Evidence map›Paper›PMID 29885014›Full record

ArticleHuman brain mapping2018

Prospective motion correction improves the sensitivity of fMRI pattern decoding.

Pei Huang, Johan D Carlin, Arjen Alink, Nikolaus Kriegeskorte, Richard N Henson, Marta M Correia

Abstract read
In one paragraph

Article in Human brain mapping, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Pei HuangMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9991-5697
Johan D CarlinMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Arjen AlinkUniversity Medical Center Hamburg-Eppendorf, Hamburg, DE, Germany.
Nikolaus KriegeskorteColumbia University, Zuckerman Mind Brain Behvaior Institute, New York City, New York.
Richard N HensonMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Marta M CorreiaMRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.

Funding

Medical Research Council MC_U105579212Medical Research Council MC_U105597120Medical Research Council MC_UU_00005/14Medical Research Council MC_UU_00005/8Medical Research Council Programme SUAG/010 RG91365
6 · The paper itself

Abstract

We evaluated the effectiveness of prospective motion correction (PMC) on a simple visual task when no deliberate subject motion was present. The PMC system utilizes an in-bore optical camera to track an external marker attached to the participant via a custom-molded mouthpiece. The study was conducted at two resolutions (1.5 mm vs 3 mm) and under three conditions (PMC On and Mouthpiece On vs PMC Off and Mouthpiece On vs PMC Off and Mouthpiece Off). Multiple data analysis methods were conducted, including univariate and multivariate approaches, and we demonstrated that the benefit of PMC is most apparent for multi-voxel pattern decoding at higher resolutions. Additional testing on two participants showed that our inexpensive, commercially available mouthpiece solution produced comparable results to a dentist-molded mouthpiece. Our results showed that PMC is increasingly important at higher resolutions for analyses that require accurate voxel registration across time.

Indexed as

ArtifactsHead MovementsSupport Vector MachineAdultFunctional NeuroimagingHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingPattern Recognition, AutomatedPattern Recognition, VisualSensitivity and SpecificityVisual CortexfMRI analysislinear discriminant contrastpattern decodingprospective motion correction

Identifiers

PMID29885014
PMCPMC6175330

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.