scholarly journals Review: Radio Electric Asymmetric Conveyer (REAC) as adjuvant therapy of mental disorder

2022 ◽  
Vol 13 (1) ◽  
pp. 280-284
Author(s):  
Putri Aliya Ahadini ◽  
Muhamad Bagus Wira Utama ◽  
Adhyatma Ismu Reihan ◽  
Reny I’tishom

Mental disorders are one of the health disorders that contribute to high rates of disability and mortality worldwide. The current therapeutic modalities used to treat mental disorders are medical and psychological approaches, but it becomes problematic in some conditions, such as drug-resistant mental disorders. Radio Electric Asymmetric Conveyer (REAC) technology can be used as an alternative to overcome this problem. This technology uses radio waves which are guaranteed to be non-invasive and do not cause side effects. This technology enables neuromodulation effects by maximizing cell polarity and optimizing endogenous bioelectric activity. Of course, the REAC's mechanism as a neuromodulator and being a non-invasive technology is safe to use. It allows REAC to be used as an adjuvant therapy to reduce symptoms of several mental disorders such as depression, anxiety, bipolar disorder, phobias, and stress.

2001 ◽  
Vol 12 (1) ◽  
pp. 8-14
Author(s):  
Gertraud Teuchert-Noodt ◽  
Ralf R. Dawirs

Abstract: Neuroplasticity research in connection with mental disorders has recently bridged the gap between basic neurobiology and applied neuropsychology. A non-invasive method in the gerbil (Meriones unguiculus) - the restricted versus enriched breading and the systemically applied single methamphetamine dose - offers an experimental approach to investigate psychoses. Acts of intervening affirm an activity dependent malfunctional reorganization in the prefrontal cortex and in the hippocampal dentate gyrus and reveal the dopamine position as being critical for the disruption of interactions between the areas concerned. From the extent of plasticity effects the probability and risk of psycho-cognitive development may be derived. Advance may be expected from insights into regulatory mechanisms of neurogenesis in the hippocampal dentate gyrus which is obviously to meet the necessary requirements to promote psycho-cognitive functions/malfunctions via the limbo-prefrontal circuit.


BMJ Open ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. e047074
Author(s):  
Ben Mathews ◽  
Rosana Pacella ◽  
Michael Dunne ◽  
James Scott ◽  
David Finkelhor ◽  
...  

IntroductionChild maltreatment (physical abuse, sexual abuse, emotional abuse, neglect and exposure to domestic violence) is widely understood to be associated with multiple mental health disorders, physical health problems and health risk behaviours throughout life. However, Australia lacks fundamental evidence about the prevalence and characteristics of child maltreatment, its associations with mental disorders and physical health, and the associated burden of disease. These evidence gaps impede the development of public health strategies to better prevent and respond to child maltreatment. The aims of this research are to generate the first comprehensive population-based national data on the prevalence of child maltreatment in Australia, identify associations with mental disorders and physical health conditions and other adverse consequences, estimate attributable burden of disease and indicate targeted areas for future optimal public health prevention strategies.Methods and analysisThe Australian Child Maltreatment Study (ACMS) is a nationwide, cross-sectional study of Australia’s population aged 16 years and over. A survey of approximately 10 000 Australians will capture retrospective self-reported data on the experience in childhood of all five types of maltreatment (physical abuse, sexual abuse, emotional abuse, neglect and exposure to domestic violence). A customised, multimodule survey instrument has been designed to obtain information including: the prevalence and characteristics of these experiences; diagnostic screening of common mental health disorders; physical health; health risk behaviours and health service utilisation. The survey will be administered in March–November 2021 to a random sample of the nationwide population, recruited through mobile phone numbers. Participants will be surveyed using computer-assisted telephone interviews, conducted by trained interviewers from the Social Research Centre, an agency with extensive experience in studies of health and adversity. Rigorous protocols protect the safety of both participants and interviewers, and comply with all ethical and legal requirements. Analysis will include descriptive statistics reporting the prevalence of individual and multitype child maltreatment, multiple logistic and linear regression analyses to determine associations with mental disorders and physical health problems. We will calculate the population attributable fractions of these putative outcomes to enable an estimation of the disease burden attributable to child maltreatment.Ethics and disseminationThe study has been approved by the Queensland University of Technology Human Research Ethics Committee (#1900000477, 16 August 2019). Results will be published to the scientific community in peer-reviewed journals, scientific meetings and through targeted networks. Findings and recommendations will be shared with government policymakers and community and organisational stakeholders through diverse engagement activities, a dedicated Advisory Board and a systematic knowledge translation strategy. Results will be communicated to the public through an organised media strategy and the ACMS website.


2021 ◽  
pp. 1-12
Author(s):  
Simon Schmitt ◽  
Tina Meller ◽  
Frederike Stein ◽  
Katharina Brosch ◽  
Kai Ringwald ◽  
...  

