Model Selection in Spatio-Temporal Electromagnetic Source Analysis

2005 ◽  
Vol 52 (3) ◽  
pp. 414-420 ◽  
Author(s):  
L.J. Waldorp ◽  
H.M. Huizenga ◽  
A. Nehorai ◽  
R.P.P.P. Grasman ◽  
P.C.M. Molenaar
Keyword(s):  
Model Selection ◽  
Source Analysis ◽  
Spatio Temporal ◽  
Electromagnetic Source

Model selection in electromagnetic source analysis with an application to VEFs

2002 ◽  
Vol 49 (10) ◽  
pp. 1121-1129 ◽  
Author(s):  
L.J. Waldorp ◽  
H.M. Huizenga ◽  
R.P.P.P. Grasman ◽  
K.B.E. Bocker ◽  
J.C. de Munck ◽  
...  
Keyword(s):  
Model Selection ◽  
Source Analysis ◽  
Electromagnetic Source

Spatio-temporal source analysis

1997 ◽  
Vol 103 (1) ◽  
pp. 47
Author(s):  
M Scherq
Keyword(s):  
Source Analysis ◽  
Spatio Temporal

scholarly journals Electric Source Localization Adds Evidence for Task-Specific CNVs

1998 ◽  
Vol 11 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Ina M. Tarkka ◽  
Luis F. H. Basile
Keyword(s):  
Pattern Recognition ◽  
Source Localization ◽  
Clinical Neurophysiology ◽  
Recognition Task ◽  
Source Analysis ◽  
Visual Spatial ◽  
Spatio Temporal ◽  
Electric Source ◽  
Pattern Recognition Task ◽  
Spatial Recognition

This study was an attempt to replicate recent magnetoencephalographic (MEG) findings on human task-specific CNV sources (Basile et al., Electroencephalography and Clinical Neurophysiology 90, 1994, 157–165) by means of a spatio-temporal electric source localization method (Scherg and von Cramon, Electroencephalography and Clinical Neurophysiology 62, 1985, 32–44; Scherg and von Cramon, Electroencephalography and Clinical Neurophysiology 65, 1986, 344-360; Scherg and Berg, Brain Electric Source Analysis Handbook, Version 2). The previous MEG results showed CNV sources in the prefrontal cortex of the two hemispheres for two tasks used, namely visual pattern recognition and visual spatial recognition tasks. In the right hemisphere, the sources were more anterior and inferior for the spatial recognition task than for the pattern recognition task. In the present study we obtained CNVs in five subjects during two tasks identical to the MEG study. The elicited electric potentials were modeled with four spatio-temporal dipoles for each task, three of which accounted for the visual evoked response and one that accounted for the CNV. For all subjects the dipole explaining the CNV was always localized in the frontal region of the head, however, the dipole obtained during the visual spatial recognition task was more anterior than the one obtained during the pattern recognition task. Thus, task-specific CNV sources were again observed, although the stable model consisted of only one dipole located close to the midline instead of one dipole in each hemisphere. This was a major difference in the CNV sources between the previous MEG and the present electric source analysis results. We discuss the possible basis for the difference between the two methods used to study slow brain activity that is believed to originate from extended cortical patches.

Spatio-temporal additive regression model selection for urban water demand

2019 ◽  
Vol 33 (4-6) ◽  
pp. 1075-1087
Author(s):  
Hunter R. Merrill ◽  
Xueying Tang ◽  
Nikolay Bliznyuk
Keyword(s):  
Model Selection ◽  
Regression Model ◽  
Water Demand ◽  
Urban Water ◽  
Urban Water Demand ◽  
Additive Regression Model ◽  
Selection For ◽  
Spatio Temporal ◽  
Additive Regression

scholarly journals Spatio-temporal Bayesian model selection for disease mapping

2016 ◽  
Vol 27 (8) ◽  
pp. 466-478 ◽  
Author(s):  
Rachel Carroll ◽  
Andrew B. Lawson ◽  
Christel Faes ◽  
Russell S. Kirby ◽  
Mehreteab Aregay ◽  
...  
Keyword(s):  
Model Selection ◽  
Bayesian Model ◽  
Disease Mapping ◽  
Bayesian Model Selection ◽  
Selection For ◽  
Spatio Temporal

Estimation and Model Selection for an IDE-Based Spatio-Temporal Model

2009 ◽  
Vol 57 (2) ◽  
pp. 482-492 ◽  
Author(s):  
K. Scerri ◽  
M. Dewar ◽  
V. Kadirkamanathan
Keyword(s):  
Model Selection ◽  
Temporal Model ◽  
Selection For ◽  
Spatio Temporal

Use of prior knowledge in brain electromagnetic source analysis

1991 ◽  
Vol 4 (2) ◽  
pp. 143-150 ◽  
Author(s):  
Michael Scherg ◽  
Patrick Berg
Keyword(s):  
Prior Knowledge ◽  
Source Analysis ◽  
Brain Electromagnetic ◽  
Electromagnetic Source
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