Apr 9, 2020

ConvDip: A convolutional neural network for better M/EEG Source Imaging

BioRxiv : the Preprint Server for Biology
Lukas HeckerJ. Kornmeier

Abstract

EEG and MEG are well-established non-invasive methods in neuroscientific research and clinical diagnostics. Both methods provide a high temporal but low spatial resolution of brain activity. In order to gain insight about the spatial dynamics of the EEG one has to solve the inverse problem, which means that more than one configuration of neural sources can evoke one and the same distribution of EEG activity on the scalp. A large number of approaches have been developed in the past to handle the inverse problem by creating more accurate and reliable solutions. Artificial neural networks have been previously used successfully to find either one or two dipoles sources. These approaches, however, have never solved the inverse problem in a distributed dipole model with more than two dipole sources. We present ConvDip, a novel convolutional neural network (CNN) architecture that solves the EEG inverse problem in a distributed dipole model based on simulated EEG data in a semi-supervised approach. We show that (1) ConvDip learned to produce inverse solutions from a single time point of EEG data and (2) outperforms state-of-the-art methods eLORETA and LCMV beamforming) on all focused performance measures. (3) It is more flexible when d...Continue Reading

  • References
  • Citations

References

  • We're still populating references for this paper, please check back later.
  • References
  • Citations

Citations

  • This paper may not have been cited yet.

Mentioned in this Paper

Morphological
Heliconius melpomene
Structure
Chemicals
Behavior Assessment
Genus
Genetic Studies
Species
Heliconius
Plant Extracts

Related Feeds

BioRxiv & MedRxiv Preprints

BioRxiv and MedRxiv are the preprint servers for biology and health sciences respectively, operated by Cold Spring Harbor Laboratory. Here are the latest preprint articles (which are not peer-reviewed) from BioRxiv and MedRxiv.