Abstract Background MRI-derived cortical folding measures are an indicator of largely genetically driven early developmental processes. However, the effects of genetic risk for major mental disorders on early brain development are not well understood. Methods We extracted cortical complexity values from structural MRI data of 580 healthy participants using the CAT12 toolbox. Polygenic risk scores (PRS) for schizophrenia, bipolar disorder, major depression, and cross-disorder (incorporating cumulative genetic risk for depression, schizophrenia, bipolar disorder, autism spectrum disorder, and attention-deficit hyperactivity disorder) were computed and used in separate general linear models with cortical complexity as the regressand. In brain regions that showed a significant association between polygenic risk for mental disorders and cortical complexity, volume of interest (VOI)/region of interest (ROI) analyses were conducted to investigate additional changes in their volume and cortical thickness. Results The PRS for depression was associated with cortical complexity in the right orbitofrontal cortex (right hemisphere: p = 0.006). A subsequent VOI/ROI analysis showed no association between polygenic risk for depression and either grey matter volume or cortical thickness. We found no associations between cortical complexity and polygenic risk for either schizophrenia, bipolar disorder or psychiatric cross-disorder when correcting for multiple testing. Conclusions Changes in cortical complexity associated with polygenic risk for depression might facilitate well-established volume changes in orbitofrontal cortices in depression. Despite the absence of psychopathology, changed cortical complexity that parallels polygenic risk for depression might also change reward systems, which are also structurally affected in patients with depressive syndrome.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Jayakumar Sreenivasan ◽  
Mohammad S Khan ◽  
Safi U Khan ◽  
Wilbert S Aronow ◽  
Julio A Panza ◽  
...  

Background: Mental and behavioral health disorders (MBD) are associated with an increased risk of cardiovascular disease and with worse long-term outcomes after myocardial infarction (MI). Hypothesis: We hypothesized the prevalence of MBD among patients with acute MI is rising over time. Methods: Using National Inpatient Sample Database, we assessed temporal trends in the prevalence of MBD and in-hospital outcomes among patients hospitalized for acute MI in the US from 2008-2017. We used multiple logistic regression for in-hospital outcomes and examined yearly trends and estimated annual percent change (APC) in odds of MBD among MI patients. Results: We included a total of 6,117,804 patients with MI (ST elevation MI 30.4%) with a mean age of 67.2±0.04 and 39% females. Psychoactive substance use disorder (PSD) (24.9%) was the most common behavioral health disorder, and major depression (6.2%) and anxiety disorders (6.0%) were the most common mental health disorders, followed by bipolar disorder (0.9%), schizophrenia/psychotic disorders (0.8%) and post-traumatic stress disorder (PTSD) (0.3%). Between 2008 to 2018, the prevalence of PSD (23.7-25.0%, APC +0.6%), major depression (4.7-7.4%, APC +6.2%), anxiety disorders (3.2-8.9%, APC +13.5%), PTSD (0.2-0.6%, +12.5%) and bipolar disorder (0.7-1.0%, APC +4.0%) significantly increased over the time period. Major depression, bipolar disorder or schizophrenia/psychotic disorders were associated with a lower likelihood of coronary revascularization, although a co-diagnosis of MBD was associated with a lower risk of in-hospital mortality. Conclusion: MBD are common among patients with acute MI and there was a concerning increase in the prevalence of PSD, major depression, bipolar disorder, anxiety disorders and PTSD. Focused mental and behavioral health interventions and health care policy changes are warranted to address the increasing burden of comorbid MBD among acute MI.


2016 ◽  
Vol 33 (S1) ◽  
pp. S330-S331
Author(s):  
E. Chapela ◽  
M. Félix-Alcántara ◽  
J. Quintero ◽  
I. Morales ◽  
J. Gómez-Arnau ◽  
...  

IntroductionSevere mental disorders have deficits in different aspects of social cognition, which seem to be more pronounced in patients with schizophrenia compared to those with bipolar disorder. Emotional intelligence, defined as the ability to process, understand and manage emotions, is one of the main components of the sociocognition. Both in schizophrenia and bipolar disorder have been described changes in emotional intelligence, but only few studies compare both disorders.ObjectivesThe objective of this research is to increase knowledge about the differences between schizophrenia and bipolar disorder.AimsTo compare emotional intelligence in patients with schizophrenia versus bipolar patients.MethodsSeventy-five adult patients with schizophrenia and bipolar disorder were evaluate.The assessment protocol consisted of a questionnaire on socio-demographic and clinical-care data, and a battery of assessment scales (BPRS, PANSS, SCID-I-RV, YMRS, HDRS, CGI-S, EEAG, MSCEIT). Among the assessment tools of emotional intelligence, we select MSCEIT as the most validated.Statistical analysis was performed using SPSS 23 version. After the descriptive analysis of the data, we compare the results of the scales.ResultsBoth disorders show a deterioration of emotional intelligence compared to the general population. There were no statistically significant differences in the comparison of emotional intelligence between schizophrenia and bipolar disorder.ConclusionSchizophrenia and bipolar disorder have deficits in emotional intelligence, while it is difficult to show differences between them. These changes in emotional intelligence are part of a set of cognitive, social and non-social skills, which are altered in these severe mental disorders.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2018 ◽  
Vol 49 ◽  
pp. 16-22 ◽  
Author(s):  
Ragnar Nesvåg ◽  
Jørgen G. Bramness ◽  
Marte Handal ◽  
Ingeborg Hartz ◽  
Vidar Hjellvik ◽  
...  

AbstractBackgroundAntipsychotic drug use among children and adolescents is increasing, and there is growing concern about off-label use and adverse effects. The present study aims to investigate the incidence, psychiatric co-morbidity and pharmacological treatment of severe mental disorder in Norwegian children and adolescents.MethodsWe obtained data on mental disorders from the Norwegian Patient Registry on 0–18 year olds who during 2009–2011 were diagnosed for the first time with schizophrenia-like disorder (International Classification of Diseases, 10th revision codes F20-F29), bipolar disorder (F30-F31), or severe depressive episode with psychotic symptoms (F32.3 or F33.3). Data on filled prescriptions for psychotropic drugs were obtained from the Norwegian Prescription Database.ResultsA total of 884 children and adolescents (25.1 per 100 000 person years) were first time diagnosed with schizophrenia-like disorder (12.6 per 100 000 person years), bipolar disorder (9.2 per 100 000 person years), or severe depressive episode with psychotic symptoms (3.3 per 100 000 person years) during 2009–2011. The most common co-morbid mental disorders were depressive (38.1%) and anxiety disorders (31.2%). Antipsychotic drugs were prescribed to 62.4% of the patients, 72.0% of the schizophrenia-like disorder patients, 51.7% of the bipolar disorder patients, and 55.4% of the patients with psychotic depression. The most commonly prescribed drugs were quetiapine (29.5%), aripiprazole (19.6%), olanzapine (17.3%), and risperidone (16.6%).ConclusionsWhen a severe mental disorder was diagnosed in children and adolescents, the patient was usually also prescribed antipsychotic medication. Clinicians must be aware of the high prevalence of depressive and anxiety disorders among early psychosis patients.


2018 ◽  
Vol 49 (6) ◽  
pp. 952-961 ◽  
Author(s):  
Jonathan M. Platt ◽  
Katherine M. Keyes ◽  
Katie A. McLaughlin ◽  
Alan S. Kaufman

AbstractBackgroundMost research on the prevalence, distribution, and psychiatric comorbidity of intellectual disability (ID) relies on clinical samples, limiting the generalizability and utility of ID assessment in a legal context. This study assessed ID prevalence in a population-representative sample of US adolescents and examined associations of ID with socio-demographic factors and mental disorders.MethodsData were drawn from the National Comorbidity Survey Adolescent Supplement (N= 6256). ID was defined as: (1) IQ ⩽ 76, measured using the Kaufman Brief Intelligence Test; (2) an adaptive behavior score ⩽76, and (3) age of onset ⩽18 measured using a validated scale. The Composite International Diagnostic Interview assessed 15 lifetime mental disorders. The Sheehan disability scale assessed disorder severity. We used logistic regression models to estimate differences in lifetime disorders for adolescents with and without ID.ResultsID prevalence was 3.2%. Among adolescents with ID, 65.1% met lifetime criteria for a mental disorder. ID status was associated with specific phobia, agoraphobia, and bipolar disorder, but not behavior disorders after adjustment for socio-demographics. Adolescents with ID and mental disorders were significantly more likely to exhibit severe impairment than those without ID.ConclusionsThese findings highlight how sample selection and overlap between ID and psychopathology symptoms might bias understanding of the mental health consequences of ID. For example, associations between ID and behavior disorders widely reported in clinical samples were not observed in a population-representative sample after adjustment for socio-demographic confounders. Valid assessment and understanding of these constructs may prove influential in the legal system by influencing treatment referrals and capital punishment decisions.General Scientific SummaryCurrent definitions of intellectual disability (ID) are based on three criteria: formal designation of low intelligence through artificial problem-solving tasks, impairment in one's ability to function in his/her social environment, and early age of onset. In a national population sample of adolescents, the majority of those with ID met criteria for a lifetime mental disorder. Phobias and bipolar disorder, but not behavior disorders, were elevated in adolescents with ID. Findings highlight the need to consider how behavioral problems are conceptualized and classified in people with ID.


2021 ◽  
pp. 1-1
Author(s):  
Rashmi Sharma ◽  

Mental health disorders effect thinking, behave, mood etc. these can be schizophrenia, eating beh. Addictive beh, Depression, anxiety, feeling sad, down, fear, worry, guilt, anger, violence & suicidal thinking. Convolvulus is traditionally used to treat mental disorders insomnia, fatigue, low Energy


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