title: Residue iteration decomposition (RIDE): A new method to separate ERP components on the basis of latency variability in single trials.
abstract: Event-related brain potentials (ERPs) are important research tools because they provide insights into mental processing at high temporal resolution. Their usefulness, however, is limited by the need to average over a large number of trials, sacrificing information about the trial-by-trial variability of latencies or amplitudes of specific ERP components. Here we propose a novel method based on an iteration strategy of the residues of averaged ERPs (RIDE) to separate latency-variable component clusters. The separated component clusters can then serve as templates to estimate latencies in single trials with high precision. By applying RIDE to data from a face-priming experiment, we separate priming effects and show that they are robust against latency shifts and within-condition variability. RIDE is useful for a variety of data sets that show different degrees of variability and temporal overlap between ERP components.
authors: Department of Physics, Hong Kong Baptist University, Kowloon Tong, Hong Kong.
authors: Guang
authors: G
authors: Ouyang
authors: Grit
authors: G
authors: Herzmann
authors: Changsong
authors: C
authors: Zhou
authors: Werner
authors: W
authors: Sommer
mesh_terms: D000465:Algorithms; D016000:Cluster Analysis; D003071:Cognition / Q000502:physiology; D003463:Cues; D003627:Data Interpretation, Statistical; D004569:Electroencephalography / Q000706:statistics & numerical data*; D004576:Electromyography / Q000706:statistics & numerical data; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D015233:Models, Statistical; D011930:Reaction Time / Q000502:physiology; D012815:Signal Processing, Computer-Assisted