Localising the auditory N1m with event-related beamformers:localisation accuracy following bilateral and unilateral stimulation


The auditory evoked N1m-P2m response complex presents a challenging case for MEG source-modelling, because symmetrical, phase-locked activity occurs in the hemispheres both contralateral and ipsilateral to stimulation. Beamformer methods, in particular, can be susceptible to localisation bias and spurious sources under these conditions. This study explored the accuracy and efficiency of event-related beamformer source models for auditory MEG data under typical experimental conditions: monaural and diotic stimulation; and whole-head beamformer analysis compared to a half-head analysis using only sensors from the hemisphere contralateral to stimulation. Event-related beamformer localisations were also compared with more traditional single-dipole models. At the group level, the event-related beamformer performed equally well as the single-dipole models in terms of accuracy for both the N1m and the P2m, and in terms of efficiency (number of successful source models) for the N1m. The results yielded by the half-head analysis did not differ significantly from those produced by the traditional whole-head analysis. Any localisation bias caused by the presence of correlated sources is minimal in the context of the inter-individual variability in source localisations. In conclusion, event-related beamformers provide a useful alternative to equivalent-current dipole models in localisation of auditory evoked responses.

Publication DOI: https://doi.org/10.1038/srep31052
Divisions: College of Health & Life Sciences > School of Psychology
College of Health & Life Sciences
College of Health & Life Sciences > Clinical and Systems Neuroscience
College of Health & Life Sciences > Aston Institute of Health & Neurodevelopment (AIHN)
College of Health & Life Sciences > School of Biosciences
Additional Information: © The Author(s) 2016. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords: MEG,magnetoencephalography,auditory,beamformer
Publication ISSN: 2045-2322
Last Modified: 27 May 2024 07:16
Date Deposited: 15 Sep 2016 13:50
PURE Output Type: Article
Published Date: 2016-08-22
Accepted Date: 2016-07-13
Submitted Date: 2016-01-13
Authors: Gascoyne, Lauren
Furlong, Paul L. (ORCID Profile 0000-0002-9840-8586)
Hillebrand, Arjan
Worthen, Siân F. (ORCID Profile 0000-0003-1980-0932)
Witton, Caroline (ORCID Profile 0000-0002-5610-4234)



Version: Published Version

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