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A sequence of novel pyrazolone derivative was produced by the reaction of 2, 4-dinitrophenyl hydrazine (0.1 mol) and ethyl acetoacetate with benzaldehydes followed by hydrazine hydrate and finally treated with secondary amine and formaldehyde and the synthesized compounds were characterized by their physical properties (M.P and TLC) and UV, IR, 1HNMR, Mass spectroscopic studies respectively. The entire synthesized complex was tested for their anthelmintic, antimicrobialand haemostatic activity against gram-positive and gram-negative strains of bacteria and Eudrilus eugeniaand human venous blood. The antimicrobial activity of synthesized pyrazolone derivatives was assessed by agar cup method. All the synthesized complexes were screened for the antimicrobial, athelminticand haemostatic activity against some gram (+ve), Gram(-ve) organisms, Eudrilus eugeniaand human venous blood. The complexes exhibited reasonable to upright activity when compared with the standard one.
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Abstract Objective The present study aimed to analyze cardiac autonomic modulation via spectral and symbolic analysis of heart rate variability (HRV) in women with polycystic ovary syndrome (PCOS) who were subjected to two consecutive tilt tests. Methods A total of 64 women were selected and divided into 2 groups: control (without PCOS), and PCOS. Concentrations of follicle-stimulating hormone, luteinizing hormone, prolactin, estradiol, homocysteine, sex hormone-binding globulin, thyroid stimulating hormone, fasting insulin, testosterone, androstenedione, and 17-hydroxyprogesterone levels, triglycerides, free androgen index (FAI), and homeostasis assessment model (HOMA-IR) were assessed. Cardiac autonomic modulation was evaluated by spectral and symbolic analyses during two consecutive tilt tests (two moments) and supine moments before, between and after (three moments) the tilt tests. Results Women with PCOS had higher fasting insulin, HOMA-IR indexes, testosterone and FAI. Additionally, we observed that the PCOS group had greater sympathetic autonomic cardiac modulation in supine 2, tilt 1, and supine 3 moments compared with controls. Conclusion Women with PCOS had higher autonomic sympathetic cardiac modulation even after a second tilt test. No adaptation to this provocative test was observed. Spectral analysis was more sensitive for identifying differences between groups than the symbolic analysis.
Resumo Objetivo O presente estudo teve como objetivo analisar a modulação autonômica cardíaca por análise espectral e simbólica da variabilidade da frequência cardíaca (VFC) em mulheres com síndrome dos ovários policísticos (SOP) que foram submetidas a dois testes consecutivos de inclinação. Métodos Um total de 64 mulheres foram selecionadas e divididas em 2 grupos: controle (sem SOP) e SOP. Concentrações de hormônio folículo-estimulante, hormônio luteinizante, prolactina, estradiol, homocisteína, globulina de ligação a hormônios sexuais, hormônio estimulante da tireóide, insulina em jejum, testosterona e androstenediona e níveis de 17-hidroxiprogesterona, triglicerídeos, índice de andrógeno livre (FAI) e homeostase modelo de avaliação (HOMA-IR) foram avaliados. A modulação autonômica cardíaca foi avaliada por análises espectrais e simbólicas durante dois testes de inclinação consecutivos (dois momentos) e momentos supinos antes, entre e após (três momentos) os testes de inclinação. Resultados Mulheres com SOP apresentaram insulina em jejuM, índices HOMA-IR, testosterona e FAI mais altos. Além disso, observamos que o grupo PCOS apresentou maior modulação cardíaca autonômica simpática nos momentos supino 2, inclinado 1 e supino 3 em comparação aos controles. Conclusão Mulheres com SOP apresentaram modulação cardíaca simpática autonômica mais alta mesmo após um segundo teste de inclinação. Nenhuma adaptação a esse teste provocativo foi observada. A análise espectral foi mais sensível para identificar diferenças entre os grupos do que a análise simbólica.
