A multimodal study regarding neural correlates of the subjective well-being in healthy individuals

Sci Rep. 2022 Aug 11;12(1):13688. doi: 10.1038/s41598-022-18013-1.

Abstract

Although happiness or subjective well-being (SWB) has drawn much attention from researchers, the precise neural structural correlates of SWB are generally unknown. In the present study, we aimed to investigate the associations between gray matter (GM) volumes, white matter (WM) microstructures, and SWB in healthy individuals, mainly young adults using multimodal T1 and diffusion tensor imaging studies. We enrolled 70 healthy individuals using magnetic resonance imaging. We measured their SWB using the Concise Measure of Subjective Well-Being. Voxel-wise statistical analysis of GM volumes was performed using voxel-based morphometry, while fractional anisotropy (FA) values were analyzed using tract-based spatial statistics. In healthy individuals, higher levels of SWB were significantly correlated with increased GM volumes of the anterior insula and decreased FA values in clusters of the body of the corpus callosum, precuneus WM, and fornix cres/stria terminalis. A correlational analysis revealed that GM volumes and FA values in these significant regions were significantly correlated with severity of psychological symptoms such as depression, anxiety, and quality of life. Our findings indicate that GM volumes and WM microstructures in these regions may contribute to SWB, and could be the neural basis for psychological symptom severity as well as quality of life in healthy individuals.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anisotropy
  • Brain / diagnostic imaging
  • Brain / pathology
  • Diffusion Tensor Imaging* / methods
  • Gray Matter / diagnostic imaging
  • Gray Matter / pathology
  • Humans
  • Magnetic Resonance Imaging
  • Quality of Life
  • White Matter* / diagnostic imaging
  • White Matter* / pathology
  • Young Adult