A Heart Rate Variability (HRV) Biofeedback Training in Functional Gastrointestinal Disorders (FGID)
NCT ID: NCT06687057
Last Updated: 2025-08-24
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
NA
40 participants
INTERVENTIONAL
2024-12-01
2026-01-31
Brief Summary
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The project involves online screening to recruit participants, who will then be randomized to receive either the true HRV biofeedback treatment or a placebo condition. Pre- and post-treatment assessments include psychological questionnaires, physiological recordings, and a three-month follow-up. The treatment is expected to improve HRV, thereby reducing anxiety and gastrointestinal symptoms.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
SINGLE
Study Groups
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Biofeedback
The actual administration of the HRV-Biofeedback protocol: 5 HRV biofeedback training sessions of 45 minutes each, conducted biweekly.
HRV Biofeedback Training
The intervention involves 5 training sessions lasting 45 minutes (specifically, 5-minute baseline and 5 HRV biofeedback trials lasting 5 minutes each) according to the protocol published by Lehrer et al. (2013). Physiological signals (ECG and respiratory rate) will be recorded during all sessions. During the training, participants will see on the screen a graph representing heart rate superimposed on a graph representing abdominal breathing. They will be asked to synchronize the two signals so that the changes in heart rate are in phase with the respiratory cycle in order to maximize the difference between the maximum and minimum heart rate within each respiratory cycle \[i.e., respiratory sinus arrhythmia (RSA), an index of vagal modulation on the heart\] (Lehrer et al., 2003; Lehrer et al., 2000).
Placebo
Placebo condition: 5 control sessions of 45 minutes each, conducted biweekly.
Placebo Training
The Placebo procedure requires participants to attend 5 sessions lasting 45 minutes during which they perform a task. Physiological signals (ECG and respiration rate) will be recorded during all sessions. Participants will see on the screen a graph representing heart rate superimposed on a graph representing abdominal breathing but these will not directly reflect the subject's cardiorespiratory activity. Participants in the control group will be asked to synchronize the two signals so that the changes in heart rate are in phase with the respiratory cycle, but the feedback on the screen will not reflect that subject's RSA changes.
Interventions
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HRV Biofeedback Training
The intervention involves 5 training sessions lasting 45 minutes (specifically, 5-minute baseline and 5 HRV biofeedback trials lasting 5 minutes each) according to the protocol published by Lehrer et al. (2013). Physiological signals (ECG and respiratory rate) will be recorded during all sessions. During the training, participants will see on the screen a graph representing heart rate superimposed on a graph representing abdominal breathing. They will be asked to synchronize the two signals so that the changes in heart rate are in phase with the respiratory cycle in order to maximize the difference between the maximum and minimum heart rate within each respiratory cycle \[i.e., respiratory sinus arrhythmia (RSA), an index of vagal modulation on the heart\] (Lehrer et al., 2003; Lehrer et al., 2000).
Placebo Training
The Placebo procedure requires participants to attend 5 sessions lasting 45 minutes during which they perform a task. Physiological signals (ECG and respiration rate) will be recorded during all sessions. Participants will see on the screen a graph representing heart rate superimposed on a graph representing abdominal breathing but these will not directly reflect the subject's cardiorespiratory activity. Participants in the control group will be asked to synchronize the two signals so that the changes in heart rate are in phase with the respiratory cycle, but the feedback on the screen will not reflect that subject's RSA changes.
Eligibility Criteria
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Inclusion Criteria
* presence of symptoms related to Functional Gastrointestinal Disorders (in English, known as Functional Gastrointestinal Disorders (FGIDs)) (IBS-SSS \> 75);
* obtaining informed consent to participate in the study;
* Absence of organic gastrointestinal diseases: thus, they will be excluded if with a current or previous diagnosis of intestinal disease (e.g., ulcerative colitis);
* absence of clinical conditions including neurological disorders (previous head trauma, degenerative neurological disorders, stroke, etc.) and cardiovascular disorders (hypertension, cardiac arrhythmias, etc.).
Exclusion Criteria
* absence of symptoms related to Functional Gastrointestinal Disorders (in English, known as Functional Gastrointestinal Disorders (FGIDs)) (IBS-SSS \< 75);
* lack of obtaining Informed Consent to participate in the study;
* presence of organic gastrointestinal diseases: therefore, they will be excluded if with a current or previous diagnosis of intestinal disease (e.g., ulcerative colitis).
* presence of clinical conditions including neurological disorders (previous head trauma, degenerative neurological disorders, stroke, etc.) and cardiovascular disorders (hypertension, cardiac arrhythmias, etc.).
18 Years
ALL
Yes
Sponsors
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University of Padova
OTHER
Catholic University of the Sacred Heart
OTHER
Fondazione Don Carlo Gnocchi Onlus
OTHER
Responsible Party
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Eleonora Volpato
Principal Investigator
Locations
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Eleonora Volpato
Milan, , Italy
Countries
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Central Contacts
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Facility Contacts
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References
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Lehrer PM, Vaschillo E, Vaschillo B, Lu SE, Eckberg DL, Edelberg R, Shih WJ, Lin Y, Kuusela TA, Tahvanainen KU, Hamer RM. Heart rate variability biofeedback increases baroreflex gain and peak expiratory flow. Psychosom Med. 2003 Sep-Oct;65(5):796-805. doi: 10.1097/01.psy.0000089200.81962.19.
Mather M, Thayer J. How heart rate variability affects emotion regulation brain networks. Curr Opin Behav Sci. 2018 Feb;19:98-104. doi: 10.1016/j.cobeha.2017.12.017.
Goessl VC, Curtiss JE, Hofmann SG. The effect of heart rate variability biofeedback training on stress and anxiety: a meta-analysis. Psychol Med. 2017 Nov;47(15):2578-2586. doi: 10.1017/S0033291717001003. Epub 2017 May 8.
Other Identifiers
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UCSC_123_24
Identifier Type: -
Identifier Source: org_study_id
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