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3393 Total Publications

A single nucleotide polymorphism associated with reduced alcohol intake in the RASGRF2 gene predicts larger cortical volumes but faster longitudinal ventricular expansion in the elderly
Roussotte, F. F., Gutman, B. A., Hibar, D. P., Jahanshad, N., Madsen, S. K., Jack, C. R., … Thompson, P. M.
PMID: 24409144 ; PMCID:3867747 ; 2013; Journal Frontiers in Aging Neuroscience; vol. 5; pp. 93; doi:10.3389/fnagi.2013.00093

Establishing the psychometric underpinning of cognition measures for clinical trials of Alzheimer's disease and its precursors: A new approach
Posner, H. B., Cano, S., Carrillo, M. C., Selnes, O., Stern, Y., Thomas, R. G., … Hobart, J.
PMID: 23391006 ; 2013; Journal Alzheimer's and Dementia; vol. 9; pp. 56-60; doi:10.1016/j.jalz.2012.10.008

A Dynamical Clustering Model of Brain Connectivity Inspired by the N -Body Problem
Prasad G1, Burkart J2, Joshi SH, Nir TM, Toga AW, Thompson PM
PMID: 25340177 ; PMCID:4203319 ; 2013; Journal Multimodal Brain Image Anal (2013); vol. 8159; pp. 129-137; doi:10.1007/978-3-319-02126-3_13

Predicting AD conversion: comparison between prodromal AD guidelines and computer assisted PredictAD tool
Liu, Y., Mattila, J., Ruiz, M. Á. M., Paajanen, T., Koikkalainen, J., van Gils, M., … Soininen, H.
2013; Journal PloS One; vol. 8; no. 2; pp. e55246; doi:10.1371/journal.pone.0055246

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

Generative FDG-PET and MRI model of aging and disease progression in Alzheimer’s disease.
Dukart, J., Kherif, F., Mueller, K., Adaszewski, S., Schroeter, M. L., Frackowiak, R. S. J., & Draganski, B.
2013; Journal PLoS Computational Biology; vol. 9; no. 4; pp. e1002987; doi:10.1371/journal.pcbi.1002987

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; doi:10.1007/s10548-012-0246-x

The receiver operational characteristic for binary classification with multiple indices and its application to the neuroimaging study of Alzheimer’s disease.
Wu, X., Li, J., Ayutyanont, N., Protas, H., Jagust, W., Fleisher, A., … Chen, K.
2013; Journal IEEE/ACM Transactions on Computational Biology and Bioinformatics; vol. 10; no. 1; pp. 173-80; doi:10.1109/TCBB.2012.141

Efficient Parallel Transport of Deformations in Time Series of Images: From Schild’s to Pole Ladder.
Lorenzi, M., & Pennec, X.
2013; Journal Journal of Mathematical Imaging and Vision; pp. 1-13; doi:10.1007/s10851-013-0470-3

STEPS: Similarity and Truth Estimation for Propagated Segmentations and its application to hippocampal segmentation and brain parcelation.
Jorge Cardoso, M., Leung, K., Modat, M., Keihaninejad, S., Cash, D., Barnes, J., … Ourselin, S.
2013; Journal Medical Image Analysis; vol. 17; no. 6; pp. 671-84; doi:10.1016/j.media.2013.02.006