Literature DB >> 23859925

Simultaneous quantitative assessment of cerebral physiology using respiratory-calibrated MRI and near-infrared spectroscopy in healthy adults.

T Alderliesten1, J B De Vis, P M A Lemmers, F van Bel, M J N L Benders, J Hendrikse, E T Petersen.   

Abstract

BACKGROUND: Functional near-infrared spectroscopy (fNIRS) and functional MRI (fMRI) are non-invasive techniques used to relate activity in different brain regions to certain tasks. Respiratory calibration of the blood oxygen level dependent (BOLD) signal, and combined fNIRS-fMRI approaches have been used to quantify physiological subcomponents giving rise to the BOLD signal. A comparison of absolute oxygen metabolism parameters between MRI and NIRS, using spatially resolved (SRS) NIRS and respiratory calibrated MRI, could yield additional insight in the physiology underlying activation.
MATERIALS AND METHODS: Changes in the BOLD signal, cerebral blood flow (CBF), and oxygen saturation (SO2) were derived from a single MRI sequence during a respiratory challenge in healthy volunteers. These changes were compared to SO2 obtained by a single probe SRS NIRS setup. In addition, concentration changes in oxygenated (O2Hb), deoxygenated (HHb), and total haemoglobin (tHb), obtained by NIRS, were compared to the parameters obtained by MRI.
RESULTS: NIRS SO2 correlated with end-tidal CO2 (0.83, p<0.0001), the BOLD signal (0.82, p<0.0001), CBF (0.85, p<0.0001), and also MRI SO2 (0.82, p<0.0001). The BOLD signal correlated with NIRS HHb (-0.76, p<0.0001), O2Hb (0.41, p=0.001), and tHb (r=0.32, p=0.01).
CONCLUSIONS: Good correlations show that changes in cerebral physiology, following a respiratory challenge, go hand in hand with changes in the BOLD signal, CBF, O2Hb, HHb, NIRS SO2, and MRI SO2. Out of all NIRS derived parameters, the SO2 showed the best correlation with the BOLD signal.
© 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ASL; Adult; Brain; Near-Infrared Spectroscopy; Respiratory-calibrated MRI; fMRI; fNIRS

Mesh:

Year:  2013        PMID: 23859925     DOI: 10.1016/j.neuroimage.2013.07.015

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  19 in total

1.  Relationship Between Age and Cerebral Hemodynamic Response to Breath Holding: A Functional Near-Infrared Spectroscopy Study.

Authors:  Keerthana Deepti Karunakaran; Katherine Ji; Donna Y Chen; Nancy D Chiaravalloti; Haijing Niu; Tara L Alvarez; Bharat B Biswal
Journal:  Brain Topogr       Date:  2021-02-05       Impact factor: 3.020

2.  Vascular coupling in resting-state fMRI: evidence from multiple modalities.

Authors:  David C Zhu; Takashi Tarumi; Muhammad Ayaz Khan; Rong Zhang
Journal:  J Cereb Blood Flow Metab       Date:  2015-07-15       Impact factor: 6.200

3.  The role of vascular resistance in BOLD responses to progressive hypercapnia.

Authors:  James Duffin; Olivia Sobczyk; Adrian Crawley; Julien Poublanc; Lashmi Venkatraghavan; Kevin Sam; Alan Mutch; David Mikulis; Joseph Fisher
Journal:  Hum Brain Mapp       Date:  2017-08-07       Impact factor: 5.038

4.  Brain oxygen saturation assessment in neonates using T2-prepared blood imaging of oxygen saturation and near-infrared spectroscopy.

Authors:  Thomas Alderliesten; Jill B De Vis; Petra Ma Lemmers; Jeroen Hendrikse; Floris Groenendaal; Frank van Bel; Manon Jnl Benders; Esben T Petersen
Journal:  J Cereb Blood Flow Metab       Date:  2016-07-20       Impact factor: 6.200

5.  Sensitivity of near-infrared spectroscopy and diffuse correlation spectroscopy to brain hemodynamics: simulations and experimental findings during hypercapnia.

Authors:  Juliette Selb; David A Boas; Suk-Tak Chan; Karleyton C Evans; Erin M Buckley; Stefan A Carp
Journal:  Neurophotonics       Date:  2014-07       Impact factor: 3.593

6.  A mesenteric traction syndrome affects near-infrared spectroscopy evaluated cerebral oxygenation because skin blood flow increases.

Authors:  Niels D Olesen; Henrik Sørensen; Rikard Ambrus; Lars B Svendsen; Anton Lund; Niels H Secher
Journal:  J Clin Monit Comput       Date:  2017-03-14       Impact factor: 2.502

7.  Measuring cerebrovascular reactivity: the dynamic response to a step hypercapnic stimulus.

Authors:  Julien Poublanc; Adrian P Crawley; Olivia Sobczyk; Gaspard Montandon; Kevin Sam; Daniel M Mandell; Paul Dufort; Lashmikumar Venkatraghavan; James Duffin; David J Mikulis; Joseph A Fisher
Journal:  J Cereb Blood Flow Metab       Date:  2015-07-01       Impact factor: 6.200

8.  Effect of Body Temperature on Cerebral Autoregulation in Acutely Comatose Neurocritically Ill Patients.

Authors:  Krishma Adatia; Romergryko G Geocadin; Ryan Healy; Wendy Ziai; Luciano Ponce-Mejia; Mirinda Anderson-White; Dhaval Shah; Batya R Radzik; Caitlin Palmisano; Charles W Hogue; Charles Brown; Lucia Rivera-Lara
Journal:  Crit Care Med       Date:  2018-08       Impact factor: 7.598

Review 9.  Measuring cerebrovascular reactivity: what stimulus to use?

Authors:  J Fierstra; O Sobczyk; A Battisti-Charbonney; D M Mandell; J Poublanc; A P Crawley; D J Mikulis; J Duffin; J A Fisher
Journal:  J Physiol       Date:  2013-09-30       Impact factor: 5.182

10.  Determining the Upper and Lower Limits of Cerebral Autoregulation With Cerebral Oximetry Autoregulation Curves: A Case Series.

Authors:  Lucia Rivera-Lara; Andres Zorrilla-Vaca; Ryan J Healy; Wendy Ziai; Charles Hogue; Romergryko Geocadin; Batya Radzik; Caitlin Palmisano; Marek A Mirski
Journal:  Crit Care Med       Date:  2018-05       Impact factor: 7.598

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