# ISC on fMRI data and related problems

**URL:** <https://discourse.julialang.org/t/isc-on-fmri-data-and-related-problems/3945>\
**Category:** Data\
**Tags:** question\
**Created:** [May 26, 2017, 8:09pm UTC](https://discourse.julialang.org/t/isc-on-fmri-data-and-related-problems/3945 "2017-05-26T20:09:04Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![AShedko](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ashedko/32/1082_2.png) [@AShedko](https://discourse.julialang.org/u/AShedko)\
**Post date:** [May 26, 2017, 8:09pm UTC](https://discourse.julialang.org/t/isc-on-fmri-data-and-related-problems/3945/1 "2017-05-26T20:09:04Z")

</div>

ISC (inter-subject correlation) is a medical imaging method that gives you the segments of the brain that behave similarly when under similar stimuli.

I am essentially calculating a voxelwise correlation of a bunch of 5 MB files across 29 folders and I`m running into performance issues. I tried the Dagger module, but It didn’t go well.

* * *

The code is in this repo if you have some suggestions [https://github.com/AShedko/fMRI\_ISC\_classify/tree/master/Jthing](https://github.com/AShedko/fMRI_ISC_classify/tree/master/Jthing)  
Although it`s useless without the data and there is 150 gigs of it