Cargando…

Toward an integrative neurovascular framework for studying brain networks

Brain functional connectivity based on the measure of blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals has become one of the most widely used measurements in human neuroimaging. However, the nature of the functional networks revealed by BOLD fMRI can be ambigu...

Descripción completa

Detalles Bibliográficos
Autores principales: Guilbert, Jérémie, Légaré, Antoine, De Koninck, Paul, Desrosiers, Patrick, Desjardins, Michèle
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/PMC8989057/
https://www.ncbi.nlm.nih.gov/pubmed/35434179
http://dx.doi.org/10.1117/1.NPh.9.3.032211
_version_ 1784683083317903360
author Guilbert, Jérémie
Légaré, Antoine
De Koninck, Paul
Desrosiers, Patrick
Desjardins, Michèle
author_facet Guilbert, Jérémie
Légaré, Antoine
De Koninck, Paul
Desrosiers, Patrick
Desjardins, Michèle
author_sort Guilbert, Jérémie
collection PubMed
description Brain functional connectivity based on the measure of blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals has become one of the most widely used measurements in human neuroimaging. However, the nature of the functional networks revealed by BOLD fMRI can be ambiguous, as highlighted by a recent series of experiments that have suggested that typical resting-state networks can be replicated from purely vascular or physiologically driven BOLD signals. After going through a brief review of the key concepts of brain network analysis, we explore how the vascular and neuronal systems interact to give rise to the brain functional networks measured with BOLD fMRI. This leads us to emphasize a view of the vascular network not only as a confounding element in fMRI but also as a functionally relevant system that is entangled with the neuronal network. To study the vascular and neuronal underpinnings of BOLD functional connectivity, we consider a combination of methodological avenues based on multiscale and multimodal optical imaging in mice, used in combination with computational models that allow the integration of vascular information to explain functional connectivity.
format Online
Article
Text
id pubmed-8989057
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Society of Photo-Optical Instrumentation Engineers
record_format MEDLINE/PubMed
spelling pubmed-89890572022-04-14 Toward an integrative neurovascular framework for studying brain networks Guilbert, Jérémie Légaré, Antoine De Koninck, Paul Desrosiers, Patrick Desjardins, Michèle Neurophotonics Special Section on Hybrid Photonic/X Neurointerfaces Brain functional connectivity based on the measure of blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) signals has become one of the most widely used measurements in human neuroimaging. However, the nature of the functional networks revealed by BOLD fMRI can be ambiguous, as highlighted by a recent series of experiments that have suggested that typical resting-state networks can be replicated from purely vascular or physiologically driven BOLD signals. After going through a brief review of the key concepts of brain network analysis, we explore how the vascular and neuronal systems interact to give rise to the brain functional networks measured with BOLD fMRI. This leads us to emphasize a view of the vascular network not only as a confounding element in fMRI but also as a functionally relevant system that is entangled with the neuronal network. To study the vascular and neuronal underpinnings of BOLD functional connectivity, we consider a combination of methodological avenues based on multiscale and multimodal optical imaging in mice, used in combination with computational models that allow the integration of vascular information to explain functional connectivity. Society of Photo-Optical Instrumentation Engineers 2022-04-07 2022-07 /pmc/articles/PMC8989057/ /pubmed/35434179 http://dx.doi.org/10.1117/1.NPh.9.3.032211 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
Guilbert, Jérémie
Légaré, Antoine
De Koninck, Paul
Desrosiers, Patrick
Desjardins, Michèle
Toward an integrative neurovascular framework for studying brain networks
title Toward an integrative neurovascular framework for studying brain networks
title_full Toward an integrative neurovascular framework for studying brain networks
title_fullStr Toward an integrative neurovascular framework for studying brain networks
title_full_unstemmed Toward an integrative neurovascular framework for studying brain networks
title_short Toward an integrative neurovascular framework for studying brain networks
title_sort toward an integrative neurovascular framework for studying brain networks
topic Special Section on Hybrid Photonic/X Neurointerfaces
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989057/
https://www.ncbi.nlm.nih.gov/pubmed/35434179
http://dx.doi.org/10.1117/1.NPh.9.3.032211
work_keys_str_mv AT guilbertjeremie towardanintegrativeneurovascularframeworkforstudyingbrainnetworks
AT legareantoine towardanintegrativeneurovascularframeworkforstudyingbrainnetworks
AT dekoninckpaul towardanintegrativeneurovascularframeworkforstudyingbrainnetworks
AT desrosierspatrick towardanintegrativeneurovascularframeworkforstudyingbrainnetworks
AT desjardinsmichele towardanintegrativeneurovascularframeworkforstudyingbrainnetworks