RIDE on ERPs
Ouyang, G., Hildebrandt, A., Sommer, W., & Zhou, C. (2017 in press). Exploiting the Intra-Subject Latency Variability from Single-Trial Event-Related Potentials in the P3 Time Range: A Review and Comparative Evaluation of Methods. Neuroscience & Biobehavioral Reviews.
Ouyang, G., Sommer, W., & Zhou, C. (2016). Reconstructing ERP amplitude effects after compensating for trial-to-trial latency jitter: A solution based on a novel application of residue iteration decomposition. International Journal of Psychophysiology, 109, 9-20.
Ouyang, G., Sommer, W., Zhou, C., Aristei, S., Pinkpank, T., & Rahman, R. A. (2016). Articulation artifacts during overt language production in event-related brain potentials: Description and correction. Brain topography, 29(6), 791-813.
Kashyap, R., Ouyang, G., Sommer, W., & Zhou, C. (2016). Neuroanatomic localization of priming effects for famous faces with latency-corrected event-related potentials. Brain research, 1632, 58-72.
Rostami, H. N., Ouyang, G., Bayer, M., Schacht, A., Zhou, C., & Sommer, W. (2015). Dissociating the Influence of Affective Word Content and Cognitive Processing Demands on the Late Positive Potential. Brain topography, 1-12.
Wang F, Ouyang G, Zhou C, et al. Re-Examination of Chinese Semantic Processing and Syntactic Processing: Evidence from Conventional ERPs and Reconstructed ERPs by Residue Iteration Decomposition (RIDE)[J]. PloS one, 2015, 10(1).
Ouyang, G., Sommer, W., & Zhou, C. (2015). Updating and validating a new framework for restoring and analyzing latency-variable ERP components from single trials with residue iteration decomposition (RIDE). Psychophysiology, 52(6), 839-856.
Ouyang, G., Sommer, W., & Zhou, C. (2015). A toolbox for residue iteration decomposition (RIDE)--A method for the decomposition, reconstruction, and single trial analysis of event related potentials. Journal of neuroscience methods, 250, 7-21.
Verleger, R., Metzner, M. F., Ouyang, G., Smigasiewicz, K., & Zhou, C. (2014). Testing the stimulus-to-response bridging function of the oddball-p3 by delayed response signals and residue iteration decomposition (RIDE). NeuroImage, 100, 271-280.
Sturmer B., Ouyang G., Zhou C. Boldt A. & Sommer W., Separating Stimulus-Driven and Response-Related LRP Components with Residue Iteration Decomposition (RIDE). (2013). Psychophysiology, 50(1):70-3.
Ouyang G., Schacht A., Zhou C. & Sommer W., Overcoming Limitations of the ERP Method with Residue Iteration Decomposition (RIDE): A Demonstration in Go/Nogo Experiments. (2013). Psychophysiology, 50(3):253-65.
Ouyang, G., Herzmann, G., Zhou, C., & Sommer, W. (2011). Residue Iteration Decomposition (RIDE): a new Method to Separate ERP Components on the Basis of Latency Variability in Single Trials. Psychophysiology, 48(12):1631-47.
RIDE is a method for decomposing and reconstructing ERP and analyzing the trial-to-trial variability information of ERP. It was initiated and developed by Guang Ouyang, Changsong Zhou and Werner Sommer in 2011.
The main utility of RIDE is to overcome the limitation of conventional stimulus-locked average ERP that the waveform is blurred by trial-to-trial latency variability. This limitation leads to many problems such as distortion of ERP waveform and attenuation of ERP effects, and so on.