Literature DB >> 22993433

Neurobiological mechanisms underlying the blocking effect in aversive learning.

Falk Eippert1, Matthias Gamer, Christian Büchel.   

Abstract

Current theories of classical conditioning assume that learning depends on the predictive relationship between events, not just on their temporal contiguity. Here we employ the classic experiment substantiating this reasoning-the blocking paradigm-in combination with functional magnetic resonance imaging (fMRI) to investigate whether human amygdala responses in aversive learning conform to these assumptions. In accordance with blocking, we demonstrate that significantly stronger behavioral and amygdala responses are evoked by conditioned stimuli that are predictive of the unconditioned stimulus than by conditioned stimuli that have received the same pairing with the unconditioned stimulus, yet have no predictive value. When studying the development of this effect, we not only observed that it was related to the strength of previous conditioned responses, but also that predictive compared with nonpredictive conditioned stimuli received more overt attention, as measured by fMRI-concurrent eye tracking, and that this went along with enhanced amygdala responses. We furthermore observed that prefrontal regions play a role in the development of the blocking effect: ventromedial prefrontal cortex (subgenual anterior cingulate) only exhibited responses when conditioned stimuli had to be established as nonpredictive for an outcome, whereas dorsolateral prefrontal cortex also showed responses when conditioned stimuli had to be established as predictive. Most importantly, dorsolateral prefrontal cortex connectivity to amygdala flexibly switched between positive and negative coupling, depending on the requirements posed by predictive relationships. Together, our findings highlight the role of predictive value in explaining amygdala responses and identify mechanisms that shape these responses in human fear conditioning.

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Year:  2012        PMID: 22993433      PMCID: PMC6621462          DOI: 10.1523/JNEUROSCI.1210-12.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  13 in total

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5.  Threat-related learning relies on distinct dorsal prefrontal cortex network connectivity.

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Review 6.  Prefrontal cortical regulation of fear learning.

Authors:  Marieke R Gilmartin; Nicholas L Balderston; Fred J Helmstetter
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7.  Neural signatures of human fear conditioning: an updated and extended meta-analysis of fMRI studies.

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8.  Disrupted Prediction Error Links Excessive Amygdala Activation to Excessive Fear.

Authors:  Auntora Sengupta; Bryony Winters; Elena E Bagley; Gavan P McNally
Journal:  J Neurosci       Date:  2016-01-13       Impact factor: 6.167

Review 9.  Neural substrates of appetitive and aversive prediction error.

Authors:  Mihaela D Iordanova; Joanna Oi-Yue Yau; Michael A McDannald; Laura H Corbit
Journal:  Neurosci Biobehav Rev       Date:  2021-01-13       Impact factor: 8.989

10.  The neurobiology of dispositional negativity and attentional biases to threat: Implications for understanding anxiety disorders in adults and youth.

Authors:  Alexander J Shackman; Melissa D Stockbridge; Rachael M Tillman; Claire M Kaplan; Do P M Tromp; Andrew S Fox; Matthias Gamer
Journal:  J Exp Psychopathol       Date:  2016
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