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RIDE – a new method for the decomposition of ERPs based on latency variability: Principles and Applications
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发布人：周仁来 发布时间：2014-04-01 浏览次数:76
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时间：2014年4月4日上午9:20 地点：后主楼1318
1 Day WorkshopRIDE – a new Method for the Decomposition of ERPsbased on Latency Variability: Principles and ApplicationsApril 4, 2014, Room 1318School of Psychology, Beijing Normal UniversityCoordinators: Prof.SHU Hua (BNU) and Dr. ZHOU Changsong (HKBU)Problems in ERP analysis and method RIDE:The traditional averaging method to extract event-related potentials (ERPs) from the continuous EEG assumes a fixed temporal relationship between the eliciting event and the ERP components reflecting the neurocognitive processing of these events. This assumption may be substantially violated in many cases,which canseverely distortcomponent latencies and amplitudes and impede proper identification of the spatiotemporal representations of brain activities reflecting specific cognitive sub-processes. However, so far there has been no theoretically satisfying and practically applicable solution for this problem. Recently, the Center for Nonlinear Studies at Hong Kong Baptist University (OUYANG Guang and ZHOU Changsong) and the Department of Psychology at Humboldt University at Berlin (SOMMER Werner) have jointly developed a new method RIDE (Residue Iteration Decomposition), which separates the ERP into differentcomponent clusters, time-locked to external events (stimuli and responses) and to central processes. RIDEprovides a tool to (1) separate overlapping components,(2) provide information about amplitudes and latencies on a single trial basis, and (3) reconstructs the full ERP waveshape, corrected for the distortion effects of latency jitter and component overlap. RIDE has already been successfully applied to several experiments.Aims of the Workshop:The 1-day workshop aims to introduce this new method to active ERP researchers at BNU and other interested institutions in Beijing and discuss potential applications of RIDE. In this workshop we will give an introduction into the principles and computational implementation ofRIDEand illustrate several applications.Colleagues in BNU will present experiments and data where smearing and overlap of components due to trial-to-trial variability could be a special problem. We will then discuss potential applications of RIDE to the experimental data. For colleagues interested in applying RIDE through initial collaborations with us, we could arrange meetings after the workshop to apply our preliminary toolbox of RIDE.Workshop Program
| 9:20—9:30: Opening by Prof. HuaShu | | Morning session: RIDE and ApplicationsFacilitator:HuaShu, Beijing Normal University | | 9:30—10:10 | Changsong Zhou, Hong Kong Baptist University“Restoring Latency-Variable ERP Components from Single Trials: A New Approach to ERP Analysis with Residue Iteration Decomposition (RIDE)” | | 10:10—11:10 | GuangOuyang, Hong Kong Baptist University“Algorithms and toolbox of RIDE” | | 11:10—11:30 | Tea Break | | 11:30—12:20 | Werner Sommer, Humboldt University at Berlin“Applications of RIDE in Neurocognitive Psychology” | | 12:30—14:00 | Lunch | | Afternoon session: Experimental data (30 mins talk+10 mins discussion)and group discussionFacilitator: Werner Sommer, Humboldt University at Berlin | | 14:00—14:40 | Haoyun Zhang, Beijing Normal University“An ERP Study of Proactive and Reactive Control” | | 14:40—15:20 | Chunlei Liu, Beijing Normal University“Interference Inhibition Deficits in children with learning disabilities: ERPs evidence from a numerical Stroop paradigm” | | 15:20—16:00 | Tian Hong, Beijing Normal University“Speech perception in children with cochlear implantation:An ERP study” | | 16:00—16:30 | Tea Break | | 16:30—18:00 | Group discussion on potential applications of RIDE to data at BNU |
References: publications related to RIDEOuyang, 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, 48:1631-1647. Ouyang, G., Schacht, A., Zhou, C., &Sommer, W. (2013). Overcoming limitations of the ERP method with Residue Iteration Decomposition (RIDE): A demonstration in go/no-go experiments. Psychophysiology, 50:253-265. Stürmer, B., Ouyang, G., Zhou, C., Boldt, A., &Sommer, W. (2013). Separating stimulus‐driven and response‐related LRP components with Residue Iteration Decomposition (RIDE). Psychophysiology, 50:70-73. Ouyang, G., Sommer, W., & Zhou, C. Establishing a new paradigm of ERP analysis with Residue Iteration Decomposition (RIDE): restore latency-variable ERP components from single trials, to be submitted. Verleger, R., Metzner, M.F., Ouyang, G., ?migasiewicz, K., & Zhou, C. Testing the stimulus-to-response bridging function of the oddball-P3 by delayed response signals and Residual Iteration Decomposition (RIDE),submitted
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