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Samuel J Harrison

Showing results (11-20 of 25) with videos related to

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Neuroimage|May 11, 2018
Multi-subject hierarchical inverse covariance modelling improves estimation of functional brain networksGiles L Colclough, Mark W Woolrich, Samuel J Harrison, et al.
Neuroimage|January 20, 2015
Large-scale probabilistic functional modes from resting state fMRISamuel J Harrison, Mark W Woolrich, Emma C Robinson, et al.
Brain : a Journal of Neurology|April 5, 2023
Altered nucleus accumbens functional connectivity precedes apathy in Parkinson's diseaseLee-Anne Morris, Samuel J Harrison, Tracy R Melzer, et al.
Neuroimage|April 27, 2019
Classification of temporal ICA components for separating global noise from fMRI data: Reply to PowerMatthew F Glasser, Timothy S Coalson, Janine D Bijsterbosch, et al.
Neuroimage|May 14, 2018
Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI dataMatthew F Glasser, Timothy S Coalson, Janine D Bijsterbosch, et al.
Neuroimage|August 11, 2020
Modelling subject variability in the spatial and temporal characteristics of functional modesSamuel J Harrison, Janine D Bijsterbosch, Andrew R Segerdahl, et al.
Elife|February 17, 2018
The relationship between spatial configuration and functional connectivity of brain regionsJanine Diane Bijsterbosch, Mark W Woolrich, Matthew F Glasser, et al.
Neurology|February 17, 2025
Author Response: Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson DiseaseCampbell Le Heron, Kyla-Louise Horne, Michael R Macaskill, et al.
Behavioural Brain Research|April 17, 2026
KMO Deletion Preserves Non-Associative Learning and SVZ Neurogenesis in Aging MiceMiguel A de la Flor, Natalia Kuhn-Sandoval, Danielle Santana-Coelho, et al.
Human Brain Mapping|February 4, 2021
Regression dynamic causal modeling for resting-state fMRIStefan Frässle, Samuel J Harrison, Jakob Heinzle, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Neuroimage|May 11, 2018
Multi-subject hierarchical inverse covariance modelling improves estimation of functional brain networksGiles L Colclough, Mark W Woolrich, Samuel J Harrison, et al.
Neuroimage|January 20, 2015
Large-scale probabilistic functional modes from resting state fMRISamuel J Harrison, Mark W Woolrich, Emma C Robinson, et al.
Brain : a Journal of Neurology|April 5, 2023
Altered nucleus accumbens functional connectivity precedes apathy in Parkinson's diseaseLee-Anne Morris, Samuel J Harrison, Tracy R Melzer, et al.
Neuroimage|April 27, 2019
Classification of temporal ICA components for separating global noise from fMRI data: Reply to PowerMatthew F Glasser, Timothy S Coalson, Janine D Bijsterbosch, et al.
Neuroimage|May 14, 2018
Using temporal ICA to selectively remove global noise while preserving global signal in functional MRI dataMatthew F Glasser, Timothy S Coalson, Janine D Bijsterbosch, et al.
Neuroimage|August 11, 2020
Modelling subject variability in the spatial and temporal characteristics of functional modesSamuel J Harrison, Janine D Bijsterbosch, Andrew R Segerdahl, et al.
Elife|February 17, 2018
The relationship between spatial configuration and functional connectivity of brain regionsJanine Diane Bijsterbosch, Mark W Woolrich, Matthew F Glasser, et al.
Neurology|February 17, 2025
Author Response: Cross-Sectional and Longitudinal Association of Clinical and Neurocognitive Factors With Apathy in Patients With Parkinson DiseaseCampbell Le Heron, Kyla-Louise Horne, Michael R Macaskill, et al.
Behavioural Brain Research|April 17, 2026
KMO Deletion Preserves Non-Associative Learning and SVZ Neurogenesis in Aging MiceMiguel A de la Flor, Natalia Kuhn-Sandoval, Danielle Santana-Coelho, et al.
Human Brain Mapping|February 4, 2021
Regression dynamic causal modeling for resting-state fMRIStefan Frässle, Samuel J Harrison, Jakob Heinzle, et al.
Pageof 3