Skip to content

Commit

Permalink
Update readme for memes3
Browse files Browse the repository at this point in the history
  • Loading branch information
neurofractal committed Oct 8, 2018
1 parent cbbb4d2 commit 00de118
Showing 1 changed file with 2 additions and 4 deletions.
6 changes: 2 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,5 +1,5 @@
# MEMES
**MRI Estimation for MEG Sourcespace (MEMES)** is a set of tools for estimating an appropriate structural MRI for MEG source analysis in Fieldtrip and/or SPM.
**MRI Estimation for MEG Sourcespace (MEMES)** is a set of tools for estimating an appropriate structural MRI for MEG source analysis in Fieldtrip and/or SPM.

These set of scripts are customised for data acquired from the [Macquarie/KIT MEG laboratory](https://www.mq.edu.au/research/research-centres-groups-and-facilities/healthy-people/facilities/meg) using a 160-channel Yokogawa MEG system for adults and 125-channel Yokogawa MEG system for children.

Expand All @@ -21,7 +21,7 @@ The code selects the most appropriate MRI to estimate a singleshell headmodel an

### Adult MEMES

Use MEMES2.m in conjunction with a database of meshes, headmodels and sourcemodels from the [Human Connectome Project (HCP)](https://db.humanconnectome.org) (MEG data).
Use MEMES3.m in conjunction with a database of meshes, headmodels and sourcemodels from the [Human Connectome Project (HCP)](https://db.humanconnectome.org) (MEG data).

The results seem promising, with only very minor differences to the patterns/peaks of source localistion compared to real anatomical MRIs

Expand All @@ -40,5 +40,3 @@ The results seem promising, with successful localisation of auditory tones to bi
- Validate with larger dataset
- Ground truth?
- Average over first 10 (or so) best fitting MRIs?
- Add scaling to child_MEMES

0 comments on commit 00de118

Please sign in to comment.