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Distributed Patterns of Functional Connectivity Predict Working Memory Performance in Novel Healthy and Memory-impaired Individuals.

, , , , , , , , and . J. Cogn. Neurosci., 32 (2): 241-255 (2020)

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Combining Multiple Connectomes via Canonical Correlation Analysis Improves Predictive Models., , , and . MICCAI (3), volume 11072 of Lecture Notes in Computer Science, page 349-356. Springer, (2018)Adaptive mechanisms of developing brain: Cerebral lateralization in the prematurely-born., , , , , , , and . NeuroImage, (2015)The (in)stability of functional brain network measures across thresholds., , , , and . NeuroImage, (2015)An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks., , , , and . NeuroImage, (2018)Individualized functional networks reconfigure with cognitive state., , , , and . NeuroImage, (2020)Associations among Household and Neighborhood Socioeconomic Disadvantages, Resting-state Frontoamygdala Connectivity, and Internalizing Symptoms in Youth., , , , , , , , , and 2 other author(s). J. Cogn. Neurosci., 34 (10): 1810-1841 (2022)Enhancement attacks in biomedical machine learning., , and . CoRR, (2023)Large-scale differences in functional organization of left- and right-handed individuals using whole-brain, data-driven analysis of connectivity., , , , , , and . NeuroImage, (2022)A fetal fMRI specific motion correction algorithm using 2nd order edge features., , , , , , and . ISBI, page 1288-1292. IEEE, (2018)Task integration for connectome-based prediction via canonical correlation analysis., , , and . ISBI, page 87-91. IEEE, (2018)