Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity

Author:

Haddad Seyyed M. H.1ORCID,Scott Christopher J. M.23,Ozzoude Miracle23,Berezuk Courtney4,Holmes Melissa23,Adamo Sabrina5,Ramirez Joel23,Arnott Stephen R.6,Nanayakkara Nuwan D.1ORCID,Binns Malcolm6,Beaton Derek6,Lou Wendy7,Sunderland Kelly6,Sujanthan Sujeevini6,Lawrence Jane8,Kwan Donna9,Tan Brian6,Casaubon Leanne10,Mandzia Jennifer11,Sahlas Demetrios12,Saposnik Gustavo13,Hassan Ayman14,Levine Brian6,McLaughlin Paula9,Orange J. B.15ORCID,Roberts Angela16,Troyer Angela6,Black Sandra E.23617,Dowlatshahi Dar18,Strother Stephen C.619,Swartz Richard H.17,Symons Sean20,Montero-Odasso Manuel21,ONDRI Investigators 22,Bartha Robert123ORCID

Affiliation:

1. Centre for Functional and Metabolic Mapping, Robarts Research Institute, University of Western Ontario, London, Canada

2. L.C. Campbell Cognitive Neurology Research Unit, Hurvitz Brain Sciences Research Program, Sunnybrook Research Institute, Toronto, Ontario, Canada

3. Department of Medicine (Neurology), Sunnybrook Health Sciences Centre and University of Toronto, Toronto, Canada

4. Clinical Psychology, University of Toronto, Toronto, Canada

5. Clinical Neurosciences, University of Toronto, Toronto, Canada

6. Rotman Research Institute, Baycrest Health Sciences, Toronto, Canada

7. Dalla Lana School of Public Health, University of Toronto, Toronto, Canada

8. Thunder Bay Regional Health Research Institute, Thunder Bay, Canada

9. Queen’s University, Kingston, Canada

10. Department of Medicine, University of Toronto, Toronto, Canada

11. Department of Medicine, Division of Neurology, University of Western Ontario, London, Canada

12. Department of Medicine, Faculty of Health Sciences, McMaster University, Hamilton, Canada

13. Li Ka Shing Knowledge Institute, Toronto, Canada

14. Thunder Bay Regional Research Institute, Thunder Bay, Canada

15. School of Communication Sciences and Disorders, Western University, London, Canada

16. Roxelyn and Richard Pepper Department of Communication Sciences and Disorder, Northwestern University, Evanston, USA

17. Sunnybrook Health Sciences Centre, University of Toronto, Stroke Research Program, Toronto, Canada

18. Ottawa Hospital Research Institute, Ottawa, Canada

19. Department of Medical Biophysics, University of Toronto, Toronto, Canada

20. Department of Medical Imaging, Sunnybrook Health Sciences Centre, Toronto, Canada

21. Department of Medicine, Division of Geriatric Medicine, Parkwood Hospital, St. Joseph’s Health Care London, London, Canada

22. Ontario Neurodegenerative Disease Initiative, Ontario Brain Institute, Toronto, Canada

23. Department of Medical Biophysics, University of Western Ontario, London, Canada

Abstract

Alterations in tissue microstructure in normal-appearing white matter (NAWM), specifically measured by diffusion tensor imaging (DTI) fractional anisotropy (FA), have been associated with cognitive outcomes following stroke. The purpose of this study was to comprehensively compare conventional DTI measures of tissue microstructure in NAWM to diverse vascular brain lesions in people with cerebrovascular disease (CVD) and to examine associations between FA in NAWM and cerebrovascular risk factors. DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured in cerebral tissues and cerebrovascular anomalies from 152 people with CVD participating in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). Ten cerebral tissue types were segmented including NAWM, and vascular lesions including stroke, periventricular and deep white matter hyperintensities, periventricular and deep lacunar infarcts, and perivascular spaces (PVS) using T1-weighted, proton density-weighted, T2-weighted, and fluid attenuated inversion recovery MRI scans. Mean DTI metrics were measured in each tissue region using a previously developed DTI processing pipeline and compared between tissues using multivariate analysis of covariance. Associations between FA in NAWM and several CVD risk factors were also examined. DTI metrics in vascular lesions differed significantly from healthy tissue. Specifically, all tissue types had significantly different MD values, while FA was also found to be different in most tissue types. FA in NAWM was inversely related to hypertension and modified Rankin scale (mRS). This study demonstrated the differences between conventional DTI metrics, FA, MD, AD, and RD, in cerebral vascular lesions and healthy tissue types. Therefore, incorporating DTI to characterize the integrity of the tissue microstructure could help to define the extent and severity of various brain vascular anomalies. The association between FA within NAWM and clinical evaluation of hypertension and disability provides further evidence that white matter microstructural integrity is impacted by cerebrovascular function.

Funder

Temerty Family Foundation

Publisher

Hindawi Limited

Subject

Radiology, Nuclear Medicine and imaging

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