2018
DOI: 10.1016/j.neuroimage.2018.03.017
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Neurophysiological processes and functional neuroanatomical structures underlying proactive effects of emotional conflicts

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Cited by 17 publications
(9 citation statements)
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“…In that study, an adverse effect of negative emotion processing on response inhibition was only observed when inhibitory demands co-occurred with high working memory demands. Similar effects were recently shown for performance in an emotional conflict task (Schreiter, Chmielewski, & Beste, 2018).…”
Section: The Dual Competition Frameworksupporting
confidence: 86%
“…In that study, an adverse effect of negative emotion processing on response inhibition was only observed when inhibitory demands co-occurred with high working memory demands. Similar effects were recently shown for performance in an emotional conflict task (Schreiter, Chmielewski, & Beste, 2018).…”
Section: The Dual Competition Frameworksupporting
confidence: 86%
“…Therefore, only specific subprocesses during the resolution of perceptual-attentional conflicts are modulated by MPH. Although, RIDE was developed to account for intraindividual variability in EEG data (Ouyang et al, 2011;Ouyang et al, 2015a), it can be applied to distinguish coexisting coding levels that occur during conflict monitoring Mückschel, Dippel, & Beste, 2017;Schreiter, Chmielewski, & Beste, 2018;Wolff, Mückschel, & Beste, 2017). Although, RIDE was developed to account for intraindividual variability in EEG data (Ouyang et al, 2011;Ouyang et al, 2015a), it can be applied to distinguish coexisting coding levels that occur during conflict monitoring Mückschel, Dippel, & Beste, 2017;Schreiter, Chmielewski, & Beste, 2018;Wolff, Mückschel, & Beste, 2017).…”
mentioning
confidence: 99%
“…Previous work indicating very specific effects of the NE system during processes related to conflict monitoring used a specific EEG signal decomposition technique-residue iteration decomposition (RIDE) (Ouyang, Herzmann, Zhou, & Sommer, 2011;Ouyang, Sommer, & Zhou, 2015a). Although, RIDE was developed to account for intraindividual variability in EEG data (Ouyang et al, 2011;Ouyang et al, 2015a), it can be applied to distinguish coexisting coding levels that occur during conflict monitoring Mückschel, Dippel, & Beste, 2017;Schreiter, Chmielewski, & Beste, 2018;Wolff, Mückschel, & Beste, 2017). RIDE decomposes the EEG signal in three clusters (Ouyang et al, 2011;Ouyang et al, 2015a): The S-cluster refers to stimulus-related processes (e.g., sensory encoding, sensory attention, and perception), the R-cluster refers to response-related processes (e.g., motor execution) and the C-cluster refers to intermediate processes between S and R (e.g., top-down attentional control and response selection).…”
mentioning
confidence: 99%
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“…Processes linked to stimulus perception and encoding are assumed to be reflected by the S-cluster whereas the R-cluster is associated with preparing and executing a response. Processes occurring in between including evaluating stimulus input or translating the stimulus into a specific response are assumed to be covered by the C-cluster 26,29,32,33 .…”
mentioning
confidence: 99%