Home > Publications database > Microarchitectural differences between White Matter Lesions and Normal-Appearing White Matter across Arterial Territories: Insights from Neurite Orientation Dispersion and Density Imaging > print

001     1048932
005     20251211202155.0
037 _ _ |a FZJ-2025-05029
100 1 _ |a Caspari, Benedict
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111 2 _ |a Aging and Cognition Conference
|c Pavia
|d 2025-05-07 - 2025-05-10
|w Italy
245 _ _ |a Microarchitectural differences between White Matter Lesions and Normal-Appearing White Matter across Arterial Territories: Insights from Neurite Orientation Dispersion and Density Imaging
260 _ _ |c 2025
336 7 _ |a Abstract
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336 7 _ |a Conference Paper
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520 _ _ |a White Matter Lesions (WML) are linked to aging and vascular risk factors, while their microstructural mechanisms remain largely unclear. Using Neurite Orientation Dispersion and Density Imaging (NODDI), we investigated microarchitectural properties in WML in 915 participants (47% female, ages 18-85) from the population-based 1000BRAINS study.Microstructural properties, i.e. FA, extracellular volume fraction (ECVF), neurite density (ICVF) and dispersion (ODI) were derived from T1- and diffusion-weighted MRI for WML and normal-appearing white matter (NAWM). Within-person differences between WML and NAWM were calculated for each property and related to age, cardiovascular risk (e.g., blood pressure), and vascular supply. Older age is associated with increased ECVF and ODI differences, but smaller ICVF differences. Mostly similar patterns were found for higher cardiovascular risk. In contrast to expectations, FA differences decreased with age. Compared to NAWM, WML show an increased ECVF in anterior-supplied, while ICVF in medial-supplied and ODI in posterior-supplied cerebral artery regions decrease. Together, our data indicate a non-uniform distribution of microstructural changes in WML across vascular territories, with additional variation linked to cardiovascular risk and age. Overall, the data suggest a greater reduction in neurite density in WML compared to NAWM in relation to older age.
536 _ _ |a 5251 - Multilevel Brain Organization and Variability (POF4-525)
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536 _ _ |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)
|0 G:(EU-Grant)945539
|c 945539
|f H2020-SGA-FETFLAG-HBP-2019
|x 1
700 1 _ |a Bittner, Nora
|0 P:(DE-Juel1)166110
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|e Corresponding author
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700 1 _ |a Miller, Tatiana
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700 1 _ |a Dellani, Paulo R.
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700 1 _ |a Caspers, Svenja
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914 1 _ |y 2025
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