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ABSTRACT: Background
Treatment-resistant depression (TRD) poses a significant clinical challenge, demanding a deeper understanding of its neurobiological underpinnings to improve therapeutics. We examined white matter microstructure and structural connectivity in TRD, focusing on the 'subjective valuation network' (SVN), which captures motivated behavior, reward processing, and emotional regulation circuits commonly altered in depression. This allowed us to identify potential neuroimaging biomarkers associated with treatment resistance.Methods
Diffusion tensor imaging (DTI) data were acquired from a sample of age-and-gender balanced individuals with TRD (n=44; female = 24, male=11, non-binary/unchecked =7) and non-depressed controls (n=42; female=27, male =12, non-binary/unchecked=5)
SUBMITTER: Maas B
PROVIDER: S-EPMC12425016 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature