Evidence map›Paper›PMID 33190599›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2021

Forging a path to mesoscopic imaging success with ultra-high field functional magnetic resonance imaging.

Kimberly B Weldon, Cheryl A Olman

Open access · hybridAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
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  8. Review
  9. Article
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  15. Article
  16. ULTRAHIGH FIELD and ULTRAHIGH RESOLUTION fMRI.Current opinion in biomedical engineering · 2021
    Article
  17. Key relationships between non-invasive functional neuroimaging and the underlying neuronal activity.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  18. Review
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

2 authors at 1 institution in 1 country.

Kimberly B WeldonDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN 55455, USA.
Cheryl A OlmanCenter for Magnetic Resonance Imaging, University of Minnesota, Minneapolis, MN 55455, USA.
University of Minnesota · US

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
Visual TestingP30EY011374 · NEI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI NEWMAN, ERIC A · 1996 to 2019
$8.8M
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 LENGLET, CHRISTOPHE · 2012 to 2020
$4.2M
MULTICHANNEL TRANSMIT FRONTEND FOR 7 TESLAS10RR026783 · NCRR · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2009 to 2009
$500k
Depth-dependent fMRI: feasibility and utilityR21EY025731 · NEI · UNIVERSITY OF MINNESOTA · PI OLMAN, CHERYL A., YACOUB, ESSA · 2016 to 2017
$418k
NCRR NIH HHS S10 RR026783NEI NIH HHS P30 EY011374NEI NIH HHS R21 EY025731NIBIB NIH HHS P41 EB027061NIMH NIH HHS R01 MH111447NINDS NIH HHS P30 NS057091NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

Functional magnetic resonance imaging (fMRI) studies with ultra-high field (UHF, 7+ Tesla) technology enable the acquisition of high-resolution images. In this work, we discuss recent achievements in UHF fMRI at the mesoscopic scale, on the order of cortical columns and layers, and examine approaches to addressing common challenges. As researchers push to smaller and smaller voxel sizes, acquisition and analysis decisions have greater potential to degrade spatial accuracy, and UHF fMRI data must be carefully interpreted. We consider the impact of acquisition decisions on the spatial specificity of the MR signal with a representative dataset with 0.8 mm isotropic resolution. We illustrate the trade-offs in contrast with noise ratio and spatial specificity of different acquisition techniques and show that acquisition blurring can increase the effective voxel size by as much as 50% in some dimensions. We further describe how different sources of degradations to spatial resolution in functional data may be characterized. Finally, we emphasize that progress in UHF fMRI depends not only on scientific discovery and technical advancement, but also on informal discussions and documentation of challenges researchers face and overcome in pursuit of their goals. This article is part of the theme issue 'Key relationships between non-invasive functional neuroimaging and the underlying neuronal activity'.

Indexed as

BrainFunctional NeuroimagingHumansImage Processing, Computer-AssistedMagnetic Resonance Imagingcortical columnsfMRIlayer dependentspatial specificityultra-high field

Identifiers

PMID33190599
PMCPMC7741029
OpenAlexW3105395007

What OpenQuestion holds

Textmetadata
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.