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Stuart Oldham

Showing results (11-20 of 32) with videos related to

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Brain Imaging and Behavior|June 29, 2022
Investigating longitudinal changes to frontal cortico-striatal tracts in Huntington's disease: the IMAGE-HD studyBrendan Tan, Rosita Shishegar, Stuart Oldham, et al.
Neuroimage|March 11, 2022
On the intersection between data quality and dynamical modelling of large-scale fMRI signalsKevin M Aquino, Ben Fulcher, Stuart Oldham, et al.
Neuroimage|August 18, 2020
The efficacy of different preprocessing steps in reducing motion-related confounds in diffusion MRI connectomicsStuart Oldham, Aurina Arnatkevic Iūtė, Robert E Smith, et al.
Science Advances|June 3, 2022
Modeling spatial, developmental, physiological, and topological constraints on human brain connectivityStuart Oldham, Ben D Fulcher, Kevin Aquino, et al.
Neuroimage|February 23, 2023
Parameter estimation for connectome generative models: Accuracy, reliability, and a fast parameter fitting methodYuanzhe Liu, Caio Seguin, Sina Mansour, et al.
Network Neuroscience (Cambridge, Mass.)|December 25, 2023
Can hubs of the human connectome be identified consistently with diffusion MRI?Mehul Gajwani, Stuart Oldham, James C Pang, et al.
Brain Imaging and Behavior|June 30, 2022
Associations of cardiorespiratory fitness and exercise with brain white matter in healthy adults: A systematic review and meta-analysisSuzan Maleki, Joshua Hendrikse, Yann Chye, et al.
Network Neuroscience (Cambridge, Mass.)|February 22, 2021
Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brainJohn Fallon, Phillip G D Ward, Linden Parkes, et al.
Science Advances|July 15, 2021
Dynamical consequences of regional heterogeneity in the brain's transcriptional landscapeGustavo Deco, Morten L Kringelbach, Aurina Arnatkeviciute, et al.
Network Neuroscience (Cambridge, Mass.)|January 15, 2026
Benchmarking overlapping community detection methods for applications in human connectomicsAnnie G Bryant, Aditi Jha, Sumeet Agarwal, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
Brain Imaging and Behavior|June 29, 2022
Investigating longitudinal changes to frontal cortico-striatal tracts in Huntington's disease: the IMAGE-HD studyBrendan Tan, Rosita Shishegar, Stuart Oldham, et al.
Neuroimage|March 11, 2022
On the intersection between data quality and dynamical modelling of large-scale fMRI signalsKevin M Aquino, Ben Fulcher, Stuart Oldham, et al.
Neuroimage|August 18, 2020
The efficacy of different preprocessing steps in reducing motion-related confounds in diffusion MRI connectomicsStuart Oldham, Aurina Arnatkevic Iūtė, Robert E Smith, et al.
Science Advances|June 3, 2022
Modeling spatial, developmental, physiological, and topological constraints on human brain connectivityStuart Oldham, Ben D Fulcher, Kevin Aquino, et al.
Neuroimage|February 23, 2023
Parameter estimation for connectome generative models: Accuracy, reliability, and a fast parameter fitting methodYuanzhe Liu, Caio Seguin, Sina Mansour, et al.
Network Neuroscience (Cambridge, Mass.)|December 25, 2023
Can hubs of the human connectome be identified consistently with diffusion MRI?Mehul Gajwani, Stuart Oldham, James C Pang, et al.
Brain Imaging and Behavior|June 30, 2022
Associations of cardiorespiratory fitness and exercise with brain white matter in healthy adults: A systematic review and meta-analysisSuzan Maleki, Joshua Hendrikse, Yann Chye, et al.
Network Neuroscience (Cambridge, Mass.)|February 22, 2021
Timescales of spontaneous fMRI fluctuations relate to structural connectivity in the brainJohn Fallon, Phillip G D Ward, Linden Parkes, et al.
Science Advances|July 15, 2021
Dynamical consequences of regional heterogeneity in the brain's transcriptional landscapeGustavo Deco, Morten L Kringelbach, Aurina Arnatkeviciute, et al.
Network Neuroscience (Cambridge, Mass.)|January 15, 2026
Benchmarking overlapping community detection methods for applications in human connectomicsAnnie G Bryant, Aditi Jha, Sumeet Agarwal, et al.
Pageof 4