ORCID Profile
0000-0002-5904-4257
Current Organisation
KU Leuven
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Publisher: Springer Science and Business Media LLC
Date: 30-06-2015
DOI: 10.1038/MP.2015.88
Abstract: Classical Pavlovian fear conditioning remains the most widely employed experimental model of fear and anxiety, and continues to inform contemporary pathophysiological accounts of clinical anxiety disorders. Despite its widespread application in human and animal studies, the neurobiological basis of fear conditioning remains only partially understood. Here we provide a comprehensive meta-analysis of human fear-conditioning studies carried out with functional magnetic resonance imaging (fMRI), yielding a pooled s le of 677 participants from 27 independent studies. As a distinguishing feature of this meta-analysis, original statistical brain maps were obtained from the authors of 13 of these studies. Our primary analyses demonstrate that human fear conditioning is associated with a consistent and robust pattern of neural activation across a hypothesized genuine network of brain regions resembling existing anatomical descriptions of the 'central autonomic-interoceptive network'. This finding is discussed with a particular emphasis on the neural substrates of conscious fear processing. Our associated meta-analysis of functional deactivations-a scarcely addressed dynamic in fMRI fear-conditioning studies-also suggests the existence of a coordinated brain response potentially underlying the 'safety signal' (that is, non-threat) processing. We attempt to provide an integrated summary on these findings with the view that they may inform ongoing studies of fear-conditioning processes both in healthy and clinical populations, as investigated with neuroimaging and other experimental approaches.
Publisher: Elsevier BV
Date: 07-2019
Publisher: Elsevier BV
Date: 05-2018
DOI: 10.1016/J.NEUBIOREV.2018.03.002
Abstract: The study of fear extinction represents an important ex le of translational neuroscience in psychiatry and promises to improve the understanding and treatment of anxiety and fear-related disorders. We present the results of a set of meta-analyses of human fear extinction studies in healthy participants, conducted with functional magnetic resonance imaging (fMRI) and reporting whole-brain results. Meta-analyses of fear extinction learning primarily implicate consistent activation of brain regions linked to threat appraisal and experience, including the dorsal anterior cingulate and anterior insular cortices. An overlapping anatomical result was obtained from the meta-analysis of extinction recall studies, except when studies directly compared an extinguished threat stimulus to an unextinguished threat stimulus (instead of a safety stimulus). In this latter instance, more consistent activation was observed in dorsolateral and ventromedial prefrontal cortex regions, together with other areas including the hippoc us. While our results partially support the notion of a shared neuroanatomy between human and rodent models of extinction processes, they also encourage an expanded account of the neural basis of human fear extinction.
Publisher: Elsevier BV
Date: 05-2017
DOI: 10.1016/J.NEUROIMAGE.2017.02.080
Abstract: Human functional magnetic resonance imaging (fMRI) studies suggest that the ventromedial prefrontal cortex (vmPFC) contributes to the learned discrimination of threat and safety signals, although its precise contribution to these processes remains unclear. One hypothesis is that the vmPFC supports the positive affective processing of safety signals linked to their implicit stress-relieving properties. We set out to test this hypothesis and to examine the specificity of vmPFC responses to safety signal processing versus its high level of 'default mode' activity. Sixty participants completed an fMRI conditioning task that involved the generation of a conditioned threat (CS+) and safety (CS-) signal following the completion of a pre-conditioning baseline. Confirming past findings, activation of the vmPFC and other midline cortical and parietal areas - broadly resembling the default mode network - robustly discriminated between the CS- and CS+. However, when adjusting for this network's characteristic 'baseline' activity, only a subset of regions, including the vmPFC, was activated by the CS-. Regional selectivity for safety signal processing was confirmed by demonstrating a significant correlation between the magnitude of vmPFC responses and self-rated positive affect evoked by the CS-. Taken together, our current findings confirm a link between human vmPFC activity and the positive affective processing of safety signals. We discuss these findings with regards a broader model of human vmPFC function and its suggested higher-order contribution to emotionally adaptive behavior.
Publisher: Elsevier BV
Date: 09-2019
DOI: 10.1016/J.NEUBIOREV.2019.06.029
Abstract: Cognitive reappraisal and fear extinction learning represent two different approaches to emotion regulation. While their respective neural correlates have been widely studied with functional magnetic resonance imaging (fMRI), few direct comparisons between these processes have been conducted. We conducted a meta-analysis of fMRI studies of reappraisal and fear extinction, with the aim of examining both commonalities and differences in their neural correlates. We also conducted independent analyses that focused on specific reappraisal strategies (reinterpretation, distancing). Overall, we observed that the dorsal anterior cingulate cortex (dACC) and the bilateral anterior insular cortex (AIC) were similarly consistently engaged by reappraisal and extinction. Extinction was more consistently linked to activation of sensory and emotion processing regions, whereas reappraisal was more consistently associated with activation of a dorsal fronto-parietal network. Interestingly, the amygdala was preferentially deactivated by distancing. These results suggest that the dACC and the AIC are involved in domain-general regulatory networks. Differences between extinction and reappraisal could be explained by their relative processing demands on visual perceptual versus higher cognitive neural systems.
No related grants have been discovered for Bram Vervliet.