loreta algorithm Search Results


loreta algorithm  (Compumedics Neuroscan)
90
Compumedics Neuroscan loreta algorithm
Schematic illustration of the <t>LORETA</t> source localization approach. a.) individual MRI image <t>with</t> <t>intracranial</t> electrodes; b.) position of intracranial electrodes derived from the MRI in 3-dimensional virtual space; c.) segmentation of the cortical surface derived from MRI; d.) grid electrodes superimposed on 3-dimentional reconstruction of individual cortex; e.) Evoked Potentials (EP) recorded from grid electrodes; f.) topographical map of recorded EP superimposed on reconstructed cortex; g) LORETA solutions superimposed on the anatomical cortical reconstruction for an individual brain.
Loreta Algorithm, supplied by Compumedics Neuroscan, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/loreta algorithm/product/Compumedics Neuroscan
Average 90 stars, based on 1 article reviews
loreta algorithm - by Bioz Stars, 2026-04
90/100 stars
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low-resolution electromagnetic tomography algorithm loreta  (Source Signal Imaging Inc)
90
Source Signal Imaging Inc low-resolution electromagnetic tomography algorithm loreta
Schematic illustration of the <t>LORETA</t> source localization approach. a.) individual MRI image <t>with</t> <t>intracranial</t> electrodes; b.) position of intracranial electrodes derived from the MRI in 3-dimensional virtual space; c.) segmentation of the cortical surface derived from MRI; d.) grid electrodes superimposed on 3-dimentional reconstruction of individual cortex; e.) Evoked Potentials (EP) recorded from grid electrodes; f.) topographical map of recorded EP superimposed on reconstructed cortex; g) LORETA solutions superimposed on the anatomical cortical reconstruction for an individual brain.
Low Resolution Electromagnetic Tomography Algorithm Loreta, supplied by Source Signal Imaging Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/low-resolution electromagnetic tomography algorithm loreta/product/Source Signal Imaging Inc
Average 90 stars, based on 1 article reviews
low-resolution electromagnetic tomography algorithm loreta - by Bioz Stars, 2026-04
90/100 stars
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loreta algorithms module  (Brainvision Inc)
90
Brainvision Inc loreta algorithms module
Schematic illustration of the <t>LORETA</t> source localization approach. a.) individual MRI image <t>with</t> <t>intracranial</t> electrodes; b.) position of intracranial electrodes derived from the MRI in 3-dimensional virtual space; c.) segmentation of the cortical surface derived from MRI; d.) grid electrodes superimposed on 3-dimentional reconstruction of individual cortex; e.) Evoked Potentials (EP) recorded from grid electrodes; f.) topographical map of recorded EP superimposed on reconstructed cortex; g) LORETA solutions superimposed on the anatomical cortical reconstruction for an individual brain.
Loreta Algorithms Module, supplied by Brainvision Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/loreta algorithms module/product/Brainvision Inc
Average 90 stars, based on 1 article reviews
loreta algorithms module - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier
loreta algorithm  (BESA GmbH)
90
BESA GmbH loreta algorithm
Schematic illustration of the <t>LORETA</t> source localization approach. a.) individual MRI image <t>with</t> <t>intracranial</t> electrodes; b.) position of intracranial electrodes derived from the MRI in 3-dimensional virtual space; c.) segmentation of the cortical surface derived from MRI; d.) grid electrodes superimposed on 3-dimentional reconstruction of individual cortex; e.) Evoked Potentials (EP) recorded from grid electrodes; f.) topographical map of recorded EP superimposed on reconstructed cortex; g) LORETA solutions superimposed on the anatomical cortical reconstruction for an individual brain.
Loreta Algorithm, supplied by BESA GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/loreta algorithm/product/BESA GmbH
Average 90 stars, based on 1 article reviews
loreta algorithm - by Bioz Stars, 2026-04
90/100 stars
  Buy from Supplier

Image Search Results


Schematic illustration of the LORETA source localization approach. a.) individual MRI image with intracranial electrodes; b.) position of intracranial electrodes derived from the MRI in 3-dimensional virtual space; c.) segmentation of the cortical surface derived from MRI; d.) grid electrodes superimposed on 3-dimentional reconstruction of individual cortex; e.) Evoked Potentials (EP) recorded from grid electrodes; f.) topographical map of recorded EP superimposed on reconstructed cortex; g) LORETA solutions superimposed on the anatomical cortical reconstruction for an individual brain.

Journal:

Article Title: Generators of the intracranial P50 response in auditory sensory gating

doi: 10.1016/j.neuroimage.2006.12.011

Figure Lengend Snippet: Schematic illustration of the LORETA source localization approach. a.) individual MRI image with intracranial electrodes; b.) position of intracranial electrodes derived from the MRI in 3-dimensional virtual space; c.) segmentation of the cortical surface derived from MRI; d.) grid electrodes superimposed on 3-dimentional reconstruction of individual cortex; e.) Evoked Potentials (EP) recorded from grid electrodes; f.) topographical map of recorded EP superimposed on reconstructed cortex; g) LORETA solutions superimposed on the anatomical cortical reconstruction for an individual brain.

Article Snippet: To localize sources of our intracranial P50 data, we used the LORETA algorithm ( Pascual-Marqui, 1999 as implemented by the CURRY software package, Neuroscan, Compumedics Ltd.) because it allows many distributed sources to be concurrently active in the current density reconstructions, without assuming a limited number of dipolar sources (for reviews on source reconstruction methods, see ( Fuchs et al., 1999 ; Yao and Dewald, 2005 ).

Techniques: Derivative Assay

Left panel: LORETA results for the P50 source localization. Right panel: Localization results for the Gating Difference Wave source, also calculated with LORETA.

Journal:

Article Title: Generators of the intracranial P50 response in auditory sensory gating

doi: 10.1016/j.neuroimage.2006.12.011

Figure Lengend Snippet: Left panel: LORETA results for the P50 source localization. Right panel: Localization results for the Gating Difference Wave source, also calculated with LORETA.

Article Snippet: To localize sources of our intracranial P50 data, we used the LORETA algorithm ( Pascual-Marqui, 1999 as implemented by the CURRY software package, Neuroscan, Compumedics Ltd.) because it allows many distributed sources to be concurrently active in the current density reconstructions, without assuming a limited number of dipolar sources (for reviews on source reconstruction methods, see ( Fuchs et al., 1999 ; Yao and Dewald, 2005 ).

Techniques:

Left panel: LORETA results for the P50 source localization. Right panel: Localization results for the Gating Difference Wave source, also calculated with LORETA

Journal:

Article Title: Generators of the intracranial P50 response in auditory sensory gating

doi: 10.1016/j.neuroimage.2006.12.011

Figure Lengend Snippet: Left panel: LORETA results for the P50 source localization. Right panel: Localization results for the Gating Difference Wave source, also calculated with LORETA

Article Snippet: To localize sources of our intracranial P50 data, we used the LORETA algorithm ( Pascual-Marqui, 1999 as implemented by the CURRY software package, Neuroscan, Compumedics Ltd.) because it allows many distributed sources to be concurrently active in the current density reconstructions, without assuming a limited number of dipolar sources (for reviews on source reconstruction methods, see ( Fuchs et al., 1999 ; Yao and Dewald, 2005 ).

Techniques: