大脑的fMRI-BOLD信号频谱能量随着频率的提高,逐渐降低。绝大多数的fMRI研究关注于<0.1Hz的低频信号,然而高频信号也有生理、病理意义,值得我们进一步去探索。为了描述BOLD信号频谱能量随频率提高而降低的特点,我们采用基于线性以及power-law函数的拟合斜率。我们在睁眼-闭眼数据中发现,感觉运动区、丘脑、视觉区等脑区的信号频谱斜率在两种状态下存在明显差异。为了方便推广使用,我们基于MATLAB以及RESTplus平台开发出了PSS工具包。如果大家有任何问题,欢迎在本帖留言,您也直接联系我们:zangzx416@gmail.com, zangzx416@outlook.com
The magnitude of the power spectrum of fMRI-BOLD signal in the human brain decreases with increasing frequency. While the majority of fMRI studies focused on the low frequency band (< 0.1 Hz), the relatively high frequency fluctuations also reflect neurobiological and pathological mechanisms. Therefore, we implemented the PSS toolkit (power spectrum slope) based on MATLAB and RESTplus, which outputs the regression coefficient (linear and power-law) of fMRI power spectrum against the increasing frequency bins. If you have any questions, don’t hesitate to contact us: zangzx416@gmail.com, zangzx416@outlook.com
Zhenxiang Zang, Yang Qiao, Shaozhen Yan and Jie Lu. Reliability and validity of power spectrum slope (PSS): a metric for measuring resting-state fMRI activity of single voxels, DOI: 10.3389/fnins.2022.871609
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DOWNLOAD PSS_GUI_Vbeta0.9 | 29.92 KB |
DOWNLOAD PSS 用户手册 | 544.4 KB |