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O2‐03‐06: Neuropathologic Correlates of White Matter Hyperintensities in a Community Cohort of Older Adults
Author(s) -
Alqam Nabil,
Evia Arnold,
Cardoso Luis F.C.,
Lopes Lucas F.,
Pereira Diego Vieira,
Schneider Julie A.,
Leurgans Sue E.,
Bennett David A.,
Arfanakis Konstantinos
Publication year - 2016
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2016.06.410
Subject(s) - hyperintensity , neuropathology , cerebral amyloid angiopathy , cohort , medicine , dementia , psychology , white matter , neuroimaging , hippocampal sclerosis , magnetic resonance imaging , cardiology , pathology , neuroscience , radiology , disease , temporal lobe , epilepsy
vulnerable to becoming injured white matter. Previous longitudinal work has shown that baseline cerebral blood flow (CBF), DTI-FA, and FLAIR intensity can predict WMH expansion over time. However, none of the previous studies identified which signal can best predict the growth of WMH and none performed voxel-wise analysis. The aim of this study was to identify the sensitivity of CBF, DTI and FLAIR signals in predictingWMH development.Methods: Fifty-two cognitively intact (CDR 1⁄4 0) elderly volunteers (mean age 83.5 years old) underwent two scan visits with 3TMRI FLAIR, MPRAGE, PASL and DTI. The mean interscan interval was 16 months. For each individual dataset, baseline and follow-up WMH were aligned and subtracted from each other, creating a binary map containing 0s and 1s for persistent NAWM and new WMH voxels, respectively. We focused on the 5 mm area surrounding WMH where there was significant growth of WMHs. Baseline CBF map. DTI-FA, DTI-MD and FLAIR images were then registered to the binary map. Correlation analysis was performed between the binary map and CBF map, DTI and FLAIR images, individually. The predictive order was determined by comparing the group mean R using paired t-test. Results:Increased FLAIR intensity had the strongest correlationwith newWMHvoxels, followed by increased DTI-MD, decreased DTI-FA and decreased CBF for both periventricular (PV) and deep WMH penumbras (p<0.001). Mean R, ordered from greatest to smallest associations, are 0.072, 0.014, 0.011, and 0.005 for PV WMHs, and are 0.025, 0.014, 0.004, and 0.001 for deepWMHs.Conclusions:Within the immediate WMHenvironment, baseline indicators ofmicrostructuralWMdamage are more predictive of future WMH expansion than CBF. For future studies, investigating the contribution of CBF to future microstructural WM degeneration is needed.