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1739 Total Publications

Integrating discretization and association rule-based classification for Alzheimer’s disease diagnosis.
Chaves, R., Ramírez, J., & Górriz, J. M.
2013; Journal Expert Systems with Applications; vol. 40; no. 5; pp. 1571-1578; doi:10.1016/j.eswa.2012.09.003
Combining boundary-based methods with tensor-based morphometry in the measurement of longitudinal brain change.
Fletcher, E., Knaack, A., Singh, B., Lloyd, E., Wu, E., Carmichael, O., & DeCarli, C.
2013; Journal IEEE Transactions on Medical Imaging; vol. 32; no. 2; pp. 223-36; doi:10.1109/TMI.2012.2220153
Brain changes in older adults at very low risk for Alzheimer’s disease.
Fjell, A. M., McEvoy, L., Holland, D., Dale, A. M., & Walhovd, K. B.
2013; Journal Journal of Neuroscience; vol. 33; no. 19; pp. 8237-42; doi:10.1523/JNEUROSCI.5506-12.2013
Cognitive dysfunction and greater visit-to-visit systolic blood pressure variability.
Epstein, N. U., Lane, K. A., Farlow, M. R., Risacher, S. L., Saykin, A. J., Gao, S., … Gao, S.
2013; Journal Journal of the American Geriatrics Society; vol. 61; no. 12; pp. 2168-2173; doi:10.1111/jgs.12542
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.
Bernal-Rusiel, J. L., Greve, D. N., Reuter, M., Fischl, B., & Sabuncu, M. R.
2013; Journal Neuroimage; vol. 66; pp. 249-260; doi:10.1016/j.neuroimage.2012.10.065
Dimensionality reduced cortical features and their use in predicting longitudinal changes in Alzheimer’s disease.
Park, H., Yang, J. J., Seo, J., & Lee, J. M.
2013; Journal Neuroscience Letters; vol. 550; pp. 17-22; doi:10.1016/j.neulet.2013.06.042
Whole-exome sequencing and imaging genetics identify functional variants for rate of change in hippocampal volume in mild cognitive impairment.
Nho, K., Corneveaux, J. J., Kim, S., Lin, H., Risacher, S. L., Shen, L., … Saykin, A. J.
2013; Journal Molecular Psychiatry; vol. 18; no. 7; pp. 781-7; doi:10.1038/mp.2013.24
Maximizing power to track Alzheimer’s disease and MCI progression by LDA-based weighting of longitudinal ventricular surface features.
Gutman, B. a., Hua, X., Rajagopalan, P., Chou, Y. Y., Wang, Y., Yanovsky, I., … Thompson, P. M.
2013; Journal Neuroimage; vol. 70; pp. 386-401; doi:10.1016/j.neuroimage.2012.12.052
Polymorphism in the TOMM40 gene modifies the risk of developing sporadic inclusion body myositis and the age of onset of symptoms
Mastaglia, F. L., Rojana-udomsart, A., James, I., Needham, M., Day, T. J., Kiers, L., … Roses, A. D.
2013; Journal Neuromuscular Disorders; vol. 23; no. 12; pp. 969-74; doi:10.1016/j.nmd.2013.09.008
Effects of baseline CSF alpha-synuclein on regional brain atrophy rates in healthy elders, mild cognitive impairment and Alzheimer’s disease.
Mattsson, N., Insel, P., Tosun, D., Zhang, J., Jack Jr., C. R., Galasko, D., … Weiner, M.
2013; Journal PloS One; vol. 8; no. 12; pp. e85443; doi:10.1371/journal.pone.0085443