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使用噪声空间不变性进行 MEG 源定位。

MEG source localization using invariance of noise space.

机构信息

Key Laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, China.

出版信息

PLoS One. 2013;8(3):e58408. doi: 10.1371/journal.pone.0058408. Epub 2013 Mar 7.

DOI:10.1371/journal.pone.0058408
PMID:23505502
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3591341/
Abstract

We propose INvariance of Noise (INN) space as a novel method for source localization of magnetoencephalography (MEG) data. The method is based on the fact that modulations of source strengths across time change the energy in signal subspace but leave the noise subspace invariant. We compare INN with classical MUSIC, RAP-MUSIC, and beamformer approaches using simulated data while varying signal-to-noise ratios as well as distance and temporal correlation between two sources. We also demonstrate the utility of INN with actual auditory evoked MEG responses in eight subjects. In all cases, INN performed well, especially when the sources were closely spaced, highly correlated, or one source was considerably stronger than the other.

摘要

我们提出了噪声不变（INN）空间作为一种新的方法，用于脑磁图（MEG）数据的源定位。该方法基于这样一个事实，即源强度随时间的调制会改变信号子空间中的能量，但保持噪声子空间不变。我们使用模拟数据比较了 INN 与经典 MUSIC、RAP-MUSIC 和波束形成方法，同时改变了信噪比以及两个源之间的距离和时间相关性。我们还在 8 个受试者的实际听觉诱发 MEG 反应中展示了 INN 的效用。在所有情况下，INN 都表现良好，尤其是当源非常接近、高度相关或一个源比另一个源强得多时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/bdf950d8effc/pone.0058408.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/c35e4d4fd6ff/pone.0058408.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/4ff2dbaf6674/pone.0058408.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/fba065c91b8e/pone.0058408.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/2d1cad9a4f06/pone.0058408.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/6e8f36c34122/pone.0058408.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/f64a63824f2f/pone.0058408.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/868273e6c322/pone.0058408.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/8adb36720b46/pone.0058408.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/6b351fff506e/pone.0058408.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/bdf950d8effc/pone.0058408.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/c35e4d4fd6ff/pone.0058408.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/4ff2dbaf6674/pone.0058408.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/fba065c91b8e/pone.0058408.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/2d1cad9a4f06/pone.0058408.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/6e8f36c34122/pone.0058408.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/f64a63824f2f/pone.0058408.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/868273e6c322/pone.0058408.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/8adb36720b46/pone.0058408.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/6b351fff506e/pone.0058408.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba8d/3591341/bdf950d8effc/pone.0058408.g010.jpg

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