Influence of aversive cue detection sensitivity on extinction in adult male rats
Cahill, E. N.; Sherman, E. R.; Jollans, J.; Deiana, S.; Hengerer, B.
Show abstract
Threat detection prompts reactions classified either as fear (obvious, predictable, immediate threat) or anxiety (ambiguous, sustained, distant threat). Hypervigilance is a state of sensitivity to threatening stimuli and an attentional bias symptomatic of anxiety disorders. In rodents, threat detection can be measured by freezing behaviour and production of ultrasonic vocalisation (USV) alarm calls. The amygdala is classically associated with fear-like responses, whereas the bed nucleus of the stria terminalis (BNST) has been proposed to be preferentially recruited by anxiogenic stimuli. The conditioned responses triggered by aversive cues can be extinguished through repeated exposure of a subject to the threat stimulus but without any aversive reinforcement. The extent of extinction acquisition and consolidation are notedly variable across individuals. It has been reported that NMDA-type glutamate receptor co-agonists, like D-cycloserine, can enhance extinction consolidation. In the experiments herein, the salience of a threat cue was modified to compare the relative activation of the brain vigilance networks to an obvious cue, and to test whether sensitivity to the aversive cue at such a vigilance screen might predict subsequent ability to extinguish conditioned responses. We demonstrated activation of the BNST by a low salience aversive cue. Rats that had the propensity to make alarm ultrasonic vocalisation calls reacted more strongly to aversive cues and had deficits in conditioned freezing extinction. Finally, we demonstrated the potential to enhance extinction consolidation by targeting glycine transmission. Taken together these results demonstrate how threat detection and responses are sensitive to cue salience and can be manipulated by combined pharmacological and behavioural interventions. HIGHLIGHTS-Auditory cue at low salience revealed attentional bias unrelated to maze behaviour -Low salience cue recruited activation of the BNST -Alarm call vocaliser rats had deficit in extinction consolidation -GlyT1 inhibition enhanced extinction consolidation
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Corticosterone differentially modulates time-dependent fear generalization following mild or moderate fear conditioning training in rats 96%
- Threat imminence dictates the role of the bed nucleus of the stria terminalis in contextual fear 96%
- Ensembles and engrams in mouse cortical and sub-thalamic brain regions supporting context and memory recall. 96%
Similar papers in this journal
- Cannabidiol (CBD) potentiates physiological and behavioral markers of hypothalamic-pituitary-adrenal (HPA) axis responsivity in female and male mice 96%
- Metabotropic group II glutamate receptors in the basolateral amygdala mediate cue-triggered increases in incentive motivation 95%
- The lateral hypothalamus and orexinergic transmission in the paraventricular thalamus promote the attribution of incentive salience to reward-associated cues 95%
Similar papers in this journal
- Nicotine and Opioid Polysubstance Abuse: Enhancement of opioid self-administration by systemic nicotine and modulation of opioid-associated memories by insular nicotine 95%
- Nucleus accumbens acetylcholine receptors modulate the balance of flexible and inflexible cue-directed motivation 95%
- Respiration and brain neural dynamics associated with interval timing during odor fear learning in rats 94%
Similar papers in this journal
- Role of the medial prefrontal cortex in the effects of rapid acting antidepressants on decision-making biases in rodents 95%
- Pretrauma cognitive traits predict trauma-induced fear generalization and associated prefrontal functioning in a longitudinal model of posttraumatic stress disorder 95%
- Prophylactic efficacy of 5-HT4R agonists against stress 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.