Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional Arousal

Emotion influences the daily activity of human life. The complex interaction between the central nervous system (CNS) and peripheral nervous system (PNS) contributes to emotional experiences. Various studies have investigated this interaction during sleep, meditation, deception, and cognition. Howev...

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Main Authors: Banik Sourabh, Kumar Himanshu, Ganapathy Nagarajan, Swaminathan Ramakrishnan
Format: Article
Language:English
Published: De Gruyter 2024-12-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:https://doi.org/10.1515/cdbme-2024-2012
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author Banik Sourabh
Kumar Himanshu
Ganapathy Nagarajan
Swaminathan Ramakrishnan
author_facet Banik Sourabh
Kumar Himanshu
Ganapathy Nagarajan
Swaminathan Ramakrishnan
author_sort Banik Sourabh
collection DOAJ
description Emotion influences the daily activity of human life. The complex interaction between the central nervous system (CNS) and peripheral nervous system (PNS) contributes to emotional experiences. Various studies have investigated this interaction during sleep, meditation, deception, and cognition. However, research focusing exclusively on emotion-related interactions is limited. In this work an attempt has been made to assess the CNS and PNS interaction by analyzing Electroencephalogram (EEG) and Photoplethysmogram (PPG) signals during emotional arousal induced by audio-visual stimuli obtained from the DEAP database . EEG signals are divided into four frequency bands: theta (4-7 Hz), alpha (8-12 Hz), beta (13-30 Hz), and gamma (30-45 Hz). The envelope of EEG and PPG signals is then computed to determine cross-frequency coherence (CFC). TheWilcoxon Rank-sum test is employed to assess the statistical significance of CFC in low (LA) vs. higharousal( HA) for various electrodes. Results indicate that CFC can discriminate the LA vs HA. Higher CFC is found in HA compared to LA for the beta and gamma bands, while the opposite trend is observed in the theta and alpha bands. The FP1, FC1, and T7 are found to be statistically significant (p < 0.05) in differentiating LA with HA. Therefore, this study offers insights into CNS-PNS interaction during emotional arousal.
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series Current Directions in Biomedical Engineering
spelling doaj-art-28df6c0274ea4536862cee8165093d7b2025-01-02T05:56:32ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042024-12-01104495210.1515/cdbme-2024-2012Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional ArousalBanik Sourabh0Kumar Himanshu1Ganapathy Nagarajan2Swaminathan Ramakrishnan3Indian Institute of Technology Madras,Chennai, IndiaIndian Institute of Technology Madras,Chennai, IndiaIndian Institute of Technology Hyderabad,Hyderabad, IndiaIndian Institute of Technology Madras,Chennai, IndiaEmotion influences the daily activity of human life. The complex interaction between the central nervous system (CNS) and peripheral nervous system (PNS) contributes to emotional experiences. Various studies have investigated this interaction during sleep, meditation, deception, and cognition. However, research focusing exclusively on emotion-related interactions is limited. In this work an attempt has been made to assess the CNS and PNS interaction by analyzing Electroencephalogram (EEG) and Photoplethysmogram (PPG) signals during emotional arousal induced by audio-visual stimuli obtained from the DEAP database . EEG signals are divided into four frequency bands: theta (4-7 Hz), alpha (8-12 Hz), beta (13-30 Hz), and gamma (30-45 Hz). The envelope of EEG and PPG signals is then computed to determine cross-frequency coherence (CFC). TheWilcoxon Rank-sum test is employed to assess the statistical significance of CFC in low (LA) vs. higharousal( HA) for various electrodes. Results indicate that CFC can discriminate the LA vs HA. Higher CFC is found in HA compared to LA for the beta and gamma bands, while the opposite trend is observed in the theta and alpha bands. The FP1, FC1, and T7 are found to be statistically significant (p < 0.05) in differentiating LA with HA. Therefore, this study offers insights into CNS-PNS interaction during emotional arousal.https://doi.org/10.1515/cdbme-2024-2012eegppgcross frequency coherenceemotionarousal
spellingShingle Banik Sourabh
Kumar Himanshu
Ganapathy Nagarajan
Swaminathan Ramakrishnan
Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional Arousal
Current Directions in Biomedical Engineering
eeg
ppg
cross frequency coherence
emotion
arousal
title Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional Arousal
title_full Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional Arousal
title_fullStr Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional Arousal
title_full_unstemmed Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional Arousal
title_short Assessment of EEG-PPG Cross Frequency Coherence under Evoked Emotional Arousal
title_sort assessment of eeg ppg cross frequency coherence under evoked emotional arousal
topic eeg
ppg
cross frequency coherence
emotion
arousal
url https://doi.org/10.1515/cdbme-2024-2012
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AT kumarhimanshu assessmentofeegppgcrossfrequencycoherenceunderevokedemotionalarousal
AT ganapathynagarajan assessmentofeegppgcrossfrequencycoherenceunderevokedemotionalarousal
AT swaminathanramakrishnan assessmentofeegppgcrossfrequencycoherenceunderevokedemotionalarousal