Poli, Riccardo and Cinel, Caterina and Citi, Luca and Sepulveda, Francisco (2010) Reaction-time binning: A simple method for increasing the resolving power of ERP averages. Psychophysiology, 47 (3). pp. 467-485. DOI https://doi.org/10.1111/j.1469-8986.2009.00959.x
Poli, Riccardo and Cinel, Caterina and Citi, Luca and Sepulveda, Francisco (2010) Reaction-time binning: A simple method for increasing the resolving power of ERP averages. Psychophysiology, 47 (3). pp. 467-485. DOI https://doi.org/10.1111/j.1469-8986.2009.00959.x
Poli, Riccardo and Cinel, Caterina and Citi, Luca and Sepulveda, Francisco (2010) Reaction-time binning: A simple method for increasing the resolving power of ERP averages. Psychophysiology, 47 (3). pp. 467-485. DOI https://doi.org/10.1111/j.1469-8986.2009.00959.x
Abstract
Stimulus-locked, response-locked, and ERP-locked averaging are effective methods for reducing artifacts in ERP analysis. However, they suffer from a magnifying-glass effect: they increase the resolution of specific ERPs at the cost of blurring other ERPs. Here we propose an extremely simple technique - binning trials based on response times and then averaging - which can significantly alleviate the problems of other averaging methods. We have empirically evaluated the technique in an experiment where the task requires detecting a target in the presence of distractors. We have also studied the signal-to-noise ratio and the resolving power of averages with and without binning. Results indicate that the method produces clearer representations of ERPs than either stimulus-locked and response-locked averaging, revealing finer details of ERPs and helping in the evaluation of the amplitude and latency of ERP waves. The method is applicable to within-subject and between-subject averages. © 2010 Society for Psychophysiological Research.
Item Type: | Article |
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Uncontrolled Keywords: | ERP averaging; ERP signal-to-noise ratio; High-resolution averages; Reaction-time distributions; Variable-latency ERPs; Grand averages |
Subjects: | B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 11 Feb 2013 14:01 |
Last Modified: | 30 Oct 2024 19:39 |
URI: | http://repository.essex.ac.uk/id/eprint/5482 |