Signal quality of simultaneously recorded invasive and non-invasive EEG

By Tonio Ball, M. Kern, I. Mutschler, Ad Aertsen, A. Schulze-Bonhage. NeuroImage, 2009

389 citations recorded by the source corpus.

Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/01b5df700d906dfcbc2fa30336fff8ee8b302ba1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cellular and Molecular Neuroscience

1. Luis F. Nicolás-Alonso
2. Jaime Gómez Gil
3. Keum Shik Hong
4. Noman Naseer

In Cognitive Neuroscience

1. Luis F. Nicolás-Alonso
2. Jaime Gómez Gil
3. Keum Shik Hong
4. Noman Naseer

Citations in the corpus

• Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review (2021, background): “The recorded EEG signal is only about 5% of the actual brain signal [45].”
• Brain Computer Interfaces, a Review (2012, background): “Compared to EEG, ECoG provides higher temporal and spatial resolution as well as higher amplitudes and a lower vulnerability to artifacts such as blinks and eye movement [58].”
• Neural correlates of perceptual consciousness from within: A narrative review of human intracranial research (2025, unknown): “Another advantage over scalp EEG is an improved signal- to-noise ratio by one to two orders of magnitude ( Ball et al., 2009 ; Ramantani et al., 2016 ), which allows for the detection of more subtle effects.”
• Optimal positioning and size of high-density electrocorticography grids for speech brain-computer interfaces (2025, unknown): “Particularly promising are implantable BCIs using subdural electrocorticography (ECoG) electrodes, which offer high spatial and temporal resolution and high signal-to-noise ratio (Ball et al., 2009).”
• Dynamic Causal Tractography Analysis of Auditory Descriptive Naming: An Intracranial Study of 106 Patients (2025, unknown): “The advantage of iEEG includes its signal fidelity, which is more than 100 times better than that of scalp EEG and magnetoencephalography (Ball et al., 2009), both of which are inevitably affected by electromyographic artifacts from ocular and temporal muscles during saccadic eye movements and…”