Evidence map›Paper›PMID 41108198›Full record

ArticleMagnetic resonance in medicine2026

Advancing whole-brain BOLD functional MRI in humans at 10.5 T with motion-robust 3D echo-planar imaging, parallel transmission, and high-density radiofrequency receive coils.

Shuxian Qu, Jiaen Liu, Peter van Gelderen, Jacco A de Zwart, Jeff H Duyn, Matt Waks, Russell Lagore, Alexander Bratch, Andrea Grant, Edward Auerbach and 6 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

16 authors.

Shuxian QuCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0009-0004-7962-0399
Jiaen LiuAdvanced Imaging Research Center, UT Southwestern Medical Center, Dallas, Texas, USA.ORCID https://orcid.org/0000-0001-7968-8431
Peter van GelderenAdvanced MRI section, NINDS, NIH, Bethesda, Maryland, USA.
Jacco A de ZwartAdvanced MRI section, NINDS, NIH, Bethesda, Maryland, USA.ORCID https://orcid.org/0000-0001-8155-8185
Jeff H DuynAdvanced MRI section, NINDS, NIH, Bethesda, Maryland, USA.
Matt WaksCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-1743-8888
Russell LagoreCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-1950-1828
Alexander BratchCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Andrea GrantCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Edward AuerbachCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-4553-1545
Lance DelabarreCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Alireza Sadeghi-TarakamehCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-5718-6553
Yigitcan EryamanCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.
Gregor AdrianyCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-6428-9005
Kamil UgurbilCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-8475-9334
Xiaoping WuCenter for Magnetic Resonance Research, Radiology, Medical School, University of Minnesota Twin Cities, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-6021-9088

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Mehmet Akcakaya · 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
CONSOLE FOR 10.5 TESLA WHOLE BODY MRI SYSTEMS10RR029672 · NCRR · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2010 to 2010
$7.8M
Ultrahigh-resolution Functional MRI of the Human Brain at 10.5 TeslaR01NS136490 · NINDS · UNIVERSITY OF MINNESOTA · PI Luca Vizioli, Xiaoping Wu · 2024 to 2026
$1.7M
Hamon FoundationNCRR NIH HHS S10 RR029672NIBIB NIH HHS P41 EB027061NIBIB NIH HHS U01 EB025144NINDS, NIHNINDS NIH HHS R01 NS136490Texas Instrument Foundation
6 · The paper itself

Abstract

purposeTo demonstrate the feasibility and performance of whole-brain blood oxygen level-dependent functional MRI (fMRI) in humans at 10.5 T by combining motion-robust three-dimensional gradient-echo echo-planar imaging, parallel transmission, and high-density radiofrequency (RF) receive coils.

methodsResting-state fMRI time series were collected in healthy adults at 1.58 mm and approximately 2-s spatiotemporal resolution using a custom-built 16-channel transmit/80-channel receive RF array. Individualized parallel-transmission, spatial-spectral RF pulses were designed to achieve uniform water-selective excitation across the entire brain without the need for additional fat saturation. Images were reconstructed with navigator-guided joint motion and field correction. Reconstructed images were preprocessed using fMRIPrep and postprocessed using XCP-D pipelines. Relevant resting-state fMRI metrics were evaluated including temporal SNR (tSNR), amplitude of low-frequency fluctuation, and regional homogeneity. The results were compared with those obtained using uncorrected reconstruction (i.e., using same raw data but without motion or field correction).

resultsOur motion-corrected reconstruction largely improved image quality for fMRI time series, reducing motion confounds when compared with uncorrected reconstruction. The reduction in motion confounds translated into an improvement in tSNR, with tSNR averaged across all volunteers being increased by about 11%. Our motion-corrected reconstruction also improved both amplitude of low-frequency fluctuation and regional homogeneity in most cortical surfaces and subcortical regions.

conclusionIt is feasible to perform quality three-dimensional whole-brain blood oxygen level-dependent fMRI in humans at 10.5 T using a new comprehensive motion-robust imaging method. This work paves the way for promising future applications at 10.5 T aimed at studying brain function and networks with high spatiotemporal resolution.

Indexed as

BrainBrain MappingEcho-Planar ImagingImaging, Three-DimensionalMagnetic Resonance ImagingAdultAlgorithmsFemaleHumansImage Processing, Computer-AssistedMaleMotionRadio WavesSignal-To-Noise Ratio3D EPIBOLD fMRIHigh‐density RF coilsParallel transmissionResting‐state fMRIUltrahigh‐field MRI

Identifiers

PMID41108198
PMCPMC12681312

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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.