search

learn-neuroimaging / hitchhackers_guide_brain

A list of tutorials and other resources useful to learn open science and neuroimaging, EEG and MEG
https://learn-neuroimaging.github.io/hitchhackers_guide_brain/
Other
114 stars 42 forks source link

Pipeline - Automatic Analysis #144

Closed tiborauer closed 3 years ago

tiborauer commented 3 years ago

Pipeline "Automatic Analysis - multimodal MATLAB toolbox processing fMRI, DTI/DKI, and M/EEG"

Remi-Gau commented 3 years ago

Thanks @tiborauer

see PR #145 (forgot to add the links: will fix that now)

I am adding it into the MRI software: do you want me to create duplicate in MEEG softwares too?

tiborauer commented 3 years ago

Yes, please. The M/EEG section is a recent addition.

tiborauer commented 3 years ago

The page is a really nice primer, BTW. :)

Remi-Gau commented 3 years ago

The page is a really nice primer, BTW. :) Thanks. :smile:

The power of crowd sourcing. :mechanical_arm:

Though I tend to only see the stuff to do on this project and I forget about the stuff that thas already been done.

By the way, maybe you know this: do you know if nipype can deal with EEG / MEG stuff? It does include MNE and a couple of other things, no?

Asking because I figured that I might as well create a copy of the nipype entry for EEG / MEG.

Though maybe even smarter would be to create a separate page for pipelines (either existing ones like fMRIprep) of for tools to create them (AA, nipype...)

What's your take on this?

Remi-Gau commented 3 years ago

@all-contributors please add @tiborauer for content ideas

allcontributors[bot] commented 3 years ago

@Remi-Gau

I've put up a pull request to add @tiborauer! :tada:

tiborauer commented 3 years ago

Yes, AFAIK, nipype has interfaces for MNE and SPM (which can also process M/EEG); however, I have never used them and do not know their granularity; i.e. whether there are specific submodules for steps or you have to create a sub-workflow which is executed as a whole.

I certainly support creating a separate page for pipelines because they are often modality-independent and/or support different sets of modalities and features.

(P.S.: Automatic Analysis is abbreviated as aa to avoid cross-referencing with Alcoholics Anonymous in the US and Automobile Association in the UK :)).