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      A negative emotional state impairs individuals’ ability to filter distractors from working memory: an ERP study

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          Abstract

          Capacity-limited visual working memory (VWM) requires that individuals have sufficient memory space and the ability to filter distractors. Negative emotional states are known to impact VWM storage, yet their influence on distractor filtering within VWM remains underexplored. We conducted direct neural measurement of participants (n = 56) who conducted a lateralized change detection task with distractors, while manipulating the emotional state by presenting neutral or negative images before each trial. We found a detrimental effect of distractors on memory accuracy under both neutral and negative emotional states. Using the event-related potential (ERP) component, contralateral delay activity (CDA; sensitive to VWM load), to observe the VWM load in each condition, we found that in the neutral state, the participants showed significantly higher late CDA amplitudes when remembering 4 targets compared with 2 targets and 2 targets with 2 distractors but no significant difference when remembering 2 targets compared with 2 targets with 2 distractors. In the negative state, no significant CDA amplitude differences were evident when remembering 4 targets and 2 targets, but CDA was significantly higher when remembering 2 targets with 2 distractors compared with 2 targets. These results suggest that the maximum number of items participants could store in VWM was lower under negative emotional states than under neutral emotional states. Importantly, the participants could filter out distractors when in a neutral emotional state but not in a negative emotional state, indicating that negative emotional states impair their ability to filter out distractors in VWM.

          Supplementary Information

          The online version contains supplementary material available at 10.3758/s13415-024-01166-z.

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          Most cited references53

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            Development and validation of brief measures of positive and negative affect: The PANAS scales.

            In recent studies of the structure of affect, positive and negative affect have consistently emerged as two dominant and relatively independent dimensions. A number of mood scales have been created to measure these factors; however, many existing measures are inadequate, showing low reliability or poor convergent or discriminant validity. To fill the need for reliable and valid Positive Affect and Negative Affect scales that are also brief and easy to administer, we developed two 10-item mood scales that comprise the Positive and Negative Affect Schedule (PANAS). The scales are shown to be highly internally consistent, largely uncorrelated, and stable at appropriate levels over a 2-month time period. Normative data and factorial and external evidence of convergent and discriminant validity for the scales are also presented.
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              Bayesian t tests for accepting and rejecting the null hypothesis.

              Progress in science often comes from discovering invariances in relationships among variables; these invariances often correspond to null hypotheses. As is commonly known, it is not possible to state evidence for the null hypothesis in conventional significance testing. Here we highlight a Bayes factor alternative to the conventional t test that will allow researchers to express preference for either the null hypothesis or the alternative. The Bayes factor has a natural and straightforward interpretation, is based on reasonable assumptions, and has better properties than other methods of inference that have been advocated in the psychological literature. To facilitate use of the Bayes factor, we provide an easy-to-use, Web-based program that performs the necessary calculations.
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                Author and article information

                Contributors
                lq780614@163.com
                Journal
                Cogn Affect Behav Neurosci
                Cogn Affect Behav Neurosci
                Cognitive, Affective & Behavioral Neuroscience
                Springer US (New York )
                1530-7026
                1531-135X
                13 February 2024
                13 February 2024
                2024
                : 24
                : 3
                : 491-504
                Affiliations
                [1 ]Institute of Brain and Psychological Sciences, Sichuan Normal University, ( https://ror.org/043dxc061) 610068 Chengdu, China
                [2 ]Department of Psychology, University of Jyvaskyla, ( https://ror.org/05n3dz165) 40014 Jyvaskyla, Finland
                [3 ]Center for Machine Vision and Signal Analysis, University of Oulu, ( https://ror.org/03yj89h83) 90014 Oulu, Finland
                [4 ]Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, ( https://ror.org/04c3cgg32) 116029 Dalian, China
                Author information
                http://orcid.org/0000-0001-9227-7928
                Article
                1166
                10.3758/s13415-024-01166-z
                11078828
                38351397
                29e14288-8f2f-4b93-bcd2-05219407fa5d
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 January 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31970989
                Funded by: FundRef http://dx.doi.org/10.13039/501100002341, Academy of Finland;
                Award ID: 355369
                Funded by: University of Jyväskylä (JYU)
                Categories
                Research Article
                Custom metadata
                © The Psychonomic Society, Inc. 2024

                Neurosciences
                negative emotion,contralateral delay activity,distractor filtering,visual short-term memory

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