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Non-parametric model selection for subject-specific topological organization of resting-state functional connectivity.

, , , , , , , and . NeuroImage, 56 (3): 1453-1462 (2011)

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General, crystallized and fluid intelligence are not associated with functional global network efficiency: A replication study with the human connectome project 1200 data set., , , , and . NeuroImage, (2018)Non-parametric model selection for subject-specific topological organization of resting-state functional connectivity., , , , , , , and . NeuroImage, 56 (3): 1453-1462 (2011)Sliding-window analysis tracks fluctuations in amygdala functional connectivity associated with physiological arousal and vigilance during fear conditioning., , , , and . NeuroImage, (2017)Classification of Major Depressive Disorder via Multi-Site Weighted LASSO Model., , , , , , , , , and 5 other author(s). CoRR, (2017)Classification of Major Depressive Disorder via Multi-site Weighted LASSO Model., , , , , , , , , and 6 other author(s). MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 159-167. Springer, (2017)The impact of "physiological correction" on functional connectivity analysis of pharmacological resting state fMRI., , , , , , , , and . NeuroImage, (2013)Evaluating the replicability, specificity, and generalizability of connectome fingerprints., , , , , , and . NeuroImage, (2017)Ketamine interactions with biomarkers of stress: A randomized placebo-controlled repeated measures resting-state fMRI and PCASL pilot study in healthy men., , , , , , , , , and 1 other author(s). NeuroImage, (2015)Beyond acute social stress: Increased functional connectivity between amygdala and cortical midline structures., , , , , and . NeuroImage, 57 (4): 1534-1541 (2011)