Evidence map›Paper›PMID 40800337›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Predicting the macrovascular contribution to resting-state fMRI functional connectivity at 3 Tesla: A model-informed approach.

Xiaole Z Zhong, Jonathan R Polimeni, J Jean Chen

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Baseline electrophysiology versus oxidative metabolism as traits of inter-network differences in neurometabolic association.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
    Article
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  6. Widespread Autonomic Physiological Coupling Across the Brain-Body Axis.bioRxiv : the preprint server for biology · 2024
    Article
  7. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Xiaole Z ZhongRotman Research Institute at Baycrest, Toronto, ON, Canada.
Jonathan R PolimeniAthinoula A. Martinos centre for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States.
J Jean ChenRotman Research Institute at Baycrest, Toronto, ON, Canada.

Funding

Project 4U19NS123717 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LINNINGER, ANDREAS A · 2021 to 2025
$13.4M
Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
Improving Human fMRI through Modeling and Imaging Microvascular Dynamics: Administrative SupplementR01MH111419 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI POLIMENI, JONATHAN RIZZO · 2016 to 2020
$4.9M
NIBIB NIH HHS P41 EB030006NIMH NIH HHS R01 MH111419NINDS NIH HHS U19 NS123717
6 · The paper itself

Abstract

Macrovascular biases have been a long-standing challenge for functional magneticresonance imaging (fMRI), limiting its ability to detect spatially specificneural activity. Recent experimental studies, including our own, foundsubstantial resting-state macrovascular blood-oxygenation level-dependent (BOLD)fMRI contributions from large veins and arteries, extending into theperivascular tissue at 3 T and 7 T. The objective of this study is todemonstrate the feasibility of predicting, using a biophysical model, theexperimental resting-state BOLD fluctuation amplitude (RSFA) and associatedfunctional connectivity (FC) values at 3 Tesla. We investigated the feasibilityof both 2D and 3D infinite-cylinder Models as well as macrovascular anatomicalnetworks (macro-VANs) derived from angiograms. Our results demonstrate that (1)with the availability of macro-VANs, it is feasible to model macrovascular BOLDFC using both the macro-VAN-based model and 3D infinite-cylinder Models, thoughthe former performed better; (2) biophysical modelling can accurately predictthe BOLD pair-wise correlation near to large veins (with R

Indexed as

biophysical modellingblood-oxygenation-level-dependent fMRIfunctional connectivityresting-state fluctuation amplitude (RSFA)vascular anatomical network (VAN)vascular bias correction

Identifiers

PMID40800337
PMCPMC12290778

What OpenQuestion holds

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LicenceCC BY
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.