Detection of synchronized oscillations in the electroencephalogram: An evaluation of methods

Nick Yeung, Rafal Bogacz, Clay B. Holroyd, Jonathan D. Cohen

Research output: Contribution to journalArticlepeer-review

205 Scopus citations


The signal averaging approach typically used in ERP research assumes that peaks in ERP waveforms reflect neural activity that is uncorrelated with activity in the ongoing EEG. However, this assumption has been challenged by research suggesting that ERP peaks reflect event-related synchronization of ongoing EEG oscillations. In this study, we investigated the validity of a set of methods that have been used to demonstrate that particular ERP peaks result from synchronized EEG oscillations. We simulated epochs of EEG data by superimposing phasic peaks on noise characterized by the power spectrum of the EEG. When applied to the simulated data, the methods in question produced results that have previously been interpreted as evidence of synchronized oscillations, even though no such synchrony was present. These findings suggest that proposed analysis methods may not effectively disambiguate competing views of ERP generation.

Original languageEnglish (US)
Pages (from-to)822-832
Number of pages11
Issue number6
StatePublished - Nov 2004

All Science Journal Classification (ASJC) codes

  • Experimental and Cognitive Psychology
  • Endocrine and Autonomic Systems
  • Neuropsychology and Physiological Psychology
  • Neurology
  • Biological Psychiatry
  • Cognitive Neuroscience
  • Developmental Neuroscience
  • General Neuroscience


  • Electroencephalography
  • Event-related potential
  • Oscillations
  • Phase resetting
  • Synchrony


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