<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Fmri on 桑峰</title><link>https://isangfeng.github.io/tags/fmri/</link><description>Recent content in Fmri on 桑峰</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><copyright>© 2026 桑峰</copyright><lastBuildDate>Wed, 05 May 2021 00:00:00 +0000</lastBuildDate><atom:link href="https://isangfeng.github.io/tags/fmri/index.xml" rel="self" type="application/rss+xml"/><item><title>文献笔记-大脑功能网络的分离与整合</title><link>https://isangfeng.github.io/posts/2021/2021-05-05-papernote-segregated/</link><pubDate>Wed, 05 May 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-05-05-papernote-segregated/</guid><description>&lt;h3 class="relative group"&gt;Title
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&lt;blockquote&gt;&lt;p&gt;Segregated systems of human brain networks&lt;/p&gt;</description></item><item><title>文献笔记-抑郁症大脑功能网络拓扑属性的改变</title><link>https://isangfeng.github.io/posts/2021/2021-04-16-papernote/</link><pubDate>Fri, 16 Apr 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-04-16-papernote/</guid><description>&lt;h3 class="relative group"&gt;Title
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&lt;blockquote&gt;&lt;p&gt;Disrupted Brain Connectivity Networks in Drug-Naive, First-Episode Major Depressive Disorder&lt;/p&gt;</description></item><item><title>fMRI上广义线性模型建模简述</title><link>https://isangfeng.github.io/posts/2021/2021-04-09-fmriglm/</link><pubDate>Fri, 09 Apr 2021 00:00:00 +0000</pubDate><guid>https://isangfeng.github.io/posts/2021/2021-04-09-fmriglm/</guid><description>&lt;p&gt;在对&lt;strong&gt;fMRI&lt;/strong&gt;数据，尤其是&lt;strong&gt;task-fMRI&lt;/strong&gt;数据进行分析的时候，利用广义线性模型进行建模是很重要的一步。这里简单记录一下自己关于这部分的理解。&lt;/p&gt;</description></item></channel></rss>