Risultati della ricerca - Dustin Scheinost

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  1. 1
    Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low‐dimensional space of brain dynamics

    Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low‐dimensional space of brain dynamics di Siyuan Gao, Gal Mishne, Dustin Scheinost

    Pubblicazione 2021
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  2. 2
    The impact of image smoothness on intrinsic functional connectivity and head motion confounds

    The impact of image smoothness on intrinsic functional connectivity and head motion confounds di Dustin Scheinost, Xenophon Papademetris, R. Todd Constable

    Pubblicazione 2014
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  3. 3
    A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis

    A decade of test-retest reliability of functional connectivity: A systematic review and meta-analysis di Stephanie Noble, Dustin Scheinost, R. Todd Constable

    Pubblicazione 2019
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  4. 4
    Cluster failure or power failure? Evaluating sensitivity in cluster-level inference

    Cluster failure or power failure? Evaluating sensitivity in cluster-level inference di Stephanie Noble, Dustin Scheinost, R. Todd Constable

    Pubblicazione 2019
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  5. 5
    A guide to the measurement and interpretation of fMRI test-retest reliability

    A guide to the measurement and interpretation of fMRI test-retest reliability di Stephanie Noble, Dustin Scheinost, R. Todd Constable

    Pubblicazione 2021
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  6. 6
    Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research

    Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research di Sarah W. Yip, Brian D. Kiluk, Dustin Scheinost

    Pubblicazione 2019
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  7. 7
    The tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research

    The tip of the iceberg: A call to embrace anti-localizationism in human neuroscience research di Stephanie Noble, Joshua Curtiss, Luiz Pessoa, Dustin Scheinost

    Pubblicazione 2024
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  8. 8
    Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks

    Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks di Maolin Qiu, Dustin Scheinost, Ramachandran Ramani, R. Todd Constable

    Pubblicazione 2017
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  9. 9
    Maternal Immune Activation During the Third Trimester Is Associated with Neonatal Functional Connectivity of the Salience Network and Fetal to Toddler Behavior

    Maternal Immune Activation During the Third Trimester Is Associated with Neonatal Functional Connectivity of the Salience Network and Fetal to Toddler Behavior di Marisa N. Spann, Catherine Monk, Dustin Scheinost, Bradley S. Peterson

    Pubblicazione 2018
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  10. 10
    Task-induced brain state manipulation improves prediction of individual traits

    Task-induced brain state manipulation improves prediction of individual traits di Abigail S. Greene, Siyuan Gao, Dustin Scheinost, R. Todd Constable

    Pubblicazione 2018
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  11. 11
    The individual functional connectome is unique and stable over months to years

    The individual functional connectome is unique and stable over months to years di Corey Horien, Xilin Shen, Dustin Scheinost, R. Todd Constable

    Pubblicazione 2019
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  12. 12
    Combining multiple connectomes improves predictive modeling of phenotypic measures

    Combining multiple connectomes improves predictive modeling of phenotypic measures di Siyuan Gao, Abigail S. Greene, R. Todd Constable, Dustin Scheinost

    Pubblicazione 2019
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  13. 13
    Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference

    Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference di Stephanie Noble, Amanda F. Mejia, Andrew Zalesky, Dustin Scheinost

    Pubblicazione 2022
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  14. 14
    Data leakage inflates prediction performance in connectome-based machine learning models

    Data leakage inflates prediction performance in connectome-based machine learning models di Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, Stephanie Noble, Dustin Scheinost

    Pubblicazione 2024
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  15. 15
    BOLD signal and functional connectivity associated with loving kindness meditation

    BOLD signal and functional connectivity associated with loving kindness meditation di Kathleen A. Garrison, Dustin Scheinost, R. Todd Constable, Judson A. Brewer

    Pubblicazione 2014
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  16. 16
    Cingulate cortex functional connectivity predicts future relapse in alcohol dependent individuals

    Cingulate cortex functional connectivity predicts future relapse in alcohol dependent individuals di Yasmin Zakiniaeiz, Dustin Scheinost, Dongju Seo, Rajita Sinha, R. Todd Constable

    Pubblicazione 2016
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  17. 17
    An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks

    An exemplar-based approach to individualized parcellation reveals the need for sex specific functional networks di Mehraveh Salehi, Amin Karbasi, Xilin Shen, Dustin Scheinost, R. Todd Constable

    Pubblicazione 2017
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  18. 18
    Connectome-Based Prediction of Cocaine Abstinence

    Connectome-Based Prediction of Cocaine Abstinence di Sarah W. Yip, Dustin Scheinost, Marc N. Potenza, Kathleen M. Carroll

    Pubblicazione 2019
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  19. 19
    Individualized functional networks reconfigure with cognitive state

    Individualized functional networks reconfigure with cognitive state di Mehraveh Salehi, Amin Karbasi, Daniel S. Barron, Dustin Scheinost, R. Todd Constable

    Pubblicazione 2019
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  20. 20
    How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships

    How Tasks Change Whole-Brain Functional Organization to Reveal Brain-Phenotype Relationships di Abigail S. Greene, Siyuan Gao, Stephanie Noble, Dustin Scheinost, R. Todd Constable

    Pubblicazione 2020
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