Association Between Cognitive Function and the Autonomic Nervous System by Photoplethysmography

This study explored the relationship between cognitive function and the autonomic nervous system by categorizing participants into two groups based on their cognitive function scores in each domain of the SNSB-D: a High Cognitive Performance (HCP) group and a Low Cognitive Performance (LCP) group. W...

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Main Authors: Jaewook Jin, Kahye Kim, KunHo Lee, Jeong-Woo Seo, Jaeuk U. Kim
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Bioengineering
Subjects:
Online Access:https://www.mdpi.com/2306-5354/11/11/1099
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author Jaewook Jin
Kahye Kim
KunHo Lee
Jeong-Woo Seo
Jaeuk U. Kim
author_facet Jaewook Jin
Kahye Kim
KunHo Lee
Jeong-Woo Seo
Jaeuk U. Kim
author_sort Jaewook Jin
collection DOAJ
description This study explored the relationship between cognitive function and the autonomic nervous system by categorizing participants into two groups based on their cognitive function scores in each domain of the SNSB-D: a High Cognitive Performance (HCP) group and a Low Cognitive Performance (LCP) group. We analyzed the Pulse Rate Variability (PRV) parameters for each group. Photoplethysmography (PPG) data were collected and processed to remove noise, and the PRV parameters in the time and frequency domains were extracted. To minimize the impact of age and years of education on the PRV parameters, we performed an adjusted analysis using a Generalized Linear Model (GLM). The analysis revealed that the autonomic nervous system, particularly the parasympathetic nervous system, was more activated in the LCP group compared to the HCP group. This finding suggests that in individuals with low cognitive function, the sympathetic nerves in the autonomic nervous system are less activated, so the parasympathetic nerves are relatively more activated. This study investigated the correlation between cognitive function and PRV parameters, highlighting the potential use of these parameters as indicators for the early diagnosis and classification of cognitive decline.
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spelling doaj-art-8fdb785873a24031bbf0b00d9fd68fce2025-08-20T02:28:01ZengMDPI AGBioengineering2306-53542024-11-011111109910.3390/bioengineering11111099Association Between Cognitive Function and the Autonomic Nervous System by PhotoplethysmographyJaewook Jin0Kahye Kim1KunHo Lee2Jeong-Woo Seo3Jaeuk U. Kim4Digital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34504, Republic of KoreaDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34504, Republic of KoreaGwangju Alzheimer’s Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju 61452, Republic of KoreaDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34504, Republic of KoreaDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon 34504, Republic of KoreaThis study explored the relationship between cognitive function and the autonomic nervous system by categorizing participants into two groups based on their cognitive function scores in each domain of the SNSB-D: a High Cognitive Performance (HCP) group and a Low Cognitive Performance (LCP) group. We analyzed the Pulse Rate Variability (PRV) parameters for each group. Photoplethysmography (PPG) data were collected and processed to remove noise, and the PRV parameters in the time and frequency domains were extracted. To minimize the impact of age and years of education on the PRV parameters, we performed an adjusted analysis using a Generalized Linear Model (GLM). The analysis revealed that the autonomic nervous system, particularly the parasympathetic nervous system, was more activated in the LCP group compared to the HCP group. This finding suggests that in individuals with low cognitive function, the sympathetic nerves in the autonomic nervous system are less activated, so the parasympathetic nerves are relatively more activated. This study investigated the correlation between cognitive function and PRV parameters, highlighting the potential use of these parameters as indicators for the early diagnosis and classification of cognitive decline.https://www.mdpi.com/2306-5354/11/11/1099photoplethysmographypulse rate variabilitySeoul neuropsychological screening batterycognitive functionautonomic nervous system
spellingShingle Jaewook Jin
Kahye Kim
KunHo Lee
Jeong-Woo Seo
Jaeuk U. Kim
Association Between Cognitive Function and the Autonomic Nervous System by Photoplethysmography
Bioengineering
photoplethysmography
pulse rate variability
Seoul neuropsychological screening battery
cognitive function
autonomic nervous system
title Association Between Cognitive Function and the Autonomic Nervous System by Photoplethysmography
title_full Association Between Cognitive Function and the Autonomic Nervous System by Photoplethysmography
title_fullStr Association Between Cognitive Function and the Autonomic Nervous System by Photoplethysmography
title_full_unstemmed Association Between Cognitive Function and the Autonomic Nervous System by Photoplethysmography
title_short Association Between Cognitive Function and the Autonomic Nervous System by Photoplethysmography
title_sort association between cognitive function and the autonomic nervous system by photoplethysmography
topic photoplethysmography
pulse rate variability
Seoul neuropsychological screening battery
cognitive function
autonomic nervous system
url https://www.mdpi.com/2306-5354/11/11/1099
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