Matteo Pardini1, Carole H Sudre2, Ferran Prados3, Özgür Yaldizli4, Varun Sethi5, Nils Muhlert6, Rebecca S Samson5, Steven H van de Pavert5, M Jorge Cardoso2, Sebastien Ourselin2, Claudia A M Gandini Wheeler-Kingshott7, David H Miller8, Declan T Chard8. 1. Department of Neuroinflammation, NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, London, UK Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa and IRCCS AOU San Martino-IST, Genoa, Italy. 2. Department of Medical Physics and Bioengineering, Translational Imaging Group, Centre for Medical Image Computing (CMIC), University College London, London, UK Dementia Research Centre, UCL Institute of Neurology, London, UK. 3. Department of Neuroinflammation, NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, London, UK Department of Medical Physics and Bioengineering, Translational Imaging Group, Centre for Medical Image Computing (CMIC), University College London, London, UK. 4. Department of Neuroinflammation, NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, London, UK Department of Neurology, University Hospital Basel, Basel, Switzerland. 5. Department of Neuroinflammation, NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, London, UK. 6. Department of Neuroinflammation, NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, London, UK School of Psychology and Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, UK School of Psychological Sciences, University of Manchester, Manchester UK. 7. Department of Neuroinflammation, NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, London, UK Brain MRI 3T Center, C. Mondino National Neurological Institute, Pavia, Italy Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy. 8. Department of Neuroinflammation, NMR Research Unit, Queen Square MS Centre, UCL Institute of Neurology, London, UK National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.
Abstract
OBJECTIVE: To assess the association between proximity to the inner (ventricular and aqueductal) and outer (pial) surfaces of the brain and the distribution of normal appearing white matter (NAWM) and grey matter (GM) abnormalities, and white matter (WM) lesions, in multiple sclerosis (MS). METHODS: 67 people with relapse-onset MS and 30 healthy controls were included in the study. Volumetric T1 images and high-resolution (1 mm3) magnetisation transfer ratio (MTR) images were acquired and segmented into 12 bands between the inner and outer surfaces of the brain. The first and last bands were discarded to limit partial volume effects with cerebrospinal fluid. MTR values were computed for all bands in supratentorial NAWM, cerebellar NAWM and brainstem NA tissue, and deep and cortical GM. Band WM lesion volumes were also measured. RESULTS: Proximity to the ventricular surfaces was associated with progressively lower MTR values in the MS group but not in controls in supratentorial and cerebellar NAWM, brainstem NA and in deep and cortical GM. The density of WM lesions was associated with proximity to the ventricles only in the supratentorial compartment, and no link was found with distance from the pial surfaces. CONCLUSIONS: In MS, MTR abnormalities in NAWM and GM are related to distance from the inner and outer surfaces of the brain, and this suggests that there is a common factor underlying their spatial distribution. A similar pattern was not found for WM lesions, raising the possibility that different factors promote their formation. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
OBJECTIVE: To assess the association between proximity to the inner (ventricular and aqueductal) and outer (pial) surfaces of the brain and the distribution of normal appearing white matter (NAWM) and grey matter (GM) abnormalities, and white matter (WM) lesions, in multiple sclerosis (MS). METHODS: 67 people with relapse-onset MS and 30 healthy controls were included in the study. Volumetric T1 images and high-resolution (1 mm3) magnetisation transfer ratio (MTR) images were acquired and segmented into 12 bands between the inner and outer surfaces of the brain. The first and last bands were discarded to limit partial volume effects with cerebrospinal fluid. MTR values were computed for all bands in supratentorial NAWM, cerebellar NAWM and brainstem NA tissue, and deep and cortical GM. Band WM lesion volumes were also measured. RESULTS: Proximity to the ventricular surfaces was associated with progressively lower MTR values in the MS group but not in controls in supratentorial and cerebellar NAWM, brainstem NA and in deep and cortical GM. The density of WM lesions was associated with proximity to the ventricles only in the supratentorial compartment, and no link was found with distance from the pial surfaces. CONCLUSIONS: In MS, MTR abnormalities in NAWM and GM are related to distance from the inner and outer surfaces of the brain, and this suggests that there is a common factor underlying their spatial distribution. A similar pattern was not found for WM lesions, raising the possibility that different factors promote their formation. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.
Authors: Hugh G Pemberton; Olivia Goodkin; Ferran Prados; Ravi K Das; Sjoerd B Vos; James Moggridge; William Coath; Elizabeth Gordon; Ryan Barrett; Anne Schmitt; Hefina Whiteley-Jones; Christian Burd; Mike P Wattjes; Sven Haller; Meike W Vernooij; Lorna Harper; Nick C Fox; Ross W Paterson; Jonathan M Schott; Sotirios Bisdas; Mark White; Sebastien Ourselin; John S Thornton; Tarek A Yousry; M Jorge Cardoso; Frederik Barkhof Journal: Eur Radiol Date: 2021-01-15 Impact factor: 5.315
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Authors: Rafael Romero-Garcia; Jakob Seidlitz; Kirstie J Whitaker; Sarah E Morgan; Peter Fonagy; Raymond J Dolan; Peter B Jones; Ian M Goodyer; John Suckling; Petra E Vértes; Edward T Bullmore Journal: Biol Psychiatry Date: 2019-12-13 Impact factor: 13.382
Authors: Arman Eshaghi; Ferran Prados; Wallace J Brownlee; Daniel R Altmann; Carmen Tur; M Jorge Cardoso; Floriana De Angelis; Steven H van de Pavert; Niamh Cawley; Nicola De Stefano; M Laura Stromillo; Marco Battaglini; Serena Ruggieri; Claudio Gasperini; Massimo Filippi; Maria A Rocca; Alex Rovira; Jaume Sastre-Garriga; Hugo Vrenken; Cyra E Leurs; Joep Killestein; Lukas Pirpamer; Christian Enzinger; Sebastien Ourselin; Claudia A M Gandini Wheeler-Kingshott; Declan Chard; Alan J Thompson; Daniel C Alexander; Frederik Barkhof; Olga Ciccarelli Journal: Ann Neurol Date: 2018-02-06 Impact factor: 10.422
Authors: Arman Eshaghi; Razvan V Marinescu; Alexandra L Young; Nicholas C Firth; Ferran Prados; M Jorge Cardoso; Carmen Tur; Floriana De Angelis; Niamh Cawley; Wallace J Brownlee; Nicola De Stefano; M Laura Stromillo; Marco Battaglini; Serena Ruggieri; Claudio Gasperini; Massimo Filippi; Maria A Rocca; Alex Rovira; Jaume Sastre-Garriga; Jeroen J G Geurts; Hugo Vrenken; Viktor Wottschel; Cyra E Leurs; Bernard Uitdehaag; Lukas Pirpamer; Christian Enzinger; Sebastien Ourselin; Claudia A Gandini Wheeler-Kingshott; Declan Chard; Alan J Thompson; Frederik Barkhof; Daniel C Alexander; Olga Ciccarelli Journal: Brain Date: 2018-06-01 Impact factor: 13.501