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基于脑磁图数据频率模式分析的人类大脑自发活动重建

Reconstruction of human brain spontaneous activity based on frequency-pattern analysis of magnetoencephalography data.

作者信息

Llinás Rodolfo R, Ustinin Mikhail N, Rykunov Stanislav D, Boyko Anna I, Sychev Vyacheslav V, Walton Kerry D, Rabello Guilherme M, Garcia John

机构信息

Department of Neuroscience and Physiology, New York University School of Medicine New York, NY, USA.

Institute of Mathematical Problems of Biology, Russian Academy of Sciences Pushchino, Russia.

出版信息

Front Neurosci. 2015 Oct 16;9:373. doi: 10.3389/fnins.2015.00373. eCollection 2015.

Abstract

A new method for the analysis and localization of brain activity has been developed, based on multichannel magnetic field recordings, over minutes, superimposed on the MRI of the individual. Here, a high resolution Fourier Transform is obtained over the entire recording period, leading to a detailed multi-frequency spectrum. Further analysis implements a total decomposition of the frequency components into functionally invariant entities, each having an invariant field pattern localizable in recording space. The method, addressed as functional tomography, makes it possible to find the distribution of magnetic field sources in space. Here, the method is applied to the analysis of simulated data, to oscillating signals activating a physical current dipoles phantom, and to recordings of spontaneous brain activity in 10 healthy adults. In the analysis of simulated data, 61 dipoles are localized with 0.7 mm precision. Concerning the physical phantom the method is able to localize three simultaneously activated current dipoles with 1 mm precision. Spatial resolution 3 mm was attained when localizing spontaneous alpha rhythm activity in 10 healthy adults, where the alpha peak was specified for each subject individually. Co-registration of the functional tomograms with each subject's head MRI localized alpha range activity to the occipital and/or posterior parietal brain region. This is the first application of this new functional tomography to human brain activity. The method successfully provides an overall view of brain electrical activity, a detailed spectral description and, combined with MRI, the localization of sources in anatomical brain space.

摘要

一种基于多通道磁场记录的大脑活动分析与定位新方法已被开发出来。该方法在数分钟内对个体的磁共振成像(MRI)进行叠加记录,在此期间可获得整个记录周期的高分辨率傅里叶变换,从而得到详细的多频谱。进一步分析将频率成分完全分解为功能不变的实体,每个实体在记录空间中都有可定位的不变场模式。这种被称为功能断层扫描的方法能够确定空间中磁场源的分布。在此,该方法被应用于模拟数据的分析、激活物理电流偶极子模型的振荡信号分析以及10名健康成年人的自发脑活动记录分析。在模拟数据分析中,61个偶极子的定位精度达到0.7毫米。对于物理模型,该方法能够以1毫米的精度定位三个同时激活的电流偶极子。在定位10名健康成年人的自发阿尔法节律活动时,空间分辨率达到3毫米,其中为每个受试者单独确定了阿尔法峰值。功能断层扫描图与每个受试者的头部MRI进行配准,将阿尔法范围的活动定位到枕叶和/或顶叶后部脑区。这是这种新的功能断层扫描首次应用于人类大脑活动。该方法成功地提供了大脑电活动的整体视图、详细的频谱描述,并结合MRI实现了解剖学脑空间中源的定位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/78fc/4608363/53331e0118d5/fnins-09-00373-g0001.jpg

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