Signal quality of simultaneously recorded invasive and non-invasive EEG
Open accessAbstract
Both invasive and non-invasive electroencephalographic (EEG) recordings from the human brain have an increasingly important role in neuroscience research and are candidate modalities for medical brain-machine interfacing. It is often assumed that the major artifacts that compromise non-invasive EEG, such as caused by blinks and eye movement, are absent in invasive EEG recordings. Quantitative investigations on the signal quality of simultaneously recorded invasive and non-invasive EEG in terms of artifact contamination are, however, lacking. Here we compared blink related artifacts in non-invasive and invasive EEG, simultaneously recorded from prefrontal and motor cortical regions using an approach suitable for detection of small artifact contamination. As expected, we find blinks to cause pronounced artifacts in non-invasive EEG both above prefrontal and motor cortical regions. Unexpectedly, significant blink related artifacts were also found in the invasive recordings, in particular in the prefrontal region. Computing a ratio of artifact amplitude to the amplitude of ongoing brain activity, we find that the signal quality of invasive EEG is 20 to above 100 times better than that of simultaneously obtained non-invasive EEG. Thus, while our findings indicate that ocular artifacts do exist in invasive recordings, they also highlight the much better signal quality of invasive compared to non-invasive EEG data. Our findings suggest that blinks should be taken into account in the experimental design of ECoG studies, particularly when event related potentials in fronto-anterior brain regions are analyzed. Moreover, our results encourage the application of techniques for reducing ocular artifacts to further optimize the signal quality of invasive EEG.
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Poor signal quality makes decoding neural events harder, especially for noninvasive EEG.
“Poor signal quality can further complicate the ability to decode neural events, especially when utilizing noninvasive signals such as EEG (21).”
From Noninvasive neuroimaging enhances continuous neural tracking for robotic device control (2019) · cites this paper as [21]
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“Among all BCI paradigms, Electroencephalography (EEG) is a method of acquiring brain waves that has attracted many researchers due to its high temporal resolution and non-invasive nature [8], [9].”
Method
- Authors
- Ball, T., Kern, M., Mutschler, I., Aertsen, A., & Schulze-Bonhage, A.
- Affiliations
- University of Freiburg (DE)
- University of Basel (CH)
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2009-07
- Volume
- 46
- Issue
- 3
- Pages
- 708-716
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2101036104
- Cited by
- 403
- References
- 73
- Citations by year
- 2026: 16 · 2025: 34 · 2024: 18 · 2023: 36 · 2022: 32 · 2021: 35 · 2020: 29 · 2019: 23 · 2018: 22 · 2017: 26 · 2016: 23 · 2015: 22 · 2014: 23 · 2013: 12 · 2012: 18
- FWCI
- 8.39
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- edoc (University of Basel) (submittedVersion)
- edoc (University of Basel)
- Funders
- Volkswagen Foundation (I/83 078)
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (51A240-104890)
- Bundesministerium für Bildung und Forschung (01GQ0420, 0313891)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- invasive EEG, electrocorticography, non-invasive EEG, ocular artifacts, blink artifacts, signal quality, prefrontal cortex, motor cortex, event-related potentials, brain-computer interface
- MeSH terms
- Adolescent, Brain, Diagnosis, Computer-Assisted, Electrodes, Implanted, Electroencephalography, Epilepsy, Female, Humans, Male, Sensitivity and Specificity, Reproducibility of Results, Artifacts, Young Adult
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