|Appears in Collections:||Psychology Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Systematic biases in early ERP and ERF components as a result of high-pass filtering|
van, Rossum Mark C W
|Citation:||Acunzo D, MacKenzie G & van Rossum MCW (2012) Systematic biases in early ERP and ERF components as a result of high-pass filtering, Journal of Neuroscience Methods, 209 (1), pp. 212-218.|
|Abstract:||The event-related potential (ERP) and event-related field (ERF) techniques provide valuable insights into the time course of processes in the brain. Because neural signals are typically weak, researchers commonly filter the data to increase the signal-to-noise ratio. However, filtering may distort the data, leading to false results. Using our own EEG data, we show that acausal high-pass filtering can generate a systematic bias easily leading to misinterpretations of neural activity. In particular, we show that the early ERP component C1 is very sensitive to such effects. Moreover, we found that about half of the papers reporting modulations in the C1 range used a high-pass digital filter cut-off above the recommended maximum of 0.1 Hz. More generally, among 185 relevant ERP/ERF publications, 80 used cutoffs above 0.1 Hz. As a consequence, part of the ERP/ERF literature may need to be re-analyzed. We provide guidelines on how to minimize filtering artifacts.|
|Rights:||The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|Affiliation:||University of Edinburgh|
University of Edinburgh
|Acunzo MacKenzie & van Rossum 2012.pdf||926.92 kB||Adobe PDF||Under Embargo until 31/12/2999 Request a copy|
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