Changes in heart rate variability in first-episode drug-naïve adolescents with major depressive disorder: A 12-week prospective study

Park, Sang won; Lee, Jong ha; Kim, Jihyun; Suh, Sangil; Lee, Moon Soo

doi:10.1016/j.jad.2018.05.068

Cited by 11 publications

(5 citation statements)

References 41 publications

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“…This has led researchers to propose that a restrained vagal activity could be a transdiagnostic biomarker across psychiatric disorders [17,155,161,162]. This hypothesis is further supported by the observation of worsening parasympathetic tone during the chronic course of psychiatric conditions [155,163], and parallel improvements in parasympathetic parameters as symptom severity reduces over the course of treatment [14,145,164,165].…”

Section: Hrv and Psychopathologymentioning

confidence: 95%

Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial

Pham

Lau

Chen

et al. 2021

Sensors

202

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The use of heart rate variability (HRV) in research has been greatly popularized over the past decades due to the ease and affordability of HRV collection, coupled with its clinical relevance and significant relationships with psychophysiological constructs and psychopathological disorders. Despite the wide use of electrocardiograms (ECG) in research and advancements in sensor technology, the analytical approach and steps applied to obtain HRV measures can be seen as complex. Thus, this poses a challenge to users who may not have the adequate background knowledge to obtain the HRV indices reliably. To maximize the impact of HRV-related research and its reproducibility, parallel advances in users’ understanding of the indices and the standardization of analysis pipelines in its utility will be crucial. This paper addresses this gap and aims to provide an overview of the most up-to-date and commonly used HRV indices, as well as common research areas in which these indices have proven to be very useful, particularly in psychology. In addition, we also provide a step-by-step guide on how to perform HRV analysis using an integrative neurophysiological toolkit, NeuroKit2.

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Section: Hrv and Psychopathologymentioning

confidence: 95%

Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial

Pham

Lau

Chen

et al. 2021

Sensors

202

View full text Add to dashboard Cite

show abstract

“…Hitherto, research on longitudinal monitoring of HRV and symptom severity of depression is scarce. Though some studies found changes in HRV to normalize along with improvement in severity of depression during antidepressant treatment (15, 38, 42) findings for specific HRV parameters remain inconsistent. Studies investigating changes in HRV parameters and severity of depression over the course of time are of importance for a better understanding of the relationship between HRV and disease state when HRV is supposed to be used as a diagnostic or predictive bio-marker for depression.…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Variability as Indicator of Clinical State in Depression

et al. 2019

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Background: Depression is a severe disease with great burdens for the affected individuals and public health care systems. Autonomic nervous system (ANS) dysfunction indexed by measures of heart rate variability (HRV) has repeatedly been associated with depression. However, HRV parameters are subject to a wide range of multi-factorial influences and underlying mechanisms in depression are still unclear. HRV parameters have been proposed to be promising candidates for diagnostic or predictive bio-markers for depression but necessary longitudinal design studies investigating the relationship between HRV and depression are scarce.Methods: The sample in this study consisted of 62 depressive individuals without antidepressant medication prior to assessment and 65 healthy controls. Fifteen minute blocks of resting ECGs were recorded 1–2 days before onset of antidepressant treatment and 2 weeks thereafter. The ECGs were pre-processed to extract inter-beat-intervals. Linear and non-linear methods were used to extract HRV parameters. ANOVAS were performed to investigate group differences between depressive patients and healthy controls. Associations between the change in severity of depression and HRV parameters were assessed in a repeated measurements design.Results: Analyses revealed HRV parameter differences between the groups of depressive patients and healthy controls at baseline. Further results show differences in HRV parameters within subjects after 2 weeks of antidepressant treatment. Change in HRV parameter values correlated with changes in symptom severity of depression.Discussion: The current results provide further insight into the relationship between HRV parameters and depression. This may help to underpin utilization of HRV parameters are bio-maker for disease state in depression. Results are discussed within a theoretical framework to link arousal and ANS regulation in depression.

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“…Cardiac function is extremely sensitive to autonomic regulatory inputs, whose abnormalities have been associated with major depression already at adolescent age. More specifically, the majority of studies reported reduced cardiac vagal-autonomic modulation associated with depressive symptoms or clinical MDD in children and adolescents [2][3][4][5][6]. Further, our recent study also pointed out that adolescent depressed patients were characterized by cardiac sympathetic overactivity [4].…”

Section: Introductionmentioning

confidence: 66%

Cardiac Autonomic Balance Is Altered during the Acute Stress Response in Adolescent Major Depression—Effect of Sex

Tonhajzerova,

Ferencova,

Ondrejka

et al. 2023

Life

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Autonomic nervous system (ANS) abnormalities are associated with major depressive disorder (MDD) already at adolescent age. The majority of studies so far evaluated parasympathetic and sympathetic branches of ANS individually, although composite indices including cardiac autonomic balance (CAB) and cardiac autonomic regulation (CAR) seem to measure ANS functioning more comprehensively and thus could provide better psychopathologies’ predictors. We aimed to study CAB and CAR derived from high-frequency bands of heart rate variability and left ventricular ejection time during complex stress response (rest–Go/NoGo task–recovery) in MDD adolescents with respect to sex. We examined 85 MDD adolescents (52 girls, age: 15.7 ± 0.14 yrs.) and 80 age- and sex-matched controls. The MDD group showed significantly reduced CAB compared to controls at rest, in response to the Go/NoGo task, and in the recovery phase. Moreover, while depressed boys showed significantly lower CAB at rest and in response to the Go/NoGo task compared to control boys, depressed girls showed no significant differences in evaluated parameters compared to control girls. This study for the first time evaluated CAB and CAR indices in drug-naïve first-episode diagnosed MDD adolescents during complex stress responses, indicating an altered cardiac autonomic pattern (i.e., reciprocal sympathetic dominance associated with parasympathetic underactivity), which was predominant for depressed boys.

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Changes in heart rate variability in first-episode drug-naïve adolescents with major depressive disorder: A 12-week prospective study

Cited by 11 publications

References 41 publications

Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial

Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial

Heart Rate Variability as Indicator of Clinical State in Depression

Cardiac Autonomic Balance Is Altered during the Acute Stress Response in Adolescent Major Depression—Effect of Sex

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