Evidence map›Paper›PMID 32898683›Full record

ArticleNeuroImage2020

Ultra-high field (10.5 T) resting state fMRI in the macaque.

Essa Yacoub, Mark D Grier, Edward J Auerbach, Russell L Lagore, Noam Harel, Gregor Adriany, Anna Zilverstand, Benjamin Y Hayden, Sarah R Heilbronner, Kamil Uğurbil and 1 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

37 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. 10.5 T In Vivo Head Imaging With Universal RF Shimming.Magnetic resonance in medicine · 2026
    Article
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  5. Article
  6. Article
  7. Article
  8. Review
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  15. Article
  16. Review
  17. Article
  18. Translational In Vivo Assays in Behavioral Biology.Annual review of pharmacology and toxicology · 2024
    Review
  19. Review
  20. Induced neural phase precession through exogeneous electric fields.bioRxiv : the preprint server for biology · 2023
    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

11 authors at 1 institution in 1 country.

Essa YacoubCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, United States; Center for Neuroengineering, University of Minnesota, Minneapolis, MN 55455, United States.
Mark D GrierDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, United States.
Edward J AuerbachCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, United States.
Russell L LagoreCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, United States.
Noam HarelCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, United States; Department of Neurosurgery, University of Minnesota, Minneapolis, MN 55455, United States.
Gregor AdrianyCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, United States; Center for Neuroengineering, University of Minnesota, Minneapolis, MN 55455, United States.
Anna ZilverstandDepartment of Psychiatry, University of Minnesota, Minneapolis, MN 55455, United States.
Benjamin Y HaydenDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, United States; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, United States; Center for Neuroengineering, University of Minnesota, Minneapolis, MN 55455, United States; Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, United States.
Sarah R HeilbronnerDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, United States; Center for Neuroengineering, University of Minnesota, Minneapolis, MN 55455, United States.
Kamil UğurbilCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, United States; Center for Neuroengineering, University of Minnesota, Minneapolis, MN 55455, United States.
Jan ZimmermannDepartment of Neuroscience, University of Minnesota, Minneapolis, MN 55455, United States; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN 55455, United States; Center for Neuroengineering, University of Minnesota, Minneapolis, MN 55455, United States; Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, United States. Electronic address: janz@umn.edu.
University of Minnesota · US

Funding

Viral Innovation CoreP30DA048742 · NIDA · UNIVERSITY OF MINNESOTA · PI Mark John Thomas · 2020 to 2026
$19.0M
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger · 2019 to 2026
$11.7M
NEUROSCIENCE TRAINING IN DRUG ABUSE RESEARCHT32DA007234 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Paul G Mermelstein, Jocelyn M Richard · 1986 to 2026
$10.9M
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
Pathophysiology-based approaches to deep brain stimulation for Parkinson's diseaseP50NS098573 · NINDS · UNIVERSITY OF MINNESOTA · PI EBERLY, LYNN E · 2016 to 2020
$9.1M
Neuroscience Cores For MR Studies of the BrainP30NS057091 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2006 to 2011
$8.5M
Neurons, Vessels and Voxels: Multi-modal Imaging of Layer Specific SignalsR01MH111447 · NIMH · UNIVERSITY OF MINNESOTA · PI KARA, PRAKASH, NASELARIS, THOMAS P · 2016 to 2020
$5.0M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
Algorithms for programming deep brain stimulation systemsR01NS081118 · NINDS · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM, JOHNSON, MATTHEW DOUGLAS · 2012 to 2023
$4.0M
NEURONAL BASIS OF PERSISTENCER01DA038615 · NIDA · UNIVERSITY OF ROCHESTER · PI HAYDEN, BENJAMIN Y · 2015 to 2024
$3.4M
The Neuronal Underpinnings of Non-invasive Laminar fMRIRF1MH116978 · NIMH · UNIVERSITY OF MINNESOTA · PI DEVINSKY, ORRIN, YACOUB, ESSA · 2018 to 2018
$2.9M
Traveling Wave Transcranial Alternating Current Stimulation for the Control of Large-Scale Brain NetworksRF1MH124909 · NIMH · UNIVERSITY OF MINNESOTA · PI OPITZ, ALEXANDER · 2020 to 2020
$2.4M
NIBIB NIH HHS P41 EB027061NIBIB NIH HHS U01 EB025144NIDA NIH HHS P30 DA048742NIDA NIH HHS R01 DA038615NIDA NIH HHS T32 DA007234NIMH NIH HHS R01 MH118257NIMH NIH HHS RF1 MH116978NIMH NIH HHS RF1 MH124909NINDS NIH HHS P30 NS057091NINDS NIH HHS P30 NS076408NINDS NIH HHS P50 NS098573NINDS NIH HHS R01 NS081118
6 · The paper itself

Abstract

Resting state functional connectivity refers to the temporal correlations between spontaneous hemodynamic signals obtained using functional magnetic resonance imaging. This technique has demonstrated that the structure and dynamics of identifiable networks are altered in psychiatric and neurological disease states. Thus, resting state network organizations can be used as a diagnostic, or prognostic recovery indicator. However, much about the physiological basis of this technique is unknown. Thus, providing a translational bridge to an optimal animal model, the macaque, in which invasive circuit manipulations are possible, is of utmost importance. Current approaches to resting state measurements in macaques face unique challenges associated with signal-to-noise, the need for contrast agents limiting translatability, and within-subject designs. These limitations can, in principle, be overcome through ultra-high magnetic fields. However, imaging at magnetic fields above 7T has yet to be adapted for fMRI in macaques. Here, we demonstrate that the combination of high channel count transmitter and receiver arrays, optimized pulse sequences, and careful anesthesia regimens, allows for detailed single-subject resting state analysis at high resolutions using a 10.5 Tesla scanner. In this study, we uncover thirty spatially detailed resting state components that are highly robust across individual macaques and closely resemble the quality and findings of connectomes from large human datasets. This detailed map of the rsfMRI 'macaque connectome' will be the basis for future neurobiological circuit manipulation work, providing valuable biological insights into human connectomics.

Indexed as

AnimalsBrainBrain MappingFemaleImage Processing, Computer-AssistedMacaca fascicularisMacaca mulattaMagnetic Resonance ImagingMaleNeural PathwaysSignal-To-Noise RatioFunctional connectivityFunctional MRI (fMRI)Resting-stateRhesus macaqueSpontaneous activity

Identifiers

PMID32898683
PMCPMC7745777
OpenAlexW3083482271

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.