ABSTRACT
How to quickly predict an individual's behavioral choices is an important issue in the field of human behavior research. Using noninvasive electroencephalography, we aimed to identify neural markers in the prior outcome-evaluation stage and the current option-assessment stage of the chicken game that predict an individual's behavioral choices in the subsequent decision-output stage. Hierarchical linear modeling-based brain-behavior association analyses revealed that midfrontal theta oscillation in the prior outcome-evaluation stage positively predicted subsequent aggressive choices; also, beta oscillation in the current option-assessment stage positively predicted subsequent cooperative choices. These findings provide electrophysiological evidence for the three-stage theory of decision-making and strengthen the feasibility of predicting an individual's behavioral choices using neural oscillations.
Subject(s)
Aggression/physiology , Brain , Electroencephalography , Interpersonal RelationsABSTRACT
Objective:To investigate clinical significance of the detection of bone mineral density(BMD)and serum levels of vitamin D in elderly patients with Parkinson's disease(PD).Methods:Sixty elderly patients with PD(the PD group)admitted in our hospital from June 2016 to December 2018 were enrolled in this retrospective study.And 60 healthy persons confirmed by annual health check-up matched for age and sex during the same period were included as the control group.PD patients were divided into the osteoporosis group(n=23)and the non-osteoporosis group(n=37). The clinical data, bone mineral density and serum vitamin D level were compared between the two groups.Multivariate Logistic regression method was used to analyze related factors for osteoporosis in PD patients.Results:The incidences of osteoporosis and vitamin D deficiency were higher in PD group than in control group[23 cases(38.3%) vs.13 cases(21.7%)、35 cases(58.3%) vs.21 cases(35.0%), all P<0.05]. Bone mineral density and serum 25-(OH)D level were lower in PD group than in control group[(0.77±0.08)g/m 2vs.(0.83±0.09)g/m 2, (25.65±8.65)nmol/L vs.(39.80±10.74)nmol/L, t=4.381 and 8.439, P<0.05]. The age, course of disease and H-Y grade were higher and serum level of 25-(OH)D was lower in the osteoporosis group than in the control group( P<0.05). Spearman correlation analysis showed that BMD and 25-(OH)D were negatively correlated with age, course of disease and H-Y stage, respectively, and BMD was positively correlated with 25-(OH)D( r=0.396, P<0.05). Multivariate Logistic regression analysis showed that vitamin D deficiency was an independent risk factor for osteoporosis in elderly PD patients( OR=2.332, 95% CI: 1.772-8.224, P<0.01). Conclusions:The incidence of osteoporosis is high in elderly PD patients, and vitamin D deficiency is often present.Vitamin D deficiency may be an independent risk factor for osteoporosis.
ABSTRACT
Objective To explore the correlation between childhood obesity and adult metabolic diseases. Methods A total of 3 542 people who underwent physical examination in the General Hospital of Fuming from January 2018 to January 2019 were selected as research subjects. They were divided into childhood obesity group and control group according to the childhood body mass index (BMI). Single factor and multivariate logistic regression analysis were performed on relevant factors that may affect adult metabolic diseases by comparing clinical data with laboratory parameters. Results A total of 113 adult patients with metabolic diseases were found in the control group, with an incidence rate of 4.56%. In the childhood obesity group, 322 adult patients with metabolic diseases were found, with an incidence rate of 30.32%. The incidence of adult metabolic diseases in the childhood obesity group was significantly higher than that of the control group, while the HDL-C level in the childhood obesity group was significantly lower than that in the control group. The differences were statistically significant (P<0.05). Univariate analysis showed that the gender and childhood obesity were significantly correlated to adult metabolic diseases (P<0.05). Multivariate logistic regression analysis showed that the childhood obesity was an independent risk factor for adult metabolic diseases (P<0.05). Conclusion There was a difference in the incidence of adult metabolic diseases and laboratory indicators in the adulthood between childhood obese patients and childhood non-obese patients. Childhood obesity is an independent risk factor for adult metabolic diseases.