Evidence map›Paper›PMID 35434179›Full record

ArticleNeurophotonics2022

Toward an integrative neurovascular framework for studying brain networks.

Jérémie Guilbert, Antoine Légaré, Paul De Koninck, Patrick Desrosiers, Michèle Desjardins

Abstract read
In one paragraph

Article in Neurophotonics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jérémie GuilbertUniversité Laval, Department of Physics, Physical Engineering, and Optics, Québec, Canada.
Antoine LégaréUniversité Laval, Department of Physics, Physical Engineering, and Optics, Québec, Canada.
Paul De KoninckCentre de recherche CERVO, Québec, Canada.ORCID https://orcid.org/0000-0002-6436-1062
Patrick DesrosiersUniversité Laval, Department of Physics, Physical Engineering, and Optics, Québec, Canada.
Michèle DesjardinsUniversité Laval, Department of Physics, Physical Engineering, and Optics, Québec, Canada.ORCID https://orcid.org/0000-0003-1112-1628

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BOLD fMRIbrain optical imagingfunctional connectivityneurovascular couplingneurovascular networksvasculo-neuronal interactions

Identifiers

PMID35434179
PMCPMC8989057

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.