Literature DB >> 15551571

Reduction of brain noise influence in evoked neuromagnetic source localization using noise spatial correlation.

K Sekihara1, F Takeuchi, S Kuriki, H Koizumi.   

Abstract

In magnetoencephalographic measurements, magnetic fields caused by spontaneous brain activities not related to the neural activities under study are often referred to as brain noise. This is because the accuracy in neural source localization is considerably degraded by such spontaneous neuromagnetic fields. This paper reports the experimental results of applying the previously proposed noise covariance method to reducing the degradation caused by brain noise and to improving the accuracy in localizing auditory-evoked neural sources. Firstly we present the results of our experiments using measured brain noise and computer-generated signal fields. These results confirm that the covariance method can, in principle, improve the accuracy of evoked neural source localization. Next, the method was applied to source localization for actual neuromagnetic fields evoked by speech sounds. The results obtained strongly suggest that the method is effective in processing actual evoked neuromagnetic data.

Mesh:

Year:  1994        PMID: 15551571     DOI: 10.1088/0031-9155/39/6/002

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  2 in total

1.  Current Source Mapping by Spontaneous MEG and ECoG in Piglets Model.

Authors:  Lin Gao; Jue Wang; Julia Stephen; Tongsheng Zhang
Journal:  Biomed Signal Process Control       Date:  2015-09-09       Impact factor: 3.880

2.  Facilitating neuronal connectivity analysis of evoked responses by exposing local activity with principal component analysis preprocessing: simulation of evoked MEG.

Authors:  Lin Gao; Tongsheng Zhang; Jue Wang; Julia Stephen
Journal:  Brain Topogr       Date:  2012-08-24       Impact factor: 3.020

  2 in total

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