Scientific Reports (Apr 2024)

Identifying tripartite relationship among cortical thickness, neuroticism, and mood and anxiety disorders

  • Renata Rozovsky,
  • Michele Bertocci,
  • Satish Iyengar,
  • Richelle S. Stiffler,
  • Genna Bebko,
  • Alexander S. Skeba,
  • Tyler Brady,
  • Haris Aslam,
  • Mary L. Phillips

DOI
https://doi.org/10.1038/s41598-024-59108-1
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 12

Abstract

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Abstract The number of young adults seeking help for emotional distress, subsyndromal-syndromal mood/anxiety symptoms, including those associated with neuroticism, is rising and can be an early manifestation of mood/anxiety disorders. Identification of gray matter (GM) thickness alterations and their relationship with neuroticism and mood/anxiety symptoms can aid in earlier diagnosis and prevention of risk for future mood and anxiety disorders. In a transdiagnostic sample of young adults (n = 252;177 females; age 21.7 ± 2), Hypothesis (H) 1:regularized regression followed by multiple regression examined relationships among GM cortical thickness and clinician-rated depression, anxiety, and mania/hypomania; H2:the neuroticism factor and its subfactors as measured by NEO Personality Inventory (NEO-PI-R) were tested as mediators. Analyses revealed positive relationships between left parsopercularis thickness and depression (B = 4.87, p = 0.002), anxiety (B = 4.68, p = 0.002), mania/hypomania (B = 6.08, p ≤ 0.001); negative relationships between left inferior temporal gyrus (ITG) thickness and depression (B = − 5.64, p ≤ 0.001), anxiety (B = − 6.77, p ≤ 0.001), mania/hypomania (B = − 6.47, p ≤ 0.001); and positive relationships between left isthmus cingulate thickness (B = 2.84, p = 0.011), and anxiety. NEO anger/hostility mediated the relationship between left ITG thickness and mania/hypomania; NEO vulnerability mediated the relationship between left ITG thickness and depression. Examining the interrelationships among cortical thickness, neuroticism and mood and anxiety symptoms enriches the potential for identifying markers conferring risk for mood and anxiety disorders and can provide targets for personalized intervention strategies for these disorders.

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