2020
DOI: 10.1007/s11571-020-09631-4
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Characterizing the brain’s dynamical response from scalp-level neural electrical signals: a review of methodology development

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Cited by 16 publications
(33 citation statements)
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“…The RIDE temporal decomposition method was used for trial-to-trial variability-based analysis of the stimulus-locked ERPs. RIDE aims to distinguish components with variable intercomponent delays based on the single trial latency variability information (Ouyang et al, 2015;Ouyang and Zhou, 2020). The single-trial ERPs are decomposed into different components with differential latency variability.…”
Section: Residue Iteration Decompositionmentioning
confidence: 99%
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“…The RIDE temporal decomposition method was used for trial-to-trial variability-based analysis of the stimulus-locked ERPs. RIDE aims to distinguish components with variable intercomponent delays based on the single trial latency variability information (Ouyang et al, 2015;Ouyang and Zhou, 2020). The single-trial ERPs are decomposed into different components with differential latency variability.…”
Section: Residue Iteration Decompositionmentioning
confidence: 99%
“…In the current study, we used the RIDE toolbox in Matlab (Mathworks, Inc., Massachusetts, USA), and followed the protocols of earlier studies (Mückschel et al, 2017a;Ouyang et al, 2011;Verleger et al, 2014). For a review of previous RIDE applications, please see Ouyang and Zhou (2020). In two cluster types, latency information was extracted based on existing marker information.…”
Section: Residue Iteration Decompositionmentioning
confidence: 99%
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