer's Disease Based on Regional Cortical Atrophy and Hypometabolism.

Yun HJ, Kwak K, Lee JM; Alzheimer’s Disease Neuroimaging Initiative..

PLoS One. 2015 Jun 10;10(6):e0129250. doi: 10.1371/journal.pone.0129250. eCollection 2015.

10.

Amyloid burden in the hippocampus and default mode network: relationships with gray matter volume and cognitive performance in mild stage Alzheimer disease.

Chang YT, Huang CW, Chang YH, Chen NC, Lin KJ, Yan TC, Chang WN, Chen SF, Lui CC, Lin PH, Chang CC.

Medicine (Baltimore). 2015 Apr;94(16):e763. doi: 10.1097/MD.0000000000000763.

11.

Alzheimer Disease Biomarkers as Outcome Measures for Clinical Trials in MCI.

Caroli A, Prestia A, Wade S, Chen K, Ayutyanont N, Landau SM, Madison CM, Haense C, Herholz K, Reiman EM, Jagust WJ, Frisoni GB; Alzheimer’s Disease Neuroimaging Initiative..

Alzheimer Dis Assoc Disord. 2015 Apr-Jun;29(2):101-9. doi: 10.1097/WAD.0000000000000071.

12.

The Chinese Verbal Learning Test specifically assesses hippocampal state.

Tsai RM, Leong JK, Dutt S, Chang CC, Lee AK, Chao SZ, Yokoyama JS, Tse M, Kramer JH, Miller BL, Rosen HJ.

Am J Alzheimers Dis Other Demen. 2015 Jun;30(4):412-6. doi: 10.1177/1533317514552667. Epub 2014 Sep 30.

13.

Neural correlates of spatial navigation changes in mild cognitive impairment and Alzheimer's disease.

Vlček K, Laczó J.

Front Behav Neurosci. 2014 Mar 17;8:89. doi: 10.3389/fnbeh.2014.00089. eCollection 2014. Review.

14.

Progress update: fluid and imaging biomarkers in Alzheimer's disease.

Sutphen CL, Fagan AM, Holtzman DM.

Biol Psychiatry. 2014 Apr 1;75(7):520-6. doi: 10.1016/j.biopsych.2013.07.031. Epub 2013 Sep 5. Review.

15.

The Alzheimer's Disease Neuroimaging Initiative: a review of papers published since its inception.

Weiner MW, Veitch DP, Aisen PS, Beckett LA, Cairns NJ, Green RC, Harvey D, Jack CR, Jagust W, Liu E, Morris JC, Petersen RC, Saykin AJ, Schmidt ME, Shaw L, Shen L, Siuciak JA, Soares H, Toga AW, Trojanowski JQ; Alzheimer's Disease Neuroimaging Initiative..

Alzheimers Dement. 2013 Sep;9(5):e111-94. doi: 10.1016/j.jalz.2013.05.1769. Epub 2013 Aug 7. Review.

16.

The receiver operational characteristic for binary classification with multiple indices and its application to the neuroimaging study of Alzheimer's disease.

Wu X, Li J, Ayutyanont N, Protas H, Jagust W, Fleisher A, Reiman E, Yao L, Chen K; Alzheimer's Disease Neuroimaging Initiative..

IEEE/ACM Trans Comput Biol Bioinform. 2013 Jan-Feb;10(1):173-80. doi: 10.1109/TCBB.2012.141.

17.

Generative FDG-PET and MRI model of aging and disease progression in Alzheimer's disease.

Dukart J, Kherif F, Mueller K, Adaszewski S, Schroeter ML, Frackowiak RS, Draganski B; Alzheimer's Disease Neuroimaging Initiative..

PLoS Comput Biol. 2013 Apr;9(4):e1002987. doi: 10.1371/journal.pcbi.1002987. Epub 2013 Apr 4.

18.
19.

Predicting cognitive decline in subjects at risk for Alzheimer disease by using combined cerebrospinal fluid, MR imaging, and PET biomarkers.

Shaffer JL, Petrella JR, Sheldon FC, Choudhury KR, Calhoun VD, Coleman RE, Doraiswamy PM; Alzheimer’s Disease Neuroimaging Initiative..

Radiology. 2013 Feb;266(2):583-91. doi: 10.1148/radiol.12120010. Epub 2012 Dec 11.

20.

Regional vulnerability in Huntington's disease: fMRI-guided molecular analysis in patients and a mouse model of disease.

Lewandowski NM, Bordelon Y, Brickman AM, Angulo S, Khan U, Muraskin J, Griffith EY, Wasserman P, Menalled L, Vonsattel JP, Marder K, Small SA, Moreno H.

Neurobiol Dis. 2013 Apr;52:84-93. doi: 10.1016/j.nbd.2012.11.014. Epub 2012 Dec 4. Erratum in: Neurobiol Dis. 2013 Jun;54:115.

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