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...
Autores principales: | , , , , |
---|---|
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 |