Literature DB >> 26243039

Regional gray matter volume mediates the relationship between family socioeconomic status and depression-related trait in a young healthy sample.

Junyi Yang1,2, Huijuan Liu1,2, Dongtao Wei1,2, Wei Liu1,2, Jie Meng1,2, Kangcheng Wang1,2, Lei Hao1,2, Jiang Qiu3,4.   

Abstract

Socioeconomic status (SES) is a complex phenomenon that is predicted by a broad spectrum of variables and is often conceptualized as a combination of financial, occupational, and educational influences. SES is associated with symptoms of depression and depression-related personality traits. Many studies have focused on the relationship between SES and depression symptoms in clinical subjects; however, there are few studies of the neural basis of the relationship between SES and depression-related personality traits in nonclinical subjects. Thus, in the present study, we studied the neural basis of the relationship between SES and depression-related traits. The first step was to use voxel-based morphometry (VBM) to investigate the neuroanatomical basis underlying family SES in a large sample of healthy subjects. We found a significant negative correlation between family SES and the medial prefrontal cortex (mPFC) that extending to the anterior cingulate cortex (ACC). Then, the mediation analysis revealed that the correlation between family SES, especially family income, and depression-related traits were mediated by the region of the mPFC that extending to the ACC volume. These findings suggest that the family income may play more important role in driving depression-related traits than that of parental education. They also suggest that the mPFC extension to the ACC may play an important role in the correlation between familial SES, especially with respect to family income and the depression-related traits.

Entities:  

Keywords:  Anterior cingulate cortex; Depression-related traits; Medial prefrontal cortex; Socioeconomic status; Voxel-based morphometry

Mesh:

Year:  2016        PMID: 26243039     DOI: 10.3758/s13415-015-0371-6

Source DB:  PubMed          Journal:  Cogn Affect Behav Neurosci        ISSN: 1530-7026            Impact factor:   3.282


  77 in total

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