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Jul 10, 2023
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Sccn.GitHub.io edit #92

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36e4850
Update EEG_sources.md
deepagupta Jul 2, 2023
c5383a9
Merge pull request #91 from sccn/deepagupta-patch-1
deepagupta Jul 2, 2023
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Update EEG_sources.md
arnodelorme Jul 10, 2023
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14 changes: 8 additions & 6 deletions tutorials/09_source/EEG_sources.md
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Expand Up @@ -5,7 +5,7 @@ long_title: c. EEG source model
parent: 9. Source analysis
grand_parent: Tutorials
---
Equivalent dipole source localization of EEG data
Equivalent dipole source localization of EEG or ERP data
========================================
{: .no_toc }

Expand All @@ -21,9 +21,9 @@ Equivalent dipole source localization of EEG data
Using DIPFIT to fit one dipole to EEG or ERP scalp maps
--------

Though the implementation of the DIPFIT plugin has not been expressly
designed to fit dipoles to raw ERP or EEG scalp maps, EEGLAB provides a
command-line function allowing DIPFIT to do so. Fitting may only be
EEGLAB provides a command-line implementation of the [DIPFIT plugin](https://github.com/sccn/dipfit) to fit
dipoles to raw ERP or EEG scalp maps that has otherwise not been
expressly designed anywhere else. Fitting may only be
performed at selected time points, not throughout a time window. First,
you must specify the DIPFIT settings on the selected dataset. Then, to fit a
time point at 100 ms in an average ERP waveform (for example) from the
Expand Down Expand Up @@ -67,7 +67,7 @@ Its graphical output is the same as the script shown in the next section.
Advanced source reconstruction using DIPFIT/Fieldtrip
--------

DIPFIT relies on Fieldtrip, though in fact, DIPFIT was also an ancestor
Background: DIPFIT relies on Fieldtrip, though in fact, DIPFIT was also an ancestor
of Fieldtrip: when Robert Oostenveld, the first Fieldtrip developer,
decided to release source imaging functions he had developed during his
dissertation work, he first packaged them in EEGLAB as DIPFIT. A few
Expand All @@ -78,7 +78,7 @@ maintained for use in Fieldtrip. Below is a short tutorial on how to
perform source modeling using Fieldtrip applied to data in an EEGLAB
dataset.

First, use DIPFIT to align the electrode
Implementation: First, use DIPFIT to align the electrode
locations with a head model of choice (menu item <span style="color: brown">Tools → Locate
dipoles using DIPFIT → Head model and settings</span>). The resulting DIPFIT
information may then be used to perform source localization in
Expand Down Expand Up @@ -110,6 +110,7 @@ Then calculate a volumetric leadfield matrix using Fieldtrip function
*ft_prepare_leadfield*. Note that the head model is also used to
assess whether a given voxel is within or outside the brain.


``` matlab
%% Leadfield Matrix calculation
dataPre = eeglab2fieldtrip(EEG, 'preprocessing', 'dipfit'); % convert the EEG data structure to fieldtrip
Expand Down Expand Up @@ -308,6 +309,7 @@ Relevant Fieldtrip tutorials
- [Minimum norm
estimates](http://www.fieldtriptoolbox.org/tutorial/minimumnormestimate/)
for MEG, but can be adapted for EEG
- [Previous tutorial version of DIPFIT](https://sccn.ucsd.edu/eeglab/dipfittut/dipfit.htmlold)

This section was written by Arnaud Delorme with contributions and
feedback from Robert Oostenveld and Scott Makeig.