I would have a look at this file for the task design matrix:
${StudyFolder}/${Subject}/MNINonLinear/Results/${fMRIName}/${AnalysisName}.feat/design.mat
Not sure if it is released or if you have to run the task analysis pipeline to
generate it.
Peace,
Matt.
From:
<[email protected]<mailto:[email protected]>>
on behalf of Timothy Coalson <[email protected]<mailto:[email protected]>>
Date: Thursday, February 22, 2018 at 5:22 PM
To: Javier Zapata <[email protected]<mailto:[email protected]>>
Cc: "[email protected]<mailto:[email protected]>"
<[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] about interpreting EVs and .dtseries.nii files
On the technical end, cifti dtseries are arranges such that a row is a
timecourse - you will need to select columns rather than rows. wb_command
-cifti-merge can do this.
On the math side, I don't know the details needed to sync the EV files with the
dtseries (whether the 0s from the EVs match the 0s from the processed data),
but the typical task analysis uses the hemodynamic response function to
estimate the BOLD effect waveform to expect from the stimulus, rather than
simply chopping out the various segments.
Tim
On Thu, Feb 22, 2018 at 2:02 PM, Javier Zapata
<[email protected]<mailto:[email protected]>> wrote:
Dear Professors,
I am pretty new to task fMRI data and I would like to check how to use the
files in the EVs folder to extract information from the .dtseries.nii file for
the MOTOR dataset. As an example I chose subject 100307 with the LR phase and I
was able to build this table from the files in the EVs folder:
typestart time (s)
countdown0
cue_rightHand8.05
rightHand11.009
cue-leftFoot23.164
leftFoot 38.291
So suppose I would like to extract from a .dtseries.nii file (having 284 rows x
91282 grayordinates) the part of the time series corresponding to the Right
Hand task listed above. Then:
Should I pick all the rows covering the time interval [11.009;23.164] ?
If so, should I pick rows 15 through 33 from the .dtseries.nii file which cover
the time interval starting from 10.8 (=0.72*15) until 23.76(=0.72*33) ?
Moreover, does the same interpretation hold for obtaining the .dtseries.nii
rows corresponding to the cues and the fixation blocks?
Thank you very much,
Javier Zapata
---------------------------------
PhD Student
UC Santa Barbara
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