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1800 Total Publications

3D maps localize caudate nucleus atrophy in 400 Alzheimer’s disease, mild cognitive impairment, and healthy elderly subjects
Madsen, S. K., Ho, a J., Hua, X., Saharan, P. S., Toga, a W., Jack, C. R., … Thompson, P. M.
PMID: 20538376 ; PMCID:2903198 ; 2010; Journal Neurobiology of Aging; vol. 31; no. 8; pp. 1312-25; AWTYNIDFwAl_G9zjEvbD doi:10.1016/j.neurobiolaging.2010.05.002
Cortical thickness is associated with different apolipoprotein E genotypes in healthy elderly adults
Fan, M., Liu, B., Zhou, Y., Zhen, X., Xu, C., Jiang, T., & Initiative, A. D. N.
PMID: 20573574 ; PMCID:2954463 ; 2010; Journal Neuroscience Letters; vol. 479; no. 3; pp. 332-336; AWTYGAtkMOwVf_qbJr4a doi:10.1016/j.neulet.2010.05.092
Cortical Gray Matter Atrophy in Healthy Aging Cannot Be Explained by Undetected Incipient Cognitive Disorders: A Comment on Burgmans et al. (2009)
Fjell, A. M., Westlye, L. T., Espeseth, T., Reinvang, I., Walhovd, K. B., Dale, A. M., & Holland, D.
PMID: 20230119 ; PMCID:3068612 ; 2010; Journal Neuropsychology; vol. 24; no. 2; pp. 258-266; AWTYGAtkMOwVf_qbJr4o doi:10.1037/a0018827
CSF biomarkers in prediction of cerebral and clinical change in Mild Cognitive Impairment and Alzheimer's Disease
Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D., … Dale, A. M.
PMID: 20147537 ; PMCID:2828879 ; 2010; Journal Journal of Neuroscience; vol. 30; no. 6; pp. 2088-101; AWTYGAtkMOwVf_qbJr4t doi:10.1523/JNEUROSCI.3785-09.2010
Disease progression model for cognitive deterioration from Alzheimer’s Disease Neuroimaging Initiative database
Ito K1, Corrigan B, Zhao Q, French J, Miller R, Soares H, Katz E, Nicholas T, Billing B, Anziano R, Fullerton T; Alzheimer's Disease Neuroimaging Initiative
PMID: 20810324 ; 2010; Journal Alzheimers Dementia; vol. 7; no. 2; pp. 151-60; AWTYJDUyMOwVf_qbJr5o doi:10.1016/j.jalz.2010.03.018
Japanese Alzheimer’s Disease Neuroimaging Initiative: Present status and future
Iwatsubo T1
PMID: 20451880 ; 2010; Journal Alzheimers Dementia; vol. 6; no. 3; pp. 297-9; AWTYJDUyMOwVf_qbJr5q doi:10.1016/j.jalz.2010.03.011
Multivariate Data Analysis for Neuroimaging Data: Overview and Application to Alzheimer’s Disease
Habeck, C., & Stern, Y.
PMID: 20658269 ; PMCID:3001346 ; 2010; Journal Cell Biochemistry and Biophysics; vol. 58; no. 2; pp. 53-67; AWTYH9GudzjauPDbjhmJ doi:10.1007/s12013-010-9093-0
Basics of Multivariate Analysis in Neuroimaging Data
Habeck, C. G.
PMID: 20689509 ; PMCID:3074457 ; 2010; Journal Journal of Visualized Experiments; vol. 41; pp. 1-6; AWTYH9GudzjauPDbjhmK doi:10.3791/1988
Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multi-atlas based anatomical segmentation
Marshall, G. A., Rentz, D. M., Frey, M. T., Locascio, J. J., Johnson, K. A., & Sperling, R. A.
PMID: 20114079 ; 2010; Journal Neuroimage; vol. 51; no. 1; pp. 221-227; AWTYH9GudzjauPDbjhmY doi:10.1016/j.neuroimage.2010.01.072
Brain Ventricular Volume and Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease
Ott, B. R., Cohen, R. A., Gongvatana, A., Okonkwo, O. C., Johanson, C. E., Stopa, E. G., … Alzheimer’s Disease Neuroimaging Initiative.
PMID: 20182051 ; PMCID:3078034 ; 2010; Journal J Alzheimers Dis; vol. 20; no. 2; pp. 647-57; AWTYjl7cwAl_G9zjEvc5 doi:10.3233/JAD-2010-1406