Literature DB >> 33382162

Alteration of single-subject gray matter networks in major depressed patients with suicidality.

Huiru Li1, Jing Yang1, Li Yin2, Huawei Zhang1, Feifei Zhang1, Ziqi Chen1, Zhiyun Jia1,3, Qiyong Gong1,4.   

Abstract

While regional brain alterations and functional connectivity in depressed suicidal patients have previously been reported, knowledge about gray matter (GM) structural networks is limited. The aim of this study was to explore the GM of depressed suicidal brains from the single-subject structural network level. This was a cross-sectional study, in which 50 healthy controls (HC, 31 ± 9 years), 50 major depressed patients without suicidality (NSD, 29 ± 10 years), and 50 major depressed patients with suicidality (SU, 29 ± 12 years) were enrolled. T1 -weighted images (T1 WI) were acquired with three-dimensional-magnetization prepared rapid gradient echo sequence in 3.0 T magnetic resonance. The analysis was performed using the automated Computational Anatomy Toolbox (CAT12) within Statistical Parametric Mapping while running MATLAB. The T1 images were segmented into GM, white matter, and cerebrospinal fluid. Then single-subject structural networks were constructed based on the morphological similarity of GM regions. Global network topological properties, including clustering coefficient (Cp ), characterpath length (Lp ), normalized clustering coefficient (γ), normalized characteristic path length (λ), small-worldness (σ), global efficiency (Eglob ), local efficiency (Eloc ), and nodal network topological properties, including nodal efficiency, degree, and betweenness centrality, were measured using graph theory analysis. Statistical tests performed were analysis of variance, Pearson correlation analysis, and multiple linear regression analysis. Decreased Eglob and increased shortest Lp were observed in SU group compared to HC and NSD groups (p < 0.05). The NSD and SU groups had an increased λ and decreased Eloc compared to the HC group (p < 0.05). Altered nodal efficiency was found in the fronto-striatum-limbic-thalamic circuit in the SU group compared with the HC and NSD groups (all p < 0.05). The GM network in the SU group showed decreased segregation and weaker integration, that is weaker small-worldness, compared to the NSD and HC groups. Abnormal nodal efficiency was found in the fronto-striatum-limbic-thalamic circuit in suicidal brains. This study provides new evidence for therapeutic targets for patients with depression and suicidality. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 3.
© 2020 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  gray matter; major depressive disorder; pyschoradiology; structural networks; suicidality

Year:  2020        PMID: 33382162     DOI: 10.1002/jmri.27499

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  2 in total

1.  Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images.

Authors:  Defeng Liu; Xiaohang Zhang; Tao Zheng; Qinglei Shi; Yujie Cui; Yongji Wang; Lanxiang Liu
Journal:  Arch Gynecol Obstet       Date:  2021-01-04       Impact factor: 2.344

2.  Altered gray matter structural covariance networks in drug-naïve and treated early HIV-infected individuals.

Authors:  Ruili Li; Yuxun Gao; Wei Wang; Zengxin Jiao; Bo Rao; Guangxue Liu; Hongjun Li
Journal:  Front Neurol       Date:  2022-09-20       Impact factor: 4.086

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.