# Which Physiological Components are More Suitable for Visual ERP Based Brain–Computer Interface? A Preliminary MEG/EEG Study

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/which-physiological-components-are-more-suitable-for-visual-erp-based-brain/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Luigi Bianchi,Saber Sami,Arjan Hillebrand,Ian P. Fawcett,Lucia Rita Quitadamo,Stefano Seri |
| Citations | 92 |
| DOI | 10.1007/s10548-010-0143-0 |
| Fields | Computer Science,Neuroscience |
| Open Access | true |
| OA Status | green |
| OA URL | https://pure.amsterdamumc.nl/ws/files/112699675/256298.pdf |
| OpenAlex ID | https://openalex.org/W2156626415 |
| PMID | 20405196 |
| Type | article |
| Year | 2010 |

## Paper authors

- [Lucia Rita Quitadamo](https://scholariq.org/researchers/lucia-rita-quitadamo/)

## Paper journal

- [Brain Topography](https://scholariq.org/journals/brain-topography/)

## Paper primary topic

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)

## Paper topics

- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Neuroscience and Neural Engineering](https://scholariq.org/topics/neuroscience-and-neural-engineering/)
- [Gaze Tracking and Assistive Technology](https://scholariq.org/topics/gaze-tracking-and-assistive-technology/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.