Influence of co-registration errors on the performance of anatomical constraints in MEG source connectivity analysis

Federico Chella, Laura Marzetti, Alessio Basti, Matti Stenroos, Lauri Parkkonen, Risto J. Ilmoniemi, Vittorio Pizzella

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

We investigate how co-registration errors affect the performance of anatomical constraints in magnetoencephalographic (MEG) source modeling for source-space connectivity analysis. We simulated MEG recordings from pairs of interacting cortical sources with variable locations and with a co-registration error of 0-15 mm. We computed a beamformer-based source estimate with either a free-orientation or constrained-orientation source model and tested four popular connectivity measures: Imaginary part of coherency, amplitude-envelope correlation, phase-slope index and frequency-domain Granger causality. We found that even small co-registration errors (≥2 mm) compromise the performance of source orientation constraints in connectivity estimation.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
PublisherIEEE
Pages2754-2761
Number of pages8
ISBN (Electronic)9781728145693
DOIs
Publication statusPublished - 1 Oct 2019
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Systems, Man, and Cybernetics - Bari, Italy
Duration: 6 Oct 20199 Oct 2019

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume2019-October
ISSN (Print)1062-922X

Conference

ConferenceIEEE International Conference on Systems, Man, and Cybernetics
Abbreviated titleSMC
CountryItaly
CityBari
Period06/10/201909/10/2019

Cite this

Chella, F., Marzetti, L., Basti, A., Stenroos, M., Parkkonen, L., Ilmoniemi, R. J., & Pizzella, V. (2019). Influence of co-registration errors on the performance of anatomical constraints in MEG source connectivity analysis. In 2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019 (pp. 2754-2761). [8914495] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics; Vol. 2019-October). IEEE. https://doi.org/10.1109/SMC.2019.8914495