Heart Rate Variability in Psychiatric Disorders
نویسندگان
چکیده
Objectives: The autonomic nervous system (ANS) dysregulation is a well known risk of adverse cardiovascular events. Analysis of heart rate variability (HRV) can give a valuable window into the ANS function being implicated in various medical diseases. But HRV analysis is not well established although psychiatric research fi ndings have shown considerable association of psychopathology with cardiovascular comorbidity. In this review, we introduce the principle and technique of HRV analysis and illustrate how HRV analysis can shed light on neurobiology of psychiatric disorders. Methods: We present HRV methods and applications to quantify ANS dysregulation associated with psychiatric disorders. We will also highlight the novel approaches of HRV analysis to study mental illnesses in the context of genetic inferences and sleep physiology. Results: Symptoms of ANS disturbance are common in psychiatric disorders. HRV analysis has been used to quantify ANS dysregulation in depression, anxiety, and schizophrenia. Moreover, we reveal that some variations in genes, such as the genes encoding apolipoprotein-E and brain-derived neurotrophic factor, may have signifi cant impact on cardiac dynamics which are implicated in psychopathology of psychiatric disorders. Finally, we introduce cardiopulmonary coupling analysis which is adopted from HRV analysis to show its application to quantify sleep stability. Conclusions: Investigating ANS functions may give insight into understanding neurobiology of psychiatric disorders. We need prospective studies of ANS dysregulation in various psychiatric disorders to evaluate their psychopathology connected with cardiovascular comorbidity. Heart Rate Variability in Psychiatric Disorders
منابع مشابه
تغییرپذیری ضربان قلب Heart rate variability))
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
متن کاملتغییرپذیری ضربان قلب Heart rate variability))
Abstract Many studies have been conducted on heart rate variability. Variability in the heart signal of two sequential beats is called heart rate variability (HRV). Short- and long- term variability reflects autonomic nervous system function, so that increased or decreased heart rate variability (HRV) is an indicator of human health. So, the analysis of these changes can predict sudden death...
متن کاملHeart rate variability in bipolar mania and schizophrenia.
BACKGROUND Autonomic nervous system (ANS) dysfunction and reduced heart rate variability (HRV) have been reported in a wide variety of psychiatric disorders, but have not been well characterized in bipolar mania. We recorded cardiac activity and assessed HRV in acutely hospitalized manic bipolar (BD) and schizophrenia (SCZ) patients compared to age- and gender-matched healthy comparison (HC) su...
متن کاملHeart-Brain Coherence; Heart-Rate Variability (HRV); Reading Anxiety; TestEdge Program
Based on psychophysiological research, coherent heart-brain interaction can change afferent cardiac signal pattern sent to the brain. Accordingly, the present study aimed at facilitating the emotion-cognition interaction through HeartMath Institute self-regulated emotional techniques to investigate the efficacy of heart-brain coherence on reading anxiety reduction that significantly enhances at...
متن کاملAnalysis of Heart Rate Variability During Meditative and Non-Meditative State Using Analysis of Variance
In this paper the main objective is to quantify and compare the instantaneous value of heart rate for normal breathing patterns during Meditation and Non Meditation conditions. This paper involves Analysis of Variance (ANOVA) technique for the analysis of the heart rate variability patterns during the meditative and non meditative states. The analysis is divided into three stages i.e. data acqu...
متن کامل