| Title: | White matter tract integrity is reduced in depression and in individuals with genetic liability for depression |
| Journal: | Biological Psychiatry |
| Published: | 15 Dec 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38103877/ |
| DOI: | https://doi.org/10.1016/j.biopsych.2023.11.028 |
Publication 9162
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Abstract
BACKGROUND: While major depression has been linked to changes in white matter architecture, it remains unclear whether risk factors for depression are directly associated with these alterations. We reexamined white matter fiber tracts in individuals with depressive symptoms and investigated the connection between genetic and environmental risk for depression and structural changes in the brain.</p>
METHODS: We included 19,183 participants from the UK Biobank imaging cohort, with depression status and adverse life experience based on questionnaire data and genetic liability for depression quantified by polygenic scores. The integrity of 27 white matter tracts was assessed using mean fractional anisotropy derived from diffusion magnetic resonance imaging.</p>
RESULTS: White matter integrity was reduced, particularly in thalamic and intracortical fiber tracts, in individuals with depressive symptoms, independent of current symptom status. In a group of healthy individuals without depression, increasing genetic risk and increasing environmental risk were associated with reduced integrity in relevant fiber tracts, particularly in thalamic radiations. This association was stronger than expected based on statistical dependencies between samples, as confirmed by subsequent in silico simulations and permutation tests.</p>
CONCLUSIONS: White matter alterations in thalamic and association tracts are associated with depressive symptoms and genetic risk for depression in unaffected individuals, suggesting an intermediate phenotype at the brain level.</p>
3 Authors
- David Nothdurfter
- Philippe Jawinski
- Sebastian Markett
1 Application
| Application ID | Title |
|---|---|
| 42032 | Understanding polygenic liability through connectome-based genetic imaging. |
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