1.The MEG and clinical features of bipolar depression
Fengnan JIA ; Hao TANG ; Jiabo SHI ; Chu LIU ; Qing LU ; Zhijian YAO
Chinese Journal of Nervous and Mental Diseases 2015;(8):477-481
Objective To explore the resting state cortical activity and frontal asymmetry in alpha oscillations in bipolar depressive patients and its relationship with clinical symptoms. Methods Twelve bipolar depressive patients (pa?tient group) and twenty-four well-matched healthy volunteer (control group) were underwent whole head MEG recording. Individual spectral power and frontal asymmetry index were calculated by using permutation test to discover the differenc?es in δ, θ, α1, α2, α3, β bands between the two groups among the regions of interested (bilateral central, frontal lobe, temporal lobe, parietal lobe, occipital lobe). The correlation analysis were used to analyze the association between power of brain regions with significant difference and the Hamilton depression rating scale17 scores as well as factor items in patients. Results Compared with the control group, the activity of various regions was increased in the patient group as follows:theδband in the left central and left occipital lobes, theθband in the left occipital lobe, theβband in left cen?tral, right frontal, left parietal lobe and right parietal lobe. The power ofα2 andα3 frequency bands was decreased in the bilateral temporal lobes (P<0.05, uncorrected). A negative correlation was observed between the right temporalα3 power and recognition item scores for bipolar depression (P<0.05). Conclusion The present study suggests that bipolar depres?sive patients have impaired neural activity at many bands and the symptom of cognitive impairment may be associated with dysfunction ofα3 band.
2.Effects of ruminative thinking on 1-year outcomes in patients with first-episode depression: the mediating role of family functioning
Lili LIU ; Fanzhen KONG ; Caifang JI ; Zhiying ZHANG ; Ye ZHUANG ; Jing RUAN ; Fengnan JIA ; Yansong LIU
Chinese Journal of Behavioral Medicine and Brain Science 2022;31(10):887-892
Objective:To investigate whether rumination and family functioning can predict the level of depression after 1 year of follow-up in patients with first-episode depression, and whether family functioning plays a mediating role between rumination and depression level.Methods:Sixty-five patients with first-episode depression who met the enrollment requirements were included, and all subjects were assessed the 17-item Hamilton depression scale(HAMD-17), rumination response scale(RRS) and family assessment device(FAD). All subjects were followed up for 1 year, and the predictive effects of rumination and family functioning at baseline on the level of depression after 1 year of follow-up were investigated by hierarchical linear regression analysis and mediation analysis.Results:At the baseline stage, rumination, role, affective involvement (AI) and general functioning (GF) were significantly positively associated with depression level after 1 year of follow-up in patients with first-episode depression ( r=0.49, P<0.01; r=0.30, P=0.02; r=0.43, P<0.01; r=0.50, P<0.01; respectively). Rumination, AI and GF at the baseline stage predicted depression level after 1 year of follow-up ( β=0.315, t=2.954, P=0.005; β=0.261, t=2.550, P=0.013; β=0.323, t=2.952, P=0.005). Mediation analysis showed that AI and GF partially mediated the relationship between rumination at baseline and depression level at 1 year follow-up (point estimate value for AI=0.040, 95% CI=0.012-0.090); point estimate value for GF=0.066, 95% CI=0.017-0.143). Conclusions:Rumination and family functioning at baseline in first-episode depressed patients can predict the depression level at 1 year follow-up.Family functioning partly mediates the relationship between the baseline rumination and the depression level at 1 year follow-up.
3.Effect of iodine intake on serum thyroglobulin——A five-year prospective epidemiological study
Xiaoguang SHI ; Wei CHONG ; Zhongyan SHAN ; Xiaochun TENG ; Di TENG ; Haixia GUAN ; Yushu LI ; Ying JIN ; Xiaohui YU ; Chenling FAN ; Ban YANG ; Hong DAI ; Yang YU ; Jia LI ; Yonyon CHEN ; Dong ZHAO ; Fengnan HU ; Jinyuan MAO ; Xiaolan GU ; Rong YANG ; Yajie TONG ; Weibo WANG ; Tianshu GAO ; Chenyang LI ; Weiping TENG
Chinese Journal of Endocrinology and Metabolism 2009;25(3):260-263
Objective To clarify the effect of iodine intake on serum thyroglobulin (Tg). Methods A 5-year prospective study was conducted in the 3 different iodine intake areas in China [Panshan (miht deficiency) ,Zhangwu (more than adequate) and Huanghua (excess)]. A total of 3 099 people with normal serum levels of Tg in 1999 were followed and 2 448 of these participants were feasible to be observed in 2004 and included in the present study. The serum levels of Tg, thyraglobulin antibody(TgAb), thyroid peroxidase antibody(TPOAb) and TSH, thyroid volume, family and personal histories of thyroid diseases were measured and inquried. The general linear model (GLM) was used to explore the determinants of Tg. Results Among the study population at baseline, serum Tg were significantly different in three areas [7.5 (4.4-13. 1) μg/L at Panshan, 6.8 (3.6-11.2)μg/L at Huanghua, 5.9 (3.2-10.7) μg/L at Zhangwu, P<0.01]. They were associated with age, sex and the rate of positive TgAb, abnormal thyroid volume, abnormal TSH and positive personal history of thyroid diseases, in order to control the effects of confounding factors, the data from 1856 subjects with thyroid-related indexes all in normal range and without personal history of thyroid diseases were analyzed to clarify the effect of iodine intake on Tg. The serum Tg among three areas were significantly different in both 1999 and 2004, they were all increased in 5 years with significant augment (△ Tg) among the three areas[3.1 (-0.2-8.0) μg/L at Panshan, 3.5 (0.5-9.0)μg/L at Huanghua vs 2. 5(0.3-6.1) μg/L at Zhangwu,P<0.01]. The GLM analysis revealed that age, Tg and TSH levels at baseline were the determinants of △Tg in addition to iodine intake. Conclusion Iodine intake is a dominant determinant of serum Tg. Age and TSH should also be considered while indicating iodine intake by serum Tg.