Evidence map›Paper›PMID 28373123›Full record

ArticleNeuroImage2018

Sensitivity and specificity considerations for fMRI encoding, decoding, and mapping of auditory cortex at ultra-high field.

Michelle Moerel, Federico De Martino, Valentin G Kemper, Sebastian Schmitter, An T Vu, Kâmil Uğurbil, Elia Formisano, Essa Yacoub

Abstract read
In one paragraph

Article in NeuroImage, 2018. 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
–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

37 citing papers in PubMed.

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  8. Linguistic modulation of the neural encoding of phonemes.Cerebral cortex (New York, N.Y. : 1991) · 2024
    Article
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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

8 authors.

Michelle MoerelCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA; Maastricht Centre for Systems Biology, Maastricht University, Maastricht, The Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Maastricht Brain Imaging Center (MBIC), Maastricht, The Netherlands. Electronic address: michelle.moerel@maastrichtuniversity.nl.
Federico De MartinoCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Maastricht Brain Imaging Center (MBIC), Maastricht, The Netherlands. Electronic address: f.demartino@maastrichtuniversity.nl.
Valentin G KemperDepartment of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Maastricht Brain Imaging Center (MBIC), Maastricht, The Netherlands. Electronic address: valentin.kemper@maastrichtuniversity.nl.
Sebastian SchmitterCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA; Department of Biomedical Magnetic Resonance, Physikalisch-Technische Bundesanstalt, Berlin, Germany. Electronic address: sschmitt@umn.edu.
An T VuCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, CA, USA; Advanced MRI Technologies, Sebastopol, CA, USA. Electronic address: anvu@berkeley.edu.
Kâmil UğurbilCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA. Electronic address: kamil@cmrr.umn.edu.
Elia FormisanoMaastricht Centre for Systems Biology, Maastricht University, Maastricht, The Netherlands; Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands; Maastricht Brain Imaging Center (MBIC), Maastricht, The Netherlands. Electronic address: e.formisano@maastrichtuniversity.nl.
Essa YacoubCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, USA. Electronic address: yaco0006@umn.edu.

Funding

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
MULTICHANNEL TRANSMIT FRONTEND FOR 7 TESLAS10RR026783 · NCRR · UNIVERSITY OF MINNESOTA · PI UGURBIL, KAMIL · 2009 to 2009
$500k
NCRR NIH HHS S10 RR026783NIBIB NIH HHS P41 EB015894NINDS NIH HHS P30 NS076408
6 · The paper itself

Abstract

Following rapid technological advances, ultra-high field functional MRI (fMRI) enables exploring correlates of neuronal population activity at an increasing spatial resolution. However, as the fMRI blood-oxygenation-level-dependent (BOLD) contrast is a vascular signal, the spatial specificity of fMRI data is ultimately determined by the characteristics of the underlying vasculature. At 7T, fMRI measurement parameters determine the relative contribution of the macro- and microvasculature to the acquired signal. Here we investigate how these parameters affect relevant high-end fMRI analyses such as encoding, decoding, and submillimeter mapping of voxel preferences in the human auditory cortex. Specifically, we compare a T

Indexed as

AlgorithmsAuditory CortexBrain MappingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingSensitivity and SpecificityHuman auditory cortexSensitivitySpecificityUltra-high field fMRI

Identifiers

PMID28373123
PMCPMC5623610

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.