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glossary update: esLORETA definition and links #6883
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doc/glossary.rst
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dipole | ||
See :term:`equivalent current dipole`. | ||
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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`. |
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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`. |
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other than my comments, this looks great!
doc/glossary.rst
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dipole | ||
See :term:`equivalent current dipole`. | ||
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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`. |
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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`. |
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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.
Codecov Report
@@ Coverage Diff @@
## master #6883 +/- ##
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- Coverage 89.55% 81.98% -7.57%
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Files 426 426
Lines 76074 76074
Branches 12415 12415
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- Hits 68127 62370 -5757
- Misses 5156 10936 +5780
+ Partials 2791 2768 -23 |
Thanks @NataKozh ! |
* suggestions that got missed in #6883 * fix whitespace and line endings
* 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
* suggestions that got missed in mne-tools#6883 * fix whitespace and line endings
Added a brief definition of eLORETA and sLORETA, added links to the inverse operator, HPI and Digitization definitions.