Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

glossary update: esLORETA definition and links #6883

Merged
merged 6 commits into from
Oct 2, 2019

Conversation

NataKozh
Copy link
Contributor

@NataKozh NataKozh commented Oct 2, 2019

Added a brief definition of eLORETA and sLORETA, added links to the inverse operator, HPI and Digitization definitions.

doc/glossary.rst Outdated

dipole
See :term:`equivalent current dipole`.

eLORETA and sLORETA
eLORETA and sLORETA (exact and standardized low resolution brain electromagnetic tomography) are versions of LORETA source estimation technique. It is based on computing the distribution of the current source density throughout full brain volume. See :func:`mne.minimum_norm.apply_inverse`.
Copy link
Member

@agramfort agramfort Oct 2, 2019

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
eLORETA and sLORETA (exact and standardized low resolution brain electromagnetic tomography) are versions of LORETA source estimation technique. It is based on computing the distribution of the current source density throughout full brain volume. See :func:`mne.minimum_norm.apply_inverse`.
eLORETA and sLORETA (exact and standardized low resolution brain electromagnetic tomography) are linear source estimation techniques, as are dSPM or MNE (:term:`minimum-norm estimation`). sLORETA outputs standardized values such as dSPM, while eLORETA outputs current density estimates like MNE. See :func:`mne.minimum_norm.apply_inverse`.

Copy link
Member

@drammock drammock left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

other than my comments, this looks great!

doc/glossary.rst Outdated

dipole
See :term:`equivalent current dipole`.

eLORETA and sLORETA
eLORETA and sLORETA (exact and standardized low resolution brain electromagnetic tomography) are linear source estimation techniques, as are dSPM or MNE (:term:`minimum-norm estimation`). sLORETA outputs standardized values such as dSPM, while eLORETA outputs current density estimates like MNE. See :func:`mne.minimum_norm.apply_inverse`.
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
eLORETA and sLORETA (exact and standardized low resolution brain electromagnetic tomography) are linear source estimation techniques, as are dSPM or MNE (:term:`minimum-norm estimation`). sLORETA outputs standardized values such as dSPM, while eLORETA outputs current density estimates like MNE. See :func:`mne.minimum_norm.apply_inverse`.
eLORETA and sLORETA (exact and standardized low resolution brain electromagnetic tomography) are linear source estimation techniques, as are dSPM or :term:`MNE <minimum-norm estimation>`. sLORETA outputs standardized values (like dSPM does), while eLORETA outputs current density estimates (like MNE). See :func:`mne.minimum_norm.apply_inverse` and :ref:`tut-inverse-methods`.

Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

It would also be good if this were split over multiple lines, so there is no line-wrapping when viewing the source document. 79 characters is the typical limit.

doc/glossary.rst Outdated Show resolved Hide resolved
doc/glossary.rst Outdated Show resolved Hide resolved
@codecov
Copy link

codecov bot commented Oct 2, 2019

Codecov Report

Merging #6883 into master will decrease coverage by 7.56%.
The diff coverage is n/a.

@@            Coverage Diff             @@
##           master    #6883      +/-   ##
==========================================
- Coverage   89.55%   81.98%   -7.57%     
==========================================
  Files         426      426              
  Lines       76074    76074              
  Branches    12415    12415              
==========================================
- Hits        68127    62370    -5757     
- Misses       5156    10936    +5780     
+ Partials     2791     2768      -23

doc/glossary.rst Outdated Show resolved Hide resolved
@drammock drammock mentioned this pull request Oct 2, 2019
11 tasks
@larsoner
Copy link
Member

larsoner commented Oct 2, 2019

Thanks @NataKozh !

@larsoner larsoner merged commit a81a5f8 into mne-tools:master Oct 2, 2019
drammock added a commit to drammock/mne-python that referenced this pull request Oct 2, 2019
@drammock drammock mentioned this pull request Oct 2, 2019
larsoner pushed a commit that referenced this pull request Oct 3, 2019
* suggestions that got missed in #6883

* fix whitespace and line endings
alexrockhill pushed a commit to alexrockhill/mne-python that referenced this pull request Oct 3, 2019
* glossary update: esLORETA definition and links

* glossary update: updated definition of eLORETA and sLORETA

* glossary update: added period

* glossary update: 79characters in line limit

* glossary update: added period to HPI definition paragraph

* glossary update:eLORETA definition+new link
alexrockhill pushed a commit to alexrockhill/mne-python that referenced this pull request Oct 3, 2019
* suggestions that got missed in mne-tools#6883

* fix whitespace and line endings
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

4 participants