Evidence map›Paper›PMID 30731246›Full record

ArticleNeuroImage2019

A critical assessment of data quality and venous effects in sub-millimeter fMRI.

Kendrick Kay, Keith W Jamison, Luca Vizioli, Ruyuan Zhang, Eshed Margalit, Kamil Ugurbil

Abstract read
In one paragraph

Article in NeuroImage, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Article
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  5. BOLD response delays represent local cortical processing.Cerebral cortex (New York, N.Y. : 1991) · 2026
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  13. Review
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  15. Article
  16. Principles of intensive human neuroimaging.Trends in neurosciences · 2024
    Article
  17. Article
  18. Article
  19. Review
  20. Article

1 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

6 authors.

Kendrick KayCenter for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, USA. Electronic address: kay@umn.edu.
Keith W JamisonCenter for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, USA.
Luca VizioliCenter for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, USA.
Ruyuan ZhangCenter for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, USA.
Eshed MargalitStanford Neurosciences Institute, Stanford University, USA.
Kamil UgurbilCenter for Magnetic Resonance Research (CMRR), Department of Radiology, University of Minnesota, USA.

Funding

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
Visual TestingP30EY011374 · NEI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI NEWMAN, ERIC A · 1996 to 2019
$8.8M
NMR Imaging and SpectroscopyP41EB015894 · NIBIB · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2017
$8.4M
Institutional Center Cores for Advanced NeuroimagingP30NS076408 · NINDS · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2012 to 2020
$4.2M
High Performance Connectome Upgrade for Human 3T MR ScannerS10OD017974 · OD · UNIVERSITY OF MINNESOTA · PI LIM, KELVIN O. · 2014 to 2014
$600k
MULTICHANNEL TRANSMIT FRONTEND FOR 7 TESLAS10RR026783 · NCRR · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2009 to 2009
$500k
NCRR NIH HHS S10 RR026783NEI NIH HHS P30 EY011374NIBIB NIH HHS P41 EB015894NIBIB NIH HHS U01 EB025144NIH HHS S10 OD017974NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

Advances in hardware, pulse sequences, and reconstruction techniques have made it possible to perform functional magnetic resonance imaging (fMRI) at sub-millimeter resolution while maintaining high spatial coverage and acceptable signal-to-noise ratio. Here, we examine whether sub-millimeter fMRI can be used as a routine method for obtaining accurate measurements of fine-scale local neural activity. We conducted fMRI in human visual cortex during a simple event-related visual experiment (7 T, gradient-echo EPI, 0.8-mm isotropic voxels, 2.2-s sampling rate, 84 slices), and developed analysis and visualization tools to assess the quality of the data. Our results fall along three lines of inquiry. First, we find that the acquired fMRI images, combined with appropriate surface-based processing, provide reliable and accurate measurements of fine-scale blood oxygenation level dependent (BOLD) activity patterns. Second, we show that the highly folded structure of cortex causes substantial biases on spatial resolution and data visualization. Third, we examine the well-recognized issue of venous contributions to fMRI signals. In a systematic assessment of large sections of cortex measured at a fine scale, we show that time-averaged T

Indexed as

AdultBrain MappingFemaleHumansMagnetic Resonance ImagingMalePattern Recognition, VisualVisual CortexBOLD signalCortical curvatureCortical depthHigh-resolution fMRIVasculatureVeins

Identifiers

PMID30731246
PMCPMC7737092

What OpenQuestion holds

Textmetadata
LicenceTDM
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.