Evidence map›Paper›PMID 40079256›Full record

ArticleMagnetic resonance in medicine2025

A 128-channel receive array with enhanced signal-to-noise ratio performance for 10.5T brain imaging.

Russell L Lagore, Alireza Sadeghi-Tarakameh, Andrea Grant, Matt Waks, Edward Auerbach, Steve Jungst, Lance DelaBarre, Steen Moeller, Yigitcan Eryaman, Riccardo Lattanzi and 8 more

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Optical Detuning Strategies for Shielded Loop Resonators.Magnetic resonance in medicine · 2026
    Article
  2. Article
  3. Magnetic resonance imaging.Science advances · 2026
    Review
  4. Article
  5. Mesoscale Whole-Brain TMagnetic resonance in medicine · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. 10.5 T In Vivo Head Imaging With Universal RF Shimming.Magnetic resonance in medicine · 2026
    Article
  10. Article
  11. Article
  12. First In VivoMagnetic resonance in medicine · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Russell L LagoreCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-1950-1828
Alireza Sadeghi-TarakamehCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-5718-6553
Andrea GrantCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-1553-596X
Matt WaksCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-1743-8888
Edward AuerbachCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-4553-1545
Steve JungstCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-8374-7924
Lance DelaBarreCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0009-0002-2171-0530
Steen MoellerCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-1698-7260
Yigitcan EryamanCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0009-0006-7880-9872
Riccardo LattanziThe Bernard and Irene Schwartz Center for Biomedical Imaging (CBI) and the Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0002-8240-5903
Ilias GiannakopoulosThe Bernard and Irene Schwartz Center for Biomedical Imaging (CBI) and the Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University Grossman School of Medicine, New York, New York, USA.ORCID https://orcid.org/0000-0003-2180-5898
Luca VizioliCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-9450-1647
Essa YacoubCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0009-0000-1007-9056
Simon SchmidtCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0003-1835-4002
Gregory J MetzgerCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-3187-6529
Xiaoping WuCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0001-6021-9088
Gregor AdrianyCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-6428-9005
Kamil UğurbilCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, Minnesota, USA.ORCID https://orcid.org/0000-0002-8475-9334

Funding

TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Christopher M Collins · 2014 to 2026
$19.3M
BRAIN CONNECTS: Center for Mesoscale ConnectomicsUM1NS132207 · NINDS · UNIVERSITY OF MINNESOTA · PI TANER AKKIN, Damien A Fair · 2023 to 2026
$12.5M
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 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
Novel Software Tools for Rational Design and Assessment of MR CoilsR01EB024536 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Riccardo Lattanzi · 2017 to 2026
$5.1M
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
NCRR NIH HHS S10 RR029672NIBIB NIH HHS P41 EB017183NIBIB NIH HHS P41 EB027061NIBIB NIH HHS R01 EB024536NIBIB NIH HHS U01 EB025144NIH HHS P41 EB017183NIH HHS P41 EB027061NIH HHS R01 EB024536NIH HHS R01 NS136490NIH HHS S10 RR029672NIH HHS U01 EB025144NIH HHS UM1 NS132207NINDS NIH HHS R01 NS136490NINDS NIH HHS UM1 NS132207
6 · The paper itself

Abstract

purposeTo develop and characterize a 128-channel head array for brain imaging at 10.5 T, evaluate signal-to-noise ratio (SNR) relative to ultimate intrinsic SNR (uiSNR) and lower field strengths, and demonstrate human brain anatomical and functional imaging with this unique magnetic field and high-channel-count array.

methodsThe coil consists of a 16-channel self-decoupled loop transmit/receive (16Tx/Rx) array with a 112-loop receive-only (Rx) insert. Interactions between the 16Tx/Rx array and the 112Rx insert were mitigated using coaxial cable traps placed every 1/16 of a wavelength on each feed cable, locating most preamplifier boards outside the transmitter field, and miniaturizing those placed directly on individual coils.

resultsThe effect of the 112Rx insert on the circumscribing 16Tx/Rx array was minimized, leading to similar transmit field maps obtained experimentally with and without the 112Rx array in place and by electromagnetic simulations of the 16Tx/Rx array alone. The 128-channel array captured 77% of uiSNR centrally. Significantly higher 1/g-factor values across the whole brain was achieved compared with 7 T. Excellent SNR, high parallel-imaging performance, and minimal Tx-Rx interactions collectively facilitated acquisition of high-quality, high-resolution, proof-of-concept functional and anatomical images, including with power-demanding sequences in the human brain.

conclusionsCounterintuitive to expectations based on magnetic fields less than or equal to 7 T, the higher channel counts provided SNR gains centrally, capturing about 80% uiSNR. The fraction of uiSNR achieved centrally in 64Rx, 80Rx, and 128Rx arrays suggested that a plateau was being reached at 80%. At this plateau, B

Indexed as

BrainMagnetic Resonance ImagingEquipment DesignHumansImage Processing, Computer-AssistedPhantoms, ImagingSignal-To-Noise Ratio128‐channelneuroimagingreceive arrayRF coilUHFultrahigh‐field MRI

Identifiers

PMID40079256
PMCPMC11971493

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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.