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      Parallel Regulation of Memory and Emotion Supports the Suppression of Intrusive Memories

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          Abstract

          Intrusive memories often take the form of distressing images that emerge into a person's awareness, unbidden. A fundamental goal of clinical neuroscience is to understand the mechanisms allowing people to control these memory intrusions and reduce their emotional impact. Mnemonic control engages a right frontoparietal network that interrupts episodic retrieval by modulating hippocampal activity; less is known, however, about how this mechanism contributes to affect regulation. Here we report evidence in humans (males and females) that stopping episodic retrieval to suppress an unpleasant image triggers parallel inhibition of mnemonic and emotional content. Using fMRI, we found that regulation of both mnemonic and emotional content was driven by a shared frontoparietal inhibitory network and was predicted by a common profile of medial temporal lobe downregulation involving the anterior hippocampus and the amygdala. Critically, effective connectivity analysis confirmed that reduced amygdala activity was not merely an indirect consequence of hippocampal suppression; rather, both the hippocampus and the amygdala were targeted by a top-down inhibitory control signal originating from the dorsolateral prefrontal cortex. This negative coupling was greater when unwanted memories intruded into awareness and needed to be purged. Together, these findings support the broad principle that retrieval suppression is achieved by regulating hippocampal processes in tandem with domain-specific brain regions involved in reinstating specific content, in an activity-dependent fashion.

          SIGNIFICANCE STATEMENT Upsetting events sometimes trigger intrusive images that cause distress and that may contribute to psychiatric disorders. People often respond to intrusions by suppressing their retrieval, excluding them from awareness. Here we examined whether suppressing aversive images might also alter emotional responses to them, and the mechanisms underlying such changes. We found that the better people were at suppressing intrusions, the more it reduced their emotional responses to suppressed images. These dual effects on memory and emotion originated from a common right prefrontal cortical mechanism that downregulated the hippocampus and amygdala in parallel. Thus, suppressing intrusions affected emotional content. Importantly, participants who did not suppress intrusions well showed increased negative affect, suggesting that suppression deficits render people vulnerable to psychiatric disorders.

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          Most cited references56

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          Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median

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            Partial Least Squares (PLS) methods for neuroimaging: a tutorial and review.

            Partial Least Squares (PLS) methods are particularly suited to the analysis of relationships between measures of brain activity and of behavior or experimental design. In neuroimaging, PLS refers to two related methods: (1) symmetric PLS or Partial Least Squares Correlation (PLSC), and (2) asymmetric PLS or Partial Least Squares Regression (PLSR). The most popular (by far) version of PLS for neuroimaging is PLSC. It exists in several varieties based on the type of data that are related to brain activity: behavior PLSC analyzes the relationship between brain activity and behavioral data, task PLSC analyzes how brain activity relates to pre-defined categories or experimental design, seed PLSC analyzes the pattern of connectivity between brain regions, and multi-block or multi-table PLSC integrates one or more of these varieties in a common analysis. PLSR, in contrast to PLSC, is a predictive technique which, typically, predicts behavior (or design) from brain activity. For both PLS methods, statistical inferences are implemented using cross-validation techniques to identify significant patterns of voxel activation. This paper presents both PLS methods and illustrates them with small numerical examples and typical applications in neuroimaging. Copyright © 2010 Elsevier Inc. All rights reserved.
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              The neural bases of emotion regulation.

              Emotions are powerful determinants of behaviour, thought and experience, and they may be regulated in various ways. Neuroimaging studies have implicated several brain regions in emotion regulation, including the ventral anterior cingulate and ventromedial prefrontal cortices, as well as the lateral prefrontal and parietal cortices. Drawing on computational approaches to value-based decision-making and reinforcement learning, we propose a unifying conceptual framework for understanding the neural bases of diverse forms of emotion regulation.
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                Author and article information

                Journal
                J Neurosci
                J. Neurosci
                jneuro
                jneurosci
                J. Neurosci
                The Journal of Neuroscience
                Society for Neuroscience
                0270-6474
                1529-2401
                5 July 2017
                5 July 2017
                : 37
                : 27
                : 6423-6441
                Affiliations
                [1] 1Normandie Univ, UNICAEN, PSL Research University, EPHE, INSERM, U1077, CHU de Caen, Neuropsychologie et Imagerie de la Mémoire Humaine, 14000 Caen, France,
                [2] 2Bard College, Annandale-on-Hudson, New York 12504,
                [3] 3MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge CB27EF, United Kingdom, and
                [4] 4University of Cambridge, Behavioural and Clinical Neuroscience Institute, Cambridge CB23EB, United Kingdom
                Author notes
                Correspondence should be addressed to Dr. Pierre Gagnepain, Inserm-EPHE-UNICAEN U1077, Centre Cyceron, Boulevard Becquerel, BP 5229, F-14074 Caen Cedex, France. gagnepain@ 123456cyceron.fr

                Author contributions: J.H. and M.C.A. designed research; J.H. performed research; P.G. analyzed data; P.G., J.H., and M.C.A. wrote the paper.

                Author information
                http://orcid.org/0000-0002-2889-0901
                Article
                2732-16
                10.1523/JNEUROSCI.2732-16.2017
                5511877
                28559378
                ce3d14d8-16d5-494a-83b5-a9f9566adf40
                Copyright © 2017 Gagnepain et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.

                History
                : 26 August 2016
                : 12 April 2017
                : 17 April 2017
                Categories
                Research Articles
                Behavioral/Cognitive
                Custom metadata
                true
                cellular

                affect regulation,dynamic causal modeling,emotion,forgetting,inhibitory control,memory suppression

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