From 3fbe57f798ef8c60265280b60b33910258389479 Mon Sep 17 00:00:00 2001 From: Kaisu Lankinen Date: Fri, 4 Oct 2019 11:46:13 -0400 Subject: [PATCH 1/4] Added dSPM --- doc/glossary.rst | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/doc/glossary.rst b/doc/glossary.rst index c7e8ce815b8..0da738fce73 100644 --- a/doc/glossary.rst +++ b/doc/glossary.rst @@ -54,6 +54,12 @@ general neuroimaging concepts. If you think a term is missing, please consider dipole See :term:`equivalent current dipole`. + dSPM + Dynamic statistical parametric mapping (abbr. ``dSPM``) gives a noise- + normalized :term:`source estimate` at a given source location. dSPM + can be obtained by applying the inverse operator to the :term:`signal + covariance` matrix. + eLORETA and sLORETA eLORETA and sLORETA (exact and standardized low resolution brain electromagnetic tomography) are linear source estimation techniques, From 68ea9fa6088dc16c2ae501b0f0a4a4ad6281d19d Mon Sep 17 00:00:00 2001 From: Kaisu Lankinen Date: Fri, 4 Oct 2019 12:15:56 -0400 Subject: [PATCH 2/4] removed term signal covariance --- doc/glossary.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/glossary.rst b/doc/glossary.rst index 0da738fce73..ebccf3587e4 100644 --- a/doc/glossary.rst +++ b/doc/glossary.rst @@ -57,8 +57,8 @@ general neuroimaging concepts. If you think a term is missing, please consider dSPM Dynamic statistical parametric mapping (abbr. ``dSPM``) gives a noise- normalized :term:`source estimate` at a given source location. dSPM - can be obtained by applying the inverse operator to the :term:`signal - covariance` matrix. + can be obtained by applying the inverse operator to the signal + covariance matrix. eLORETA and sLORETA eLORETA and sLORETA (exact and standardized low resolution brain From 4f0b001195feefcbf16281c75ea9227df861f965 Mon Sep 17 00:00:00 2001 From: Kaisu Lankinen Date: Fri, 4 Oct 2019 14:18:03 -0400 Subject: [PATCH 3/4] Minor modification of dSPM definition --- doc/glossary.rst | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/doc/glossary.rst b/doc/glossary.rst index ebccf3587e4..255724f2e26 100644 --- a/doc/glossary.rst +++ b/doc/glossary.rst @@ -56,9 +56,9 @@ general neuroimaging concepts. If you think a term is missing, please consider dSPM Dynamic statistical parametric mapping (abbr. ``dSPM``) gives a noise- - normalized :term:`source estimate` at a given source location. dSPM - can be obtained by applying the inverse operator to the signal - covariance matrix. + normalized :term:`source estimate` at a given source location. dSPM is + calculated by dividing the activity estimate at each source location by + the noise sensitivity estimate. eLORETA and sLORETA eLORETA and sLORETA (exact and standardized low resolution brain From 8d3ddcbdfd96802ed466a4d50fc1226b84421628 Mon Sep 17 00:00:00 2001 From: Kaisu Lankinen Date: Fri, 4 Oct 2019 15:22:53 -0400 Subject: [PATCH 4/4] Corrected according to Mattis suggestions --- doc/glossary.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/doc/glossary.rst b/doc/glossary.rst index 255724f2e26..5f41271c66e 100644 --- a/doc/glossary.rst +++ b/doc/glossary.rst @@ -56,9 +56,9 @@ general neuroimaging concepts. If you think a term is missing, please consider dSPM Dynamic statistical parametric mapping (abbr. ``dSPM``) gives a noise- - normalized :term:`source estimate` at a given source location. dSPM is + normalized minimum-norm estimate at a given source location. dSPM is calculated by dividing the activity estimate at each source location by - the noise sensitivity estimate. + the baseline standard deviation of the noise. eLORETA and sLORETA eLORETA and sLORETA (exact and standardized low resolution brain