In-between and cross-frequency dependence-based summarization of resting-state fMRI data

Maziar Yaesoubi, Rogers F. Silva, V. Calhoun
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Abstract

Various data summarization approaches which consist of basis transformation and dimension reduction have been commonly used for information retrieval from brain imaging data including functional magnetic resonance imaging (fMRI). However, most approaches do not include frequency variation of the temporal data in the basis transformation. Here we propose a novel approach to incorporate in-between and cross-frequency dependence for summarization of resting-state fMRI data.
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基于中间和交叉频率依赖的静息状态fMRI数据汇总
从包括功能磁共振成像(fMRI)在内的脑成像数据中提取信息,常用的数据汇总方法包括基变换和降维。然而,大多数方法在基变换中不包括时间数据的频率变化。在这里,我们提出了一种新的方法来合并中间和交叉频率依赖,以总结静息状态fMRI数据。
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