Evidence map›Paper›PMID 19778620›Full record

ArticleNeuroImage2010

Verification of fetal brain responses by coregistration of fetal ultrasound and fetal magnetoencephalography data.

C Micheli, J McCubbin, P Murphy, H Eswaran, C L Lowery, E Ortiz, H Preissl

Abstract readValidation Study
In one paragraph

Article in NeuroImage, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

C MicheliInstitute of Medical Psychology and Behavioral Neurobiology, University of Tübingen, Germany. michelic72@gmail.com
J McCubbin
P Murphy
H Eswaran
C L Lowery
E Ortiz
H Preissl

Funding

Development of Analysis Tools to Enhance Fetal Neurological AssessmentR01EB007826 · NIBIB · UNIV OF ARKANSAS FOR MED SCIS · PI ESWARAN, HARI · 2007 to 2013
$1.4M
NIBIB NIH HHS R01 EB007826NIBIB NIH HHS R01EB007826-01A1
6 · The paper itself

Abstract

Fetal magnetoencephalography (fMEG) is used to study neurological functions of the developing fetus by measuring magnetic signals generated by electrical sources within the fetal brain. For this aim either auditory or visual stimuli are presented and evoked brain activity or spontaneous activity is measured at the sensor level. However a limiting factor of this approach is the low signal to noise ratio (SNR) of recorded signals. To overcome this limitation, advanced signal processing techniques such as spatial filters (e.g., beamformer) can be used to increase SNR. One crucial aspect of this technique is the forward model and, in general, a simple spherical head model is used. This head model is an integral part of a model search approach to analyze the data due to the lack of exact knowledge about the location of the fetal head. In the present report we overcome this limitation by a coregistration of volumetric ultrasound images with fMEG data. In a first step we validated the ultrasound to fMEG coregistration with a phantom and were able to show that the coregistration error is below 2 cm. In the second step we compared the results gained by the model search approach to the exact location of the fetal head determined on pregnant mothers by ultrasound. The results of this study clearly show that the results of the model search approach are in accordance with the location of the fetal head.

Indexed as

Acoustic StimulationAlgorithmsAuditory PerceptionBrainEchoencephalographyEvoked PotentialsFemaleHeadHumansImage Processing, Computer-AssistedMagnetoencephalographyModels, TheoreticalPhantoms, ImagingPhotic StimulationPregnancyPrenatal Diagnosis

Identifiers

PMID19778620
PMCPMC2948237

What OpenQuestion holds

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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.