Subject(s)
Humans , Female , Adolescent , Adult , Young Adult , Arrhythmias, Cardiac/physiopathology , Polycystic Ovary Syndrome/physiopathology , Arrhythmias, Cardiac/complications , Polycystic Ovary Syndrome/complications , Polycystic Ovary Syndrome/blood , Polycystic Ovary Syndrome/diagnostic imaging , Luteinizing Hormone/blood , Case-Control Studies , Tilt-Table Test , Follicle Stimulating Hormone/bloodABSTRACT
The article introduces the findings of the analysis of the existing approaches to the development of mathematical models of acoustic heart phenomena. The analysis of mathematical methods that can be used to model heart sounds has been performed with the use of reference signals from the 3M Open Library (Littmann Library) and a set of signals obtained by the authors during their previous scientific efforts. The analysis findings have allowed revealing the approaches and methods that are most suitable for developing the mathematical models of human phonocardiograms (normal and pathological) for further research efforts meant to develop methods to single out heart beats against the high level of interference and creating intervalograms to characterize the heart rate at the current moments of time. In addition to the generation of model phonocardiograms, the article reviews the methods to analyze model and real-life phonocardiograms with the assessment of an input from random and deterministic components.
Subject(s)
Humans , Phonocardiography/instrumentation , Spectrum Analysis , Acoustics , Models, Statistical , Heart Rate Determination/methods , Heart/physiologyABSTRACT
The aim of the present research work was to investigate the enzyme inhibitory potential of some new sulfonamides having benzodioxane and acetamide moieties. The synthesis was started by the reaction of N-2,3-dihydrobenzo[1,4]-dioxin-6-amine (1) with 4-methylbenzenesulfonyl chloride (2) in the presence of 10% aqueous Na2CO3 to yield N-(2,3-dihydrobenzo[1,4]-dioxin-6-yl)-4-methylbenzenesulfonamide (3), which was then reacted with 2-bromo-N-(un/substituted-phenyl)acetamides (6a-l) in DMF and lithium hydride as a base to afford various 2-{2,3-dihydro-1,4-benzodioxin-6-yl[(4-methylphenyl)sulfonyl]amino}-N-(un/substituted-phenyl)acetamides (7a-l). All the synthesized compounds were characterized by their IR and 1H-NMR spectral data along with CHN analysis data. The enzyme inhibitory activities of these compounds were tested against a-glucosidase and acetylcholinesterase (AChE). Most of the compounds exhibited substantial inhibitory activity against yeast a-glucosidase and weak against AChE. The in silico molecular docking results were also consistent with in vitro enzyme inhibition data.
Subject(s)
Sulfonamides/agonists , Cholinesterase Inhibitors , Glycoside Hydrolase Inhibitors , Spectrum Analysis/instrumentation , Acetamides/analysisABSTRACT
In order to meet the needs of the flow cytometry for the simultaneous analysis of multiple fluorescence wavelengths and small volume, the design method of flow cytometry spectrum analysis system is presented by analyzing the characteristics of Dyson structure. And according to the method, a flow cytometry spectrum analysis system is disigned with Dyson type.The system's spectral range is 400 nm to 800 nm, the defocused spot size is less than the pixel size 24μ mm, the ransfer function value is above 0.8 at the Nyquist cut-off frequency 21 lp/mm,the spectral resolution is less than 3 nm, and the overall size is 83.54 mm×85.60 mm.The system has good optical performance and small volume, which meets the needs of the flow cytometry fluorescence spectral analysis. The outstanding innovation of this system is the application of Dyson light splitting structure and EMCCD detector which is high speed and high sensitivity.
Subject(s)
Equipment Design , Flow CytometryABSTRACT
simultaneous monitoring of blood flow and changes of concentration of oxyhemoglobin (ΔHbO) in brain is a key important method for the research of cerebrovascular disease. In this study, a new monitoring system, combining laser speckle contrast imaging method and spectral analysis method, was proposed, which could be utilized to measure the cerebral blood flow and ΔHbO on mice during traumatic brain injury. The principle of the present system was studied and the hardware platform of the detection system was built. Then, user interface software and algorithms were implemented based on Labview and Matlab software. Finally, the performance of the present system was verified by the experiments.
Subject(s)
Algorithms , Animals , Blood Gas Analysis , Brain , Cerebrovascular Circulation , Lasers , Mice , OxygenABSTRACT
OBJECTIVES: Insomnia is one of the most prevalent sleep disorders. Recent studies suggest that cognitive and physical arousal play an important role in the generation of primary insomnia. Studies have also shown that information processing disorders due to cortical hyperactivity might interfere with normal sleep onset and sleep continuity. Therefore, focusing on central nervous system arousal and normalizing the information process have become current topics of interest. It has been well known that neurofeedback can reduce the brain hyperarousal by modulating patients' brain waves during a sequence of behavior therapy. The purpose of this study was to investigate effects of neurofeedback therapy on electroencephalography (EEG) characteristics in patients with primary insomnia. METHODS: Thirteen subjects who met the criteria for an insomnia diagnosis and 14 control subjects who were matched on sex and age were included. Neurofeedback and sham treatments were performed in a random order for 30 minutes, respectively. EEG spectral power analyses were performed to quantify effects of the neurofeedback therapy on brain wave forms. RESULTS: In patients with primary insomnia, relative spectral theta and sigma power during a therapeutic neurofeedback session were significantly lower than during a sham session (13.9 ± 2.6 vs. 12.2 ± 3.8 and 3.6 ± 0.9 vs. 3.2 ± 1.0 in %, respectively; p < 0.05). There were no statistically significant changes in other EEG spectral bands. CONCLUSION: For the first time in Korea, EEG spectral power in the theta band was found to increase when a neurofeedback session was applied to patients with insomnia. This outcome might provide some insight into new interventions for improving sleep onset. However, the treatment response of insomniacs was not precisely evaluated due to limitations of the current pilot study, which requires follow-up studies with larger samples in the future.
Subject(s)
Arousal , Electronic Data Processing , Behavior Therapy , Brain , Brain Waves , Central Nervous System , Diagnosis , Electroencephalography , Follow-Up Studies , Humans , Korea , Neurofeedback , Pilot Projects , Sleep Initiation and Maintenance Disorders , Sleep Wake DisordersABSTRACT
Manually reviewing electroencephalograms (EEGs) is labor-intensive and demands automated seizure detection systems. To construct an efficient and robust event detector for experimental seizures from continuous EEG monitoring, we combined spectral analysis and deep neural networks. A deep neural network was trained to discriminate periodograms of 5-sec EEG segments from annotated convulsive seizures and the pre- and post-EEG segments. To use the entire EEG for training, a second network was trained with non-seizure EEGs that were misclassified as seizures by the first network. By sequentially applying the dual deep neural networks and simple pre- and post-processing, our autodetector identified all seizure events in 4,272 h of test EEG traces, with only 6 false positive events, corresponding to 100% sensitivity and 98% positive predictive value. Moreover, with pre-processing to reduce the computational burden, scanning and classifying 8,977 h of training and test EEG datasets took only 2.28 h with a personal computer. These results demonstrate that combining a basic feature extractor with dual deep neural networks and rule-based pre- and post-processing can detect convulsive seizures with great accuracy and low computational burden, highlighting the feasibility of our automated seizure detection algorithm.
Subject(s)
Animals , Dataset , Electroencephalography , Epilepsy , Mice , Microcomputers , SeizuresABSTRACT
In last few decades, though significant progress has been made in the treatment and control strategies of tubercular infections by introducing new diagnostic and monitoring tools and combination therapy, it still continues to be se-vere problem. The need of study was only because of there are many drugs in market to treat infection but most of the drugs are showing resistance because of the same it is difficult to treat the infection. In this study we chosen quinolone nucleus for study and over it. Thus with the aim of developing novel molecule with improved potency for treating Mycobacterium tuberculosisH37Rv strain infections and with decreased probability of developing drug re-sistance. Methodology:The synthesis of Quinolone derivatives, starting from substituted aniline and ethyl acetoace-tate, by conventional organic reaction and results of investigations of their anti-mycobacterial activity.Results: MICs of the synthesized compounds are compared with existing drugs Cytotoxicity. The substituted quinolones are synthe-sized by taking mixture of7-substituted-2-(3-chloro-2-oxopropyl) quinolin-4(1H)-one and different secondary amines. Many compounds have shown promising activity while some were inactive. Conclusion:It was found that Compound A1,A3,B1,B3,have shown promising anti tubercular activity whereas compound A2, A4,B2,B4were showing moderate anti tubercular activity against std. Streptomycin.
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AbstractIntroduction: Ultrasound (US) is a nonionizing radiation capable of real time imaging at low cost. Its most attractive application is quantitative tissue characterization with the objective of differentiating normal tissues from diseased tissues. In this study, an automated method using singular spectrum analysis (SSA) to estimate the mean scatterer space (MSS) of US signals is proposed. Methods Entropy was used to determine the optimal number of components for the SSA. Subsequently, this number was compared with the results using a fixed number of components. A method based on the spectrum of the original signal was also used for comparison. The method was evaluated by using 24,000 simulated US signals, i.e., echoes and jitters backscattered from samples with different ratios of regular-to-irregular structure, as well as with 152 signals obtained from a phantom made of nylon wires. Results For the simulated signals, the proposed method for estimating the MSS presented results similar to the other methods that were tested. However, the magnitude-of-the-spectrum method loses the phase information, and hence, does not allow the characterization of irregular structures. For the signals recorded from the phantom, the methods using SSA and entropy achieved better results. Conclusion In this study, the combination of SSA with entropy to estimate the MSS of a periodic or quasi-periodic medium was proposed. The proposed method achieved similar or better results compared with two other methods found in the scientific literature. The novelty of the proposed method is the application of entropy as a quantitative criterion for selecting the SSA periodic components, allowing it to become independent of heuristic criteria.
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Aim: Colon is one of the major constituent of the large intestine; occurrence of cancer in it is one of the burning issues that remain unresolved. A large number of people get died every year in this problem. Study Design: In the field of medical image processing the detection of Colon cancer is a big challenge. So far, many research works are proposed, however, no research and investigations are found to bring up the best technique to assess the disease. Place and Duration of Study: Several strategies, in view of the spatial analysis of colon biopsy images, and serum and gene analysis of colon samples, have been proposed in such manner. Methods: Quick advancement of colon cancer detection methods, are yet to be analyzed by the help of this particular work which ensures to coming up with best strategies. Results: In this review, we arrange the procedures on the premise of the adopted system and basic data set, and give a detailed description of methods in every category. Also, this study gives a far extensive examination of different colon cancer detection categories, and of multiple procedures inside every category. Conclusions: Further, the majority of the procedures have been assessed on comparative data set to give a reasonable performance correlation. Ultimately this review can helpful for the researches to proceed their research in the field of colon cancer detection.
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OBJECTIVE: We utilized a spectral and network analysis technique with an integrated support vector classification algorithm for the automated detection of cognitive capacity using resting state electroencephalogram (EEG) signals. METHODS: An eyes-closed resting EEG was recorded in 158 older subjects, and spectral EEG parameters in seven frequency bands, as well as functional brain network parameters were, calculated. In the feature extraction stage, the statistical power of the spectral and network parameters was calculated for the low-, moderate-, and high-performance groups. Afterward, the highly-powered features were selected as input into a support vector machine classifier with two discrete outputs: low- or high-performance groups. The classifier was then trained using a training set and the performance of the classification process was evaluated using a test set. RESULTS: The performance of the Support Vector Machine was evaluated using a 5-fold cross-validation and area under the curve values of 70.15% and 74.06% were achieved for the letter numbering task and the spatial span task. CONCLUSION: In this study, reliable results for classification accuracy and specificity were achieved. These findings provide an example of a novel method for parameter analysis, feature extraction, training, and testing the cognitive function of elderly subjects based on a quantitative EEG signal.
Subject(s)
Aged , Brain , Classification , Cognition , Electroencephalography , Humans , Memory, Short-Term , Methods , Sensitivity and Specificity , Support Vector MachineABSTRACT
Background: Although nanoparticles (NPs) have many advantages, it has been proved that they may be absorbed by and have toxic effects on the human body. Recent research has tried to evaluate and compare the nanotoxicity of gold nanoparticles (AuNPs) produced by two types of microorganisms in vitro by two different methods. AuNPs were produced by Bacillus cereus and Fusarium oxysporum, and their production was confirmed by visible spectral, transmission electron microscope, and X-ray diffraction (XRD) analyses. The human fibroblast cell line CIRC-HLF was treated with AuNPs, and the induced nanotoxicity was measured using direct microscopic and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assays. Results: The results showed that the produced AuNPs had a maximum absorbance peak around 510530 nanometer (nm), with spherical, hexagonal, and octagonal shapes and average sizes around 2050 nm. The XRD results confirmed the presence of GNPs in the microbial culture supernatants. An MTT assay showed that GNPs had dose-dependent toxic effects, and microscopic analysis showed that GNPs induced cell abnormalities in doses lower than the determined half-maximal inhibitory concentrations (IC50s). Conclusions: In conclusion, the biologically produced AuNPs had toxic effects in the cell culture, and direct techniques such as microscopic evaluation instead of indirect methods such as MTT assay were more useful for assessing the nanotoxicity of the biologically produced AuNPs. Thus, the use of only MTT assay for nanotoxicity evaluation of AuNPs is not desirable.
Subject(s)
Nanoparticles/metabolism , Nanoparticles/toxicity , Gold/metabolism , Gold/toxicity , Spectrophotometry , Bacillus cereus/metabolism , Cells, Cultured , Gold Compounds/metabolism , Gold Compounds/toxicity , Toxicity Tests , Surface Plasmon Resonance , Nanotechnology , Microscopy, Electron, Transmission , Metal Nanoparticles/toxicity , Fusarium/metabolismABSTRACT
Devices that monitor the depth of hypnosis based on the electroencephalogram (EEG) have long been commercialized, and clinicians use these to titrate the dosage of hypnotic agents. However, these have not yet been accepted as standard monitoring devices for anesthesiology. The primary reason is that the use of these monitoring devices does not completely prevent awareness during surgery, and the development of these devices has not taken into account the neurophysiological mechanisms of hypnotic agents, thus making it possible to show different levels of unconsciousness in the same brain status. An alternative is to monitor EEGs that are not signal processed with numerical values presented by these monitoring devices. Several studies have reported that power spectral analysis alone can distinguish the effects of different hypnotic agents on consciousness changes. This paper introduces the basic concept of power spectral analysis and introduces the EEG characteristics of various hypnotic agents that are used in sedation.
Subject(s)
Anesthesiology , Anesthetics , Brain , Consciousness , Electroencephalography , Humans , Hypnosis , Hypnotics and Sedatives , UnconsciousnessABSTRACT
Objective To observe the changes of electroencephalogram (EEG) signal during the resting state in adolescents with smoking addiction.Methods Spectral analysis during the resting state was used to observe and analyze the EEG signals between adolescents with smoking addiction (n=21) and nosmoking control group (n=21) by using Brain Vision Analyzer software.Results Compared with the nosmoking control group,adolescents with smoking addiction showed increased alpha band signals in 3 brain regions (including left-anterior,right-anterior and midline-anterior regions,P<0.05),and decreased delta band signals in 3 brain regions (including right-posterior,midline-anterior and midline-posterior regions,P<0.05).Moreover,the signals in these brain regions were positively correlated with pack-years (alpha band:left-anterior(r=0.648,P=0.003),right-anterior (r=0.629,P=0.004),midline-anterior (r=0.456,P=0.043);delta band:right-posterior (r=0.602,P =0.005),midline-anterior (r =0.533,P=0.019),midline-posterior (r=0.692,P=0.001))in adolescents with smoking addiction.Conclusion The changes of EEG signals during the resting state in adolescents with smoking addiction may be associated with cumulative effects of smoking.
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Internet gaming disorder (IGD) is often comorbid with attention deficit hyperactivity disorder (ADHD). In this study, we compared the neurobiological differences between ADHD comorbid with IGD (ADHD+IGD group) and ADHD without comorbidity (ADHD-only group) by analyzing quantitative electroencephalogram (QEEG) findings. We recruited 16 male ADHD+IGD, 15 male ADHD-only adolescent patients, and 15 male healthy controls (HC group). Participants were assessed using Young's Internet Addiction Scale and ADHD Rating Scale. Relative power and inter- and intra-hemispheric coherences of brain waves were measured using a digital electroencephalography (EEG) system. Compared to the ADHD-only group, the ADHD+IGD group showed lower relative delta power and greater relative beta power in temporal regions. The relative theta power in frontal regions were higher in ADHD-only group compared to HC group. Inter-hemispheric coherence values for the theta band between F3–F4 and C3–C4 electrodes were higher in ADHD-only group compared to HC group. Intra-hemispheric coherence values for the delta, theta, alpha, and beta bands between P4–O2 electrodes and intra-hemispheric coherence values for the theta band between Fz–Cz and T4–T6 electrodes were higher in ADHD+IGD group compared to ADHD-only group. Adolescents who show greater vulnerability to ADHD seem to continuously play Internet games to unconsciously enhance attentional ability. In turn, relative beta power in attention deficit in ADHD+IGD group may become similar to that in HC group. Repetitive activation of brain reward and working memory systems during continuous gaming may result in an increase in neuronal connectivity within the parieto-occipital and temporal regions for the ADHD+IGD group.
Subject(s)
Adolescent , Attention Deficit Disorder with Hyperactivity , Brain , Brain Waves , Comorbidity , Electrodes , Electroencephalography , Humans , Immunoglobulin D , Internet , Male , Memory, Short-Term , Neurons , Reward , Temporal LobeABSTRACT
OBJECTIVE: This study was conducted to identify differences between people with narcolepsy and the normal control of delta and theta activity using electroencephalogram (EEG) spectrum analysis of nocturnal polysomnography (PSG). METHODS: Seven narcolepsy patients and seven age-sex matched normal controls underwent PSG and multiple sleep latency tests. Participants' non-rapid eye movement (NREM) sleep EEGs in PSG was analyzed using a Fast Fourier Transform technique. RESULTS: While NREM delta activity of people with narcolepsy declined during the first three periods of NREM, there was no change during the 4th period of NREM. The increase in NREM theta activity also lasted until the 3rd period of NREM but did not occur during the 4th period of NREM. In comparing sleep parameters, REM sleep latency in the narcolepsy group was significantly shorter than in controls. CONCLUSION: These results suggest that people with narcolepsy are likely to have a delta and theta activity-related sleep disturbance mechanism in NREM sleep.
Subject(s)
Electroencephalography , Eye Movements , Fourier Analysis , Humans , Narcolepsy , Polysomnography , Sleep, REM , Spectrum AnalysisABSTRACT
Abstract Introduction: Disorders of circadian rhythms have been reported in studies of both depressed children and of depressed adolescents. The aim of this study was to evaluate whether there is a relationship between the 24-hour spectral power (24h SP) of the activity/rest rhythm and the clinical course of depression in adolescents. Methods: Six 14 to 17-year-old adolescents were recruited for the study. They were all suffering from major depressive disorder, according to the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV) criteria, as identified by the Schedule for Affective Disorders and Schizophrenia for School Aged Children: Present and Lifetime Version (K-SADS-PL). Depressive symptoms were assessed using the Children's Depression Rating Scale - Revised (CDRS-R) and clinical evaluations. Locomotor activity was monitored over a period of 13 consecutive weeks. Activity was measured for 10-minute periods using wrist-worn activity monitors. All patients were prescribed sertraline from after the first week up until the end of the study. Results: We found a relationship between high CDRS values and low 24-hour spectral power. Conclusions: The 24h SP of the activity/rest rhythm correlated significantly (negatively) with the clinical ratings of depression.
Resumo Introdução: Distúrbios do ritmo circadiano têm sido relatados em estudos com crianças e adolescentes deprimidos. O objetivo deste estudo foi avaliar se existe relação entre a potência espectral de 24 horas do ritmo de atividade e repouso e sintomas clínicos de depressão em adolescentes. Métodos: Seis adolescentes com idade entre 14 e 17 anos foram recrutados para o estudo. Eles foram diagnosticados com depressão maior de acordo com os critérios do Manual Diagnóstico e Estatístico de Transtornos Mentais, 4ª edição (DSM-IV), identificados utilizando-se o instrumento Schedule for Affective Disorders and Schizophrenia for School Aged Children: Present and Lifetime Version (K-SADS-PL). Os sintomas depressivos foram avaliados pelo questionário Children's Depression Rating Scale - Revised (CDRS-R) e por avaliações clínicas. A atividade motora foi monitorada por um período de 13 semanas consecutivas e registrada a cada 10 minutos utilizando-se monitores de atividades usados no pulso. Todos os pacientes utilizaram o antidepressivo sertralina começando após a primeira semana até o final do estudo. Resultados: Foi observada uma relação entre escores altos no CDRS-R e valores baixos de potência espectral de 24 horas no ritmo de atividade e repouso. Conclusão: A potência espectral de 24 horas do ritmo de atividade e repouso apresentou uma correlação significativa (negativa) com os sintomas clínicos de depressão.
Subject(s)
Humans , Male , Female , Adolescent , Circadian Rhythm , Depressive Disorder, Major/complications , Depressive Disorder, Major/physiopathology , Depressive Disorder, Major/therapy , Motor Activity , Psychiatric Status Rating Scales , Rest , ActigraphyABSTRACT
Context: In attempt to find an alternative way to determine conversion from ocular hypertension to primary open angle glaucoma (POAG) (besides visual field and optic disc changes), we analyzed intraocular pressure (IOP) pulse wave in spectral domain. Aims: The aim of this study was to test the potential differences in spectral content of IOP pulse wave between ocular hypertension and POAG patients, which could indicate conversion. Settings and Design: Cross‑sectional study designed to test the differences in the spectral content of pressure pulse wave between nontreated ocular hypertensive and nontreated, freshly diagnosed POAG patients. Methods: The total of 40 eyes of 40 subjects was included: 20 previously untreated ocular hypertensive patients, and 20 previously untreated POAG patients. Continuous IOP measuring gained by dynamic contour tonometry was submitted to fast Fourier transform signal analysis and further statistical data processing. Statistics Analysis Used: Ocular and systemic characteristics of the tested subjects were compared by analysis of variance appropriate for this study design. A P < 0.05 was considered to be statistically significant. Results: Higher spectral components of the IOP pulse wave was discerned up to the fifth harmonic in both of the tested groups. No statistically significant differences were found in any of the tested harmonic amplitudes. Conclusions: There are no differences in the spectral content of IOP pulse wave between ocular hypertensive and primary open angle glaucoma patients which could be indicative for conversion.
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Objective: To study the chemical constituents from the stems and leaves of Isodon nervosus. Methods: The chemical constituent was isolated and purified by chromatographic methods and structurally identified by physicochemical characteristics and spectral data. Results: One new compound was isolated from 95% ethanol extract of I. nervosus, the structure was identified as 15α,20β/α-dihydroxy-6β-methoxy-6,7-seco-6,20-epoxy-1α,7-olide-ent-kaur-16-ene. Conclusion: A new diterpenoid was identified and named as rabdonervosin K.