基于激光散斑对比成像的功能激活检测的分析与可视化方法。
Analysis and visualization methods for detecting functional activation using laser speckle contrast imaging.
机构信息
University of Electronic Science & Technology of China, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Laboratory for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
University of Electronic Science & Technology of China, Sichuan Institute Brain Science & Brain Inspired Intelligence, Chengdu, China.
出版信息
Microcirculation. 2022 Oct;29(6-7):e12783. doi: 10.1111/micc.12783. Epub 2022 Sep 21.
BACKGROUND
Previous studies have used regional cerebral blood flow (CBF) hemodynamic response to measure brain activities. In this work, we use a laser speckle contrast imaging (LSCI) apparatus to sample the CBF activation in somatosensory cortex (S1BF) with repetitive whisker stimulation. Traditionally, the CBF activations were processed by depicting the change percentage above baseline; however, it is not clear how different methods influence the detection of activations.
AIMS
Thus, in this work we investigate the influence of different methods to detect activations in LSCI.
MATERIALS & METHODS: First, principal component analysis (PCA) was performed to denoise the CBF signal. As the signal of the first principal component (PC1) showed the highest correlation with the S1BF CBF response curve, PC1 was used in the subsequent analyses. Then, we used fast Fourier transform (FFT) to evaluate the frequency properties of the LSCI images and the activation map was generated based on the amplitude of the central frequency. Furthermore, Pearson's correlation coefficient (C-C) analysis and a general linear model (GLM) were performed to estimate the S1BF activation based on the time series of PC1.
RESULTS
We found that GLM performed better in identifying activation than C-C. Additionally, the activation maps generated by FFT were similar to those obtained by GLM. Particularly, the superficial vein and arterial vessels separated the activation region as segmented activated areas, and the regions with unresolved vessels showed a common activation for whisker stimulation.
DISCUSSION AND CONCLUSION
Our research analyzed the extent to which PCA can extract meaningful information from the signal and we compared the performance for detecting brain functional activation between different methods that rely on LSCI. This can be used as a reference for LSCI researchers on choosing the best method to estimate brain activation.
背景
先前的研究使用局部脑血流（CBF）血液动力学反应来测量大脑活动。在这项工作中，我们使用激光散斑对比成像（LSCI）设备，通过重复的胡须刺激来采样躯体感觉皮层（S1BF）的 CBF 激活。传统上，通过描绘基线以上的变化百分比来处理 CBF 激活；然而，不同的方法如何影响激活的检测尚不清楚。
目的
因此，在这项工作中，我们研究了不同方法在 LSCI 中检测激活的影响。
材料和方法
首先，进行主成分分析（PCA）以对 CBF 信号进行去噪。由于第一主成分（PC1）的信号与 S1BF CBF 响应曲线相关性最高，因此在后续分析中使用 PC1。然后，我们使用快速傅里叶变换（FFT）来评估 LSCI 图像的频率特性，并根据中心频率的幅度生成激活图。此外，还进行了 Pearson 相关系数（C-C）分析和广义线性模型（GLM），以基于 PC1 的时间序列估计 S1BF 激活。
结果
我们发现 GLM 在识别激活方面比 C-C 表现更好。此外，FFT 生成的激活图与 GLM 获得的激活图相似。特别是，浅层静脉和动脉血管将激活区域分开，作为分割的激活区域，而未解决血管的区域显示出对胡须刺激的共同激活。
讨论与结论
我们的研究分析了 PCA 从信号中提取有意义信息的程度，并比较了基于 LSCI 的不同检测大脑功能激活方法的性能。这可以作为 LSCI 研究人员选择估计大脑激活的最佳方法的参考。
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