Key result
Functional near-infrared spectroscopy-derived pulse rate variability metrics showed good correlations with ECG-derived heart rate variability standards during online video game playing.
Why the study?
fNIRS data can potentially offer a single-modality approach to synchronously measure task-induced brain and autonomic nervous system responses, but this required evaluation.
Observational (n=20)
fNIRS can feasibly monitor concurrent brain and autonomic nervous system activations during video game playing by extracting both neural and heartbeat frequency bands.
Answers are grounded in this paper and cite their sources.
fNIRS may enable concurrent prefrontal-ANS monitoring in naturalistic tasks; leaves open clinical utility pending validation studies.
Interactions between the central nervous system (CNS) and autonomic nervous system (ANS) play a crucial role in modulating perception, cognition, and emotion production. Previous studies on CNS–ANS interactions, or heart–brain coupling, have often used heart rate variability (HRV) metrics derived from electrocardiography (ECG) recordings as empirical measurements of sympathetic and parasympathetic activities. Functional near-infrared spectroscopy (fNIRS) is a functional brain imaging modality that is increasingly used in brain and cognition studies. The fNIRS signals contain frequency bands representing both neural activity oscillations and heartbeat rhythms. Therefore, fNIRS data acquired in neuroimaging studies can potentially provide a single-modality approach to measure task-induced responses in the brain and ANS synchronously, allowing analysis of CNS–ANS interactions. In this proof-of-concept study, fNIRS was used to record hemodynamic changes from the foreheads of 20 university students as they each played a round of multiplayer online battle arena (MOBA) game. From the fNIRS recordings, neural and heartbeat frequency bands were extracted to assess prefrontal activities and short-term pulse rate variability (PRV), an approximation for short-term HRV, respectively. Under the experimental conditions used, fNIRS-derived PRV metrics showed good correlations with ECG-derived HRV golden standards, in terms of absolute measurements and video game playing (VGP)-related changes. It was also observed that, similar to previous studies on physical activity and exercise, the PRV metrics closely related to parasympathetic activities recovered slower than the PRV indicators of sympathetic activities after VGP. It is concluded that it is feasible to use fNIRS to monitor concurrent brain and ANS activations during online VGP, facilitating the understanding of VGP-related heart–brain coupling.
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Zhang et al. (2023) reported an observational. Multiplayer online battle arena (MOBA) game playing was evaluated on Correlation between fNIRS-derived PRV metrics and ECG-derived HRV golden standards. Functional near-infrared spectroscopy-derived pulse rate variability metrics showed good correlations with ECG-derived heart rate variability standards during online video game playing.
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