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Emily S Finn

Showing results (41-50 of 61) with videos related to

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Nature Protocols|February 10, 2017
Using connectome-based predictive modeling to predict individual behavior from brain connectivityXilin Shen, Emily S Finn, Dustin Scheinost, et al.
Neuroimage|December 30, 2019
Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanningGang Chen, Paul A Taylor, Xianggui Qu, et al.
Nature Communications|July 14, 2023
The default network dominates neural responses to evolving movie storiesEnning Yang, Filip Milisav, Jakub Kopal, et al.
Neuroimage|April 11, 2020
Idiosynchrony: From shared responses to individual differences during naturalistic neuroimagingEmily S Finn, Enrico Glerean, Arman Y Khojandi, et al.
Frontiers in Neurology|June 5, 2013
Potential use and challenges of functional connectivity mapping in intractable epilepsyRobert Todd Constable, Dustin Scheinost, Emily S Finn, et al.
Nature Neuroscience|October 13, 2015
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivityEmily S Finn, Xilin Shen, Dustin Scheinost, et al.
Biological Psychiatry|October 16, 2013
Disruption of functional networks in dyslexia: a whole-brain, data-driven analysis of connectivityEmily S Finn, Xilin Shen, John M Holahan, et al.
Neuroimage|September 26, 2023
Inter-subject correlation during long narratives reveals widespread neural correlates of reading abilityDavid C Jangraw, Emily S Finn, Peter A Bandettini, et al.
Psychological Medicine|March 24, 2025
Brain functional connectivity and anatomical features as predictors of cognitive behavioral therapy outcome for anxiety in youthsAndre Zugman, Grace V Ringlein, Emily S Finn, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Brain Functional Connectivity and Anatomical Features as Predictors of Cognitive Behavioral Therapy Outcome for Anxiety in YouthsAndre Zugman, Grace V Ringlein, Emily S Finn, et al.
Pageof 7

Showing results (41-50 of 61) with videos related to

Sort By:
Pageof 7
Nature Protocols|February 10, 2017
Using connectome-based predictive modeling to predict individual behavior from brain connectivityXilin Shen, Emily S Finn, Dustin Scheinost, et al.
Neuroimage|December 30, 2019
Untangling the relatedness among correlations, part III: Inter-subject correlation analysis through Bayesian multilevel modeling for naturalistic scanningGang Chen, Paul A Taylor, Xianggui Qu, et al.
Nature Communications|July 14, 2023
The default network dominates neural responses to evolving movie storiesEnning Yang, Filip Milisav, Jakub Kopal, et al.
Neuroimage|April 11, 2020
Idiosynchrony: From shared responses to individual differences during naturalistic neuroimagingEmily S Finn, Enrico Glerean, Arman Y Khojandi, et al.
Frontiers in Neurology|June 5, 2013
Potential use and challenges of functional connectivity mapping in intractable epilepsyRobert Todd Constable, Dustin Scheinost, Emily S Finn, et al.
Nature Neuroscience|October 13, 2015
Functional connectome fingerprinting: identifying individuals using patterns of brain connectivityEmily S Finn, Xilin Shen, Dustin Scheinost, et al.
Biological Psychiatry|October 16, 2013
Disruption of functional networks in dyslexia: a whole-brain, data-driven analysis of connectivityEmily S Finn, Xilin Shen, John M Holahan, et al.
Neuroimage|September 26, 2023
Inter-subject correlation during long narratives reveals widespread neural correlates of reading abilityDavid C Jangraw, Emily S Finn, Peter A Bandettini, et al.
Psychological Medicine|March 24, 2025
Brain functional connectivity and anatomical features as predictors of cognitive behavioral therapy outcome for anxiety in youthsAndre Zugman, Grace V Ringlein, Emily S Finn, et al.
Medrxiv : the Preprint Server for Health Sciences|February 14, 2024
Brain Functional Connectivity and Anatomical Features as Predictors of Cognitive Behavioral Therapy Outcome for Anxiety in YouthsAndre Zugman, Grace V Ringlein, Emily S Finn, et al.
Pageof 7