Literature DB >> 32341842

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

David James Davies1,2,3,4, Kamal Makram Yakoub1,2,3,4, Zhangjie Su1,3, Michael Clancy5, Mario Forcione3, Samuel John Edwin Lucas6, Hamid Dehghani5, Antonio Belli1,2,3.   

Abstract

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

Entities:  

Year:  2020        PMID: 32341842      PMCID: PMC7173884          DOI: 10.1364/BOE.11.001712

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  18 in total

1.  BOLD MRI vs. NIR spectrophotometry. Will the best technique come forward?

Authors:  J F Dunn; Y Zaim-Wadghiri; B W Pogue; I Kida
Journal:  Adv Exp Med Biol       Date:  1998       Impact factor: 2.622

2.  Deep and surface hemodynamic signal from functional time resolved transcranial near infrared spectroscopy compared to skin flowmotion.

Authors:  Federico Aletti; Rebecca Re; Vincenzo Pace; Davide Contini; Erika Molteni; Sergio Cerutti; Anna Maria Bianchi; Alessandro Torricelli; Lorenzo Spinelli; Rinaldo Cubeddu; Giuseppe Baselli
Journal:  Comput Biol Med       Date:  2011-07-13       Impact factor: 4.589

3.  Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields.

Authors:  S Ogawa; T M Lee; A S Nayak; P Glynn
Journal:  Magn Reson Med       Date:  1990-04       Impact factor: 4.668

4.  Effect of valsalva maneuver-induced hemodynamic changes on brain near-infrared spectroscopy measurements.

Authors:  Atsuhiro Tsubaki; Sho Kojima; Adriane Akemi Furusawa; Hideaki Onishi
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

Review 5.  Near-Infrared Spectroscopy in the Monitoring of Adult Traumatic Brain Injury: A Review.

Authors:  David J Davies; Zhangjie Su; Michael T Clancy; Samuel J E Lucas; Hamid Dehghani; Ann Logan; Antonio Belli
Journal:  J Neurotrauma       Date:  2015-04-17       Impact factor: 5.269

6.  Assessment of infant brain development with frequency-domain near-infrared spectroscopy.

Authors:  Maria Angela Franceschini; Sonal Thaker; George Themelis; Kalpathy K Krishnamoorthy; Heather Bortfeld; Solomon G Diamond; David A Boas; Kara Arvin; P Ellen Grant
Journal:  Pediatr Res       Date:  2007-05       Impact factor: 3.756

7.  Frequency-domain vs continuous-wave near-infrared spectroscopy devices: a comparison of clinically viable monitors in controlled hypoxia.

Authors:  David James Davies; Michael Clancy; Daniel Lighter; George M Balanos; Samuel John Edwin Lucas; Hamid Dehghani; Zhangjie Su; Mario Forcione; Antonio Belli
Journal:  J Clin Monit Comput       Date:  2016-10-24       Impact factor: 2.502

8.  Cerebral vasomotor reactivity: steady-state versus transient changes in carbon dioxide tension.

Authors:  R Matthew Brothers; Rebekah A I Lucas; Yong-Sheng Zhu; Craig G Crandall; Rong Zhang
Journal:  Exp Physiol       Date:  2014-08-28       Impact factor: 2.969

9.  Cerebral hemodynamics during graded Valsalva maneuvers.

Authors:  Blake G Perry; James D Cotter; Gaizka Mejuto; Toby Mündel; Samuel J E Lucas
Journal:  Front Physiol       Date:  2014-09-15       Impact factor: 4.566

10.  Noninvasive continuous optical monitoring of absolute cerebral blood flow in critically ill adults.

Authors:  Lian He; Wesley B Baker; Daniel Milej; Venkaiah C Kavuri; Rickson C Mesquita; David R Busch; Kenneth Abramson; Jane Y Jiang; Mamadou Diop; Keith St Lawrence; Olivia Amendolia; Francis Quattrone; Ramani Balu; W Andrew Kofke; Arjun G Yodh
Journal:  Neurophotonics       Date:  2018-11-23       Impact factor: 3.593

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