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- Publisher Website: 10.1111/j.1469-8986.2011.01269.x
- Scopus: eid_2-s2.0-80755188990
- PMID: 21895682
- WOS: WOS:000297294200003
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Article: Residue iteration decomposition (RIDE): A new method to separate ERP components on the basis of latency variability in single trials
Title | Residue iteration decomposition (RIDE): A new method to separate ERP components on the basis of latency variability in single trials |
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Authors | |
Keywords | Component separation Mental chronometry Face recognition Event-related potentials Single-trial responses |
Issue Date | 2011 |
Citation | Psychophysiology, 2011, v. 48, n. 12, p. 1631-1647 How to Cite? |
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. © 2011 Society for Psychophysiological Research. |
Persistent Identifier | http://hdl.handle.net/10722/246760 |
ISSN | 2023 Impact Factor: 2.9 2023 SCImago Journal Rankings: 1.303 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ouyang, Guang | - |
dc.contributor.author | Herzmann, Grit | - |
dc.contributor.author | Zhou, Changsong | - |
dc.contributor.author | Sommer, Werner | - |
dc.date.accessioned | 2017-09-26T04:27:54Z | - |
dc.date.available | 2017-09-26T04:27:54Z | - |
dc.date.issued | 2011 | - |
dc.identifier.citation | Psychophysiology, 2011, v. 48, n. 12, p. 1631-1647 | - |
dc.identifier.issn | 0048-5772 | - |
dc.identifier.uri | http://hdl.handle.net/10722/246760 | - |
dc.description.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. © 2011 Society for Psychophysiological Research. | - |
dc.language | eng | - |
dc.relation.ispartof | Psychophysiology | - |
dc.subject | Component separation | - |
dc.subject | Mental chronometry | - |
dc.subject | Face recognition | - |
dc.subject | Event-related potentials | - |
dc.subject | Single-trial responses | - |
dc.title | Residue iteration decomposition (RIDE): A new method to separate ERP components on the basis of latency variability in single trials | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1111/j.1469-8986.2011.01269.x | - |
dc.identifier.pmid | 21895682 | - |
dc.identifier.scopus | eid_2-s2.0-80755188990 | - |
dc.identifier.volume | 48 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 1631 | - |
dc.identifier.epage | 1647 | - |
dc.identifier.eissn | 1469-8986 | - |
dc.identifier.isi | WOS:000297294200003 | - |
dc.identifier.issnl | 0048-5772 | - |