A better oscillation detection method robustly extracts EEG rhythms across brain state changes: The human alpha rhythm as a test case

@article{Whitten2011ABO,
  title={A better oscillation detection method robustly extracts EEG rhythms across brain state changes: The human alpha rhythm as a test case},
  author={Tara A. Whitten and Adam M. Hughes and Clayton T. Dickson and Jeremy B. Caplan},
  journal={NeuroImage},
  year={2011},
  volume={54 2},
  pages={860-74}
}
Oscillatory activity is a principal mode of operation in the brain. Despite an intense resurgence of interest in the mechanisms and functions of brain rhythms, methods for the detection and analysis of oscillatory activity in neurophysiological recordings are still highly variable across studies. We recently proposed a method for detecting oscillatory activity from time series data, which we call the BOSC (Better OSCillation detection) method. This method produces systematic, objective, and… CONTINUE READING
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Detecting cognitively relevant oscillations across species and brain states: Banff Annual Seminar in Cognitive Science, Banff, Canada

  • A. M. Hughes, T. Whitten, C. T. Dickson, J. B. Caplan
  • 2009
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