Submitted by wzm2256 on Thu, 01/15/2015 - 13:57
It's my first time deal with ROIsignals, they are provided by my partner, but to my suprise, the signals have little variance, the time series look like 100 101 99 101 102 ,something like that, is that ordinary? or is there anything wrong?
Submitted by LiXun on Fri, 01/16/2015 - 16:49 Permalink
Re: what do ROIsignals usually look like?
There should be more information about your data. I can't get a conclusion just from these numbers.
Submitted by wzm2256 on Thu, 01/22/2015 - 20:55 Permalink
Re: what do ROIsignals usually look like?
ok，
数据文件后附带一个 readme 文档：
数据预处理使用DPARSF V2.3_130615（基于REST V1.8_130615和SPM8）。
经过Slice timing, Realign, Normalize, Smooth处理。
其中normalize采用EPI模板，脑区（ROI）定义采用aal模板
比如一号脑区，数据为
776.762331838565
776.533632286996
777.295964125561
778.237668161435
777.042600896861
778.690582959641
779.325112107623
780.056053811659
778.903587443946
776.912556053812
777.170403587444
776.246636771301
777.961883408072
776.665919282511
778.430493273543
775.912556053812
........
每两秒一次测量，我的疑惑是，这种差距如此小的数据，能不能反应大脑活动的变化？是否是预处理的时候出了问题（比如错误的归一化），或者是数据测的就有问题？还是说一切正常
thanks for your patience
Submitted by LiXun on Fri, 01/23/2015 - 21:35 Permalink
Re: what do ROIsignals usually look like?
数据是正常的。