scholarly journals Equivalent-Current-Dipole-Source-Localization-Based BCIs with Motor Imagery

10.5772/55805 ◽  
2013 ◽  
Author(s):  
Toshimasa Yamazaki ◽  
Maiko Sakamoto ◽  
Shino Takata ◽  
Hiromi Yamaguchi ◽  
Kazufumi Tanaka ◽  
...  
Keyword(s):  
Motor Imagery ◽  
Source Localization ◽  
Dipole Source ◽  
Equivalent Current Dipole ◽  
Current Dipole ◽  
Equivalent Current ◽  
Dipole Source Localization

Association between equivalent current dipole source localization and focal cortical dysplasia in epilepsy patients

2012 ◽  
Vol 98 (2-3) ◽  
pp. 223-231 ◽  
Author(s):  
Alejandro Blenkmann ◽  
Gustavo Seifer ◽  
Juan Pablo Princich ◽  
Damian Consalvo ◽  
Silvia Kochen ◽  
...  
Keyword(s):  
Source Localization ◽  
Focal Cortical Dysplasia ◽  
Cortical Dysplasia ◽  
Dipole Source ◽  
Equivalent Current Dipole ◽  
Current Dipole ◽  
Equivalent Current ◽  
Dipole Source Localization

scholarly journals Clinical Validation of the Champagne Algorithm for Evoked Response Source Localization in Magnetoencephalography

2021 ◽  
Author(s):  
Abhishek S. Bhutada ◽  
Chang Cai ◽  
Danielle Mizuiri ◽  
Anne Findlay ◽  
Jessie Chen ◽  
...  
Keyword(s):  
Evoked Potentials ◽  
Source Localization ◽  
Clinical Population ◽  
Evoked Responses ◽  
Localization Algorithm ◽  
Equivalent Current Dipole ◽  
Current Dipole ◽  
Tumor Patients ◽  
Equivalent Current ◽  
Sensory Evoked

AbstractMagnetoencephalography (MEG) is a robust method for non-invasive functional brain mapping of sensory cortices due to its exceptional spatial and temporal resolution. The clinical standard for MEG source localization of functional landmarks from sensory evoked responses is the equivalent current dipole (ECD) localization algorithm, known to be sensitive to initialization, noise, and manual choice of the number of dipoles. Recently many automated and robust algorithms have been developed, including the Champagne algorithm, an empirical Bayesian algorithm, with powerful abilities for MEG source reconstruction and time course estimation (Wipf et al. 2010; Owen et al. 2012). Here, we evaluate automated Champagne performance in a clinical population of tumor patients where there was minimal failure in localizing sensory evoked responses using the clinical standard, ECD localization algorithm. MEG data of auditory evoked potentials and somatosensory evoked potentials from 21 brain tumor patients were analyzed using Champagne, and these results were compared with equivalent current dipole (ECD) fit. Across both somatosensory and auditory evoked field localization, we found there was a strong agreement between Champagne and ECD localizations in all cases. Given resolution of 8mm voxel size, peak source localizations from Champagne were below 10mm of ECD peak source localization. The Champagne algorithm provides a robust and automated alternative to manual ECD fits for clinical localization of sensory evoked potentials and can contribute to improved clinical MEG data processing workflows.

Dipole source localization of epileptic discharges in EEG and MEG

2004 ◽  
Vol 1270 ◽  
pp. 56-60
Author(s):  
Hiroshi Otsubo ◽  
Ayako Ochi ◽  
Ryota Sakamoto ◽  
Koji Iida
Keyword(s):  
Source Localization ◽  
Dipole Source ◽  
Dipole Source Localization ◽  
Epileptic Discharges
Sign in / Sign up

Export Citation Format

Share Document