rest无法读入数据
Submitted by 精进不休 on Tue, 04/08/2014 - 09:37
最近两天，用rest做functional connectivity 一直无法读入数据，添加数据后也是变绿色，但是就是不显示数据，请问这是怎么回事，谢谢。。
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April 2014
Dynamic brain connectome analysis toolbox
Submitted by Wei Liao on Tue, 04/08/2014 - 08:25
Dynamic brain connectome (DynamicBC) analysis toolbox is a Matlab toolbox to calculate Dynamic Functional Connectivity (d-FC) and Dynamic Effective Connectivity (d-EC). Sliding window analysis (Bivariate Pearson correlation and Granger causality) and time varying parameter regression method (Flexible Least Squares) are two dynamic analysis strategies for time-variant connectivity analysis in the DynamicBC. Granger causality density/strength (GCD/GCS) and functional connectivity density/strength (FCD/FCS) analysis would be performed in this toolbox. Add DynamicBC's directory to MATLAB's path and enter "DynamicBC" in the command window of MATLAB to enjoy it.
The latest release is DynamicBC2.2_20181112
Manual could also be downloaded here.
New features of DynamicBC 2.0 release 20180311:
New features of DynamicBC2.2 release 20181112:
--Added a visualization module for connectogram.
--Added a demo for visualization a connectogram.
--Added new feature for cluster number estimation.
--Fixed a bug for clustering the ALFF maps.
New features of DynamicBC 2.0 release 20180311:
--Fixed minor bugs in the Clustering module.
New features of DynamicBC 2.0 release 20171228:
1. Changed the toolbox cover.
2. Added the new module for dynamic intrinsic brain activity (dynamic ALFF).
New features of DynamicBC 1.2 release 20160415:
Fixed the step bugs when selecting window size.
New features of DynamicBC 1.1 release 20140710:
1. Added the new utilties including the ‘Clustering’ and 'Spectrum' for dynamic FC/EC time series.
2. Added the new output of variance of dynamic FC/EC time series.
New features of DynamicBC 1.0 release 20140429:
This release fixed some minor bugs in dynamic FCD.
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gift成分导出
Submitted by linxiao on Tue, 04/08/2014 - 07:39
请问张老师，在GIFT里面如何将成分导出来呢？
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ReHo and ALFF/fALFF: multiple runs for each subject
Submitted by stef on Mon, 04/07/2014 - 23:38
Dear experts,
I'm quite new with the toolkit REST,
and I have a doubt:
I have two groups (paitents-healthy controls) and I have 2 resting-state runs for each subject.
Once I performed ReHo (and ALFF/fALFF) calculation for each single run,
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关于功能连接结果的解释
Submitted by Learner--ECNU on Mon, 04/07/2014 - 18:40
各位老师好：
我使用静息态的数据做功能连接，利用Voxel-based的方法研究M1区的功能连接，种子点选择左右两侧的M1区，出来的全脑功能连接图取了阈值之后总是会出现两侧的枕叶区域，我们的数据都是闭眼扫静息态的，我查的做运动功能连接的文献里面基本上都没提到枕叶区域，不知道是他们的结果就没枕叶还是他们没报道。在我矫正很严格的情况下枕叶还是存在，不知该如何解释这种情况？是不是比如我只关心和运动相关的脑区，但是出来一些明显和运动无关的脑区可以不用报出来或解释，请指导~~
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核磁扫描数据
Submitted by houyanan on Mon, 04/07/2014 - 11:09
大家好！我想请教各位老师，怎样才能分出扫描顺序呢？
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关于扫描顺序的识别
Submitted by houyanan on Mon, 04/07/2014 - 11:00
大家好！我是一名刚开始接触resting-state fMRI 的学生，我这里有一些核磁数据，但不知道怎么分出是自上而下扫的还是相反方向，也分不出是隔层扫的还是顺序扫的，我想请教大家有没有什么软件之类的可以自动分出。
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REST Image Calculate flip 出错
Submitted by yubing on Mon, 04/07/2014 - 08:38
Error using flipud (line 19)
X must be a 2-D matrix.
Error in rest_ImgCal_gui>img_cal (line 481)
eval(['Y = ' f ';']);
Error in rest_ImgCal_gui>btnCompute_Callback (line 228)
img_cal(OutDir,OutPut,Function,Gmag,data);
Error in gui_mainfcn (line 96)
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DPARSFA2.3 and degree centrality
Submitted by jinling on Thu, 04/03/2014 - 16:21
各位老师好：
请问DPARSFA最新版本计算degree cenrality得到的是global FCD还是local FCD？
另外，network centrality与node centrality 或nodal centrality是否为同义词？
感谢您的热心解答。
Xiao-dong Zhang
jinling hospital
2014-4-3
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ICA结果后处理
Submitted by Learner--ECNU on Thu, 04/03/2014 - 08:57
张老师你好：
我有两个问题想咨询下
- 1、 我现在有两组数据，正常对照组和病人组，我使用MICA已经处理完数据，并且已经从正常对照组的成分中找出对应的8个RSN，要比较两组被试某个RSN的差异，我想问下，病人的8个RSN所对应的成分是否就和正常对照组的成分一样（在处理数据时两组设置的成分数一样的），还是两组被试各找各的RSN所对应的成分？
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