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Heeren, Alexandre

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Heeren

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Alexandre

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Heeren, Alexandre
Author's Publications: search.filters.isAuthorOfPublication.fb0c389b-1030-4fb7-a703-ce8bbf734a54

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Now showing 1 - 6 of 6
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    Commentary: A network theory of mental disorders
    (Frontiers Media S.A., 2017) Jones, Payton; Heeren, Alexandre; McNally, Richard
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    Correlates of Social Exclusion in Social Anxiety Disorder: An fMRI study
    (Nature Publishing Group UK, 2017) Heeren, Alexandre; Dricot, Laurence; Billieux, Joël; Philippot, Pierre; Grynberg, Delphine; de Timary, Philippe; Maurage, Pierre
    Cognitive models posit that social anxiety disorder (SAD) is maintained by biased information-processing vis-à-vis threat of social exclusion. However, uncertainty still abounds regarding the very nature of this sensitivity to social exclusion in SAD. Especially, brain alterations related to social exclusion have not been explored in SAD. Our primary purpose was thus to determine both the self-report and neural correlates of social exclusion in this population. 23 patients with SAD and 23 matched nonanxious controls played a virtual game (“Cyberball”) during fMRI recording. Participants were first included by other players, then excluded, and finally re-included. At the behavioral level, patients with SAD exhibited significantly higher levels of social exclusion feelings than nonanxious controls. At the brain level, patients with SAD exhibited significantly higher activation within the left inferior frontal gyrus relative to nonanxious controls during the re-inclusion phase. Moreover, self-report of social exclusion correlates with the activity of this cluster among individuals qualifying for SAD diagnosis. Our pattern of findings lends strong support to the notion that SAD may be better portrayed by a poor ability to recover following social exclusion than during social exclusion per se. These findings value social neuroscience as an innovative procedure to gain new insight into the underlying mechanisms of SAD.
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    Attention bias modification for social anxiety: A systematic review and meta-analysis
    (Elsevier BV, 2015) Heeren, Alexandre; Mogoase, Cristina; Philippot, Pierre; McNally, Richard
    Research on attention bias modification (ABM) for social anxiety disorder (SAD) is inconclusive, with some studies finding clear positive effects and other studies finding no significant benefit relative to control training procedures. In this meta-analysis, we assessed the efficacy of ABM for SAD on symptoms, reactivity to speech challenge, attentional bias (AB) toward threat, and secondary symptoms at posttraining as well as SAD symptoms at 4-month follow-up. A systematic search in bibliographical databases uncovered 15 randomized studies involving 1043 individuals that compared ABM to a control training procedure. Data were extracted independently by two raters. The Q statistic was used to assess homogeneity across trials. All analyses were conducted on intent-to-treat data. ABM produced a small but significant reduction in SAD symptoms (g = 0.27), reactivity to speech challenge (g = 0.46), and AB (g = 0.30). These effects were moderated by characteristics of the ABM procedure, the design of the study, and trait anxiety at baseline. However, effects on secondary symptoms (g = 0.09) and SAD symptoms at 4-month follow-up (g = 0.09) were not significant. Although there was no indication of significant publication bias, the quality of the studies was substandard and wedged the effect sizes. From a clinical point of view, these findings imply that ABM is not yet ready for wide-scale dissemination as a treatment for SAD in routine care. Theoretical implications for the integration of AB in the conceptualization of SAD are discussed.
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    A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse
    (Informa UK Limited, 2017) McNally, Richard; Heeren, Alexandre; Robinaugh, Donald
    Background: The network approach to mental disorders offers a novel framework for conceptualizing posttraumatic stress disorder (PTSD) as a causal system of interacting symptoms. Objective: In this study, we extended this work by estimating the structure of relations among PTSD symptoms in adults reporting personal histories of childhood sexual abuse (CSA; N = 179). Method: We employed two complementary methods. First, using the graphical LASSO, we computed a sparse, regularized partial correlation network revealing associations (edges) between pairs of PTSD symptoms (nodes). Next, using a Bayesian approach, we computed a directed acyclic graph (DAG) to estimate a directed, potentially causal model of the relations among symptoms. Results: For the first network, we found that physiological reactivity to reminders of trauma, dreams about the trauma, and lost of interest in previously enjoyed activities were highly central nodes. However, stability analyses suggest that these findings were unstable across subsets of our sample. The DAG suggests that becoming physiologically reactive and upset in response to reminders of the trauma may be key drivers of other symptoms in adult survivors of CSA. Conclusions: Our study illustrates the strengths and limitations of these network analytic approaches to PTSD.
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    A Bayesian network analysis of posttraumatic stress disorder symptoms in adults reporting childhood sexual abuse
    (Taylor & Francis, 2017) McNally, Richard; Heeren, Alexandre; Robinaugh, Donald
    ABSTRACT Background: The network approach to mental disorders offers a novel framework for conceptualizing posttraumatic stress disorder (PTSD) as a causal system of interacting symptoms. Objective: In this study, we extended this work by estimating the structure of relations among PTSD symptoms in adults reporting personal histories of childhood sexual abuse (CSA; N = 179). Method: We employed two complementary methods. First, using the graphical LASSO, we computed a sparse, regularized partial correlation network revealing associations (edges) between pairs of PTSD symptoms (nodes). Next, using a Bayesian approach, we computed a directed acyclic graph (DAG) to estimate a directed, potentially causal model of the relations among symptoms. Results: For the first network, we found that physiological reactivity to reminders of trauma, dreams about the trauma, and lost of interest in previously enjoyed activities were highly central nodes. However, stability analyses suggest that these findings were unstable across subsets of our sample. The DAG suggests that becoming physiologically reactive and upset in response to reminders of the trauma may be key drivers of other symptoms in adult survivors of CSA. Conclusions: Our study illustrates the strengths and limitations of these network analytic approaches to PTSD.