The Valsalva maneuver: an indispensable physiological tool to differentiate intra versus extracranial near-infrared signal.


Journal

Biomedical optics express
ISSN: 2156-7085
Titre abrégé: Biomed Opt Express
Pays: United States
ID NLM: 101540630

Informations de publication

Date de publication:
01 Apr 2020
Historique:
received: 03 09 2019
revised: 28 11 2019
accepted: 28 11 2019
entrez: 29 4 2020
pubmed: 29 4 2020
medline: 29 4 2020
Statut: epublish

Résumé

Developing near-infrared spectroscopy (NIRS) parameter recovery techniques to more specifically resolve brain physiology from that of the overlying tissue is an important part of improving the clinical utility of the technology. The Valsalva maneuver (VM) involves forced expiration against a closed glottis causing widespread venous congestion within the context of a fall in cardiac output. Due to the specific anatomical confines and metabolic demands of the brain we believe a properly executed VM has the ability to separate haemodynamic activity of brain tissue from that of the overlying scalp as observed by NIRS, and confirmed by functional magnetic resonance imaging (fMRI). Healthy individuals performed a series of standing maximum effort VMs under separate observation by frequency domain near-infrared spectroscopy (FD-NIRS) and fMRI. Nine individuals completed the clinical protocol (6 males, age 21-40). During the VMs, brain and extracranial tissue targeted signal were significantly different (opposite direction of change) in both fMRI and NIRS (p=0.00025 and 0.00115 respectively), with robust cross correlation of parameters between modalities. Four of these individuals performed further VMs after infiltrating 2% xylocaine/1:100,000 epinephrine (vasoconstrictor) into scalp tissue beneath the probes. No significant difference in the cerebrally derived parameters was observed. The maximum effort VM has the ability to separate NIRS observable physiology of the brain from the overlying extracranial tissue. Observations made by this FD cerebral NIRS device are comparable with fMRI in this context.

Identifiants

pubmed: 32341842
doi: 10.1364/BOE.11.001712
pii: 376281
pmc: PMC7173884
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1712-1724

Informations de copyright

© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement.

Déclaration de conflit d'intérêts

The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care.

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Auteurs

David James Davies (DJ)

National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre (NIHR SRMRC), University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Aging, University of Birmingham, Birmingham, UK.
Co-first authors with equal contribution.

Kamal Makram Yakoub (KM)

National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre (NIHR SRMRC), University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Aging, University of Birmingham, Birmingham, UK.
Co-first authors with equal contribution.

Zhangjie Su (Z)

National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre (NIHR SRMRC), University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Aging, University of Birmingham, Birmingham, UK.

Michael Clancy (M)

School of Computer Science, University of Birmingham, Birmingham, UK.

Mario Forcione (M)

Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Aging, University of Birmingham, Birmingham, UK.

Samuel John Edwin Lucas (SJE)

School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, UK.

Hamid Dehghani (H)

School of Computer Science, University of Birmingham, Birmingham, UK.

Antonio Belli (A)

National Institute for Health Research Surgical Reconstruction and Microbiology Research Centre (NIHR SRMRC), University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Department of Neurosurgery, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Neurotrauma and Ophthalmology Research Group, Institute of Inflammation and Aging, University of Birmingham, Birmingham, UK.

Classifications MeSH