Sara Collorone1, Niamh Cawley1, Francesco Grussu2, Ferran Prados2, Francesca Tona1, Alberto Calvi3, Baris Kanber4, Torben Schneider5, Lucas Kipp6, Hui Zhang4, Daniel C Alexander4, Alan J Thompson1, Ahmed Toosy1, Claudia Am Gandini Wheeler-Kingshott7, Olga Ciccarelli8. 1. NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK. 2. NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK. 3. NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Department of Pathophysiology and Transplantation, Neurodegenerative Disease Unit, La Fondazione IRCCS Ospedale Maggiore Policlinico Mangiagalli e Regina Elena, University of Milan, Milan, Italy. 4. Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK. 5. NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Philips UK, Guildford, UK. 6. NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Stanford MS Center, Department of Neurology & Neurological Sciences, Stanford University, Palo Alto, CA, USA. 7. NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy/Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy. 8. NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London (UCL), London, UK/National Institute for Health Research University College London Hospitals Biomedical Research Centre, London, UK.
Abstract
BACKGROUND: Multiple sclerosis (MS) affects both brain and spinal cord. However, studies of the neuraxis with advanced magnetic resonance imaging (MRI) are rare because of long acquisition times. We investigated neurodegeneration in MS brain and cervical spinal cord using neurite orientation dispersion and density imaging (NODDI). OBJECTIVE: The aim of this study was to investigate possible alterations, and their clinical relevance, in neurite morphology along the brain and cervical spinal cord of relapsing-remitting MS (RRMS) patients. METHODS: In total, 28 RRMS patients and 20 healthy controls (HCs) underwent brain and spinal cord NODDI at 3T. Physical and cognitive disability was assessed. Individual maps of orientation dispersion index (ODI) and neurite density index (NDI) in brain and spinal cord were obtained. We examined differences in NODDI measures between groups and the relationships between NODDI metrics and clinical scores using linear regression models adjusted for age, sex and brain tissue volumes or cord cross-sectional area (CSA). RESULTS: Patients showed lower NDI in the brain normal-appearing white matter (WM) and spinal cord WM than HCs. In patients, a lower NDI in the spinal cord WM was associated with higher disability. CONCLUSION: Reduced neurite density occurs in the neuraxis but, especially when affecting the spinal cord, it may represent a mechanism of disability in MS.
BACKGROUND:Multiple sclerosis (MS) affects both brain and spinal cord. However, studies of the neuraxis with advanced magnetic resonance imaging (MRI) are rare because of long acquisition times. We investigated neurodegeneration in MS brain and cervical spinal cord using neurite orientation dispersion and density imaging (NODDI). OBJECTIVE: The aim of this study was to investigate possible alterations, and their clinical relevance, in neurite morphology along the brain and cervical spinal cord of relapsing-remitting MS (RRMS) patients. METHODS: In total, 28 RRMS patients and 20 healthy controls (HCs) underwent brain and spinal cord NODDI at 3T. Physical and cognitive disability was assessed. Individual maps of orientation dispersion index (ODI) and neurite density index (NDI) in brain and spinal cord were obtained. We examined differences in NODDI measures between groups and the relationships between NODDI metrics and clinical scores using linear regression models adjusted for age, sex and brain tissue volumes or cord cross-sectional area (CSA). RESULTS:Patients showed lower NDI in the brain normal-appearing white matter (WM) and spinal cord WM than HCs. In patients, a lower NDI in the spinal cord WM was associated with higher disability. CONCLUSION: Reduced neurite density occurs in the neuraxis but, especially when affecting the spinal cord, it may represent a mechanism of disability in MS.
Authors: Paolo Preziosa; Elisabetta Pagani; Alessandro Meani; Olga Marchesi; Lorenzo Conti; Andrea Falini; Maria A Rocca; Massimo Filippi Journal: J Neurol Date: 2022-10-06 Impact factor: 6.682
Authors: Ann-Marie Beaudoin; François Rheault; Guillaume Theaud; Frédéric Laberge; Kevin Whittingstall; Albert Lamontagne; Maxime Descoteaux Journal: Front Neurosci Date: 2021-08-10 Impact factor: 4.677
Authors: Cristina Granziera; Jens Wuerfel; Frederik Barkhof; Massimiliano Calabrese; Nicola De Stefano; Christian Enzinger; Nikos Evangelou; Massimo Filippi; Jeroen J G Geurts; Daniel S Reich; Maria A Rocca; Stefan Ropele; Àlex Rovira; Pascal Sati; Ahmed T Toosy; Hugo Vrenken; Claudia A M Gandini Wheeler-Kingshott; Ludwig Kappos Journal: Brain Date: 2021-06-22 Impact factor: 13.501
Authors: Sara Collorone; Ferran Prados; Baris Kanber; Niamh M Cawley; Carmen Tur; Francesco Grussu; Bhavana S Solanky; Marios Yiannakas; Indran Davagnanam; Claudia A M Gandini Wheeler-Kingshott; Frederik Barkhof; Olga Ciccarelli; Ahmed T Toosy Journal: Brain Date: 2021-06-22 Impact factor: 13.501
Authors: Daniel Johnson; Antonio Ricciardi; Wallace Brownlee; Baris Kanber; Ferran Prados; Sara Collorone; Enrico Kaden; Ahmed Toosy; Daniel C Alexander; Claudia A M Gandini Wheeler-Kingshott; Olga Ciccarelli; Francesco Grussu Journal: Front Neurol Date: 2021-06-14 Impact factor: 4.003