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Artifacts in Simultaneous hdEEG/fMRI Imaging: A Nonlinear Dimensionality Reduction Approach

機譯：同時HDEEG / FMRI成像中的偽影：非線性維度減少方法

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Simultaneous recordings of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) are at the forefront of technologies of interest to physicians and scientists because they combine the benefits of both modalities—better time resolution (hdEEG) and space resolution (fMRI). However, EEG measurements in the scanner contain an electromagnetic field that is induced in leads as a result of gradient switching slight head movements and vibrations, and it is corrupted by changes in the measured potential because of the Hall phenomenon. The aim of this study is to design and test a methodology for inspecting hidden EEG structures with respect to artifacts. We propose a top-down strategy to obtain additional information that is not visible in a single recording. The time-domain independent component analysis algorithm was employed to obtain independent components and spatial weights. A nonlinear dimension reduction technique t-distributed stochastic neighbor embedding was used to create low-dimensional space, which was then partitioned using the density-based spatial clustering of applications with noise (DBSCAN). The relationships between the found data structure and the used criteria were investigated. As a result, we were able to extract information from the data structure regarding electrooculographic, electrocardiographic, electromyographic and gradient artifacts. This new methodology could facilitate the identification of artifacts and their residues from simultaneous EEG in fMRI.
機譯：腦電圖（EEG）和功能磁共振成像（FMRI）的同時記錄是醫(yī)生和科學家的感興趣技術的最前沿，因為它們結合了模型 - 更好的時間分辨率（HDEEG）和空間分辨率（FMRI）的益處。然而，掃描儀中的EEG測量值包含由于梯度切換輕微的頭部運動和振動而在引線中引起的電磁場，并且由于霍爾現(xiàn)象而被測量潛力的變化損壞。本研究的目的是設計和測試用于檢查隱藏腦電圖的方法的方法。我們提出了一項自上而下的策略，以獲得在單個錄音中不可見的其他信息。采用時域獨立分量分析算法來獲得獨立的組件和空間重量。非線性尺寸減小技術T分布式隨機鄰居嵌入嵌入嵌入的低維空間，然后使用具有噪聲（DBSCAN）的應用的基于密度的空間聚類來劃分的低維空間。研究了發(fā)現(xiàn)數(shù)據(jù)結構與所使用的標準之間的關系。結果，我們能夠從關于電劃線，心電圖，電拍攝和梯度偽影的數(shù)據(jù)結構中提取信息。這種新方法可以促進FMRI中同時腦電圖的偽影及其殘留物。

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