Preprint FZJ-2022-04681

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Vascular risk factors, white matter microstructure, and depressive symptoms: A longitudinal analysis in the UK Biobank

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2022

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Abstract: Cumulative burden from vascular risk factors (VRFs) has been associated with an increased risk of depressive symptoms in mid- and later life, but the mechanisms underlying this link are still unclear. One hypothesis is that VRFs disconnect fronto-subcortical white matter tracts that underlie mood and emotion regulation, which in turn puts older adults at higher risk of developing depressive symptoms. However, evidence for the hypothesis that disconnection of white matter tracts underlies the association between VRF burden and depressive symptoms from longitudinal studies is scarce. This preregistered study analysed longitudinal data from 6,964 middle-aged and older adults from the UK Biobank who participated in consecutive assessments of VRFs, brain imaging, and depressive symptoms. Using mediation modelling, we directly tested to what extend white matter microstructure mediates the longitudinal association between VRF burden and depressive symptoms. Our results showed small associations between VRF burden and depressive symptoms at follow-up. However, there was no evidence that fractional anisotropy (FA) of white matter tracts mediated this association. Additional analyses also yielded no mediating effects using alternative operationalisations of VRF burden, mean diffusivity (MD) of single tracts, or overall average of tract-based white matter microstructure (global FA, global MD, white matter hyperintensity volume). Taken together, these results lend no support to the hypothesis that disconnection of white matter tracts underlies the association between VRF burden and depressive symptoms, while highlighting the relevance of using longitudinal data to directly test pathways linking vascular and mental health. Future studies should examine alternative mechanisms and potentially more fine-grained associations between VRFs and depressive symptoms using similar longitudinal study designs.


Contributing Institute(s):
  1. Gehirn & Verhalten (INM-7)
Research Program(s):
  1. 5253 - Neuroimaging (POF4-525) (POF4-525)

Appears in the scientific report 2022
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 Datensatz erzeugt am 2022-11-15, letzte Änderung am 2022-11-16


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