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A multivariate analysis of age-related differences in default mode and task-positive networks across multiple cognitive domains

, , , , , , , , and . Cereb. Cortex, 20 (6): 1432--1447 (June 2010)

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A reversible jump Markov chain Monte Carlo algorithm for analysis of functional neuroimages., , , , and . ICIP (3), page 133-136. IEEE, (2002)An evaluation of methods for detecting brain activations from functional neuroimages., , and . Artif. Intell. Medicine, 25 (1): 69-88 (2002)Generative versus discriminative training of RBMs for classification of fMRI images., , , , and . NIPS, page 1409-1416. Curran Associates, Inc., (2008)Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover., , , , , , , and . IPMI, volume 1230 of Lecture Notes in Computer Science, page 259-270. Springer, (1997)Evaluating subject specific preprocessing choices in multisubject fMRI data sets using data-driven performance metrics., , , , , , , , and . NeuroImage, 19 (3): 988-1001 (2003)The Associative Memory Deficit in Aging Is Related to Reduced Selectivity of Brain Activity during Encoding., , , , , and . J. Cognitive Neuroscience, 28 (9): 1331-1344 (2016)The NPAIRS Computational Statistics Framework for Data Analysis in Neuroimaging., , , and . COMPSTAT, page 111-120. Physica-Verlag, (2010)The Impact of Preprocessing Pipeline Choice in Univariate and Multivariate Analyses of PET Data., , , , , and . PRNI, page 1-4. IEEE, (2018)Data-driven optimization and evaluation of 2D EPI and 3D PRESTO for BOLD fMRI at 7 Tesla: I. Focal coverage., , , and . NeuroImage, 55 (3): 1034-1043 (2011)Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs., , , , , , , , , and 11 other author(s). Neuroinformatics, 19 (4): 597-618 (2021)