How to get the subject level results of multi-sessions?

AFNI Message Board
1

Dear experts:
I have collected four subjects of taste fmri, and each subjects tasted bitter,saly,sour,sweet,umami in a run.Each stimulus repeated six times in a run and every session includes six runs.In addition,each subjects took the same taste fmri experiment five times.After I used GLM model to fit this taste fmri data of each session ,each session produced a statistic results of five taste estimate effects.My question is that:If I want to get the subject level results using the five sessions’ statistic results ,can I use the 3dmema or 3dttest to analyze the five sessions’ data of each subject,so I will get the subject level results combing the five sessions’ results.In addition,how can I analyze the 5 tastes at the group level? It is really a difficult thing for me .
Thanks for your help.

2

If all the data across sessions are spatially aligned, you can put all the data for each subject into one regression model through afni_proc.py or 3dDeconvolve and obtain one effect estimate per taste at the subject level.

3

Thanks for your help,Is there any paper putting all the data for each subject into one regression model ,As you said,dose it mean that all these pb04.Pilot1.r01.scale+orig.HEAD should align to the same 3DT1 space,then use the 3dDeconvolve regress the 6*5=30 scaled files.

4

dose it mean that all these pb04.Pilot1.r01.scale+orig.HEAD should align to the same 3DT1 space,then use the 3dDeconvolve regress the 6*5=30 scaled files.

Ideally all the data should be aligned to the same template in the standard space before you feed them to the subject-level regression model.