Objective: To observe the effect of Baihe Zhimu Decoction on serum sex hormone and uterus index of ovariectomized rats with kidney-yin deficiency. Methods: 3-month years old femal SD rats which were ovariectomized were divided randomLy into 6 groups: ovariectomized, Baihe Zhimu DecoctionⅠ, Baihe Zhimu DecoctionⅡ, Baihe Zhimu Decoction Ⅲ, Baihe Zhimu Decoction Ⅳ, then the normal group was set. The rats were induced to kidney-yin deficiency by using etraiodothyronine, then ig Baihe Zhimu Decoction for 4 weeks. The levels of sex hormone E2, FSH, LH in serum were detected and the indexes of uterus were caculated to observe the effect of Baihe Zhimu Decoction on sexual hormone and sexual organ in ovariectomized rats with kidney-yin deficiency. Results: Compared with normal group, the index of uterus and E2 level declined, and the level of FSH and LH increased (P

Objective To investigate vitamin D ( VD) level and its influencing factors in 4-15-year-old children in southwest of Zhejiang province, so as to guide intervention strategy for improving VD level. Methods A total of 2 620 4 -15-year-old healthy children who visited Lishui People's Hospital for regular physical check-up between January and December 2014 were divided into 4 age groups, namely 4 -6 years (kindergarten), 7 -9 years (lower grades in primary school), 10 -12 years (higher grades in primary school), and 13-15 years (junior middle school).We randomly selected 200 children from each age group using a random number table.A survey using self-developed questionnaire was conducted to obtain information regarding diet, exposure to sunlight, and VD supplement.Serum 25-( OH) D level was measured with electro-chemiluminescence.VD nutritional status and composition, diet, sunlight exposure, VD supplement were com-pared among the groups.Results In southwest Zhejiang, the mean VD level in primary and middle school students was ( 24.76 ±8.39 ) μg/L, clinical deficiency rate was 31.5%, subclinical deficiency rate was 45.0%, and only 23.5% reached the appropriate level, which was even lower ( 14.5%) in junior middle school students.The VD deficiency rate elevated significantly along with the growth of age (P=0.036).The level of VD was positively correlated with sunlight exposure and VD supplementation, and showed significant in-ter-group differences ( all P<0.05 ) .Conclusions The nutritional status of VD is unfavorable and sunlight exposure insufficient in primary and middle school students in southwest Zhejiang province.We should encour-age students to take more outdoor activities and increase sunlight exposure to improve their VD nutritional sta-tus.Children >7 years should be given more attention to in the intervention of increasing sunlight exposure. Students with difficulties in getting adequate sunlight exposure need VD supplements.

The independent component analysis (ICA) is a new technique in statistical signal processing, which decomposes mixed signals into statistical independent components. The reported applications in biomedical and radar signal have demonstrated its good prospect in various blind signal separation. In this paper, the progress of ICA in such as its principle, algorithm and application and advance direction of ICA in future is reviewed. The aim is to promote the research in theory and application in the future.
Algorithms ; Brain ; physiology ; Humans ; Likelihood Functions ; Magnetic Resonance Imaging ; Nonlinear Dynamics ; Signal Processing, Computer-Assisted

Objective To observe the expression of Caspase-12 and GRP78 of endoplasmic reticulum stress (ERS) in cardiac arrest and beating heart mitral valve replacement Methods Thirty patients with rheumatic heart disease mitral stenosis were randomly divided into beating heart group (BH,n=15) and cardiac arrest group(CA, n = 15). Both groups accepted MVR by beating heart surgery and cardiac arrest surgery under cardiopulmonary bypass (CPB) respectively. Right atrial myocardial tissues were collected at prior the start of CPB (T0), after aortic cross-clamping 30 minutes (BH group 30 minutes after CPB, T1) and stitched right atrium (T2) respectively. The method of reverse transcriptase polymerase chain reaction (RT-PCR) was applied to detect the expression level of Caspase-12 and GRP78 in two groups and positive staining of Caspase-12 and GRP78 of myocardial tissue slices in both groups was observed by immunohistochemical method. Results The expression of Caspase-12 in CA group heightened at T1and significantly increased at T2 (P < 0.05) but the expression of Caspase-12 in BH group had increased in T2 only (P < 0.05). Caspase-12 in CA group expressed higher than that in BH group at T1 and T2. The expression of GRP78 had increased at T1 in two groups but it in CA group expressed higher than that inBH group at T2. The number of positive staining of Caspase-12 and GRP78 in CA group was higher than that in BH group at T2. Conclusion MVR of beating heart can reduce the reaction of ERS to enhance the myocardial protection under CPB.

The resting state cortical functional connectivity is an important method in current brain researches. In this paper, we propose an approach for analyzing and manipulating the resting state functional magnetic resonance imaging (fMRI) data using spatial independent component analysis (sICA) method, and applying the low-frequency oscillations theory to the choice of component of interest (COI) from the component obtained by sICA method. Firstly, we remove all the inactive voxels and independent voxels via Z value. Then, by making a spectrum analysis, we choose the COI with concentrations of energy between 0.01 and 0.1 Hz. And after that, we obtain the functional connectivity networks using hierarchical clustering.
Brain ; physiology ; Cluster Analysis ; Humans ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; methods ; Models, Neurological ; Principal Component Analysis

How to effectively remove the magnetic resonance imaging (MRI) artifacts in the electroencephalography (EEG) recordings, when EEG and functional magnetic resonance imaging (FMRI) are simultaneous recorded, is a challenge for integration of EEG and FMRI. According to the temporal-spatial difference between MRI artifacts and EEG, a new method based on sparse component decomposition in the mixed over-complete dictionary is proposed in this paper to remove MR artifacts. A mixed over-complete dictionary (MOD) of waveletes and discrete cosine which can exhibit the temporal-spatial discrepancy between MRI artificats and EEG is constructed first, and then the signals are separated by learning in this MOD with matching pursuit (MP) algorithm. The method is applied to the MRI artifacts corrupted EEG recordings and the decomposition result shows its validation.
Algorithms ; Artifacts ; Electroencephalography ; Evoked Potentials ; Magnetic Resonance Imaging ; Phantoms, Imaging ; Principal Component Analysis ; Signal Processing, Computer-Assisted

Objective To investigate the map and pattern of blood oxygen level dependent(BOLD)signal changes correlated to interictal epileptiform discharges(IEDs)with EEG-fMRI in patients with partial epilepsy and then to explore the pathophysiological mechanisms of epileptic discharges and their effect on brain function in partial epilepsy.Methods Through the method of EEG-fMRI,2 patients with parial epilepsy were studied.The relationship between the regions of BOLD signal changes linked to IEDs and the electroelinical localization of epileptogenic zone in patients with partial epilepsy were investigated.Results The epileptogenic areas localized by electroclinical findings in the 2 patients all showed maximal activation and 2 sites of significant activation were found in 1 of the 2 patients;Weak activation were also manifested in the opposite side corresponding to lesions.Conclusions IED-linked BOLD response in patients with partial epilepsy is mainly in epileptogenic zones and weak activation can also be seen in the corresponding contralateral areas of epileptogenic zoiles.Activation areas ale well concordant with epileptogenie areas localized by electroclinical findings.

Independent component analysis (ICA) is a new technique in statistical signal processing to extract independent components from multidimensional measurements of mixed signals. In this paper, for the processing of functional magnetic resonance imaging(fMRI) data, two signals of near voxels are used as the mixed signals and are separated by ICA. The correlation coefficients between the reference signal and the separated signals are calculated and those voxels whose correlation coefficients are greater than a threshold are considered to be the activated voxels by the stimulation, and so the functional localization of the stimulation is completed. The validity of the method was primarily proved by trial of real brain functional magnetic resonance imaging data.
Algorithms ; Brain ; pathology ; physiology ; Humans ; Magnetic Resonance Imaging ; statistics & numerical data ; Photic Stimulation ; Principal Component Analysis

OBJECTIVE: We hypothesize that the amplitude of low-frequency fluctuations (ALFF) is involved in the altered regional baseline brain function in social anxiety disorder (SAD). The aim of the study was to analyze the altered baseline brain activity in drug-naive adult patients with SAD. METHODS: We investigated spontaneous and baseline brain activities by obtaining the resting-state functional magnetic resonance imaging data of 20 drug-naive adult SAD patients and 19 healthy controls. Voxels were used to analyze the ALFF values using one- and two-sample t-tests. A post-hoc correlation of clinical symptoms was also performed. RESULTS: Our findings show decreased ALFF in the bilateral insula, left medial superior frontal gyrus, left precuneus, left middle temporal gyrus, right middle temporal pole, and left fusiform gyrus of the SAD group. The SAD patients exhibited significantly increased ALFF in the right inferior temporal gyrus, right middle temporal gyrus, bilateral middle occipital gyrus, orbital superior frontal gyrus, right fusiform gyrus, right medial superior frontal gyrus, and left parahippocampal gyrus. Moreover, the Liebowitz Social Anxiety Scale results for the SAD patients were positively correlated with the mean Z values of the right middle occipital and right inferior occipital but showed a negative correlation with the mean Z values of the right superior temporal gyrus and right medial superior frontal gyrus. CONCLUSION: These results of the altered regional baseline brain function in SAD suggest that the regions with abnormal spontaneous activities are involved in the underlying pathophysiology of SAD patients.
Adult* ; Anxiety ; Anxiety Disorders* ; Brain* ; Humans ; Magnetic Resonance Imaging* ; Orbit ; Parahippocampal Gyrus

Objective: To investigate the smartphone addiction among college students during the Coronavirus Disease 2019 (COVID-19) pandemic and its association with daily behaviors and mental health,and to provide reference for heath education and psychological counseling for college students. Methods: An observational study using online quyestionnaire was conducted among 10 357 college students of two provincial medical schools in Guangdong and Shanxi Province from February 24th to March 4th in 2020. Participants were investigated on demographic information, smartphone addiction, daily routine, physical activity, weight status, anxiety, and other health information. Logistic regression with inverse probability treatment weighting (IPTW) based on propensity score was used to analyze the association between smartphone addiction with daily behavior and mental health. Results: The prevalence of smartphone addiction was 59.42%. The prevalence of phone addiction was higher in postgraduates, senior undergraduates, students with non-medical major, students living in GuangDong and those without regular exercise habit before vacation(χ 2=47.91，17.78，42.75，138.58，P<0.05). With IPTW, there were significant associations between smartphone addiction and late bedtimes (OR=1.82, 95%CI=1.66-1.98) and wake-up times (OR=1.55, 95%CI=1.44-1.68), more sedentary behaviors (OR=1.21, 95%CI=1.12-1.31), less moderate to vigorous physical activity (OR=1.33, 95%CI=1.22-1.44), anxiety (OR=2.98, 95%CI=2.52-3.40), weight gain(OR=1.27，95%CI=1.17-1.37) and other detrimental daily behavior and feelings. Conclusion High prevalence of smartphone addiction has been observed during the COVID-19 pandemic, with impaired daily behavior and mental health.