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Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies.

, , , , , , , and . NeuroImage, (2019)

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A cognitive state transformation model for task-general and task-specific subsystems of the brain connectome., , , , , and . NeuroImage, (2022)Dynamic functional connectivity during task performance and rest predicts individual differences in attention across studies., , , , , , , and . NeuroImage, (2019)Functional Connectivity during Encoding Predicts Individual Differences in Long-Term Memory., , , , and . J. Cogn. Neurosci., 33 (11): 2279-2296 (2021)Quantitative analysis of hemodynamic and metabolic changes in subcortical vascular dementia using simultaneous near-infrared spectroscopy and fMRI measurements., , , , , and . NeuroImage, 55 (1): 176-184 (2011)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)Independent Component Analysis of Localized Resting-State Functional Magnetic Resonance Imaging Reveals Specific Motor Subnetworks., , and . Brain Connect., 2 (4): 218-224 (2012)Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets., , , , , , , and . NeuroImage, (2018)Multivariate approaches improve the reliability and validity of functional connectivity and prediction of individual behaviors., , , , , and . NeuroImage, (2019)