Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study

Background: Intracranial photoplethysmography (PPG) signals can be measured from extracranial sites using wearable sensors and may enable long-term non-invasive monitoring of intracranial pressure (ICP). However, it is still unknown if ICP changes can lead to waveform changes in intracranial PPG sig...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Haipeng, Pan, Fan, Lei, Xinyue, Hui, Jiyuan, Gong, Ru, Feng, Junfeng, Zheng, Dingchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060556/
https://www.ncbi.nlm.nih.gov/pubmed/37007991
http://dx.doi.org/10.3389/fphys.2023.1085871
_version_ 1785017120029933568
author Liu, Haipeng
Pan, Fan
Lei, Xinyue
Hui, Jiyuan
Gong, Ru
Feng, Junfeng
Zheng, Dingchang
author_facet Liu, Haipeng
Pan, Fan
Lei, Xinyue
Hui, Jiyuan
Gong, Ru
Feng, Junfeng
Zheng, Dingchang
author_sort Liu, Haipeng
collection PubMed
description Background: Intracranial photoplethysmography (PPG) signals can be measured from extracranial sites using wearable sensors and may enable long-term non-invasive monitoring of intracranial pressure (ICP). However, it is still unknown if ICP changes can lead to waveform changes in intracranial PPG signals. Aim: To investigate the effect of ICP changes on the waveform of intracranial PPG signals of different cerebral perfusion territories. Methods: Based on lump-parameter Windkessel models, we developed a computational model consisting three interactive parts: cardiocerebral artery network, ICP model, and PPG model. We simulated ICP and PPG signals of three perfusion territories [anterior, middle, and posterior cerebral arteries (ACA, MCA, and PCA), all left side] in three ages (20, 40, and 60 years) and four intracranial capacitance conditions (normal, 20% decrease, 50% decrease, and 75% decrease). We calculated following PPG waveform features: maximum, minimum, mean, amplitude, min-to-max time, pulsatility index (PI), resistive index (RI), and max-to-mean ratio (MMR). Results: The simulated mean ICPs in normal condition were in the normal range (8.87–11.35 mm Hg), with larger PPG fluctuations in older subject and ACA/PCA territories. When intracranial capacitance decreased, the mean ICP increased above normal threshold (>20 mm Hg), with significant decreases in maximum, minimum, and mean; a minor decrease in amplitude; and no consistent change in min-to-max time, PI, RI, or MMR (maximal relative difference less than 2%) for PPG signals of all perfusion territories. There were significant effects of age and territory on all waveform features except age on mean. Conclusion: ICP values could significantly change the value-relevant (maximum, minimum, and amplitude) waveform features of PPG signals measured from different cerebral perfusion territories, with negligible effect on shape-relevant features (min-to-max time, PI, RI, and MMR). Age and measurement site could also significantly influence intracranial PPG waveform.
format Online
Article
Text
id pubmed-10060556
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-100605562023-03-31 Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study Liu, Haipeng Pan, Fan Lei, Xinyue Hui, Jiyuan Gong, Ru Feng, Junfeng Zheng, Dingchang Front Physiol Physiology Background: Intracranial photoplethysmography (PPG) signals can be measured from extracranial sites using wearable sensors and may enable long-term non-invasive monitoring of intracranial pressure (ICP). However, it is still unknown if ICP changes can lead to waveform changes in intracranial PPG signals. Aim: To investigate the effect of ICP changes on the waveform of intracranial PPG signals of different cerebral perfusion territories. Methods: Based on lump-parameter Windkessel models, we developed a computational model consisting three interactive parts: cardiocerebral artery network, ICP model, and PPG model. We simulated ICP and PPG signals of three perfusion territories [anterior, middle, and posterior cerebral arteries (ACA, MCA, and PCA), all left side] in three ages (20, 40, and 60 years) and four intracranial capacitance conditions (normal, 20% decrease, 50% decrease, and 75% decrease). We calculated following PPG waveform features: maximum, minimum, mean, amplitude, min-to-max time, pulsatility index (PI), resistive index (RI), and max-to-mean ratio (MMR). Results: The simulated mean ICPs in normal condition were in the normal range (8.87–11.35 mm Hg), with larger PPG fluctuations in older subject and ACA/PCA territories. When intracranial capacitance decreased, the mean ICP increased above normal threshold (>20 mm Hg), with significant decreases in maximum, minimum, and mean; a minor decrease in amplitude; and no consistent change in min-to-max time, PI, RI, or MMR (maximal relative difference less than 2%) for PPG signals of all perfusion territories. There were significant effects of age and territory on all waveform features except age on mean. Conclusion: ICP values could significantly change the value-relevant (maximum, minimum, and amplitude) waveform features of PPG signals measured from different cerebral perfusion territories, with negligible effect on shape-relevant features (min-to-max time, PI, RI, and MMR). Age and measurement site could also significantly influence intracranial PPG waveform. Frontiers Media S.A. 2023-03-16 /pmc/articles/PMC10060556/ /pubmed/37007991 http://dx.doi.org/10.3389/fphys.2023.1085871 Text en Copyright © 2023 Liu, Pan, Lei, Hui, Gong, Feng and Zheng. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Liu, Haipeng
Pan, Fan
Lei, Xinyue
Hui, Jiyuan
Gong, Ru
Feng, Junfeng
Zheng, Dingchang
Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study
title Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study
title_full Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study
title_fullStr Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study
title_full_unstemmed Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study
title_short Effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: A computational study
title_sort effect of intracranial pressure on photoplethysmographic waveform in different cerebral perfusion territories: a computational study
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10060556/
https://www.ncbi.nlm.nih.gov/pubmed/37007991
http://dx.doi.org/10.3389/fphys.2023.1085871
work_keys_str_mv AT liuhaipeng effectofintracranialpressureonphotoplethysmographicwaveformindifferentcerebralperfusionterritoriesacomputationalstudy
AT panfan effectofintracranialpressureonphotoplethysmographicwaveformindifferentcerebralperfusionterritoriesacomputationalstudy
AT leixinyue effectofintracranialpressureonphotoplethysmographicwaveformindifferentcerebralperfusionterritoriesacomputationalstudy
AT huijiyuan effectofintracranialpressureonphotoplethysmographicwaveformindifferentcerebralperfusionterritoriesacomputationalstudy
AT gongru effectofintracranialpressureonphotoplethysmographicwaveformindifferentcerebralperfusionterritoriesacomputationalstudy
AT fengjunfeng effectofintracranialpressureonphotoplethysmographicwaveformindifferentcerebralperfusionterritoriesacomputationalstudy
AT zhengdingchang effectofintracranialpressureonphotoplethysmographicwaveformindifferentcerebralperfusionterritoriesacomputationalstudy