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

Content Provider	Europe PMC
Author	Bhutada, Abhishek S. Cai, Chang Mizuiri, Danielle Findlay, Anne Chen, Jessie Tay, Ashley Kirsch, Heidi E. Nagarajan, Srikantan S.
Abstract	Magnetoencephalography (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.
Related Links	https://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC8664897&blobtype=pdf
ISSN	08960267
Journal	Brain Topography [Brain Topogr]
Volume Number	35
DOI	10.1007/s10548-021-00850-4
PubMed Central reference number	PMC8664897
Issue Number	1
PubMed reference number	34114168
e-ISSN	15736792
Language	English
Publisher	Springer US
Publisher Date	2021-06-11
Publisher Place	New York
Access Restriction	Open
Rights License	Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. © The Author(s) 2021
Subject Keyword	MEG Magnetoencephalography MSI, magnetic source imaging Brain mapping Sensorimotor cortex Functional mapping
Content Type	Text
Resource Type	Article
Subject	Anatomy Neurology Radiology, Nuclear Medicine and Imaging Neurology (clinical) Radiological and Ultrasound Technology