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Evaluating the Effectiveness of a Common Approach to Artifact Correction and Rejection in Event-related Potential Research.

Guanghui ZhangDavid R GarrettAaron M SimmonsJohn E KiatGuanghui Zhang
Published in: bioRxiv : the preprint server for biology (2023)
Blinks and the other large artifacts can significantly reduce effect sizes and create confounds. We propose a new method for assessing the effectiveness of artifact correction and rejection in maximizing effect sizes and minimizing confounds. We also apply this method to data from five ERP components to demonstrate that a common combination of artifact correction and rejection is reasonably effective.
Keyphrases
  • randomized controlled trial
  • image quality
  • systematic review
  • dual energy
  • magnetic resonance imaging
  • computed tomography
  • machine learning
  • magnetic resonance
  • risk assessment
  • climate change
  • deep learning