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The Unpredictive Brain Under Threat: A Neurocomputational Account of Anxious Hypervigilance.
Cornwell, Brian R; Garrido, Marta I; Overstreet, Cassie; Pine, Daniel S; Grillon, Christian.
Afiliação
  • Cornwell BR; Brain and Psychological Sciences Research Centre, Faculty of Health, Arts and Design, Swinburne University of Technology, Hawthorn, Australia; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland. Electronic address: bcornwell@swin.edu.au.
  • Garrido MI; Queensland Brain Institute, Centre for Advanced Imaging and ARC Centre of Excellence for Integrative Brain Function, University of Queensland, Brisbane, Australia; School of Mathematics and Physics, University of Queensland, Brisbane, Australia.
  • Overstreet C; Psychology Department, Virginia Commonwealth University, Richmond, Virginia.
  • Pine DS; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
  • Grillon C; National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.
Biol Psychiatry ; 82(6): 447-454, 2017 09 15.
Article em En | MEDLINE | ID: mdl-28838469
ABSTRACT

BACKGROUND:

Anxious hypervigilance is marked by sensitized sensory-perceptual processes and attentional biases to potential danger cues in the environment. How this is realized at the neurocomputational level is unknown but could clarify the brain mechanisms disrupted in psychiatric conditions such as posttraumatic stress disorder. Predictive coding, instantiated by dynamic causal models, provides a promising framework to ground these state-related changes in the dynamic interactions of reciprocally connected brain areas.

METHODS:

Anxiety states were elicited in healthy participants (n = 19) by exposure to the threat of unpredictable, aversive shocks while undergoing magnetoencephalography. An auditory oddball sequence was presented to measure cortical responses related to deviance detection, and dynamic causal models quantified deviance-related changes in effective connectivity. Participants were also administered alprazolam (double-blinded, placebo-controlled crossover) to determine whether the cortical effects of threat-induced anxiety are reversed by acute anxiolytic treatment.

RESULTS:

Deviant tones elicited increased auditory cortical responses under threat. Bayesian analyses revealed that hypervigilant responding was best explained by increased postsynaptic gain in primary auditory cortex activity as well as modulation of feedforward, but not feedback, coupling within a temporofrontal cortical network. Increasing inhibitory gamma-aminobutyric acidergic action with alprazolam reduced anxiety and restored feedback modulation within the network.

CONCLUSIONS:

Threat-induced anxiety produced unbalanced feedforward signaling in response to deviations in predicable sensory input. Amplifying ascending sensory prediction error signals may optimize stimulus detection in the face of impending threats. At the same time, diminished descending sensory prediction signals impede perceptual learning and may, therefore, underpin some of the deleterious effects of anxiety on higher-order cognition.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2017 Tipo de documento: Article