Evidence map›Paper›PMID 37662201›Full record

ArticlebioRxiv : the preprint server for biology2023

The Significance and Limited Influence of Cerebrovascular Reactivity on Age and Sex Effects in Task- and Resting-State Brain Activity.

Donna Y Chen, Xin Di, Xin Yu, Bharat B Biswal

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Donna Y ChenDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
Xin DiDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
Xin YuAthinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
Bharat B BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, USA.
New Jersey Institute of Technology · USHarvard University · USRutgers, The State University of New Jersey · US

Funding

Investigating the Thalamic Regulation of Neuro-Glio-Vascular Restoration Underlying Acute Coma Recovery with Multi-Modal fMRI in a Brainstem Coma Rodent ModelR01NS122904 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI YU, XIN · 2021 to 2025
$3.2M
Investigating the neurophysiological basis of circuit-specific laminar rs-fMRIRF1NS124778 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI BISWAL, BHARAT BHUSAN, BROWN, EMERY N · 2022 to 2022
$2.1M
Functional Connectivity and Baseline Networks of the White Matter Brain: Development and Dissemination of Algorithms and ToolsR01MH131335 · NIMH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI BISWAL, BHARAT BHUSAN · 2022 to 2025
$2.1M
Develop a multi-modal cross-scale fMRI platform with laminar-specific cellular recordings through multi-channel tapered photonic crystal fiber arrayRF1NS113278 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI YU, XIN · 2019 to 2019
$2.0M
Bridging the cellular and microvascular anatomy and functional dynamics: Upgrade the 14T horizontal MR for rodent and ex-vivo imagingS10MH124733 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R, YU, XIN · 2020 to 2020
$600k
Upgrade the 14T Ultrahigh Field Horizontal MR Scanner for Rodent and ex-vivo ImagingS10OD028616 · OD · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2021 to 2021
$600k
Functional brain developments during movie watching and resting-state in autism spectrum disorderR15MH125332 · NIMH · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI DI, XIN · 2021 to 2021
$305k
NIH HHS S10 OD028616NIMH NIH HHS R01 MH131335NIMH NIH HHS R15 MH125332NIMH NIH HHS S10 MH124733NINDS NIH HHS R01 NS122904NINDS NIH HHS RF1 NS113278NINDS NIH HHS RF1 NS124778
6 · The paper itself

Abstract

Functional MRI (fMRI) measures the blood-oxygen-level dependent (BOLD) signals, which provide an indirect measure of neural activity mediated by neurovascular responses. Cerebrovascular reactivity affects both task-induced and resting-state BOLD activity and may confound inter-individual effects observed in BOLD-based measures, such as those related to aging and biological sex. To investigate this, we examined a large open-access fMRI dataset containing a breath-holding task, checkerboard task, and resting-state scans. We used the breath-holding task to measure cerebrovascular reactivity, used the checkerboard task to obtain task-based activations, and from the resting-state data, we quantified the resting-state amplitude of low-frequency fluctuations (ALFF), and resting-state regional homogeneity (ReHo). We hypothesized that cerebrovascular reactivity would be correlated with BOLD measures and that accounting for these correlations would result in better estimates of age and sex effects. Our analysis showed that cerebrovascular reactivity was correlated with checkerboard task activations in the visual cortex and with ALFF and ReHo in widespread fronto-parietal regions, as well as regions with large vessels. We also found significant age and sex effects in cerebrovascular reactivity, some of which overlapped with those observed in ALFF and ReHo scores. Finally, we demonstrated that correcting for the effects of cerebrovascular reactivity had very limited influence on the estimates of age and sex. Our results highlight the limitations of accounting for cerebrovascular reactivity with the current breath-holding task.

Indexed as

AgingBlood-Oxygen-Level DependentfMRIlife spanneurovascular couplingresting-state

Identifiers

PMID37662201
PMCPMC10473673
OpenAlexW4386022847

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.