No intolerance of errors: The effect of intolerance of uncertainty on performance monitoring revisited

Malbec, Marcelo; Hindmarsh, Joshua N; Jongerling, Joran; Franken, Ingmar H. A.; Wieser, Matthias

doi:10.1016/j.ijpsycho.2022.07.001

Cited by 5 publications

(1 citation statement)

References 77 publications

(145 reference statements)

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“…IU consists of two related but distinct factors, namely prospective (measuring anxiety and the urge to act in the face of uncertainty) and inhibitory IU (measuring avoidance and inhibition of action under uncertainty), the latter of which is associated with reduced ERN and faster response times on a conflict detection task (Jackson et al, 2016) and is hence congruent with electrophysiological findings linked to conservatism (Amodio et al, 2007). Although, a more recent study reports mixed evidence for the link between inhibitory IU and altered ERN (Malbec et al, 2022).…”

Section: Introductionmentioning

confidence: 94%

Error- and inhibitory-related brain activity associated with political ideology: A multi-site replication study

Marzuki¹,

Gloy²,

Kandler³

et al. 2023

Preprint

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The relationship between political ideology and brain activity has captured the fascination of scientists and the public alike. Using approaches from cognitive neuroscience to provide insights into deeply held and personal beliefs requires careful navigation, with the application of robust methods that generate replicable results. A hallmark study in this area from Amodio et al. (2007) reported that brain components reflective of conflict monitoring and inhibition (namely the ERN [error-related negativity] and N2) are heightened in individuals who self-identify as liberal compared to conservative. While the study is highly influential and well-cited in the scientific literature, no direct replications of their findings exist and as such, this work was selected as a target replication for the #EEGManyLabs initiative. This cross-cultural multi-site study (N=320) will conduct a thorough replication of the Amodio et al. (2007) study, strictly adhering to the original protocol, namely by administering a Go/No-Go task with simultaneous EEG recording and a one-item scale asking participants to rate the extent to which they are liberal or conservative. We will supplement the original study with new measures that may better correspond to political identity in non-US contexts, such as religiosity, dogmatism, and traditionalism. In line with the original study, we will conduct correlational analyses between self-identified liberalism and ERN/N2 amplitudes. In addition, Bayesian linear regressions will be used to provide robust estimates of the strength of association between other components of political ideology and electrophysiological signals.

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Section: Introductionmentioning

confidence: 94%