Resting State Heart Rate Variability in Depression: An Introductory Narrative Review of Cross-Sectional and
Evelien Van Assche1, Carmen Schiweck2,3
1Department of Psychiatry, University of Münster, 48149 Münster, Germany.
Insights
Heart rate variability (HRV) shows potential as a biomarker for depression. Further research is needed to understand its predictive value for future depressive episodes.
Area of Science:
- Psychiatry and Cardiology
- Biomarkers in Mental Health
Background:
- Cardiovascular health and depression share a negative bidirectional relationship, increasing comorbidity, morbidity, and mortality.
- Heart rate variability (HRV) is increasingly recognized as a potential biomarker for major depressive disorder.
Purpose of the Study:
- To provide an introductory overview of the evidence linking depression and HRV.
- To guide researchers in utilizing HRV for depression studies.
Main Methods:
- Narrative review of cross-sectional and longitudinal studies.
- Inclusion of observational, pharmacological, and non-pharmacological intervention studies.
- Highlighting meta-analyses and key studies on depression and HRV.
Main Results:
- Evidence suggests vagally mediated HRV may help predict future depression.
- Numerous studies link depression and/or depressive symptoms to HRV.
- Physiological context, genetics, age, sex, medication, and lifestyle are important confounders.
Conclusions:
- HRV holds promise as a predictive biomarker for depression.
- More in-depth and stratified research on HRV is essential for advancing depression research.
Abstract:
Cardiovascular health and depression influence each other bidirectionally and negatively, leading to high comorbidity rates, and favouring higher morbidity and mortality. Heart rate variability (HRV) has received much attention as a "biomarker" for major depressive disorder, with studies suggesting its potential both as a diagnostic and as a predictive biomarker. This narrative review offers a first orientation to the evidence base for researchers entering the field. We present and discuss the state-of-the-art evidence of cross-sectional and longitudinal studies (including observational, pharmacological interventions, and non-pharmacological interventions) linking depression and/or depressive symptoms to HRV by highlighting meta-analyses and key studies in the field. We briefly discuss the physiological context for interpretation of HRV and important confounders to consider, including the influence of genetics, age, sex, antidepressant medication, and lifestyle factors. Finally, with this information at hand, we discuss and provide guidance for factors to consider when using HRV in designing a study. Our literature review indicates that while there is potential for vagally mediated HRV to be of value in predicting future depression, more in-depth and stratified research of HRV is beneficial to the field and the understanding of what HRV can mean for depression research.
More Related Videos
08:12Calculating Heart Rate Variability from ECG Data from Youth with Cerebral Palsy During Active Video Game Sessions
Published on: June 5, 2019
08:22Author Spotlight: Advancing the Study of Brain-Heart Interplay with a Comprehensive EEGLAB Plugin for Multimodal Signal Analysis
Published on: April 26, 2024
Related Concept Videos
Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Depression: Overview
Depressive Disorders: MDD and Dysthymia
Long-term Depression
Long-term Depression
Calcium Ion Concentration Mechanism
If over...
Factors Influencing Heart Rate
Let us explore the significant factors affecting heart rate, including age, body temperature, posture, acute pain, chemical influences,...
