Blood volume pulse (BVP) derived vagal tone (VT) between 5 and 7 years of age: A methodological investigation of measurement and longitudinal stability

Heathers, James; Fink, Elian; Kuhnert, Rebecca‐Lee; Rosnay, Marc de

doi:10.1002/dev.21088

Cited by 8 publications

(9 citation statements)

References 71 publications

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“…Participants’ HRV was assessed in the frequency-domain according to the natural log of the total power of the high-frequency band (0.15–40 Hz) (Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology, 1996) using a ProComp Infiniti (Thought Technology, Montreal, QC, Canada) multi-modal biofeedback system. This system is suitable for assessing physiological markers such as high-frequency HRV (e.g., Shaw et al, 2012; Heathers et al, 2014). Data was assessed by measuring participant’s blood volume pulse using a photo-plethysmograph sensor on the palmer surface of the non-dominant index finger at a sampling rate of 2048 Hz (Combatalade, 2010; Shaw et al, 2012).…”

Section: Methodsmentioning

confidence: 99%

Self-Compassion and Psycho-Physiological Recovery From Recalled Sport Failure

et al. 2019

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Failure inherent to high-performance sport can precipitate emotional distress that can impair athletes’ performance and physical and mental health. Identifying factors that allow athletes to manage failure to sustain their health is critical. Self-compassion, treating oneself kindly in response to failure, may help athletes manage failure; it buffers against negative affective psychological responses, yet athletes often fear self-compassion. It is unknown whether the benefits of self-compassion extend to athletes’ physiological responses to failure and whether fear of self-compassion has an influence on psychological and physiological responses to failure, beyond self-compassion. The purpose of this study was to examine the influence of self-compassion on athletes’ psychological and physiological responses when recalling a sport failure and determine if fear of self-compassion exerted unique effects, beyond self-compassion. Participants ( n = 91; M age = 21) were university or national-level athletes. In this laboratory-based, observational study, athletes were connected to a multi-modal biofeedback system to measure physiological responding at baseline, during a stress induction (imagining a past performance failure), and during a recovery period. Physiological responding was assessed according to athletes’ high-frequency heart rate variability (HRV), indexing parasympathetic nervous system activity, during the stress induction and recovery phase. Next, to assess psychological reactivity, athletes completed a series of scales (behavioral reactions, thoughts, and emotions). Regression analyses revealed that self-compassion predicted athletes’ HRV reactivity to the stress induction (β = 0.30, p < 0.05). There was no relationship between self-compassion and HRV recovery. Further, self-compassion predicted adaptive behavioral reactions (β = 0.46, p < 0.01), and negatively predicted maladaptive thoughts (β = −0.34, p < 0.01) and negative affect (β = −0.39, p < 0.01). Fear of self-compassion explained additional variance in some maladaptive thoughts and behavioral reactions. Results suggest that self-compassion promotes adaptive physiological and psychological responses in athletes relative to a recalled sport failure and may have implications for performance enhancement, recovery and health outcomes. Further, addressing athletes’ fears of self-compassion may also be important in promoting optimal psychological recovery.

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Section: Methodsmentioning

confidence: 99%

Self-Compassion and Psycho-Physiological Recovery From Recalled Sport Failure

et al. 2019

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“… 163 This frequently happens with photopletysmography recordings because movement artifacts destroy adaptive filters, which often require 5–6 s to ‘re-adapt'. Five percent is the commonly stated threshold for R-peak data loss to render a series unusable (for example, Heathers et al 164 ), which to our knowledge has no empirical basis. However this, again, is a convention instead of an analytic barrier; therefore, the threshold used should be noted.…”

Section: Data Cleaning and Analysismentioning

confidence: 99%

Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication

2016

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The number of publications investigating heart rate variability (HRV) in psychiatry and the behavioral sciences has increased markedly in the last decade. In addition to the significant debates surrounding ideal methods to collect and interpret measures of HRV, standardized reporting of methodology in this field is lacking. Commonly cited recommendations were designed well before recent calls to improve research communication and reproducibility across disciplines. In an effort to standardize reporting, we propose the Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH), a checklist with four domains: participant selection, interbeat interval collection, data preparation and HRV calculation. This paper provides an overview of these four domains and why their standardized reporting is necessary to suitably evaluate HRV research in psychiatry and related disciplines. Adherence to these communication guidelines will help expedite the translation of HRV research into a potential psychiatric biomarker by improving interpretation, reproducibility and future meta-analyses.

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“…There was a 20 second gap between each vignette and we do not report children’s responses to the Happy Infant vignette (only 2 children showed any sadness and 6 showed any interest-worry). For a more detailed description of the full emotion elicitation procedure, see Heathers, Fink, Kuhnert, and de Rosnay [ 39 ]. All vignettes had a positive resolution.…”

Section: Studymentioning

confidence: 99%

“…Using a BVP collection method for heart rate has compared favourably with more traditional ECG methods [ 39 , 42 ]. As such, the BVP curve was devolved into PP (pulse-to-pulse) intervals using custom software in LabView 9.0 [ 40 ], which were used to derive heart rate period (HRP).…”

Section: Studymentioning

confidence: 99%

Young Children’s Affective Responses to Another’s Distress: Dynamic and Physiological Features

2015

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Two descriptive studies set out a new approach for exploring the dynamic features of children’s affective responses (sadness and interest-worry) to another’s distress. In two samples (N study1 = 75; N study2 = 114), Kindergarten children were shown a video-vignette depicting another child in distress and the temporal pattern of spontaneous expressions were examined across the unfolding vignette. Results showed, in both study 1 and 2, that sadness and interest-worry had distinct patterns of elicitation across the events of the vignette narrative and there was little co-occurrence of these affects within a given child. Temporal heart rate changes (study 2) were closely aligned to the events of the vignette and, furthermore, affective responses corresponded to distinctive physiological response profiles. The implications of distinct temporal patterns of elicitation for the meaning of sadness and interest-worry are discussed within the framework of emotion regulation and empathy.

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Blood volume pulse (BVP) derived vagal tone (VT) between 5 and 7 years of age: A methodological investigation of measurement and longitudinal stability

Cited by 8 publications

References 71 publications

Self-Compassion and Psycho-Physiological Recovery From Recalled Sport Failure

Self-Compassion and Psycho-Physiological Recovery From Recalled Sport Failure

Guidelines for Reporting Articles on Psychiatry and Heart rate variability (GRAPH): recommendations to advance research communication

Young Children’s Affective Responses to Another’s Distress: Dynamic and Physiological Features

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