Evidence map›Paper›PMID 23572244›Full record

ReviewApplied psychophysiology and biofeedback2013

Dynamic processes in regulation and some implications for biofeedback and biobehavioral interventions.

Paul Lehrer, David Eddie

Abstract readReview
In one paragraph

Review in Applied psychophysiology and biofeedback, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Heart rate variability in unstably housed Veterans with mental health conditions.Journal of clinical and experimental neuropsychology · 2025
    Article
  8. Article
  9. Article
  10. Do Longer Exhalations Increase HRV During Slow-Paced Breathing?Applied psychophysiology and biofeedback · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. My Life in HRV Biofeedback Research.Applied psychophysiology and biofeedback · 2022
    Review
  16. Article
  17. Heart Rate Variability Biofeedback for Substance Use Disorder: Health Policy Implications.Policy insights from the behavioral and brain sciences · 2022
    Article
  18. Article
  19. Emotional Self-Regulation in Primary Education: A Heart Rate-Variability Biofeedback Intervention Programme.International journal of environmental research and public health · 2022
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Paul LehrerRutgers, The State University of New Jersey, New Brunswick, NJ, USA. lehrer@umdnj.edu
David Eddie

Funding

Heart Rate Variability Biofeedback: Its Role in Asthma TherapeuticsR01HL089495 · NHLBI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI LEHRER, PAUL M · 2010 to 2013
$2.9M
NHLBI NIH HHS 5R01HL089495-02NHLBI NIH HHS R01 HL089495
6 · The paper itself

Abstract

Systems theory has long been used in psychology, biology, and sociology. This paper applies newer methods of control systems modeling for assessing system stability in health and disease. Control systems can be characterized as open or closed systems with feedback loops. Feedback produces oscillatory activity, and the complexity of naturally occurring oscillatory patterns reflects the multiplicity of feedback mechanisms, such that many mechanisms operate simultaneously to control the system. Unstable systems, often associated with poor health, are characterized by absence of oscillation, random noise, or a very simple pattern of oscillation. This modeling approach can be applied to a diverse range of phenomena, including cardiovascular and brain activity, mood and thermal regulation, and social system stability. External system stressors such as disease, psychological stress, injury, or interpersonal conflict may perturb a system, yet simultaneously stimulate oscillatory processes and exercise control mechanisms. Resonance can occur in systems with negative feedback loops, causing high-amplitude oscillations at a single frequency. Resonance effects can be used to strengthen modulatory oscillations, but may obscure other information and control mechanisms, and weaken system stability. Positive as well as negative feedback loops are important for system function and stability. Examples are presented of oscillatory processes in heart rate variability, and regulation of autonomic, thermal, pancreatic and central nervous system processes, as well as in social/organizational systems such as marriages and business organizations. Resonance in negative feedback loops can help stimulate oscillations and exercise control reflexes, but also can deprive the system of important information. Empirical hypotheses derived from this approach are presented, including that moderate stress may enhance health and functioning.

Indexed as

Biofeedback, PsychologyAutonomic Nervous SystemHeart RateHumans

Identifiers

PMID23572244
PMCPMC3699855

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.