Evidence map›Paper›PMID 34462435›Full record

ArticleNature communications2021

Lowering the thermal noise barrier in functional brain mapping with magnetic resonance imaging.

Luca Vizioli, Steen Moeller, Logan Dowdle, Mehmet Akçakaya, Federico De Martino, Essa Yacoub, Kamil Uğurbil

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07024875 (Precision Neuroimaging of Parkinson's Disease), which is not on this map. Cited by 110 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
110citing papers in PubMed, 1 pooled it
–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.

NCT07024875 recruitingnot on this mapstarted 2025, after this paper: background citation

Precision Neuroimaging of Parkinson's Disease

Typeobservational_patient_registrySponsorWashington University School of MedicineRan2025 to 2031Enrolled120ConditionsParkinsons Disease (PD)
3 · Its place in the literature

Who cites it

110 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  8. Review
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  11. From Microscale to Nanoscale Shadow Electrochemiluminescence Microscopy.Angewandte Chemie (International ed. in English) · 2026
    Article
  12. Article
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  16. Correspondence of large-scale functional brain network decline across aging mice and humans.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Article
  18. Neural Tuning for Ordinal Processing: Convergent Patterns in Human Brains and Artificial Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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  19. Article
  20. Article

50 more citing papers are in PubMed but not listed here.

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

7 authors.

Luca Vizioli *Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA. luca.vizioli1@gmail.com.ORCID 0000-0001-9450-1647
Steen Moeller *Center for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA.
Logan DowdleCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-1879-705X
Mehmet AkçakayaCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0001-6400-7736
Federico De MartinoCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA.ORCID 0000-0002-0352-0648
Essa YacoubCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA.
Kamil UğurbilCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, MN, USA. ugurb001@umn.edu.ORCID 0000-0002-8475-9334

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger · 2019 to 2026
$11.7M
Elementary Neuronal Ensembles to Whole Brain Networks: Ultrahigh Resolution Imaging of Function and Connectivity in Humans - SUPPLEMENTU01EB025144 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2017 to 2022
$9.7M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
Linking neuronal, metabolic, and hemodynamic responses across scalesRF1MH117015 · NIMH · UNIVERSITY OF MINNESOTA · PI GHOSE, GEOFFREY M · 2018 to 2018
$3.6M
The Neuronal Underpinnings of Non-invasive Laminar fMRIRF1MH116978 · NIMH · UNIVERSITY OF MINNESOTA · PI DEVINSKY, ORRIN, YACOUB, ESSA · 2018 to 2018
$2.9M
NIBIB NIH HHS P41 EB027061NIBIB NIH HHS U01 EB025144NIMH NIH HHS RF1 MH116978NIMH NIH HHS RF1 MH117015NINDS NIH HHS P30 NS076408U.S. Department of Health & Human Services | National Institutes of Health (NIH) U01EB025144
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) has become an indispensable tool for investigating the human brain. However, the inherently poor signal-to-noise-ratio (SNR) of the fMRI measurement represents a major barrier to expanding its spatiotemporal scale as well as its utility and ultimate impact. Here we introduce a denoising technique that selectively suppresses the thermal noise contribution to the fMRI experiment. Using 7-Tesla, high-resolution human brain data, we demonstrate improvements in key metrics of functional mapping (temporal-SNR, the detection and reproducibility of stimulus-induced signal changes, and accuracy of functional maps) while leaving the amplitude of the stimulus-induced signal changes, spatial precision, and functional point-spread-function unaltered. We demonstrate that the method enables the acquisition of ultrahigh resolution (0.5 mm isotropic) functional maps but is also equally beneficial for a large variety of fMRI applications, including supra-millimeter resolution 3- and 7-Tesla data obtained over different cortical regions with different stimulation/task paradigms and acquisition strategies.

Indexed as

AdultBrainBrain MappingFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMale

Identifiers

PMID34462435
PMCPMC8405721

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.