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

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

Researchers

Research units

  • Gabriele d’Annunzio University

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.

Details

Original languageEnglish
Title of host publication2019 IEEE International Conference on Systems, Man and Cybernetics, SMC 2019
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

ID: 40263565