diff --git a/README.md b/README.md index 7c966e3..5dd4ad8 100644 --- a/README.md +++ b/README.md @@ -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. @@ -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 @@ -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 -