Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression

9Citations
Citations of this article
40Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Subsyndromal depression (SSD) is considered as a predictor for future depressive disorders, however whether white matter abnormalities are involved in the high-susceptibility of women to depressive disorders during perimenopause is unknown. The purpose of this study was to investigate fractional anisotropy (FA) in the white matter of the whole brain in perimenopausal women with SSD using diffusion tensor imaging (DTI). Methods: In a cross-sectional study, 24 perimenopausal women with SSD and 24 other age-, education-, and body mass index-matched healthy women underwent DTI. A voxel-based analysis was used to elucidate regional FA changes at a voxel threshold of p<0.001 with an extent threshold of k>127voxels (p<0.05, AlphaSim correction). Subsequently, correlation analyses were performed between mean FA values in significant brain regions and plasma estradiol level. Results: Compared to healthy controls, women with SSD exhibited significantly lower FA values in the left insula, while higher FA values were observed in the left ventral lateral thalamus and left and right brainstem in the midbrain. In subjects with SSD, the mean FA value in the left insula was positively correlated to plasma estradiol levels (r=0.453, p=0.026) (uncorrected). Conclusions: Our findings indicate altered microstructures in white matter of the insula and subcortical regions may be associated with the high susceptibility of perimenopausal women to depressive disorders. Estrogen may modulate the white matter microstructure of the insula.

Cite

CITATION STYLE

APA

Wang, X., Tao, J., Li, L., Zhong, Z., Liu, S., Jiang, T., & Zhang, J. (2014). Alterations in white matter fractional anisotropy in subsyndromal perimenopausal depression. BMC Psychiatry, 14(1). https://doi.org/10.1186/s12888-014-0367-8

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free