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Spatial signature of white matter hyperintensities in stroke patients

View ORCID ProfileMarkus D. Schirmer, View ORCID ProfileAnne-Katrin Giese, Panagiotis Fotiadis, Mark R. Etherton, Lisa Cloonan, Anand Viswanathan, Steven M. Greenberg, Ona Wu, Natalia S. Rost
doi: https://doi.org/10.1101/457374
Markus D. Schirmer
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
2Computer Science and Artificial Intelligence Lab, MIT, USA
3Department of Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Germany
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  • For correspondence: mschirmer1@mgh.harvard.edu
Anne-Katrin Giese
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
4Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge MA, USA
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Panagiotis Fotiadis
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
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Mark R. Etherton
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
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Lisa Cloonan
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
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Anand Viswanathan
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
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Steven M. Greenberg
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
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Ona Wu
5Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA
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Natalia S. Rost
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston MA, USA
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Abstract

Purpose White matter hyperintensity (WMH) is a common phenotype across a variety of neurological diseases, particularly prevalent in stroke patients; however, vascular territory dependent variation in WMH burden has not yet been identified. Here, we sought to investigate the spatial specificity of WMH burden in patients with acute ischemic stroke (AIS).

Materials and Methods We created a novel age-appropriate high-resolution brain template and anatomically delineated the cerebral vascular territories. We used WMH masks derived from the clinical T2 FLAIR MRI scans and spatial normalization of the template to discriminate between WMH volume within each subject’s anterior cerebral artery (ACA), middle cerebral artery (MCA), and posterior cerebral artery (PCA) territories. Linear regression modeling including age, sex, common vascular risk factors, and TOAST stroke subtypes was used to assess for spatial specificity of WMH volume (WMHv) in a cohort of 882 AIS patients.

Results Mean age of this cohort was 65.23±14.79 years, 61.7% were male, 63.6% were hypertensive, 35.8% never smoked. Mean WMHv was 11.58c +/-13.49 cc. There were significant differences in territory-specific, relative to global, WMH burden. In contrast to PCA territory, age (0.018±0.002, p<0.001) and small-vessel stroke subtype (0.212±0.098, p<0.001) were associated with relative increase of WMH burden within the anterior (ACA and MCA) territories, whereas male sex (−0.275±0.067, p<0.001) was associated with a relative decrease in WMHv.

Conclusions Our data establish the spatial specificity of WMH distribution in relation to vascular territory and risk factor exposure in AIS patients and offer new insights into the underlying pathology.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted February 18, 2019.
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Spatial signature of white matter hyperintensities in stroke patients
Markus D. Schirmer, Anne-Katrin Giese, Panagiotis Fotiadis, Mark R. Etherton, Lisa Cloonan, Anand Viswanathan, Steven M. Greenberg, Ona Wu, Natalia S. Rost
bioRxiv 457374; doi: https://doi.org/10.1101/457374
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Spatial signature of white matter hyperintensities in stroke patients
Markus D. Schirmer, Anne-Katrin Giese, Panagiotis Fotiadis, Mark R. Etherton, Lisa Cloonan, Anand Viswanathan, Steven M. Greenberg, Ona Wu, Natalia S. Rost
bioRxiv 457374; doi: https://doi.org/10.1101/457374

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