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      The Impact of Affective Information on Working Memory: A Pair of Meta-Analytic Reviews of Behavioral and Neuroimaging Evidence

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          Abstract

          Everyday life is defined by goal states that are continuously reprioritized based on available, often affective information. To pursue these goals, individuals need to process and maintain goal-relevant information, while ignoring potentially salient information that distracts resources from these goals. Empirically, this ability has typically been operationalized as working memory (WM) capacity. A growing body of research is investigating the impact of information’s affective salience on WM capacity. In the present review we address this question by exploring the potential differential impact of affective compared with neutral information on WM, and the underlying neural substrates. One-hundred and 65 studies ( N = 7,433) were included in the meta-analysis. Results showed negligible to small ( = −.07–.20) effects of affective information on behavioral measures of WM in healthy individuals ( n = 4,936) that varied as a function of valence and task-relevance. Heterogeneity analyses were significant, demonstrating the need to identify further study-specific factors and individual differences that moderate affective WM. At the neural level (33 studies; n = 683), processing affective versus neutral material during WM tasks was associated with more frequent recruitment of the vlPFC, the amygdala, and the temporo-occipital cortex. In contrast to healthy individuals, across behavioral studies those suffering from mental health problems ( n = 2,041) showed impaired WM accuracy ( = −0.21) in the presence of affective material. These findings highlight the importance of integrating behavioral and neural levels of analysis. Finally, these findings suggest that affective WM capacity may be a transdiagnostic mechanism associated with poor mental health.

          Public Significance Statement

          The behavioral and neuroimaging meta-analyses showed that in psychologically healthy individuals there was limited support for behavioral working memory (WM) performance to be affected by affective information, whereas at the neural level WM in the presence of affective relative to neutral information was associated with differential recruitment of the salience network and the fronto-parietal control network. These findings highlight the importance of combining behavioral and neuroimaging research syntheses. Second, in individuals with mental health problems WM was significantly impaired by affective material. This suggests that WM performance on tasks including affective compared with neutral information may be a sensitive and transdiagnostic cognitive marker of mental health status.

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          The brain basis of emotion: a meta-analytic review.

          Researchers have wondered how the brain creates emotions since the early days of psychological science. With a surge of studies in affective neuroscience in recent decades, scientists are poised to answer this question. In this target article, we present a meta-analytic summary of the neuroimaging literature on human emotion. We compare the locationist approach (i.e., the hypothesis that discrete emotion categories consistently and specifically correspond to distinct brain regions) with the psychological constructionist approach (i.e., the hypothesis that discrete emotion categories are constructed of more general brain networks not specific to those categories) to better understand the brain basis of emotion. We review both locationist and psychological constructionist hypotheses of brain-emotion correspondence and report meta-analytic findings bearing on these hypotheses. Overall, we found little evidence that discrete emotion categories can be consistently and specifically localized to distinct brain regions. Instead, we found evidence that is consistent with a psychological constructionist approach to the mind: A set of interacting brain regions commonly involved in basic psychological operations of both an emotional and non-emotional nature are active during emotion experience and perception across a range of discrete emotion categories.
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            Evidence for a frontoparietal control system revealed by intrinsic functional connectivity.

            Two functionally distinct, and potentially competing, brain networks have been recently identified that can be broadly distinguished by their contrasting roles in attention to the external world versus internally directed mentation involving long-term memory. At the core of these two networks are the dorsal attention system and the hippocampal-cortical memory system, a component of the brain's default network. Here spontaneous blood-oxygenation-level-dependent (BOLD) signal correlations were used in three separate functional magnetic resonance imaging data sets (n = 105) to define a third system, the frontoparietal control system, which is spatially interposed between these two previously defined systems. The frontoparietal control system includes many regions identified as supporting cognitive control and decision-making processes including lateral prefrontal cortex, anterior cingulate cortex, and inferior parietal lobule. Detailed analysis of frontal and parietal cortex, including use of high-resolution data, revealed clear evidence for contiguous but distinct regions: in general, the regions associated with the frontoparietal control system are situated between components of the dorsal attention and hippocampal-cortical memory systems. The frontoparietal control system is therefore anatomically positioned to integrate information from these two opposing brain systems.
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              Cognition and depression: current status and future directions.

              Cognitive theories of depression posit that people's thoughts, inferences, attitudes, and interpretations, and the way in which they attend to and recall information, can increase their risk for depression. Three mechanisms have been implicated in the relation between biased cognitive processing and the dysregulation of emotion in depression: inhibitory processes and deficits in working memory, ruminative responses to negative mood states and negative life events, and the inability to use positive and rewarding stimuli to regulate negative mood. In this review, we present a contemporary characterization of depressive cognition and discuss how different cognitive processes are related not only to each other, but also to emotion dysregulation, the hallmark feature of depression. We conclude that depression is characterized by increased elaboration of negative information, by difficulties disengaging from negative material, and by deficits in cognitive control when processing negative information. We discuss treatment implications of these conclusions and argue that the study of cognitive aspects of depression must be broadened by investigating neural and genetic factors that are related to cognitive dysfunction in this disorder. Such integrative investigations should help us gain a more comprehensive understanding of how cognitive and biological factors interact to affect the onset, maintenance, and course of depression.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                Psychol Bull
                Psychol Bull
                Psychological Bulletin
                American Psychological Association
                0033-2909
                1939-1455
                25 April 2019
                June 2019
                : 145
                : 6
                : 566-609
                Affiliations
                [1 ]Institute of Cognitive Neuroscience, University College London
                [2 ]Department of Psychology, Northeastern University
                [3 ]Department of Psychology, Hebrew University of Jerusalem
                [4 ]School of Psychology, University of Sussex
                [5 ]Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge
                [6 ]Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge and Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
                [7 ]Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, Massachusetts, and Department of Psychology, Northeastern University
                [8 ]Medical Research Council, Cognition and Brain Sciences Unit, University of Cambridge and Cambridgeshire and Peterborough NHS Foundation Trust, Cambridge, United Kingdom
                Author notes
                This research was supported by funding from the United Kingdom Medical Research Council (Project code: MC_US_A060_0019). Susanne Schweizer was supported by the Gates Cambridge Trust and a Sir Henry Wellcome Fellowship (209127/Z/17/Z).
                [*] [* ]Correspondence concerning this article should be addressed to Susanne Schweizer, Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, United Kingdom s.schweizer@ 123456ucl.ac.uk
                Author information
                http://orcid.org/0000-0001-6153-8291
                Article
                bul_145_6_566 2019-22428-001
                10.1037/bul0000193
                6526745
                31021136
                59f103ea-328e-49cd-bd75-0c7be0882d2d
                © 2019 The Author(s)

                This article has been published under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Copyright for this article is retained by the author(s). Author(s) grant(s) the American Psychological Association the exclusive right to publish the article and identify itself as the original publisher.

                History
                : 12 January 2018
                : 4 February 2019
                : 9 February 2019
                Categories
                Articles

                Clinical Psychology & Psychiatry
                working memory,emotion,mental health,frontoparietal control network,salience network

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