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.

Influence of Co-Registration Errors on the Performance of Anatomical Constraints in MEG Source Connectivity Analysis*

Chella F.
Primo
;
Marzetti L.
Secondo
;
Basti A.;Pizzella V.
Ultimo
2019

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.
978-1-7281-4569-3
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11564/731631
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