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Items: 1 to 20 of 164

1.

Regional shape abnormalities in mild cognitive impairment and Alzheimer's disease.

Qiu A, Fennema-Notestine C, Dale AM, Miller MI; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2009 Apr 15;45(3):656-61.

2.

Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer's disease: detecting, quantifying, and predicting.

Tang X, Holland D, Dale AM, Younes L, Miller MI; Alzheimer's Disease Neuroimaging Initiative.

Hum Brain Mapp. 2014 Aug;35(8):3701-25. doi: 10.1002/hbm.22431. Epub 2014 Jan 17.

3.
4.

Relation between subcortical grey matter atrophy and conversion from mild cognitive impairment to Alzheimer's disease.

Yi HA, Möller C, Dieleman N, Bouwman FH, Barkhof F, Scheltens P, van der Flier WM, Vrenken H.

J Neurol Neurosurg Psychiatry. 2016 Apr;87(4):425-32. doi: 10.1136/jnnp-2014-309105. Epub 2015 Apr 22.

PMID:
25904810
5.

Baseline MRI predictors of conversion from MCI to probable AD in the ADNI cohort.

Risacher SL, Saykin AJ, West JD, Shen L, Firpi HA, McDonald BC; Alzheimer's Disease Neuroimaging Initiative (ADNI).

Curr Alzheimer Res. 2009 Aug;6(4):347-61.

6.

Multivariate deformation-based analysis of brain atrophy to predict Alzheimer's disease in mild cognitive impairment.

Teipel SJ, Born C, Ewers M, Bokde AL, Reiser MF, Möller HJ, Hampel H.

Neuroimage. 2007 Oct 15;38(1):13-24. Epub 2007 Jul 18.

PMID:
17827035
7.

The diffeomorphometry of regional shape change rates and its relevance to cognitive deterioration in mild cognitive impairment and Alzheimer's disease.

Tang X, Holland D, Dale AM, Younes L, Miller MI; Alzheimer's Disease Neuroimaging Initiative.

Hum Brain Mapp. 2015 Jun;36(6):2093-117. doi: 10.1002/hbm.22758. Epub 2015 Feb 3.

8.

Characterizing Alzheimer's disease using a hypometabolic convergence index.

Chen K, Ayutyanont N, Langbaum JB, Fleisher AS, Reschke C, Lee W, Liu X, Bandy D, Alexander GE, Thompson PM, Shaw L, Trojanowski JQ, Jack CR Jr, Landau SM, Foster NL, Harvey DJ, Weiner MW, Koeppe RA, Jagust WJ, Reiman EM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 May 1;56(1):52-60. doi: 10.1016/j.neuroimage.2011.01.049. Epub 2011 Jan 27.

9.

Analysis of regional MRI volumes and thicknesses as predictors of conversion from mild cognitive impairment to Alzheimer's disease.

Liu Y, Paajanen T, Zhang Y, Westman E, Wahlund LO, Simmons A, Tunnard C, Sobow T, Mecocci P, Tsolaki M, Vellas B, Muehlboeck S, Evans A, Spenger C, Lovestone S, Soininen H; AddNeuroMed Consortium.

Neurobiol Aging. 2010 Aug;31(8):1375-85. doi: 10.1016/j.neurobiolaging.2010.01.022. Epub 2010 May 5.

PMID:
20447732
10.

Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.

Moradi E, Pepe A, Gaser C, Huttunen H, Tohka J; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2015 Jan 1;104:398-412. doi: 10.1016/j.neuroimage.2014.10.002. Epub 2014 Oct 12.

PMID:
25312773
11.

CSF and brain structural imaging markers of the Alzheimer's pathological cascade.

Yang X, Tan MZ, Qiu A.

PLoS One. 2012;7(12):e47406. doi: 10.1371/journal.pone.0047406. Epub 2012 Dec 19.

12.

Hippocampal surface analysis in subjective memory impairment, mild cognitive impairment and Alzheimer's dementia.

Tepest R, Wang L, Csernansky JG, Neubert P, Heun R, Scheef L, Jessen F.

Dement Geriatr Cogn Disord. 2008;26(4):323-9. doi: 10.1159/000161057. Epub 2008 Oct 8.

PMID:
18841017
13.

Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI.

Misra C, Fan Y, Davatzikos C.

Neuroimage. 2009 Feb 15;44(4):1415-22. doi: 10.1016/j.neuroimage.2008.10.031. Epub 2008 Nov 5.

14.

Surface-based TBM boosts power to detect disease effects on the brain: an N=804 ADNI study.

Wang Y, Song Y, Rajagopalan P, An T, Liu K, Chou YY, Gutman B, Toga AW, Thompson PM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 Jun 15;56(4):1993-2010. doi: 10.1016/j.neuroimage.2011.03.040. Epub 2011 Mar 23.

15.

Tensor-based morphometry as a neuroimaging biomarker for Alzheimer's disease: an MRI study of 676 AD, MCI, and normal subjects.

Hua X, Leow AD, Parikshak N, Lee S, Chiang MC, Toga AW, Jack CR Jr, Weiner MW, Thompson PM; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2008 Nov 15;43(3):458-69. doi: 10.1016/j.neuroimage.2008.07.013. Epub 2008 Jul 22.

16.

Volume reduction in subcortical regions according to severity of Alzheimer's disease.

Roh JH, Qiu A, Seo SW, Soon HW, Kim JH, Kim GH, Kim MJ, Lee JM, Na DL.

J Neurol. 2011 Jun;258(6):1013-20. doi: 10.1007/s00415-010-5872-1. Epub 2011 Jan 15.

PMID:
21240517
17.

MRI hippocampal and entorhinal cortex mapping in predicting conversion to Alzheimer's disease.

Devanand DP, Bansal R, Liu J, Hao X, Pradhaban G, Peterson BS.

Neuroimage. 2012 Apr 15;60(3):1622-9. doi: 10.1016/j.neuroimage.2012.01.075. Epub 2012 Jan 25.

18.

Global and local gray matter loss in mild cognitive impairment and Alzheimer's disease.

Karas GB, Scheltens P, Rombouts SA, Visser PJ, van Schijndel RA, Fox NC, Barkhof F.

Neuroimage. 2004 Oct;23(2):708-16.

PMID:
15488420
19.

Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's disease.

Leung KK, Barnes J, Ridgway GR, Bartlett JW, Clarkson MJ, Macdonald K, Schuff N, Fox NC, Ourselin S; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2010 Jul 15;51(4):1345-59. doi: 10.1016/j.neuroimage.2010.03.018. Epub 2010 Mar 15.

20.

Conversion of mild cognitive impairment to Alzheimer disease predicted by hippocampal atrophy maps.

Apostolova LG, Dutton RA, Dinov ID, Hayashi KM, Toga AW, Cummings JL, Thompson PM.

Arch Neurol. 2006 May;63(5):693-9. Erratum in: Arch Neurol. 2007 Sep;64(9):1360-1.

PMID:
16682538

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