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Items: 1 to 20 of 26

1.

Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification.

Davatzikos C, Bhatt P, Shaw LM, Batmanghelich KN, Trojanowski JQ.

Neurobiol Aging. 2011 Dec;32(12):2322.e19-27. doi: 10.1016/j.neurobiolaging.2010.05.023. Epub 2010 Jul 1.

2.

Automatic classification of patients with Alzheimer's disease from structural MRI: a comparison of ten methods using the ADNI database.

Cuingnet R, Gerardin E, Tessieras J, Auzias G, Lehéricy S, Habert MO, Chupin M, Benali H, Colliot O; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2011 May 15;56(2):766-81. doi: 10.1016/j.neuroimage.2010.06.013. Epub 2010 Jun 11.

PMID:
20542124
3.

Investigating the predictive value of whole-brain structural MR scans in autism: a pattern classification approach.

Ecker C, Rocha-Rego V, Johnston P, Mourao-Miranda J, Marquand A, Daly EM, Brammer MJ, Murphy C, Murphy DG; MRC AIMS Consortium.

Neuroimage. 2010 Jan 1;49(1):44-56. doi: 10.1016/j.neuroimage.2009.08.024. Epub 2009 Aug 14.

PMID:
19683584
4.

MRI and CSF biomarkers in normal, MCI, and AD subjects: diagnostic discrimination and cognitive correlations.

Vemuri P, Wiste HJ, Weigand SD, Shaw LM, Trojanowski JQ, Weiner MW, Knopman DS, Petersen RC, Jack CR Jr; Alzheimer's Disease Neuroimaging Initiative.

Neurology. 2009 Jul 28;73(4):287-93. doi: 10.1212/WNL.0b013e3181af79e5.

5.

Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset.

Hinrichs C, Singh V, Mukherjee L, Xu G, Chung MK, Johnson SC; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2009 Oct 15;48(1):138-49. doi: 10.1016/j.neuroimage.2009.05.056. Epub 2009 May 27.

6.

Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index.

Davatzikos C, Xu F, An Y, Fan Y, Resnick SM.

Brain. 2009 Aug;132(Pt 8):2026-35. doi: 10.1093/brain/awp091. Epub 2009 May 4.

7.

Alzheimer disease: quantitative structural neuroimaging for detection and prediction of clinical and structural changes in mild cognitive impairment.

McEvoy LK, Fennema-Notestine C, Roddey JC, Hagler DJ Jr, Holland D, Karow DS, Pung CJ, Brewer JB, Dale AM; Alzheimer's Disease Neuroimaging Initiative.

Radiology. 2009 Apr;251(1):195-205. doi: 10.1148/radiol.2511080924. Epub 2009 Feb 6.

8.

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.

9.

Amnestic MCI future clinical status prediction using baseline MRI features.

Duchesne S, Bocti C, De Sousa K, Frisoni GB, Chertkow H, Collins DL.

Neurobiol Aging. 2010 Sep;31(9):1606-17. doi: 10.1016/j.neurobiolaging.2008.09.003. Epub 2008 Oct 22.

PMID:
18947902
10.

Healthy brain aging: a meeting report from the Sylvan M. Cohen Annual Retreat of the University of Pennsylvania Institute on Aging.

Bain LJ, Jedrziewski K, Morrison-Bogorad M, Albert M, Cotman C, Hendrie H, Trojanowski JQ.

Alzheimers Dement. 2008 Nov;4(6):443-6. doi: 10.1016/j.jalz.2008.08.006. Epub 2008 Oct 22. No abstract available.

11.

Structural and functional biomarkers of prodromal Alzheimer's disease: a high-dimensional pattern classification study.

Fan Y, Resnick SM, Wu X, Davatzikos C.

Neuroimage. 2008 Jun;41(2):277-85. doi: 10.1016/j.neuroimage.2008.02.043. Epub 2008 Mar 6.

12.

MRI-based automated computer classification of probable AD versus normal controls.

Duchesne S, Caroli A, Geroldi C, Barillot C, Frisoni GB, Collins DL.

IEEE Trans Med Imaging. 2008 Apr;27(4):509-20. doi: 10.1109/TMI.2007.908685.

PMID:
18390347
13.

Automatic classification of MR scans in Alzheimer's disease.

Klöppel S, Stonnington CM, Chu C, Draganski B, Scahill RI, Rohrer JD, Fox NC, Jack CR Jr, Ashburner J, Frackowiak RS.

Brain. 2008 Mar;131(Pt 3):681-9. doi: 10.1093/brain/awm319. Epub 2008 Jan 17.

14.

Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline.

Fan Y, Batmanghelich N, Clark CM, Davatzikos C; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage. 2008 Feb 15;39(4):1731-43. Epub 2007 Nov 1.

15.

Unaffected family members and schizophrenia patients share brain structure patterns: a high-dimensional pattern classification study.

Fan Y, Gur RE, Gur RC, Wu X, Shen D, Calkins ME, Davatzikos C.

Biol Psychiatry. 2008 Jan 1;63(1):118-24. Epub 2007 Jun 6.

16.

COMPARE: classification of morphological patterns using adaptive regional elements.

Fan Y, Shen D, Gur RC, Gur RE, Davatzikos C.

IEEE Trans Med Imaging. 2007 Jan;26(1):93-105.

PMID:
17243588
17.

Hippocampus volume loss due to chronic heavy drinking.

Beresford TP, Arciniegas DB, Alfers J, Clapp L, Martin B, Du Y, Liu D, Shen D, Davatzikos C.

Alcohol Clin Exp Res. 2006 Nov;30(11):1866-70.

PMID:
17067350
18.

Hypercortisolism in alcohol dependence and its relation to hippocampal volume loss.

Beresford TP, Arciniegas DB, Alfers J, Clapp L, Martin B, Beresford HF, Du Y, Liu D, Shen D, Davatzikos C, Laudenslager ML.

J Stud Alcohol. 2006 Nov;67(6):861-7.

PMID:
17061003
19.

Past adult lead exposure is linked to neurodegeneration measured by brain MRI.

Stewart WF, Schwartz BS, Davatzikos C, Shen D, Liu D, Wu X, Todd AC, Shi W, Bassett S, Youssem D.

Neurology. 2006 May 23;66(10):1476-84.

PMID:
16717205
20.

Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain.

Resnick SM, Pham DL, Kraut MA, Zonderman AB, Davatzikos C.

J Neurosci. 2003 Apr 15;23(8):3295-301.

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