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Neuroimage
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November 11, 2022
Leveraging edge-centric networks complements existing network-level inference for functional connectomes
Raimundo X Rodriguez, Stephanie Noble, Link Tejavibulya, et al.
Neuroimage
|
January 11, 2017
Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks
Maolin Qiu, Dustin Scheinost, Ramachandran Ramani, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
August 4, 2022
Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference
Stephanie Noble, Amanda F Mejia, Andrew Zalesky, et al.
Neuroimage
|
February 6, 2019
The individual functional connectome is unique and stable over months to years
Corey Horien, Xilin Shen, Dustin Scheinost, et al.
Nature Communications
|
July 20, 2018
Task-induced brain state manipulation improves prediction of individual traits
Abigail S Greene, Siyuan Gao, Dustin Scheinost, et al.
Nature Communications
|
February 28, 2024
Data leakage inflates prediction performance in connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
Nature Neuroscience
|
November 3, 2025
Connectome caricatures remove large-amplitude coactivation patterns in resting-state fMRI to emphasize individual differences
Raimundo X Rodriguez, Stephanie Noble, Chris C Camp, et al.
The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry
|
July 16, 2019
Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function
Corey Horien, Abigail S Greene, R Todd Constable, et al.
Neuroimage
|
July 24, 2019
Combining multiple connectomes improves predictive modeling of phenotypic measures
Siyuan Gao, Abigail S Greene, R Todd Constable, et al.
Neuroscience
|
April 12, 2016
Neural Correlates of Success and Failure Signals During Neurofeedback Learning
Joaquim Radua, Teodora Stoica, Dustin Scheinost, et al.
Page
of 25
Search research articles
Search
Showing results (21-30 of 242) with videos related to
Sort By:
Page
of 25
Neuroimage
|
November 11, 2022
Leveraging edge-centric networks complements existing network-level inference for functional connectomes
Raimundo X Rodriguez, Stephanie Noble, Link Tejavibulya, et al.
Neuroimage
|
January 11, 2017
Multi-modal analysis of functional connectivity and cerebral blood flow reveals shared and unique effects of propofol in large-scale brain networks
Maolin Qiu, Dustin Scheinost, Ramachandran Ramani, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
August 4, 2022
Improving power in functional magnetic resonance imaging by moving beyond cluster-level inference
Stephanie Noble, Amanda F Mejia, Andrew Zalesky, et al.
Neuroimage
|
February 6, 2019
The individual functional connectome is unique and stable over months to years
Corey Horien, Xilin Shen, Dustin Scheinost, et al.
Nature Communications
|
July 20, 2018
Task-induced brain state manipulation improves prediction of individual traits
Abigail S Greene, Siyuan Gao, Dustin Scheinost, et al.
Nature Communications
|
February 28, 2024
Data leakage inflates prediction performance in connectome-based machine learning models
Matthew Rosenblatt, Link Tejavibulya, Rongtao Jiang, et al.
Nature Neuroscience
|
November 3, 2025
Connectome caricatures remove large-amplitude coactivation patterns in resting-state fMRI to emphasize individual differences
Raimundo X Rodriguez, Stephanie Noble, Chris C Camp, et al.
The Neuroscientist : a Review Journal Bringing Neurobiology, Neurology and Psychiatry
|
July 16, 2019
Regions and Connections: Complementary Approaches to Characterize Brain Organization and Function
Corey Horien, Abigail S Greene, R Todd Constable, et al.
Neuroimage
|
July 24, 2019
Combining multiple connectomes improves predictive modeling of phenotypic measures
Siyuan Gao, Abigail S Greene, R Todd Constable, et al.
Neuroscience
|
April 12, 2016
Neural Correlates of Success and Failure Signals During Neurofeedback Learning
Joaquim Radua, Teodora Stoica, Dustin Scheinost, et al.
Page
of 25