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Declan T Chard

Showing results (41-50 of 74) with videos related to

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Multiple Sclerosis (Houndmills, Basingstoke, England)|October 6, 2012
ADvanced IMage Algebra (ADIMA): a novel method for depicting multiple sclerosis lesion heterogeneity, as demonstrated by quantitative MRIMarios C Yiannakas, Daniel J Tozer, Klaus Schmierer, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|July 19, 2023
Networks of microstructural damage predict disability in multiple sclerosisElisa Colato, Ferran Prados, Jonathan Stutters, et al.
Journal of Neurology|January 15, 2025
Explaining cognitive function in multiple sclerosis through networks of grey and white matter features: a joint independent component analysisSenne B Lageman, Amy Jolly, Nitin Sahi, et al.
Brain : a Journal of Neurology|March 5, 2004
Early development of multiple sclerosis is associated with progressive grey matter atrophy in patients presenting with clinically isolated syndromesCatherine M Dalton, Declan T Chard, Gerard R Davies, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|April 21, 2021
Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumesElisa Colato, Jonathan Stutters, Carmen Tur, et al.
Brain Communications|July 30, 2024
Longitudinal network-based brain grey matter MRI measures are clinically relevant and sensitive to treatment effects in multiple sclerosisElisa Colato, Jonathan Stutters, Sridar Narayanan, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 26, 2003
Application of a B-spline active surface technique to the measurement of cervical cord volume in multiple sclerosis from three-dimensional MR imagesSimon J Hickman, Olivier Coulon, Geoffrey J M Parker, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|October 26, 2020
Increased functional sensorimotor network efficiency relates to disability in multiple sclerosisMyrte Strik, Declan T Chard, Iris Dekker, et al.
Brain Communications|February 26, 2025
Exploratory analysis of biological age measures in a remyelination clinical trialChristopher E McMurran, Ermelinda de Meo, Nick G Cunniffe, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|November 24, 2018
Structural network disruption markers explain disability in multiple sclerosisThalis Charalambous, Carmen Tur, Ferran Prados, et al.
Pageof 8

Showing results (41-50 of 74) with videos related to

Sort By:
Pageof 8
Multiple Sclerosis (Houndmills, Basingstoke, England)|October 6, 2012
ADvanced IMage Algebra (ADIMA): a novel method for depicting multiple sclerosis lesion heterogeneity, as demonstrated by quantitative MRIMarios C Yiannakas, Daniel J Tozer, Klaus Schmierer, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|July 19, 2023
Networks of microstructural damage predict disability in multiple sclerosisElisa Colato, Ferran Prados, Jonathan Stutters, et al.
Journal of Neurology|January 15, 2025
Explaining cognitive function in multiple sclerosis through networks of grey and white matter features: a joint independent component analysisSenne B Lageman, Amy Jolly, Nitin Sahi, et al.
Brain : a Journal of Neurology|March 5, 2004
Early development of multiple sclerosis is associated with progressive grey matter atrophy in patients presenting with clinically isolated syndromesCatherine M Dalton, Declan T Chard, Gerard R Davies, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|April 21, 2021
Predicting disability progression and cognitive worsening in multiple sclerosis using patterns of grey matter volumesElisa Colato, Jonathan Stutters, Carmen Tur, et al.
Brain Communications|July 30, 2024
Longitudinal network-based brain grey matter MRI measures are clinically relevant and sensitive to treatment effects in multiple sclerosisElisa Colato, Jonathan Stutters, Sridar Narayanan, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 26, 2003
Application of a B-spline active surface technique to the measurement of cervical cord volume in multiple sclerosis from three-dimensional MR imagesSimon J Hickman, Olivier Coulon, Geoffrey J M Parker, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|October 26, 2020
Increased functional sensorimotor network efficiency relates to disability in multiple sclerosisMyrte Strik, Declan T Chard, Iris Dekker, et al.
Brain Communications|February 26, 2025
Exploratory analysis of biological age measures in a remyelination clinical trialChristopher E McMurran, Ermelinda de Meo, Nick G Cunniffe, et al.
Journal of Neurology, Neurosurgery, and Psychiatry|November 24, 2018
Structural network disruption markers explain disability in multiple sclerosisThalis Charalambous, Carmen Tur, Ferran Prados, et al.
Pageof 8