mne-tools / mne-tools/mne-python

Add support for Volume Source Spaces in simulation code

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Python
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Description

Setup

I have a Volume source set up, with accompanying forward solution and inverse operator. Trying to make sense of my code, I wanted to make up some simulated raw data by generating a VolSourceEstimate or VolVectorSourceEstimate instance, and applying my forward operator on it.

Problem

After gitter-chat with some nice people, it is clear that the mne.simulation namespace does not contain functions that can work with volume source spaces. Also, mne.forward.apply_forward_raw can neither be applied to VolSourceEstimate (forward non-linear in that case, thus difficult to implement, I guess) nor to VolVectorSourceEstimate (which should be easier to deal with).

Proposed solution

Add support for volume source spaces in the mne.simulation namespace, with similar function as mne.simulation.simulate_stc, to simulate a volume source space.
This would be followed by a function similar to e.g. mne.simulation.simulate_raw, where one could generate the measured EEG/MEG signal induced by the simulated source estimates.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading mne.simulation.simulate_stc and mne.simulation.simulate_raw, then review mne.forward.apply_forward_raw and the VolSourceEstimate and VolVectorSourceEstimate cases described in the issue. Done means the simulation namespace supports volume source spaces and can generate measured EEG/MEG signals from simulated volume source estimates.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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