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open-discussion > Z score, % of Voxels, # of voxels, MNI coordinates etc
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Jun 27, 2018 01:06 PM | Lorenzo Pia - University of Turin
Z score, % of Voxels, # of voxels, MNI coordinates etc
HI all
I remember i was able to obtain descriptive outputs of a give stat (e.g., Leibermeister). I added the file L.nii on AAL, then i select descriptives and i saw a txt with as header those info. On the contrary, now I see Index Name numVox numVoxNotZero fracNotZero peak min mean meanNotZero. I wonder whether i forgot some steps.
thanks a lot
I remember i was able to obtain descriptive outputs of a give stat (e.g., Leibermeister). I added the file L.nii on AAL, then i select descriptives and i saw a txt with as header those info. On the contrary, now I see Index Name numVox numVoxNotZero fracNotZero peak min mean meanNotZero. I wonder whether i forgot some steps.
thanks a lot
Jun 27, 2018 01:06 PM | Chris Rorden
RE: Z score, % of Voxels, # of voxels, MNI coordinates etc
Hello-
Note that NiiStat now directly computes the region of interest statistics for you
https://www.nitrc.org/plugins/mwiki/index.php/niistat:MainPage
As noted whenever you run NPM, I recommend using NiiStat. I am a full time scientist and can only support so many software projects in my spare time. I think NiiStat has many benefits over NPM. Since NPM is open source, you are free to adopt, maintain, extend is in any way you desire.
Note that NiiStat now directly computes the region of interest statistics for you
https://www.nitrc.org/plugins/mwiki/index.php/niistat:MainPage
As noted whenever you run NPM, I recommend using NiiStat. I am a full time scientist and can only support so many software projects in my spare time. I think NiiStat has many benefits over NPM. Since NPM is open source, you are free to adopt, maintain, extend is in any way you desire.
Jun 27, 2018 01:06 PM | Lorenzo Pia - University of Turin
RE: Z score, % of Voxels, # of voxels, MNI coordinates etc
Originally posted by Chris Rorden:
Hello-
Note that NiiStat now directly computes the region of interest statistics for you
https://www.nitrc.org/plugins/mwiki/index.php/niistat:MainPage
As noted whenever you run NPM, I recommend using NiiStat. I am a full time scientist and can only support so many software projects in my spare time. I think NiiStat has many benefits over NPM. Since NPM is open source, you are free to adopt, maintain, extend is in any way you desire.
Note that NiiStat now directly computes the region of interest statistics for you
https://www.nitrc.org/plugins/mwiki/index.php/niistat:MainPage
As noted whenever you run NPM, I recommend using NiiStat. I am a full time scientist and can only support so many software projects in my spare time. I think NiiStat has many benefits over NPM. Since NPM is open source, you are free to adopt, maintain, extend is in any way you desire.
Jun 28, 2018 09:06 AM | Lorenzo Pia - University of Turin
RE: Z score, % of Voxels, # of voxels, MNI coordinates etc
Originally posted by Lorenzo Pia:
Another Quick question, I used to work on a old matlab version but now i have the 2017 release. There are several new(and heavy) toolboxes. Which are the toolboxes that are barely required in this version.
Cheers
Originally posted by Chris Rorden:
Thanks
Hello-
Note that NiiStat now directly computes the region of interest statistics for you
https://www.nitrc.org/plugins/mwiki/index.php/niistat:MainPage
As noted whenever you run NPM, I recommend using NiiStat. I am a full time scientist and can only support so many software projects in my spare time. I think NiiStat has many benefits over NPM. Since NPM is open source, you are free to adopt, maintain, extend is in any way you desire.
Thansk a lot indeed, I will try,
However, if by chance I wold prefere NPM shluld i install an older
version?Note that NiiStat now directly computes the region of interest statistics for you
https://www.nitrc.org/plugins/mwiki/index.php/niistat:MainPage
As noted whenever you run NPM, I recommend using NiiStat. I am a full time scientist and can only support so many software projects in my spare time. I think NiiStat has many benefits over NPM. Since NPM is open source, you are free to adopt, maintain, extend is in any way you desire.
Thanks
Another Quick question, I used to work on a old matlab version but now i have the 2017 release. There are several new(and heavy) toolboxes. Which are the toolboxes that are barely required in this version.
Cheers