What is the clinical evidence from this study?

Study design: Cross-Sectional. Population: Internet addiction (n=100). Intervention: Heart rate variability biofeedback (HRV BF) vs. Baseline and between different Internet addiction risk groups. Primary outcome: Electroencephalogram (EEG) and HRV parameters.

What does this research mean for the field?

Heart rate variability biofeedback increases alpha and beta1 EEG activity in adolescents with minimal or pronounced Internet addiction risk, whereas those with a stable addiction pattern exhibit the least neurophysiologic reactivity. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

February 27, 2022Open Access

Neurophysiologic Reactions during Heart Rate Variability Biofeedback Session in Adolescents with Different Risk of Internet Addiction

Key Result

Heart rate variability biofeedback increased alpha and beta1 EEG activity in adolescents with minimal or pronounced Internet addiction risk, while those with stable addiction showed least reactivity.

Study Design

Type

Cross-Sectional (n=100)

Structured PICO

Does a short-term heart rate variability biofeedback session alter EEG and HRV parameters in adolescents with varying risks of Internet addiction?

Population

100 healthy adolescents aged 16–17 years with minimal risk of Internet addiction (IA) (35%), pronounced risk of IA (51%), and stable pattern of IA (14%) based on the Chen Internet Addiction Scale.

Intervention

Short-term heart rate variability biofeedback (HRV BF) session (5 min) aimed at increasing total power of the HRV spectrum.

Comparator

Baseline measurements (5 min) prior to the biofeedback session.

Outcome

Changes in electroencephalogram (EEG) parameters (alpha and beta1 activity) and HRV parameters (total power, sympathetic activity) during the biofeedback session.surrogate

Adolescents with a stable pattern of Internet addiction exhibit blunted neurophysiologic reactivity during heart rate variability biofeedback compared to those with lower addiction risks.

Abstract

The aim of this study was to determine electroencephalogram (EEG) in a session of heart rate variability biofeedback (HRV BF) in adolescents with different Internet addiction (IA) risks. In total, 100 healthy adolescents aged 16–17 years with minimal risk of IA (Group I, 35%), pronounced risk of IA (Group II, 51%), and stable pattern of IA (Group III, 14%) using the Chen Internet Addiction Scale were examined. HRV and EEG parameters were determined at baseline (5 min), and then during the short-term HRV BF session (5 min), in order to increase the total power (TP, ms2) of the HRV spectrum. Against the background of an increase in the TP and a decrease in sympathetic activity, an increase in alpha EEG was revealed, especially in Groups I and II. The greatest increase in the power of beta1-activity of EEG in the frontal, central, and temporal brain regionswas found in Groups I and II. In adolescents with a pronounced risk of IA, HRV BF is accompanied by a severe activation of the brain systems, while in persons with a stable type of IA, the least brain reactivity is shown, especially in the beta1 EEG band.

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