Comparison of dry and wet electroencephalography for the assessment of cognitive evoked potentials and sensor-level connectivity
Dry EEG reliably detected MMN and resting-state connectivity despite a lower signal-to-noise ratio. This study provides the methodological basis for using dry EEG in studies investigating the neural processes underlying psychiatric and neurological conditions.
Authors
- Guglielmo Lucchese (ORCID: https://orcid.org/0000-0002-1809-6376)
- Daria Antonenko (ORCID: https://orcid.org/0000-0002-2839-4609)
- Nina M. Ehrhardt (ORCID: https://orcid.org/0000-0002-8653-4323)
- Robert Fleischmann (ORCID: https://orcid.org/0000-0001-8159-2658)
- Clara Niehoff
- Anna-Christina Oßwald
Institutions
- University of Zurich (CH)
- Universitätsmedizin Greifswald (DE)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2024-11-06
- DOI
- https://doi.org/10.3389/fnins.2024.1441799
- Citations
- 5
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.71
Funders
- European Regional Development Fund