Hanwen Liu1,2, Cristina Rubino3, Adam V Dvorak1,2, Michael Jarrett4,5, Emil Ljungberg6, Irene M Vavasour7, Lisa Eunyoung Lee8, Shannon H Kolind1,2,7,8, Erin L MacMillan5,9,10, Anthony Traboulsee8, Donna J Lang7, Alexander Rauscher1,4,5,7, David K B Li7,8, Alexander L MacKay1,5,7, Lara A Boyd11, John L K Kramer2,12, Cornelia Laule1,2,7,8,13. 1. Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada. 2. International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada. 3. Rehabilitation Sciences, University of British Columbia, Vancouver, British Columbia, Canada. 4. Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada. 5. UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada. 6. Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK. 7. Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada. 8. Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada. 9. MR Clinical Science, Philips Healthcare Canada, Markham, Ontario, Canada. 10. ImageTech Lab, Simon Fraser University, Surrey, British Columbia, Canada. 11. Department of Physical Therapy, University of British Columbia, Vancouver, British Columbia, Canada. 12. Department of Kinesiology, University of British Columbia, Vancouver, British Columbia, Canada. 13. Department of Pathology & Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Abstract
BACKGROUND AND PURPOSE: Myelin water imaging (MWI) is a magnetic resonance imaging technique that quantifies myelin in-vivo. Although MWI has been extensively applied to study myelin-related diseases in groups, clinical use in individual patients is challenging mainly due to population heterogeneity. The purpose of this study was twofold: (1) create a normative brain myelin water atlas depicting the population mean and regional variability of myelin content; and (2) apply the myelin atlas to assess the degree of demyelination in individuals with multiple sclerosis (MS). METHODS: 3T MWI was performed on 50 healthy adults (25 M/25 F, mean age 25 years [range 17-42 years]). The myelin water atlas was created by averaging coregistered myelin water fraction (MWF) maps from all healthy individuals. To illustrate the preliminary utility of the atlas, white matter (WM) regional MWF variations were evaluated and voxel-wise z-score maps (z < -1.96) from the MWI of three MS participants were produced to assess individually the degree of demyelination. RESULTS: The myelin water atlas demonstrated significant MWF variation across control WM. No significant MWF differences were found between male and female healthy participants. MS z-score maps revealed diffuse regions of demyelination in the two participants with Expanded Disability Status Scale (EDSS) = 2.0 but not in the participant with EDSS = 0. CONCLUSIONS: The myelin water atlas can be used as a reference (URL: https://sourceforge.net/projects/myelin-water-atlas/) to demonstrate areas of demyelination in individual MS participants. Future studies will expand the atlas age range, account for education, and other variables that may affect myelination.
BACKGROUND AND PURPOSE: Myelin water imaging (MWI) is a magnetic resonance imaging technique that quantifies myelin in-vivo. Although MWI has been extensively applied to study myelin-related diseases in groups, clinical use in individual patients is challenging mainly due to population heterogeneity. The purpose of this study was twofold: (1) create a normative brain myelin water atlas depicting the population mean and regional variability of myelin content; and (2) apply the myelin atlas to assess the degree of demyelination in individuals with multiple sclerosis (MS). METHODS: 3T MWI was performed on 50 healthy adults (25 M/25 F, mean age 25 years [range 17-42 years]). The myelin water atlas was created by averaging coregistered myelin water fraction (MWF) maps from all healthy individuals. To illustrate the preliminary utility of the atlas, white matter (WM) regional MWF variations were evaluated and voxel-wise z-score maps (z < -1.96) from the MWI of three MS participants were produced to assess individually the degree of demyelination. RESULTS: The myelin water atlas demonstrated significant MWF variation across control WM. No significant MWF differences were found between male and female healthy participants. MS z-score maps revealed diffuse regions of demyelination in the two participants with Expanded Disability Status Scale (EDSS) = 2.0 but not in the participant with EDSS = 0. CONCLUSIONS: The myelin water atlas can be used as a reference (URL: https://sourceforge.net/projects/myelin-water-atlas/) to demonstrate areas of demyelination in individual MS participants. Future studies will expand the atlas age range, account for education, and other variables that may affect myelination.
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: Adam V Dvorak; Emil Ljungberg; Irene M Vavasour; Lisa Eunyoung Lee; Shawna Abel; David K B Li; Anthony Traboulsee; Alex L MacKay; Shannon H Kolind Journal: Sci Rep Date: 2021-01-14 Impact factor: 4.379
Authors: Alexis Reymbaut; Jeffrey Critchley; Giuliana Durighel; Tim Sprenger; Michael Sughrue; Karin Bryskhe; Daniel Topgaard Journal: Magn Reson Med Date: 2020-12-10 Impact factor: 4.668
Authors: Adam V Dvorak; Taylor Swift-LaPointe; Irene M Vavasour; Lisa Eunyoung Lee; Shawna Abel; Bretta Russell-Schulz; Carina Graf; Anika Wurl; Hanwen Liu; Cornelia Laule; David K B Li; Anthony Traboulsee; Roger Tam; Lara A Boyd; Alex L MacKay; Shannon H Kolind Journal: Sci Rep Date: 2021-01-11 Impact factor: 4.379
Authors: Anna Rubinski; Nicolai Franzmeier; Anna Dewenter; Ying Luan; Ruben Smith; Olof Strandberg; Rik Ossenkoppele; Martin Dichgans; Oskar Hansson; Michael Ewers Journal: Alzheimers Res Ther Date: 2022-09-24 Impact factor: 8.823