Hello
I’m attempting to analysis diffusion MRI using TRACULA.
As mentioned on article "Spurious group differences due to head motion in a diffusion MRI study", I tried to calculate TMI(total motion index) first.
The problem is that, upper and lower quartile of Percent Bad Slices are both 0. Upper and lower quartile of avg dropout score are both 1. Calculating TMI on some subjects using those values figured out at questionable results because difference of upper and lower quartile values is used as denominator in formula.
I those cases, should I exclude Percent Bad slices and avg dropout score calculating TMI?
Does anyone have any thoughts on it?
Thanks in advance.
Hi - Yes, it sounds like there is no drop-out in your data, so there is no reason to use drop-out measures to compare across subjects.
Best,
a.y
On 8/30/17, 1:34 AM, "freesurfer-bounces@nmr.mgh.harvard.edu on behalf of 이 정환" <freesurfer-bounces@nmr.mgh.harvard.edu on behalf of ssedis@me.com> wrote:
Hello
I’m attempting to analysis diffusion MRI using TRACULA.
As mentioned on article "Spurious group differences due to head motion in a diffusion MRI study", I tried to calculate TMI(total motion index) first.
The problem is that, upper and lower quartile of Percent Bad Slices are both 0. Upper and lower quartile of avg dropout score are both 1. Calculating TMI on some subjects using those values figured out at questionable results because difference of upper and lower quartile values is used as denominator in formula.
I those cases, should I exclude Percent Bad slices and avg dropout score calculating TMI?
Does anyone have any thoughts on it?
Thanks in advance.
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