P.3.03 Seven days of citalopram reduces sensitivity to negative appraisal in a probabilistic learning task

2008 ◽  
Vol 18 ◽  
pp. s64-s65
Author(s):  
M. Browning ◽  
S. Rudebeck ◽  
S.E. Murphy ◽  
P.J. Cowen ◽  
C.J. Harmer
2008 ◽  
Vol 18 ◽  
pp. S169-S170
Author(s):  
M. Browning ◽  
S. Rudebeck ◽  
S.E. Murphy ◽  
P.J. Cowen ◽  
C.J. Harmer

2020 ◽  
pp. 108705472090509 ◽  
Author(s):  
Marjolein Luman ◽  
Tieme W. P. Janssen ◽  
Marleen Bink ◽  
Rosa van Mourik ◽  
Athanasios Maras ◽  
...  

Objective: The current study examined instrumental learning in ADHD. Method: A total of 58 children with ADHD and 58 typically developing (TD) children performed a probabilistic learning task using three reward probability conditions (100%, 85%, 70% reward). After a learning phase, application of what was learned was assessed in a test phase. Results: Results showed that children with ADHD performed less accurate compared with TD children during the learning phase, particularly in the 100% and 85% reward probability conditions. These findings were accompanied by a blunted learning rate in the first few task trials. Furthermore, children with ADHD showed poorer application of what was learned. Conclusion: To conclude, children with ADHD show initial learning problems, but increased performance in a similar manner as TD children independent of the probability of reward, although they fail to apply their knowledge. Findings are of clinical relevance as the application of knowledge is important to successfully adapt to daily challenges in life.


PLoS ONE ◽  
2015 ◽  
Vol 10 (4) ◽  
pp. e0119456 ◽  
Author(s):  
Katherine S. Button ◽  
Daphne Kounali ◽  
Lexine Stapinski ◽  
Ronald M. Rapee ◽  
Glyn Lewis ◽  
...  

2011 ◽  
Vol 127 (1-3) ◽  
pp. 215-222 ◽  
Author(s):  
Zuzana Kasanova ◽  
James A. Waltz ◽  
Gregory P. Strauss ◽  
Michael J. Frank ◽  
James M. Gold

2021 ◽  
Author(s):  
James F Cavanagh ◽  
Sarah Olguin ◽  
Jo Talledo ◽  
Juliana Kotz ◽  
Benjamin Roberts ◽  
...  

The development of pro-cognitive therapeutics for psychiatric disorders has been beset with difficulties. This is in part due to the absence of pharmacologically-sensitive cognitive biomarkers common to humans and rodents. Here, we describe a cross-species translational measure of reward processing that is sensitive to the dopamine agonist, d-amphetamine. Motivated by human electroencephalographic (EEG) findings, we recently reported that frontal midline delta-band power is also an electrophysiological biomarker of reward surprise in mice. Here, we determined the impact on this reward-related EEG response from humans (n=23) and mice (n=28) performing a probabilistic learning task under parametric doses of d-amphetamine (human: placebo, 10 mg, 20 mg; mice: placebo, 0.1 mg/kg, 0.3 mg.kg, 1.0 mg/kg). In humans, d-amphetamine boosted the Reward Positivity event-related potential (ERP) component as well as the spectral delta-band representation of this signal. In mice, only the Reward Positivity ERP component was significantly boosted by d-amphetamine. In sum, the present results confirm the role of dopamine in the generation of the Reward Positivity, and support the first pharmacologically valid biomarker of reward sensitivity across species.


2019 ◽  
Vol 71 (6) ◽  
pp. 1310
Author(s):  
Judyta Jabłońska ◽  
Łukasz Szumiec ◽  
Jan Rodriguez Parkitna

2018 ◽  
Vol 7 (3) ◽  
pp. 502-515 ◽  
Author(s):  
Lucas S. LaFreniere ◽  
Michelle G. Newman

This experiment examined learning tendencies in generalized anxiety disorder (GAD) using reinforcement feedback for probabilistic outcomes. One hundred sixty-six GAD and 105 non-GAD participants were randomized to a computerized probabilistic learning task that used either negative or positive reinforcement. Participants chose between stimuli with specific probabilities of reinforcement to learn which of each pair had the highest probability. Reinforced choices either removed an angry face (negative reinforcement) or made a happy face appear (positive reinforcement). Results showed that those with GAD learned the correct probabilistic choices at a slower rate over time and to a lesser degree than control participants regardless of reinforcement type. Estimations of the likelihood of receiving a good outcome posttask were also more inaccurate for those with GAD, especially when true likelihoods were high. Furthermore, compared with control participants, those with GAD reported lower perceived reinforcement sensitivity, higher behavioral inhibition sensitivity, and higher undesirable feelings toward probabilistic learning.


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