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1800 Total Publications

Regional magnetic resonance imaging measures for multivariate analysis in Alzheimer’s disease and mild cognitive impairment.
Westman, E., Aguilar, C., Muehlboeck, J.-S., & Simmons, A.
2013; Journal Brain Topography; vol. 26; no. 1; pp. 9-23; AWUVFyWqwAl_G9zjEvgj doi:10.1007/s10548-012-0246-x
Heart-type fatty acid binding protein and vascular endothelial growth factor: cerebrospinal fluid biomarker candidates for Alzheimer’s disease.
Guo, L.-H., Alexopoulos, P., & Perneczky, R.
2013; Journal European Archives of Psychiatry and Clinical Neuroscience; vol. 263; no. 7; pp. 553-60; AWUVFyWqwAl_G9zjEvgl doi:10.1007/s00406-013-0405-4
Biomarker-based prediction of progression in MCI: Comparison of AD signature and hippocampal volume with spinal fluid amyloid-β and tau.
Dickerson, B. C., & Wolk, D. A.
2013; Journal Frontiers in Aging Neuroscience; vol. 5; pp. 55; AWUVFyWqwAl_G9zjEvgm doi:10.3389/fnagi.2013.00055
Dynamics of brain structure and cognitive function in the Alzheimer’s disease neuroimaging initiative.
Song, X., Mitnitski, A., Zhang, N., Chen, W., & Rockwood, K.
2013; Journal Journal of Neurology, Neurosurgery, and Psychiatry; vol. 84; no. 1; pp. 71-8; AWUVFyWqwAl_G9zjEvgu doi:10.1136/jnnp-2012-303579
Amyloid-β imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods.
Landau, S. M., Breault, C., Joshi, A. D., Pontecorvo, M., Mathis, C. a, Jagust, W. J., & Mintun, M. a.
2013; Journal Journal of Nuclear Medicine; vol. 54; no. 1; pp. 70-7; AWUVFyWqwAl_G9zjEvgv doi:10.2967/jnumed.112.109009
Identifying multi-analyte CSF biomarkers for Alzheimer’s disease in a multi-cohort study.
Leung YY, Toledo J, Nefedov A, et al.
2013; Journal Alzheimer's and Dementia; vol. 9; no. 4; pp. 128-9; AWUVFUjTMOwVf_qbJr8L
Evaluation of plasma proteomic data for Alzheimer disease state classification and for the prediction of progression from mild cognitive impairment to Alzheimer disease.
Llano, D. a, Devanarayan, V., & Simon, A. J.
2013; Journal Alzheimer's Disease and Associated Disorders; vol. 27; no. 3; pp. 233-43; AWUVFUjTMOwVf_qbJr8O doi:10.1097/WAD.0b013e31826d597a
Biomarker-based prediction of progression in MCI: Comparison of AD signature and hippocampal volume with spinal fluid amyloid-β and tau.
Dickerson, B. C., & Wolk, D. A.
2013; Journal Frontiers in Aging Neuroscience; vol. 5; pp. 55; AWUVFUjTMOwVf_qbJr8U doi:10.3389/fnagi.2013.00055
Teichmüller shape descriptor and its application to alzheimer’s disease study.
Zeng, W., Shi, R., Wang, Y., Yau, S. T., & Gu, X.
2013; Journal International Journal of Computer Vision; vol. 105; pp. 155-170; AWUVFUjTMOwVf_qbJr8Y doi:10.1007/s11263-012-0586-8
Critical ages in the life course of the adult brain: nonlinear subcortical aging.
Fjell, A. M., Westlye, L. T., Grydeland, H., Amlien, I., Espeseth, T., Reinvang, I., … Walhovd, K. B.
2013; Journal Neurobiology of Aging; vol. 34; no. 10; pp. 2239-47; AWUVGYvTMOwVf_qbJr8z doi:10.1016/j.neurobiolaging.2013.04.006