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Brain Connectivity
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April 11, 2018
Sparse Graphical Models for Functional Connectivity Networks: Best Methods and the Autocorrelation Issue
Yunan Zhu, Ivor Cribben
Neuroimage
|
June 8, 2018
A longitudinal model for functional connectivity networks using resting-state fMRI
Brian Hart, Ivor Cribben, Mark Fiecas, et al.
Medical Image Analysis
|
October 26, 2021
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity
Andreas Anastasiou, Ivor Cribben, Piotr Fryzlewicz
Imaging Neuroscience (Cambridge, Mass.)
|
August 13, 2025
Factorized binary search: Change point detection in the network structure of multivariate high-dimensional time series
Martin Ondrus, Emily Olds, Ivor Cribben
Frontiers in Human Neuroscience
|
July 30, 2016
Imaging Imageability: Behavioral Effects and Neural Correlates of Its Interaction with Affect and Context
Chris F Westbury, Ivor Cribben, Jacqueline Cummine
Biometrics
|
April 28, 2020
Generalized reliability based on distances
Meng Xu, Philip T Reiss, Ivor Cribben
Neuroscience
|
August 14, 2017
Neurological evaluation of the selection stage of metaphor comprehension in individuals with and without autism spectrum disorder
Brea Chouinard, Joanne Volden, Ivor Cribben, et al.
Brain Research
|
November 7, 2022
Diffusion tensor imaging of superficial prefrontal white matter in healthy aging
Wojciech Pietrasik, Ivor Cribben, Fraser Olsen, et al.
Frontiers in Computational Neuroscience
|
November 8, 2013
Detecting functional connectivity change points for single-subject fMRI data
Ivor Cribben, Tor D Wager, Martin A Lindquist
Neuroimage
|
January 29, 2017
A variance components model for statistical inference on functional connectivity networks
Mark Fiecas, Ivor Cribben, Reyhaneh Bahktiari, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 22) with videos related to
Sort By:
Page
of 3
Brain Connectivity
|
April 11, 2018
Sparse Graphical Models for Functional Connectivity Networks: Best Methods and the Autocorrelation Issue
Yunan Zhu, Ivor Cribben
Neuroimage
|
June 8, 2018
A longitudinal model for functional connectivity networks using resting-state fMRI
Brian Hart, Ivor Cribben, Mark Fiecas, et al.
Medical Image Analysis
|
October 26, 2021
Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity
Andreas Anastasiou, Ivor Cribben, Piotr Fryzlewicz
Imaging Neuroscience (Cambridge, Mass.)
|
August 13, 2025
Factorized binary search: Change point detection in the network structure of multivariate high-dimensional time series
Martin Ondrus, Emily Olds, Ivor Cribben
Frontiers in Human Neuroscience
|
July 30, 2016
Imaging Imageability: Behavioral Effects and Neural Correlates of Its Interaction with Affect and Context
Chris F Westbury, Ivor Cribben, Jacqueline Cummine
Biometrics
|
April 28, 2020
Generalized reliability based on distances
Meng Xu, Philip T Reiss, Ivor Cribben
Neuroscience
|
August 14, 2017
Neurological evaluation of the selection stage of metaphor comprehension in individuals with and without autism spectrum disorder
Brea Chouinard, Joanne Volden, Ivor Cribben, et al.
Brain Research
|
November 7, 2022
Diffusion tensor imaging of superficial prefrontal white matter in healthy aging
Wojciech Pietrasik, Ivor Cribben, Fraser Olsen, et al.
Frontiers in Computational Neuroscience
|
November 8, 2013
Detecting functional connectivity change points for single-subject fMRI data
Ivor Cribben, Tor D Wager, Martin A Lindquist
Neuroimage
|
January 29, 2017
A variance components model for statistical inference on functional connectivity networks
Mark Fiecas, Ivor Cribben, Reyhaneh Bahktiari, et al.
Page
of 3