Post-mortem 7 Tesla MRI detection of white matter hyperintensities: A multidisciplinary voxel-wise comparison of imaging and histological correlates
•Ultra high-field post mortem MRI is a valid tool for the study of white matter hyperintensities.•Demyelination and parenchymal rarefaction are associated with FLAIR and T2 changes on 7 Tesla MRI.•Age, length of fixation and pathological diagnosis are all significant predictors of white matter FLAIR...
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Veröffentlicht in: | NeuroImage clinical 2020-01, Vol.27, p.102340-102340, Article 102340 |
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Sprache: | eng |
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Zusammenfassung: | •Ultra high-field post mortem MRI is a valid tool for the study of white matter hyperintensities.•Demyelination and parenchymal rarefaction are associated with FLAIR and T2 changes on 7 Tesla MRI.•Age, length of fixation and pathological diagnosis are all significant predictors of white matter FLAIR voxel intensity.
White matter hyperintensities (WMH) occur in normal aging and across diagnostic categories of neurodegeneration. Ultra-high field imaging (UHF) MRI machines offer the potential to improve our understanding of WMH. Post-mortem imaging using UHF magnetic resonance imaging (MRI) is a useful way of assessing WMH, however, the responsiveness of UHF-MRI to pathological changes within the white matter has not been characterized. In this study we report post-mortem MRI sequences of white matter hyperintensities in normal aging, Alzheimer’s disease, and cerebrovascular disease. Seven Tesla post-mortem MRI reliably detected periventricular WMH using both FLAIR and T2 sequences and reflects underlying pathology of myelin and axon density despite prolonged fixation time. Co-registration of histological images to MRI allowed for direct voxel- wise comparison of imaging findings and pathological changes. Myelin content and cerebrovascular pathology were the most significant predictors of MRI white matter intensity as revealed by linear mixed models. Future work investigating the utility of UHF- MRI in studying cell-specific changes within WMH is required to better understand radio-pathologic correlations. |
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ISSN: | 2213-1582 2213-1582 |
DOI: | 10.1016/j.nicl.2020.102340 |