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Journal Abstract Search
1387 related items for PubMed ID: 23954175
1. Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia. Trzepacz PT, Yu P, Sun J, Schuh K, Case M, Witte MM, Hochstetler H, Hake A, Alzheimer's Disease Neuroimaging Initiative. Neurobiol Aging; 2014 Jan; 35(1):143-51. PubMed ID: 23954175 [Abstract] [Full Text] [Related]
2. A Cross-Validation of FDG- and Amyloid-PET Biomarkers in Mild Cognitive Impairment for the Risk Prediction to Dementia due to Alzheimer's Disease in a Clinical Setting. Iaccarino L, Chiotis K, Alongi P, Almkvist O, Wall A, Cerami C, Bettinardi V, Gianolli L, Nordberg A, Perani D. J Alzheimers Dis; 2017 Jan; 59(2):603-614. PubMed ID: 28671117 [Abstract] [Full Text] [Related]
4. Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers. Xu L, Wu X, Li R, Chen K, Long Z, Zhang J, Guo X, Yao L, Alzheimer’s Disease Neuroimaging Initiative. J Alzheimers Dis; 2016 Jan; 51(4):1045-56. PubMed ID: 26923024 [Abstract] [Full Text] [Related]
5. Potential Clinical Value of Multiparametric PET in the Prediction of Alzheimer's Disease Progression. Chen X, Zhou Y, Wang R, Cao H, Reid S, Gao R, Han D, Alzheimer’s Disease Neuroimaging Initiative. PLoS One; 2016 Jan; 11(5):e0154406. PubMed ID: 27183116 [Abstract] [Full Text] [Related]
6. Accurate Prediction of Conversion to Alzheimer's Disease using Imaging, Genetic, and Neuropsychological Biomarkers. Dukart J, Sambataro F, Bertolino A. J Alzheimers Dis; 2016 Jan; 49(4):1143-59. PubMed ID: 26599054 [Abstract] [Full Text] [Related]
7. Amyloid burden and metabolic function in early-onset Alzheimer's disease: parietal lobe involvement. Ossenkoppele R, Zwan MD, Tolboom N, van Assema DM, Adriaanse SF, Kloet RW, Boellaard R, Windhorst AD, Barkhof F, Lammertsma AA, Scheltens P, van der Flier WM, van Berckel BN. Brain; 2012 Jul; 135(Pt 7):2115-25. PubMed ID: 22556189 [Abstract] [Full Text] [Related]
8. Utility of Molecular and Structural Brain Imaging to Predict Progression from Mild Cognitive Impairment to Dementia. Lan MJ, Ogden RT, Kumar D, Stern Y, Parsey RV, Pelton GH, Rubin-Falcone H, Pradhaban G, Zanderigo F, Miller JM, Mann JJ, Devanand DP. J Alzheimers Dis; 2017 Jul; 60(3):939-947. PubMed ID: 28984586 [Abstract] [Full Text] [Related]
9. Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer's disease. Ossenkoppele R, Schonhaut DR, Schöll M, Lockhart SN, Ayakta N, Baker SL, O'Neil JP, Janabi M, Lazaris A, Cantwell A, Vogel J, Santos M, Miller ZA, Bettcher BM, Vossel KA, Kramer JH, Gorno-Tempini ML, Miller BL, Jagust WJ, Rabinovici GD. Brain; 2016 May; 139(Pt 5):1551-67. PubMed ID: 26962052 [Abstract] [Full Text] [Related]
10. Enriching amnestic mild cognitive impairment populations for clinical trials: optimal combination of biomarkers to predict conversion to dementia. Yu P, Dean RA, Hall SD, Qi Y, Sethuraman G, Willis BA, Siemers ER, Martenyi F, Tauscher JT, Schwarz AJ. J Alzheimers Dis; 2012 May; 32(2):373-85. PubMed ID: 22796873 [Abstract] [Full Text] [Related]
11. (11)C-PIB-PET for the early diagnosis of Alzheimer's disease dementia and other dementias in people with mild cognitive impairment (MCI). Zhang S, Smailagic N, Hyde C, Noel-Storr AH, Takwoingi Y, McShane R, Feng J. Cochrane Database Syst Rev; 2014 Jul 23; 2014(7):CD010386. PubMed ID: 25052054 [Abstract] [Full Text] [Related]
12. Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease. Ota K, Oishi N, Ito K, Fukuyama H, SEAD-J Study Group, Alzheimer's Disease Neuroimaging Initiative. J Neurosci Methods; 2015 Dec 30; 256():168-83. PubMed ID: 26318777 [Abstract] [Full Text] [Related]
13. The relative importance of imaging markers for the prediction of Alzheimer's disease dementia in mild cognitive impairment - Beyond classical regression. Teipel SJ, Kurth J, Krause B, Grothe MJ, Alzheimer's Disease Neuroimaging Initiative. Neuroimage Clin; 2015 Dec 30; 8():583-93. PubMed ID: 26199870 [Abstract] [Full Text] [Related]
14. Clinical, Neuropsychological, and Neuroimaging Characteristics of Amyloid- positive vs. Amyloid-negative Patients with Clinically Diagnosed Alzheimer's Disease and Amnestic Mild Cognitive Impairment. Wang Y, Lou F, Li Y, Liu F, Wang Y, Cai L, Gordon ML, Zhang Y, Zhang N. Curr Alzheimer Res; 2021 Dec 30; 18(6):523-532. PubMed ID: 34598664 [Abstract] [Full Text] [Related]
15. 11C PiB and structural MRI provide complementary information in imaging of Alzheimer's disease and amnestic mild cognitive impairment. Jack CR, Lowe VJ, Senjem ML, Weigand SD, Kemp BJ, Shiung MM, Knopman DS, Boeve BF, Klunk WE, Mathis CA, Petersen RC. Brain; 2008 Mar 30; 131(Pt 3):665-80. PubMed ID: 18263627 [Abstract] [Full Text] [Related]
18. Diagnosed mild cognitive impairment due to Alzheimer's disease with PET biomarkers of beta amyloid and neuronal dysfunction. Hatashita S, Yamasaki H. PLoS One; 2013 Mar 30; 8(6):e66877. PubMed ID: 23799136 [Abstract] [Full Text] [Related]
19. Clinical impact of 11C-Pittsburgh compound-B positron emission tomography in addition to magnetic resonance imaging and single-photon emission computed tomography on diagnosis of mild cognitive impairment to Alzheimer's disease. Kitajima K, Abe K, Takeda M, Yoshikawa H, Ohigashi M, Osugi K, Koyama H, Yamakado K. Medicine (Baltimore); 2021 Jan 22; 100(3):e23969. PubMed ID: 33545981 [Abstract] [Full Text] [Related]
20. Impact of (18)FDG PET and (11)C-PIB PET brain imaging on the diagnosis of Alzheimer's disease and other dementias in a regional memory clinic in Hong Kong. Shea YF, Ha J, Lee SC, Chu LW. Hong Kong Med J; 2016 Aug 22; 22(4):327-33. PubMed ID: 27313272 [Abstract] [Full Text] [Related] Page: [Next] [New Search]