Cognitive dissonance resolution depends on executive functions and frontal lobe integrity

Tandetnik, Caroline; Sohier, Elisa; Laurent, Césari; Boullay, V. du; Obadia, Michaël; Chammat, Mariam; Pyatigorskaia, Nadya; Naccache, Lionel

doi:10.1016/j.cortex.2021.02.018

Cited by 6 publications

(6 citation statements)

References 21 publications

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“…We confirmed this hypothesis by testing such patients and by showing that conscious episodic memory of past choices is mandatory but not sufficient for CIPC to occur (Tandetnik et al. 2021 ). Anecdotally, one of us (LN) followed a patient with fronto-temporal dementia from an early stage of disease.…”

Section: A 5-stages Model Of Fndsupporting

confidence: 61%

“…More specifically we predicted that such patients should not show CIPC even for remembered items, and could confirm this prediction (Tandetnik et al. 2021 ). In another study conducted in healthy participants, we enriched the scope of GNW-Murmur in this free choice paradigm, by incidental priming of self-coherence (or self-incoherence) by exposing participants to suggestive quotes displayed as screen savers in a simulated pause within the experiment (Hagege et al.…”

Section: Gnwt Account Of Conscious Influences On Unconscious Processessupporting

confidence: 58%

“… 2019 ; Tandetnik et al. 2021 ). Interestingly, individuals never report a conscious feeling of agentivity of this CIPC who still requires them to be conscious of their previous choices.…”

Section: Gnwt Account Of Conscious Influences On Unconscious Processesmentioning

confidence: 99%

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A global neuronal workspace model of functional neurological disorders

Naccache,

Munoz-Musat

2024

Dialogues in Clinical Neuroscience

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We introduce here a general model of Functional Neurological Disorders based on the following hypothesis: a Functional Neurological Disorder could correspond to a consciously initiated voluntary top-down process causing involuntary lasting consequences that are consciously experienced and subjectively interpreted by the patient as involuntary. We develop this central hypothesis according to Global Neuronal Workspace theory of consciousness, that is particularly suited to describe interactions between conscious and non-conscious cognitive processes. We then present a list of predictions defining a research program aimed at empirically testing their validity. Finally, this general model leads us to reinterpret the long-debated links between hypnotic suggestion and functional neurological disorders. Driven by both scientific and therapeutic goals, this theoretical paper aims at bringing closer the psychiatric and neurological worlds of functional neurological disorders with the latest developments of cognitive neuroscience of consciousness.

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Section: A 5-stages Model Of Fndsupporting

confidence: 61%

Section: Gnwt Account Of Conscious Influences On Unconscious Processessupporting

confidence: 58%

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A global neuronal workspace model of functional neurological disorders

Naccache,

Munoz-Musat

2024

Dialogues in Clinical Neuroscience

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“…Other studies have included conditions where: ratings were made by participants, but choices were made by the computer (Salti et al, 2014); choices were implicit, rather than explicit (Alós-Ferrer et al, 2012); or participants were blind to the choices as they made them (Izuma et al, 2015;Johansson et al, 2014;Luo & Yu, 2017;Miyagi et al, 2017;Nakamura & Kawabata, 2013;Sharot et al, 2010;Taya et al, 2014). The SoA effect has thus been shown to be highly robust, supported by many recent studies published even after the revelation of the statistical artifact explanation (Chammat et al, 2017;Colosio et al, 2017;Coppin et al, 2012Coppin et al, , 2014Greenberg & Spiller, 2016;Hagège et al, 2018;Ito et al, 2019;Izuma et al, 2010;Koster et al, 2015;Lee & Coricelli, 2020;Lee & Daunizeau, 2020Lee & Holyoak, 2021a, 2021bSharot et al, 2012;Tandetnik et al, 2021;Voigt et al, 2017Voigt et al, , 2019; see (Enisman et al, 2021) for a meta-analysis. This suggests that while the statistical artifact aspect of SoA may be valid, it is not enough to rule out true choice-induced preference changes.…”

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confidence: 95%

Changes in Preferences Reported After Choices Are Informative, Not Merely Statistical Artifacts

Lee¹,

Pezzulo²

2022

Preprint

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Decades of research has shown that people rate things more favorably if they have recently chosen them and less favorably if they have recently rejected them. This spreading apart of the ratings of the alternative options (“spreading of alternatives” or SoA) has been described as choice-induced preference change, where the act of choosing causes evaluations to systematically differ after choices relative to before. Recent work pointed out that SoA can be detected in the data even without it being caused by a choice. This statistical artifact as a potential source of SoA has discouraged researchers from continuing to investigate the phenomenon, impeding progress in the field. Furthermore, those researchers who have persevered rely on experimental control conditions, which rule out the statistical artifact explanation without providing any insight into the true source of SoA. Here, we present a novel approach to control for the statistical artifact explanation through the use of simulation analysis. Our approach provides a logical and computational manner of distinguishing the possible sources of SoA in experimental data that is quick and easy to implement. We demonstrate our approach by comparing theoretical predictions of the statistical artifact and other possible explanations of SoA with empirical data, and show that the statistical artifact alone cannot account for the data.

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“…In each of these studies, SoA was significantly greater in the standard condition relative to the control conditions. The SoA effect has thus been shown to be highly robust, supported by many recent studies published even after the revelation of the statistical artifact explanation (Chammat et al, 2017;Colosio et al, 2017;Coppin et al, 2012Coppin et al, , 2014Greenberg & Spiller, 2016;Hagège et al, 2018;Ito et al, 2019;Izuma et al, 2010;Koster et al, 2015;Lee & Coricelli, 2020;Lee & Daunizeau, 2020Lee & Hare, 2023;Lee & Holyoak, 2021a, 2021bSharot et al, 2012;Tandetnik et al, 2021;Voigt et al, 2017Voigt et al, , 2019; see (Enisman et al, 2021) for a meta-analysis. This suggests that while the statistical artifact may contribute to observed measures of SoA, it is not enough to rule out true choice-induced preference changes.…”

mentioning

confidence: 76%

Changes in preferences reported after choices are informative, not merely statistical artifacts.

Lee¹,

Pezzulo²

2023

Decision

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Decades of research has shown that people rate things more favorably if they have recently chosen them and less favorably if they have recently rejected them. This spreading apart of the ratings of the alternative options ("spreading of alternatives" or SoA) has been described as choice-induced preference change, where the act of choosing causes evaluations to systematically differ after choices relative to before. An important study pointed out that SoA can be detected in the data even without it being caused by a choice, as the result of a statistical artifact. This potential alternative source of SoA has encumbered researchers who investigate the phenomenon, impeding progress in the field-and a deeper investigation of the cognitive mechanisms behind SoA. Here, we present a novel approach to control for the statistical artifact explanation through the use of regression analysis supported by computational simulations. Our approach provides a logical and computational manner of distinguishing the possible sources of SoA in experimental data that is quick and easy to implement. We demonstrate our approach by comparing theoretical predictions of the statistical artifact and other possible explanations of SoA with empirical data and show that the statistical artifact alone cannot account for the data.

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Cognitive dissonance resolution depends on executive functions and frontal lobe integrity

Cited by 6 publications

References 21 publications

A global neuronal workspace model of functional neurological disorders

A global neuronal workspace model of functional neurological disorders

Changes in Preferences Reported After Choices Are Informative, Not Merely Statistical Artifacts

Changes in preferences reported after choices are informative, not merely statistical artifacts.

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