论文标题
准备fMRI数据进行统计分析
Preparing fMRI Data for Statistical Analysis
论文作者
论文摘要
本章介绍了用于准备fMRI数据进行统计分析的几个程序。它包括对常见的预处理步骤的描述，例如空间重新调整，核心分配和空间正常化，旨在旨在在主题和受试者之间进行空间对齐，以及几个旨在最小化常见噪声源的影响，包括生理噪声和残留的物理学信号时间效果，旨在最小化大胆的信号时间系列，旨在最小化大胆的噪声源的影响。本章以质量控制程序的描述结束，建议用于检测fMRI数据中的潜在问题，并评估其对后续统计分析的适用性。
This chapter describes several procedures used to prepare fMRI data for statistical analyses. It includes the description of common preprocessing steps, such as spatial realignment, coregistration, and spatial normalization, aimed at the spatial alignment of all fMRI data within- and between- subjects, as well as several denoising procedures aimed at minimizing the impact of common noise sources, including physiological and residual subject motion effects, on the BOLD signal time series. The chapter ends with a description of quality control procedures recommended for detecting potential problems in the fMRI data and evaluating its suitability for subsequent statistical analyses.
