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Feasibility of diffusion-tensor and correlated diffusion imaging for studying white-matter microstructural abnormalities: Application in COVID-19.
Teller, Nick; Chad, Jordan A; Wong, Alexander; Gunraj, Hayden; Ji, Xiang; Goubran, Maged; Gilboa, Asaf; Roudaia, Eugenie; Sekuler, Allison; Churchill, Nathan; Schweizer, Tom; Gao, Fuqiang; Masellis, Mario; Lam, Benjamin; Heyn, Chris; Cheng, Ivy; Fowler, Robert; Black, Sandra E; MacIntosh, Bradley J; Graham, Simon J; Chen, J Jean.
Afiliación
  • Teller N; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Chad JA; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Wong A; Department of Medical Biophysics, University of Toronto, Toronto, Canada.
  • Gunraj H; Department of System Design Engineering, University of Waterloo, Waterloo, Canada.
  • Ji X; Department of System Design Engineering, University of Waterloo, Waterloo, Canada.
  • Goubran M; Sunnybrook Research Institute, Sunnybrook Health Science Centre, Toronto, Canada.
  • Gilboa A; Department of Medical Biophysics, University of Toronto, Toronto, Canada.
  • Roudaia E; Sunnybrook Research Institute, Sunnybrook Health Science Centre, Toronto, Canada.
  • Sekuler A; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Churchill N; Department of Psychology, University of Toronto, Toronto, Canada.
  • Schweizer T; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Gao F; Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada.
  • Masellis M; Department of Psychology, University of Toronto, Toronto, Canada.
  • Lam B; Neuroscience Research Program, St. Michael's Hospital, Toronto, Canada.
  • Heyn C; Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, Canada.
  • Cheng I; Department of Physics, Toronto Metropolitan University, Toronto, Canada.
  • Fowler R; Neuroscience Research Program, St. Michael's Hospital, Toronto, Canada.
  • Black SE; Keenan Research Centre for Biomedical Science of St. Michael's Hospital, Toronto, Canada.
  • MacIntosh BJ; Department of Neurosurgery, University of Toronto, Toronto, Canada.
  • Graham SJ; Sunnybrook Research Institute, Sunnybrook Health Science Centre, Toronto, Canada.
  • Chen JJ; Sunnybrook Research Institute, Sunnybrook Health Science Centre, Toronto, Canada.
Hum Brain Mapp ; 44(10): 3998-4010, 2023 07.
Article en En | MEDLINE | ID: mdl-37162380
There has been growing attention on the effect of COVID-19 on white-matter microstructure, especially among those that self-isolated after being infected. There is also immense scientific interest and potential clinical utility to evaluate the sensitivity of single-shell diffusion magnetic resonance imaging (MRI) methods for detecting such effects. In this work, the performances of three single-shell-compatible diffusion MRI modeling methods are compared for detecting the effect of COVID-19, including diffusion-tensor imaging, diffusion-tensor decomposition of orthogonal moments and correlated diffusion imaging. Imaging was performed on self-isolated patients at the study initiation and 3-month follow-up, along with age- and sex-matched controls. We demonstrate through simulations and experimental data that correlated diffusion imaging is associated with far greater sensitivity, being the only one of the three single-shell methods to demonstrate COVID-19-related brain effects. Results suggest less restricted diffusion in the frontal lobe in COVID-19 patients, but also more restricted diffusion in the cerebellar white matter, in agreement with several existing studies highlighting the vulnerability of the cerebellum to COVID-19 infection. These results, taken together with the simulation results, suggest that a significant proportion of COVID-19 related white-matter microstructural pathology manifests as a change in tissue diffusivity. Interestingly, different b-values also confer different sensitivities to the effects. No significant difference was observed in patients at the 3-month follow-up, likely due to the limited size of the follow-up cohort. To summarize, correlated diffusion imaging is shown to be a viable single-shell diffusion analysis approach that allows us to uncover opposing patterns of diffusion changes in the frontal and cerebellar regions of COVID-19 patients, suggesting the two regions react differently to viral infection.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sustancia Blanca / COVID-19 Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sustancia Blanca / COVID-19 Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Brain Mapp Asunto de la revista: CEREBRO Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos