scholarly journals THE RELATIONSHIP BETWEEN SEROTONINE, HISTAMINE AND THE BRAIN`S ELECTRICAL ACTIVITY IN PATIENTS WITH DEPRESSION AND ENDOCRINE DISORDERS

2021 ◽  
Vol 68 (2) ◽  
pp. 273-277
Author(s):  
Oana-Maria Nicola (Marioara) ◽  
◽  
Alice Elena Ghenea ◽  
Cristina-Nicoleta Vlădoianu ◽  
Mara Carsote ◽  
...  

Introduction. Depression is a persistent mental state of sadness that can affect an individual`s thoughts, behavior, emotion and well-being. The electroencephalogram (EEG) is of great importance both for experimental neurophysiology and for clinical diagnosis. The purpose of our study was to establish if there is a connection between the values of serotonine, histamine and EEG in patients with depression and endocrine pathology based on the collected data. Materials and methods. We included 50 individuals diagnosed with depression from Endocrinology Clinic of Craiova, over a period of 2 years (2018-2020). Serotonine and histamine were measured in blood and urine/24 hours in all the sample. Electroencephalography was performed to this patients. Outcomes. In our study, 27 patients had mild depression, 17 had moderate depression and 6 had a severe disorder Also, the serotonine values were low (normal value 80-400 μg/L) in patients with depression and endocrine pathology. Conclusion. In patients with EEG abnormalities occure significant changes in the values of serotonine and histamine (increased urinary histamine and decreased serotonine levels).

2013 ◽  
Vol 61 (2) ◽  
Author(s):  
Nurhanis Izzati Che Marzuki ◽  
Nasrul Humaimi Mahmood ◽  
Norlaili Mat Safri

Music is the science and the art of tones, or the musical sounds. Music is also the art of combining tones in a manner to please the ear. Music therapy is the planned and creative use of music to attain and maintain health and well–being. There are a lot of experimental efforts to understand musical processing in the brain using electroencephalogram (EEG). It is accepted that listening to music increases the theta and alpha bands power that is associated to increase relaxation. In this study, we are interested to find the type of music that can produce such state of mind by analysing the EEG power spectrum in those frequency bands. 4 types of music were investigated, i.e. sound of instrumental piano, sound of wave, sound of birds and sound of nature. As the result, 71.4% of subjects were able to achieved highest power spectral density in theta and alpha frequency bands while listening to sound of instrumental piano and sound of nature while only 28.6–42.9% of subjects were able to produce the same while listening to sound of wave and sound of bird. From the finding, it can be concluded that sound of instrumental piano and sound of nature increase relaxation as indicated by the increase of PSD in the theta/alpha frequency bands compared to the sound of wave and sound of bird.


2011 ◽  
Vol 69 (5) ◽  
pp. 829-835 ◽  
Author(s):  
Maria Emilia Cosenza Andraus ◽  
Soniza Vieira Alves-Leon

More than 80 years after its introduction by Hans Berger, the electroencephalogram (EEG) remains as an important supplementary examination in the investigation of neurological disorders and gives valuable and accurate information about cerebral function. Abnormal EEG findings may include ictal patterns, interictal epileptiform activity and non-epileptiform abnormalities. The aim of this study is to make an overview on the main non-epileptiform EEG abnormalities, emphasizing the pathologic findings and the importance of their recognition, excluding periodic patterns and EEG physiologic changes. Scientific articles were selected from MEDLINE and PubMed database. The presence of non-epileptiform EEG abnormalities provide evidence of brain dysfunction that are not specific to a particular etiology and may be related to a number of disorders affecting the brain. Although these abnormalities are not specific, they can direct attention to the diagnostic possibilities and guide the best treatment choice.


Author(s):  
STEPHEN KARUNGARU ◽  
TOSHIHIRO YOSHIDA ◽  
TORU SEO ◽  
MINORU FUKUMI ◽  
KENJI TERADA

An analysis of the Electroencephalogram (EEG) signals while performing a monotonous task and drinking alcohol using principal component analysis (PCA), linear discriminant analysis (LDA) for feature extraction and Neural Networks (NNs) for classification is proposed. The EEG is captured while performing a monotonous task that can adversely affect the brain and possibly cause stress. Moreover, we investigate the effects of alcohol on the brain by capturing the data continuously after consumption of equal amounts of alcohol. We hope that our work will shed more light on the relationship between such actions and EEG, and investigate if there is any relation between the tasks and mental stress. EEG signals offers a rare look at brain activity, while, monotonous activities are well known to cause irritation which may contribute to mental stress. We apply PCA and LDA to characterize the change in each component, extract it and discriminate using a NN. After experiments, it was found that PCA and LDA are effective analysis methods in EEG signal analysis.


2019 ◽  
Vol 29 (04) ◽  
pp. 1850024 ◽  
Author(s):  
Antonio José Ibáñez-Molina ◽  
Sergio Iglesias-Parro ◽  
Javier Escudero

Brain function has been proposed to arise as a result of the coordinated activity between distributed brain areas. An important issue in the study of brain activity is the characterization of the synchrony among these areas and the resulting complexity of the system. However, the variety of ways to define and, hence, measure brain synchrony and complexity has sometimes led to inconsistent results. Here, we study the relationship between synchrony and commonly used complexity estimators of electroencephalogram (EEG) activity and we explore how simulated lesions in anatomically based cortical networks would affect key functional measures of activity. We explored this question using different types of neural network lesions while the brain dynamics was modeled with a time-delayed set of 66 Kuramoto oscillators. Each oscillator modeled a region of the cortex (node), and the connectivity and spatial location between different areas informed the creation of a network structure (edges). Each type of lesion consisted on successive lesions of nodes or edges during the simulation of the neural dynamics. For each type of lesion, we measured the synchrony among oscillators and three complexity estimators (Higuchi’s Fractal Dimension, Sample Entropy and Lempel-Ziv Complexity) of the simulated EEGs. We found a general negative correlation between EEG complexity metrics and synchrony but Sample Entropy and Lempel-Ziv showed a positive correlation with synchrony when the edges of the network were deleted. This suggests an intricate relationship between synchrony of the system and its estimated complexity. Hence, complexity seems to depend on the multiple states of interaction between the oscillators of the system. Our results can contribute to the interpretation of the functional meaning of EEG complexity.


2021 ◽  
Vol 22 (10) ◽  
pp. 5308
Author(s):  
Kirill Smirnov ◽  
Tatiana Stroganova ◽  
Sophie Molholm ◽  
Olga Sysoeva

Rett syndrome (RTT) is a rare neurodevelopmental disorder that is usually caused by mutations of the MECP2 gene. Patients with RTT suffer from severe deficits in motor, perceptual and cognitive domains. Electroencephalogram (EEG) has provided useful information to clinicians and scientists, from the very first descriptions of RTT, and yet no reliable neurophysiological biomarkers related to the pathophysiology of the disorder or symptom severity have been identified to date. To identify consistently observed and potentially informative EEG characteristics of RTT pathophysiology, and ascertain areas most worthy of further systematic investigation, here we review the literature for EEG abnormalities reported in patients with RTT and in its disease models. While pointing to some promising potential EEG biomarkers of RTT, our review identify areas of need to realize the potential of EEG including (1) quantitative investigation of promising clinical-EEG observations in RTT, e.g., shift of mu rhythm frequency and EEG during sleep; (2) closer alignment of approaches between patients with RTT and its animal models to strengthen the translational significance of the work (e.g., EEG measurements and behavioral states); (3) establishment of large-scale consortium research, to provide adequate Ns to investigate age and genotype effects.


2021 ◽  
pp. 109-117
Author(s):  
Widiastuti Widiastuti ◽  
Novita Nirmalasari

Background: The COVID-19 pandemic has the potential to cause severe psychological harm. Psychological conditions such as anxiety, depression, stress, and disturbances are common among health care workers. The factors causing stress in health workers include workload, fear of being infected with COVID-19, the negative stigma of virus carriers, and being away from family. The research purposed to know the relationship between psychological condition and sleep quality. Methods: The research population consists of all nurses who have worked in the covid room. This research used descriptive correlation with a cross-sectional approach. The samples were collected using a simple random sampling technique with 30 respondents as inclusion and exclusion criteria. The questionnaires Depression Anxiety Stress Scale-21 (DASS-21) and Pittsburgh Sleep Quality Index (PSQI) were completed by the respondent. Data analysis was used Chi-Square. Results: Most of the respondents were females (66,67%) over the age of 30 (70%).  Most of them had a nursing education diploma (60%). They were dominant and had normal levels of depression (96,67%), anxiety (86,67%), and stress (93,33%). Most of them had poor sleep quality (63,33%). According to the findings, the p-values for depression, anxiety, and stress in sleep quality were 0.43, 0.73, and 0.26. It represents that no relationship exists between one variable and another. Meanwhile, some respondents have mild depression, moderate anxiety, and mild stress with poor sleep quality. Conclusion: Poor psychological conditions are still found in nurses, which can interfere with the quality of nursing services. Additional nursing interventions are required to improve nurses' psychological well-being.


2019 ◽  
Vol 28 (2) ◽  
pp. 274-284 ◽  
Author(s):  
Elizabeth Convery ◽  
Gitte Keidser ◽  
Louise Hickson ◽  
Carly Meyer

Purpose Hearing loss self-management refers to the knowledge and skills people use to manage the effects of hearing loss on all aspects of their daily lives. The purpose of this study was to investigate the relationship between self-reported hearing loss self-management and hearing aid benefit and satisfaction. Method Thirty-seven adults with hearing loss, all of whom were current users of bilateral hearing aids, participated in this observational study. The participants completed self-report inventories probing their hearing loss self-management and hearing aid benefit and satisfaction. Correlation analysis was used to investigate the relationship between individual domains of hearing loss self-management and hearing aid benefit and satisfaction. Results Participants who reported better self-management of the effects of their hearing loss on their emotional well-being and social participation were more likely to report less aided listening difficulty in noisy and reverberant environments and greater satisfaction with the effect of their hearing aids on their self-image. Participants who reported better self-management in the areas of adhering to treatment, participating in shared decision making, accessing services and resources, attending appointments, and monitoring for changes in their hearing and functional status were more likely to report greater satisfaction with the sound quality and performance of their hearing aids. Conclusion Study findings highlight the potential for using information about a patient's hearing loss self-management in different domains as part of clinical decision making and management planning.


GeroPsych ◽  
2018 ◽  
Vol 31 (3) ◽  
pp. 103-113 ◽  
Author(s):  
Minjie Lu ◽  
Angel Y. Li ◽  
Helene H. Fung ◽  
Klaus Rothermund ◽  
Frieder R. Lang

Abstract. This study addresses prior mixed findings on the relationship between future time perspective (FTP) and well-being as well as examines the associations between three aspects of FTP and life satisfaction in the health and friendship domains. 159 Germans, 97 US Americans, and 240 Hong Kong Chinese, aged 19–86 years, completed a survey on future self-views (valence) and life satisfaction. They also reported the extent to which they perceived future time as expanded vs. limited (time extension) and meaningful (openness). Findings revealed that individuals with more positive future self-views had higher satisfaction. However, those who perceived their future as more meaningful or perceived more time in their future reported higher satisfaction even when future self-views were less positive.


2019 ◽  
Vol 63 (3) ◽  
pp. 115-128 ◽  
Author(s):  
Maie Stein ◽  
Sylvie Vincent-Höper ◽  
Nicole Deci ◽  
Sabine Gregersen ◽  
Albert Nienhaus

Abstract. To advance knowledge of the mechanisms underlying the relationship between leadership and employees’ well-being, this study examines leaders’ effects on their employees’ compensatory coping efforts. Using an extension of the job demands–resources model, we propose that high-quality leader–member exchange (LMX) allows employees to cope with high job demands without increasing their effort expenditure through the extension of working hours. Data analyses ( N = 356) revealed that LMX buffers the effect of quantitative demands on the extension of working hours such that the indirect effect of quantitative demands on emotional exhaustion is only significant at low and average levels of LMX. This study indicates that integrating leadership with employees’ coping efforts into a unifying model contributes to understanding how leadership is related to employees’ well-being. The notion that leaders can affect their employees’ use of compensatory coping efforts that detract from well-being offers promising approaches to the promotion of workplace health.


Author(s):  
Melanie K. T. Takarangi ◽  
Deryn Strange

When people are told that their negative memories are worse than other people’s, do they later remember those events differently? We asked participants to recall a recent negative memory then, 24 h later, we gave some participants feedback about the emotional impact of their event – stating it was more or less negative compared to other people’s experiences. One week later, participants recalled the event again. We predicted that if feedback affected how participants remembered their negative experiences, their ratings of the memory’s characteristics should change over time. That is, when participants are told that their negative event is extremely negative, their memories should be more vivid, recollected strongly, and remembered from a personal perspective, compared to participants in the other conditions. Our results provide support for this hypothesis. We suggest that external feedback might be a potential mechanism in the relationship between negative memories and psychological well-being.


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