Concatenate time-series across runs

Submitted by NinaGoossens on
Forums

Dear experts, 

We performed three separate fMRI runs, during which we applied muscle vibration at 60 Hz and at 20 Hz in blocks of 18s, which were separated by 18s blocks of rest (no vibration). Each block is preceded by a short verbal instruction (3s, 1 scan). By contrasting 60 Hz to 20 Hz vibration, we determine brain activation during proprioceptive processing.

ADHD datasets for 3 dimensional neural network predicting model

Submitted by Yasu on
Hi
 
My name is Yasuyuki Okubo and I'm building 3 dimensional convolutional neural network predicting model inspired by the paper below.
 
https://ieeexplore.ieee.org/document/8067637/all-figures
 
From this site, I reached R-fMAPs project for the datasets and succussfully downloaded the ADHD datasets for ADHD200 (4.

define new ROI

Submitted by saba amiri on

Hi

I tried  via define ROI > others ROI> MASK   added  BrainnetomeAtlas_BNA_MPM_thr25_1.25mm.nii   but FC folder in result folder are mistak result  for exampel ROIcorrelation sholde 246*246 Matrix but result me 255*1   and  not exsist  FC regions .

Thank you for helping me where is the problem 

seed based FC

Submitted by whtuye on

各位好:

      运用DPABI 处理静息态fMRI 数据,得到了ReHo 图,双样本t检验得出两组差异脑区(岛叶),按照文献的做法,以差异脑区(岛叶)为种子点,做seed-based Functional Connectivity (FC),

DPABI一直报错

    我自己的做法如下;

     1.将差异脑区(岛叶)在DPABI VIEW 界面存为MASK

    2 进入DPARSFA界面 ,选择"Functional connectivity" 和“extract ROI time course”   弹出ROI tempalte 对话框,选择 Define other ROI, 弹出ROI list 对话框, 选择+Mask 选择  岛叶 mask.nii 文件

   但一直报错。