To call the FEAT GUI, either type Feat in a terminal (type Feat_gui on Mac or Windows), or run fsl and press the FEAT button. Now set the filename of the 4D input image (e.g. /users/sibelius/origfunc.nii.gz) by pressing Select 4D data.

FEAT is a software tool for high quality model-based FMRI data analysis, with an easy-to-use graphical user interface (GUI). FEAT is part of FSL (FMRIB's Software Library).

FEAT工具多用于对task/res-fMRI数据进行预处理和统计分析 (1st、2st)，基于实验设计的复杂性与否可以自行选择自己定义的design matrix或是利用程序自动进行简单的矩阵生成进行GLM分析或是ICA。

FSL is a comprehensive library of analysis tools for FMRI, MRI and diffusion brain imaging data. It runs on macOS (Intel and M1/M2/M3), Linux, and Windows via the Windows Subsystem for Linux, and is very easy to install. Most of the tools can be run both from the command line and as GUIs ("point-and-click" graphical user interfaces).

This is made easy with FEAT, by saving the appropriate transformations inside the FEAT directories; the transformations are then applied when group statistics is carried out, to tranform any relevant statistic images into the common space.

配准 择Registration选项卡。默认情况下,FEAT将把中间时间点的FMRI 图像(在.feat输出目录中保存为example_func)� � 准到标准空间模板。我们建议通常打开Main structural image选项,以使低分辨率FMRI图像首先与来自同一被试者的大脑提取后的的高

2018年12月19日 · 本文介绍了FSL中的FEAT工具在功能磁共振影像分析中的应用，包括预处理步骤如从DICOM转NifTI、去除首帧、切片时间校正、头动修正和空间平滑等，并探讨了时间漂移滤波的重要性。

FSL （FMRIB Software Library）是一个广泛使用的 fMRI 数据分析 软件包，FSL 提供了一系列强大的工具，用于 预处理 、分析和可视化 fMRI 数据。 它支持多种分析方法，包括任务激活分析、独立成分分析（ICA）、种子点相关分析等。

FSL可以直接利用GUI界面完成fmri预处理步骤。 *. 将所有操作保存为design_run1.rsf文件。 将所有操作保存为design_run1,然后利用for循环可对所有被试进行同样的数据处理。

Perform a full first-level analysis of a single subject in an event-related language experiment. Use featquery to interrogate results of the previous analysis and extract ROI measurements. The dataset fmri.nii.gz is from a language experiment. The TR is 4.2 seconds. The experiment is event-related and has three different types of events: