Literature DB >> 19778620

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

C Micheli1, J McCubbin, P Murphy, H Eswaran, C L Lowery, E Ortiz, H Preissl.   

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.

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Year:  2009        PMID: 19778620      PMCID: PMC2948237          DOI: 10.1016/j.neuroimage.2009.09.025

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  19 in total

1.  Fetal brain activity in response to a visual stimulus.

Authors:  Jonathan Fulford; Shantala H Vadeyar; Senani H Dodampahala; Rachel J Moore; Paul Young; Philip N Baker; David K James; Penny A Gowland
Journal:  Hum Brain Mapp       Date:  2003-12       Impact factor: 5.038

2.  Fetal MEG redistribution by projection operators.

Authors:  Jiri Vrba; Stephen E Robinson; Jack Mccubbin; Curtis L Lowery; Hari Eswaran; James D Wilson; Pamela Murphy; Hubert Preissl
Journal:  IEEE Trans Biomed Eng       Date:  2004-07       Impact factor: 4.538

3.  An efficient calibration method for freehand 3-D ultrasound imaging systems.

Authors:  Daniel F Leotta
Journal:  Ultrasound Med Biol       Date:  2004-07       Impact factor: 2.998

4.  Human fetal brain imaging by magnetoencephalography: verification of fetal brain signals by comparison with fetal brain models.

Authors:  J Vrba; S E Robinson; J McCubbin; P Murphy; H Eswaran; J D Wilson; H Preissl; C L Lowery
Journal:  Neuroimage       Date:  2004-03       Impact factor: 6.556

5.  Antenatal determination of fetal brain activity in response to an acoustic stimulus using functional magnetic resonance imaging.

Authors:  R J Moore; S Vadeyar; J Fulford; D J Tyler; C Gribben; P N Baker; D James; P A Gowland
Journal:  Hum Brain Mapp       Date:  2001-02       Impact factor: 5.038

Review 6.  Fetal magnetoencephalography: current progress and trends.

Authors:  Hubert Preissl; Curtis L Lowery; Hari Eswaran
Journal:  Exp Neurol       Date:  2004-11       Impact factor: 5.330

7.  Localization of brain electrical activity via linearly constrained minimum variance spatial filtering.

Authors:  B D Van Veen; W van Drongelen; M Yuchtman; A Suzuki
Journal:  IEEE Trans Biomed Eng       Date:  1997-09       Impact factor: 4.538

8.  Basic mathematical and electromagnetic concepts of the biomagnetic inverse problem.

Authors:  J Sarvas
Journal:  Phys Med Biol       Date:  1987-01       Impact factor: 3.609

9.  Accuracy of an electromagnetic tracking device: a study of the optimal range and metal interference.

Authors:  A D Milne; D G Chess; J A Johnson; G J King
Journal:  J Biomech       Date:  1996-06       Impact factor: 2.712

10.  Fetal MEG evoked response latency from beamformer with random field theory.

Authors:  J McCubbin; J Vrba; P Murphy; J Temple; H Eswaran; C L Lowery; H Preissl
Journal:  Neuroimage       Date:  2009-08-15       Impact factor: 6.556

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  2 in total

1.  Removal of interference from fetal MEG by frequency dependent subtraction.

Authors:  J Vrba; J McCubbin; R B Govindan; S Vairavan; P Murphy; H Preissl; C L Lowery; H Eswaran
Journal:  Neuroimage       Date:  2011-09-10       Impact factor: 6.556

Review 2.  Exploring early human brain development with structural and physiological neuroimaging.

Authors:  Lana Vasung; Esra Abaci Turk; Silvina L Ferradal; Jason Sutin; Jeffrey N Stout; Banu Ahtam; Pei-Yi Lin; P Ellen Grant
Journal:  Neuroimage       Date:  2018-07-21       Impact factor: 6.556

  2 in total

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