Heart rate variability during acute psychosocial stress: A randomized cross-over trial of verbal and non-verbal laboratory stressors

Brugnera, Agostino; Zarbo, Cristina; Tarvainen, Mika P.; Marchettini, Paolo; Adorni, Roberta; Compare, Angelo

doi:10.1016/j.ijpsycho.2018.02.016

Cited by 52 publications

(48 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…the amount of nonstationarities nor did it affect any parameter in the time and frequency domain or parameters from the symbolic dynamics analysis. Recent studies showed that female subjects had higher perceived stress and lower HRV parameters compared to male subjects 28 . These differences could be attributed to gender differences in e.g.…”

Section: Discussionmentioning

confidence: 99%

Binary symbolic dynamics analysis to detect stress-associated changes of nonstationary heart rate variability

Spellenberg

Heusser

Büssing

et al. 2020

Sci Rep

View full text Add to dashboard Cite

Psychological stress may have harmful physiological effects and result in deteriorating health. Acute psychological stress acts also on cardiac autonomic regulation and may lead to nonstationarities in the interbeat interval series. We address the requirement of stationary RR interval series to calculate frequency domain parameters of heart rate variability (HRV) and use binary symbolic dynamics derived from RR interval differences to overcome this obstacle. 24 healthy subjects (12 female, 20–35 years) completed the following procedure: waiting period, Trier Social Stress Test to induce acute psychological stress, recovery period. An electrocardiogram was recorded throughout the procedure and HRV parameters were calculated for nine 5-min periods. Nonstationarities in RR interval series were present in all periods. During acute stress the average RR interval and SDNN decreased compared to rest before and after the stress test. Neither low frequency oscillations (LF), high frequency oscillations (HF) nor LF/HF could unambiguously reflect changes during acute stress in comparison to rest. Pattern categories derived from binary symbolic dynamics clearly identified acute stress and accompanying alterations of cardiac autonomic regulation. Methods based on RR interval differences like binary symbolic dynamics should be preferred to overcome issues related to nonstationarities.

show abstract

Section: Discussionmentioning

confidence: 99%

Binary symbolic dynamics analysis to detect stress-associated changes of nonstationary heart rate variability

Spellenberg

Heusser

Büssing

et al. 2020

Sci Rep

View full text Add to dashboard Cite

show abstract

“…For protocols involving speech (e.g., social interaction; verbal stressors), vmHRV can be recorded during experimentally controlled periods varying in speech (e.g., listening versus speaking to a partner; silent preparation for social interaction, interaction, and silent post‐interaction recovery). Similar effects on or correlates of vmHRV across periods that vary in speech are less likely to result from confounding effects of movement or respiration (e.g., Brugnera et al, ).…”

Section: Conclusion and Future Agendamentioning

confidence: 99%

Toward a social psychophysiology of vagally mediated heart rate variability: Concepts and methods in self‐regulation, emotion, and interpersonal processes

Smith

Deits‐Lebehn

Williams

et al. 2020

Social & Personality Psych

View full text Add to dashboard Cite

Theory and research on self‐regulation, emotional adjustment, and interpersonal processes focus increasingly on parasympathetic functioning, using measures of vagally mediated heart rate variability (vmHRV) or respiratory sinus arrhythmia (RSA). This review describes models of vmHRV in these areas, and issues in measurement and analysis. We propose a framework organizing theory and research as examining (a) vmHRV as an individual difference or a situational response, and (b) resting, reactive, or recovery levels. Evidence supports interpretation of individual differences in resting vmHRV as a broad biomarker for adaptive functioning, but its specificity and underlying mechanisms require elaboration. Individual differences in vagal reactivity (i.e., trait‐like differences in vmHRV decreases during challenge or stress) are less commonly studied in adults and results are mixed. Many stressors and challenges evoke temporary decreases in vmHRV, and in some research self‐regulatory effort evokes increases. In a smaller literature, positive interpersonal experiences and some restorative processes increase resting vmHRV, whereas depletion of self‐regulatory capacity through related effort decreases it. Greater attention to conceptual distinctions regarding vmHRV constructs and several methodological issues will strengthen future research. Importantly, researchers should exercise caution in equating vmHRV with specific psychosocial constructs, especially in the absence of converging assessments and precise experimental manipulations.

show abstract

“…The PRV is affected by measurement errors related to lower accuracy of fiducial point detection, and physiological factors such as respiration [42]. Changes in respiratory patterns imposed by the exposure to stressful stimuli may mask the vagal withdrawal [44], [45].…”

Section: Discussionmentioning

confidence: 99%

Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression

Kontaxis

Gil

Marozas

et al. 2021

IEEE Trans. Biomed. Eng.

View full text Add to dashboard Cite

In the present study, a photoplethysmographic (PPG) waveform analysis for assessing differences in autonomic reactivity to mental stress between patients with Major Depressive Disorder (MDD) and healthy control (HC) subjects is presented. Methods: PPG recordings of 40 MDD and 40 HC subjects were acquired at basal conditions, during the execution of cognitive tasks, and at the post-task relaxation period. PPG pulses are decomposed into three waves (a main wave and two reflected waves) using a pulse decomposition analysis. Pulse waveform characteristics such as the time delay between the position of the main wave and reflected waves, the percentage of amplitude loss in the reflected waves, and the heart rate (HR) are calculated among others. The intra-subject difference of a feature value between two conditions is used as an index of autonomic reactivity. Results: Statistically significant individual differences from stress to recovery were found for HR and the percentage of amplitude loss in the second reflected wave (A13) in both HC and MDD group. However, autonomic reactivity indices related to A13 reached higher values in HC than in MDD subjects (Cohen's d = −0.81, AUC = 0.74), implying that the stress response in depressed patients is reduced. A statistically significant (p < 0.001) negative correlation (r = −0.5) between depression severity scores and A13 was found. Conclusion: A decreased autonomic reactivity is associated with higher degree of depression. Significance: Stress response quantification by dynamic changes in PPG waveform morphology can be an aid for the diagnosis and monitoring of depression.

show abstract

Heart rate variability during acute psychosocial stress: A randomized cross-over trial of verbal and non-verbal laboratory stressors

Cited by 52 publications

References 52 publications

Binary symbolic dynamics analysis to detect stress-associated changes of nonstationary heart rate variability

Binary symbolic dynamics analysis to detect stress-associated changes of nonstationary heart rate variability

Toward a social psychophysiology of vagally mediated heart rate variability: Concepts and methods in self‐regulation, emotion, and interpersonal processes

Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression

Contact Info

Product

Resources

About