关于fmri里的建模，GLM的first level analysis 和second level analysis

最新推荐文章于 2024-11-14 10:02:22 发布

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最新推荐文章于 2024-11-14 10:02:22 发布 · 2.6k 阅读

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GLM（一般线性模型）常用于时间序列分析，包括第一级分析和第二级分析。第一级分析关注单个受试者数据，评估每个预测变量对观察值的贡献；第二级分析结合多个受试者的结果，探究共同性和稳定性。固定效应模型假设同一状态下的激活模式相同，但不考虑被试间差异，因此在实际应用中不太常见。随机和混合效应模型则考虑了被试间差异，更适用于总体水平的推论。最后，通过评估激活的空间分布而非单个体素，可以揭示信息表征模式，对认知神经科学具有重要意义。

Introduce the first level analysis and second level analysis in GLM (genereal linear model )
GLM is used in time series mostly.
ANNOTION: GLM IS USED FOR TASK DESIGN ONLY.
description from wiki:
Following pre-processing, data analysis is often carried in two steps: a separate first-level analysis of data from each individual subject, followed by a second-level analysis in which results from multiple subjects are combined.

Simply speaking, the first-level analysis could be known as the analysis in single-subject, most of this type trials are task fmri design. So that the second level analysis is the analysis in multiple subjects, or can be told the group analysis of single subjects.

For GLM
GLM, general nilearn model.
For single subjec, to investigate the association between volumes and predictor variables, we set up a GLM model to fit that. The format are as follow: