CHAPTER 9 Signal Processing andMachine Learning forSingle-trial Analysis of Simultaneously Acquired EEG and fMRI

@inproceedings{Sajda2010CHAPTER9S,
  title={CHAPTER 9 Signal Processing andMachine Learning forSingle-trial Analysis of Simultaneously Acquired EEG and fMRI},
  author={Paul Sajda and Robin Goldman and Mads Dyrholm and Rachel Brown},
  year={2010}
}
The simultaneous acquisition of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) is a potentially powerful multimodal imaging technique for measuring the functional activity of the human brain. Given that EEG measures the electrical activity of neural populations while fMRI measures hemodynamics via a blood oxygenationlevel–dependent (BOLD) signal related to neuronal activity, simultaneous EEG/fMRI (hereafter referred to as EEG/fMRI) offers a modality to investigate… CONTINUE READING

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