4.7 Article

Serum BDNF levels correlate with regional cortical thickness in minor depression: a pilot study

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SCIENTIFIC REPORTS
卷 10, 期 1, 页码 -

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NATURE RESEARCH
DOI: 10.1038/s41598-020-71317-y

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资金

  1. LIFE-Leipzig Research Center for Civilization Diseases, Universitat Leipzig
  2. European Regional Development Fund (ERDF)
  3. Free State of Saxony [713-241202, 14505/2470, 14575/2470]
  4. International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom) by the Max Planck Society
  5. European Union
  6. German Research Foundation (DFG) [SCHR 774/5-1]
  7. German Consortium for Frontotemporal Lobar Degeneration - German Federal Ministry of Education and Research
  8. Parkinson's Disease Foundation [PDF-IRG-1307]
  9. Michael J. Fox Foundation [MJFF-11362]

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Serum brain-derived neurotrophic factor (BDNF) reflects state changes in mood disorders. But its relation to brain changes in depression has rarely been investigated in humans. We assessed the association between serum BDNF, cortical thickness, or gray matter volume in 20 subjects with a minor depressive episode and 40 matched healthy subjects. Serum BDNF positively correlated with cortical thickness and volume in multiple brain regions in the minor depression group: the bilateral medial orbitofrontal cortex and rostral anterior cingulate cortex, left insula, and cingulum, right superior frontal gyrus, and other regions-regions typically affected by major depression. Interestingly, these correlations were driven by subjects with first episode depression. There was no significant association between these imaging parameters and serum BDNF in the healthy control group. Interaction analyses supported this finding. Our findings point to a specific association between serum BDNF and magnetic resonance imaging parameters in first-episode minor depression in a region- and condition-dependent manner. A positive correlation between serum BDNF and structural gray matter estimates was most consistently observed for cortical thickness. We discuss why cortical thickness should be preferred to volumetric estimates for such analyses in future studies. Results of our pilot study have to be proven in future larger-scale studies yielding higher statistical power.

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