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Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep

Sleep, a state of reduced consciousness, affects brain oxygen metabolism and lowers cerebral metabolic rate of oxygen (CMRO(2)). Previously, we quantified CMRO(2) during sleep via Fick’s Principle, with a single-band MRI sequence measuring both hemoglobin O(2) saturation (SvO(2)) and superior sagitt...

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Autores principales: Caporale, Alessandra S, Barclay, Alexander M, Xu, Jing, Rao, Hengyi, Lee, Hyunyeol, Langham, Michael C, Detre, John A, Wehrli, Felix W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369151/
https://www.ncbi.nlm.nih.gov/pubmed/36927172
http://dx.doi.org/10.1177/0271678X231164423
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author Caporale, Alessandra S
Barclay, Alexander M
Xu, Jing
Rao, Hengyi
Lee, Hyunyeol
Langham, Michael C
Detre, John A
Wehrli, Felix W
author_facet Caporale, Alessandra S
Barclay, Alexander M
Xu, Jing
Rao, Hengyi
Lee, Hyunyeol
Langham, Michael C
Detre, John A
Wehrli, Felix W
author_sort Caporale, Alessandra S
collection PubMed
description Sleep, a state of reduced consciousness, affects brain oxygen metabolism and lowers cerebral metabolic rate of oxygen (CMRO(2)). Previously, we quantified CMRO(2) during sleep via Fick’s Principle, with a single-band MRI sequence measuring both hemoglobin O(2) saturation (SvO(2)) and superior sagittal sinus (SSS) blood flow, which was upscaled to obtain total cerebral blood flow (tCBF). The procedure involves a brief initial calibration scan to determine the upscaling factor (f(c)), assumed state-invariant. Here, we used a dual-band sequence to simultaneously provide SvO(2) in SSS and tCBF in the neck every 16 seconds, allowing quantification of f(c) dynamically. Ten healthy subjects were scanned by MRI with simultaneous EEG for 80 minutes, yielding 300 temporal image frames per subject. Four volunteers achieved slow-wave sleep (SWS), as evidenced by increased δ-wave activity (per American Academy of Sleep Medicine criteria). SWS was maintained for 13.5 ± 7.0 minutes, with CMRO(2) 28.6 ± 5.5% lower than pre-sleep wakefulness. Importantly, there was negligible bias between tCBF obtained by upscaling SSS-blood flow, and tCBF measured directly in the inflowing arteries of the neck (intra-class correlation 0.95 ± 0.04, averaged across all subjects), showing that the single-band approach is a valid substitute for quantifying tCBF, simplifying image data collection and analysis without sacrificing accuracy.
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spelling pubmed-103691512023-07-27 Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep Caporale, Alessandra S Barclay, Alexander M Xu, Jing Rao, Hengyi Lee, Hyunyeol Langham, Michael C Detre, John A Wehrli, Felix W J Cereb Blood Flow Metab Original Articles Sleep, a state of reduced consciousness, affects brain oxygen metabolism and lowers cerebral metabolic rate of oxygen (CMRO(2)). Previously, we quantified CMRO(2) during sleep via Fick’s Principle, with a single-band MRI sequence measuring both hemoglobin O(2) saturation (SvO(2)) and superior sagittal sinus (SSS) blood flow, which was upscaled to obtain total cerebral blood flow (tCBF). The procedure involves a brief initial calibration scan to determine the upscaling factor (f(c)), assumed state-invariant. Here, we used a dual-band sequence to simultaneously provide SvO(2) in SSS and tCBF in the neck every 16 seconds, allowing quantification of f(c) dynamically. Ten healthy subjects were scanned by MRI with simultaneous EEG for 80 minutes, yielding 300 temporal image frames per subject. Four volunteers achieved slow-wave sleep (SWS), as evidenced by increased δ-wave activity (per American Academy of Sleep Medicine criteria). SWS was maintained for 13.5 ± 7.0 minutes, with CMRO(2) 28.6 ± 5.5% lower than pre-sleep wakefulness. Importantly, there was negligible bias between tCBF obtained by upscaling SSS-blood flow, and tCBF measured directly in the inflowing arteries of the neck (intra-class correlation 0.95 ± 0.04, averaged across all subjects), showing that the single-band approach is a valid substitute for quantifying tCBF, simplifying image data collection and analysis without sacrificing accuracy. SAGE Publications 2023-03-16 2023-08 /pmc/articles/PMC10369151/ /pubmed/36927172 http://dx.doi.org/10.1177/0271678X231164423 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Caporale, Alessandra S
Barclay, Alexander M
Xu, Jing
Rao, Hengyi
Lee, Hyunyeol
Langham, Michael C
Detre, John A
Wehrli, Felix W
Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep
title Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep
title_full Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep
title_fullStr Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep
title_full_unstemmed Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep
title_short Superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep
title_sort superior sagittal sinus flow as a proxy for tracking global cerebral blood flow dynamics during wakefulness and sleep
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10369151/
https://www.ncbi.nlm.nih.gov/pubmed/36927172
http://dx.doi.org/10.1177/0271678X231164423
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