Predictive study of brain gray matter volume combined with regional homogeneity on the alleviation of post-traumatic stress disorder in bereaved parents who lost their only child
10.3760/cma.j.cn371468-20250719-00337
- VernacularTitle:脑灰质体积与成像局部一致性对失独父母创伤后应激障碍症状缓解的预测研究
- Author:
Chensi LI
1
;
Yifeng LUO
;
Zhihong CAO
;
Yuefeng LI
;
Jiyuan GE
;
Qingyue LAN
;
Rongfeng QI
;
Luo'an WU
;
Li ZHANG
;
Guangming LU
Author Information
1. 江苏大学附属宜兴医院放射科，无锡 214200
- Publication Type:Journal Article
- Keywords:
Post-traumatic stress disorder;
Lost only child;
Remission;
Multimodal magnetic resonance imaging;
Brain gray matter volume
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2025;34(10):879-884
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the predictive value of multimodal magnetic resonance imaging (MRI) techniques in assessing symptom remission of post-traumatic stress disorder (PTSD) of bereaved parents who lost their only child.Methods:In this prospective study, 34 parents with PTSD resulting from the loss of the only child were followed-up for 2 years. Based on the PTSD diagnostic status at the end of the follow-up, participants were divided into the remission group and the persistent group.R 3.6.1 and SPSS 20.0 software were used for statistical analysis.Baseline clinical data and neuroimaging findings were compared between the two groups. Logistic regression and LASSO regression analyses were used to identify independent predictors of PTSD symptom remission. The predictive performance of these factors was evaluated by receiver operating characteristic (ROC) curve analysis.Results:Initial screening with univariate Logistic regression and LASSO regression revealed that regional homogeneity (ReHo) in the left middle temporal gyrus, the combined predictive value based on ReHo, and the integrated predictive value combining gray matter volume (GMV) and ReHo (GMV-ReHo predictor) were significant factors influencing symptom remission (all P<0.05). Multivariate Logistic regression further demonstrated that the GMV-ReHo predictor retained independent predictive significance ( P<0.05), with ROC curve analysis showing an area under the curve (AUC) of 0.979 (95% CI=0.935-0.996, P<0.001) for its ability to predict PTSD remission. Notably, a combined model incorporating both the scores of the clinician administered PTSD scale (CAPS) and the GMV-ReHo predictor achieved an enhanced predictive performance, yielding an AUC of 0.984 (95% CI=0.952-0.998, P<0.001). Conclusion:The GMV-ReHo predictor effectively identifies symptom remission in PTSD resulting from the loss of the only child.
