Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopy
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 fr...
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World Scientific Publishing
2023-11-01
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Series: | Journal of Innovative Optical Health Sciences |
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Online Access: | https://www.worldscientific.com/doi/10.1142/S1793545823400059 |
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author | Xuzhe Zhang Kehong Long Ningxin Wang Jin Zhang Hao Lei |
author_facet | Xuzhe Zhang Kehong Long Ningxin Wang Jin Zhang Hao Lei |
author_sort | Xuzhe Zhang |
collection | DOAJ |
description | 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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last_indexed | 2024-03-09T14:30:16Z |
publishDate | 2023-11-01 |
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series | Journal of Innovative Optical Health Sciences |
spelling | doaj.art-f19b417362b0497d99230ec1562d0afc2023-11-28T03:24:33ZengWorld Scientific PublishingJournal of Innovative Optical Health Sciences1793-54581793-72052023-11-01160610.1142/S1793545823400059Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopyXuzhe Zhang0Kehong Long1Ningxin Wang2Jin Zhang3Hao Lei4State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. ChinaState Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. ChinaState Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. ChinaState Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. ChinaState Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei, P. R. ChinaInteractions 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.https://www.worldscientific.com/doi/10.1142/S1793545823400059Heart rate variabilitypulse rate variabilityfunctional near-infrared spectroscopyvideo gameprefrontal cortexheart–brain coupling |
spellingShingle | Xuzhe Zhang Kehong Long Ningxin Wang Jin Zhang Hao Lei Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopy Journal of Innovative Optical Health Sciences Heart rate variability pulse rate variability functional near-infrared spectroscopy video game prefrontal cortex heart–brain coupling |
title | Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopy |
title_full | Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopy |
title_fullStr | Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopy |
title_full_unstemmed | Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopy |
title_short | Synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near-infrared spectroscopy |
title_sort | synchronous measurements of prefrontal activity and pulse rate variability during online video game playing with functional near infrared spectroscopy |
topic | Heart rate variability pulse rate variability functional near-infrared spectroscopy video game prefrontal cortex heart–brain coupling |
url | https://www.worldscientific.com/doi/10.1142/S1793545823400059 |
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