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Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts

SIGNIFICANCE: Fluorescence resonance energy transfer (FRET) sensors offer enormous benefits when studying neurophysiology through confocal microscopy. Yet, their use for fiber-based in vivo recordings is hampered by massive confounding effects and has therefore been scarcely reported. AIM: We aim to...

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Autores principales: Lambers, Henriette, Wachsmuth, Lydia, Thomas, Dominik, Boumezbeur, Fawzi, Hoesker, Vanessa, Pradier, Bruno, Faber, Cornelius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084224/
https://www.ncbi.nlm.nih.gov/pubmed/35558647
http://dx.doi.org/10.1117/1.NPh.9.3.032212
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author Lambers, Henriette
Wachsmuth, Lydia
Thomas, Dominik
Boumezbeur, Fawzi
Hoesker, Vanessa
Pradier, Bruno
Faber, Cornelius
author_facet Lambers, Henriette
Wachsmuth, Lydia
Thomas, Dominik
Boumezbeur, Fawzi
Hoesker, Vanessa
Pradier, Bruno
Faber, Cornelius
author_sort Lambers, Henriette
collection PubMed
description SIGNIFICANCE: Fluorescence resonance energy transfer (FRET) sensors offer enormous benefits when studying neurophysiology through confocal microscopy. Yet, their use for fiber-based in vivo recordings is hampered by massive confounding effects and has therefore been scarcely reported. AIM: We aim to investigate whether in vivo fiber-based lactate recordings in the rodent brain are feasible with FRET sensors and implement a correction algorithm for the predominant hemodynamic artifact. APPROACH: We performed fiber-based FRET recordings of lactate (Laconic) and calcium (Twitch-2B) simultaneously with functional MRI and pharmacological MRI. MR-derived parameters were applied to correct hemodynamic artifacts. Results of FRET measurements were validated by local field potential, magnetic resonance spectroscopy, and blood analysis. RESULTS: Hemodynamic artifacts dominated fiber-based in vivo FRET measurements with both Laconic and Twitch-2B. Our MR-based correction algorithm enabled to remove the artifacts and detect lactate and calcium changes during sensory stimulation or intravenous lactate injections. CONCLUSIONS: In vivo fiber-based lactate recordings are feasible using FRET-based sensors. However, signal corrections are required. MR-derived hemodynamic parameters can successfully be applied for artifact correction.
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spelling pubmed-90842242022-05-11 Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts Lambers, Henriette Wachsmuth, Lydia Thomas, Dominik Boumezbeur, Fawzi Hoesker, Vanessa Pradier, Bruno Faber, Cornelius Neurophotonics Special Section on Hybrid Photonic/X Neurointerfaces SIGNIFICANCE: Fluorescence resonance energy transfer (FRET) sensors offer enormous benefits when studying neurophysiology through confocal microscopy. Yet, their use for fiber-based in vivo recordings is hampered by massive confounding effects and has therefore been scarcely reported. AIM: We aim to investigate whether in vivo fiber-based lactate recordings in the rodent brain are feasible with FRET sensors and implement a correction algorithm for the predominant hemodynamic artifact. APPROACH: We performed fiber-based FRET recordings of lactate (Laconic) and calcium (Twitch-2B) simultaneously with functional MRI and pharmacological MRI. MR-derived parameters were applied to correct hemodynamic artifacts. Results of FRET measurements were validated by local field potential, magnetic resonance spectroscopy, and blood analysis. RESULTS: Hemodynamic artifacts dominated fiber-based in vivo FRET measurements with both Laconic and Twitch-2B. Our MR-based correction algorithm enabled to remove the artifacts and detect lactate and calcium changes during sensory stimulation or intravenous lactate injections. CONCLUSIONS: In vivo fiber-based lactate recordings are feasible using FRET-based sensors. However, signal corrections are required. MR-derived hemodynamic parameters can successfully be applied for artifact correction. Society of Photo-Optical Instrumentation Engineers 2022-05-09 2022-07 /pmc/articles/PMC9084224/ /pubmed/35558647 http://dx.doi.org/10.1117/1.NPh.9.3.032212 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Special Section on Hybrid Photonic/X Neurointerfaces
Lambers, Henriette
Wachsmuth, Lydia
Thomas, Dominik
Boumezbeur, Fawzi
Hoesker, Vanessa
Pradier, Bruno
Faber, Cornelius
Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts
title Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts
title_full Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts
title_fullStr Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts
title_full_unstemmed Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts
title_short Fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts
title_sort fiber-based lactate recordings with fluorescence resonance energy transfer sensors by applying an magnetic resonance-informed correction of hemodynamic artifacts
topic Special Section on Hybrid Photonic/X Neurointerfaces
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084224/
https://www.ncbi.nlm.nih.gov/pubmed/35558647
http://dx.doi.org/10.1117/1.NPh.9.3.032212
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