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      A negative emotional context disrupts the framing effect on outcome evaluation in decision making under uncertainty: An ERP study

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          Abstract

          The framing effect refers to the phenomenon that different descriptions of the same option lead to a shift in the choice of the decision maker. Several studies have found that emotional contexts irrelevant to a decision in progress still influence the framing effect on decision making. However, little is known about the potential role of emotional contexts in the framing effect on outcome evaluation under uncertainty and the related neural mechanisms. The present study measured event‐related potentials (ERPs) to capture the time series of brain activities during the processing of gain‐ and loss‐framed choices and outcomes primed with neutral and negative emotional contexts. The results revealed that in the neutral emotional context, the P300 amplitudes following both positive and negative feedback were greater in the gain‐framed condition than those in the loss‐framed condition, demonstrating a framing effect, whereas in the negative emotional context, this effect was unstable and observed only following negative feedback. In contrast, regardless of whether the feedback was positive or negative, the framing effect on the feedback‐related negativity (FRN) amplitudes was insensitive to neutral and negative emotional contexts. Furthermore, the time‐frequency analysis showed that the framing effect on the theta power related to the FRN was also insensitive to neutral and negative emotional contexts. Our findings suggest that brain responses to framing effects on outcome evaluation in a later cognitive appraisal stage of decision making under uncertainty may depend on the emotional context, as the effects were observed only following negative feedback in the negative emotional context.

          Abstract

          The framing effect refers to the phenomenon that different descriptions of the same option lead to a shift in the choice of the decision‐maker. This study first uses ERPs to explore the neural mechanism underlying the relationship between emotional contexts and framing effects on outcome evaluation in decision‐making under uncertainty. Findings indicate the negative emotion stimulus disrupts framing effects on the outcome evaluation only in the later cognitive appraisal stage in decision‐making under uncertainty.

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          Most cited references60

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          EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis

          We have developed a toolbox and graphic user interface, EEGLAB, running under the crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial and/or averaged EEG data of any number of channels. Available functions include EEG data, channel and event information importing, data visualization (scrolling, scalp map and dipole model plotting, plus multi-trial ERP-image plots), preprocessing (including artifact rejection, filtering, epoch selection, and averaging), independent component analysis (ICA) and time/frequency decompositions including channel and component cross-coherence supported by bootstrap statistical methods based on data resampling. EEGLAB functions are organized into three layers. Top-layer functions allow users to interact with the data through the graphic interface without needing to use MATLAB syntax. Menu options allow users to tune the behavior of EEGLAB to available memory. Middle-layer functions allow users to customize data processing using command history and interactive 'pop' functions. Experienced MATLAB users can use EEGLAB data structures and stand-alone signal processing functions to write custom and/or batch analysis scripts. Extensive function help and tutorial information are included. A 'plug-in' facility allows easy incorporation of new EEG modules into the main menu. EEGLAB is freely available (http://www.sccn.ucsd.edu/eeglab/) under the GNU public license for noncommercial use and open source development, together with sample data, user tutorial and extensive documentation.
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            Prospect Theory: An Analysis of Decision under Risk

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              Updating P300: an integrative theory of P3a and P3b.

              The empirical and theoretical development of the P300 event-related brain potential (ERP) is reviewed by considering factors that contribute to its amplitude, latency, and general characteristics. The neuropsychological origins of the P3a and P3b subcomponents are detailed, and how target/standard discrimination difficulty modulates scalp topography is discussed. The neural loci of P3a and P3b generation are outlined, and a cognitive model is proffered: P3a originates from stimulus-driven frontal attention mechanisms during task processing, whereas P3b originates from temporal-parietal activity associated with attention and appears related to subsequent memory processing. Neurotransmitter actions associating P3a to frontal/dopaminergic and P3b to parietal/norepinephrine pathways are highlighted. Neuroinhibition is suggested as an overarching theoretical mechanism for P300, which is elicited when stimulus detection engages memory operations.
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                Author and article information

                Contributors
                Journal
                Psychophysiology
                Psychophysiology
                Wiley
                0048-5772
                1469-8986
                April 2023
                November 02 2022
                April 2023
                : 60
                : 4
                Affiliations
                [1 ] Center for Magnetic Resonance Imaging Research & Key Laboratory of Applied Brain and Cognitive Sciences Shanghai International Studies University Shanghai China
                [2 ] College of International Business Shanghai International Studies University Shanghai China
                [3 ] School of Computer and Cyber Sciences Communication University of China Beijing China
                [4 ] School of Education Huaibei Normal University Huaibei China
                [5 ] Anhui Engineering Research Center for Intelligent Computing and Application on Cognitive Behavior Huaibei Normal University Huaibei China
                Article
                10.1111/psyp.14207
                36322605
                832b0870-7399-4bf1-96f0-0795629fde42
                © 2023

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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