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[HTML][HTML] Present and future antipsychotic drugs: A systematic review of the putative mechanisms of action for efficacy and a critical appraisal under a translational …
A de Bartolomeis, A Barone, V Begni, MA Riva - Pharmacological research, 2022 - Elsevier
Antipsychotics represent the mainstay of schizophrenia pharmacological therapy, and their
role has been expanded in the last years to mood disorders treatment. Although introduced …
role has been expanded in the last years to mood disorders treatment. Although introduced …
Dopamine regulates decision thresholds in human reinforcement learning in males
Dopamine fundamentally contributes to reinforcement learning, but recent accounts also
suggest a contribution to specific action selection mechanisms and the regulation of …
suggest a contribution to specific action selection mechanisms and the regulation of …
Dopaminergic challenge dissociates learning from primary versus secondary sources of information
Some theories of human cultural evolution posit that humans have social-specific learning
mechanisms that are adaptive specialisations moulded by natural selection to cope with the …
mechanisms that are adaptive specialisations moulded by natural selection to cope with the …
Dopaminergic modulation of human intertemporal choice: A diffusion model analysis using the D2-receptor antagonist haloperidol
The neurotransmitter dopamine is implicated in diverse functions, including reward
processing, reinforcement learning, and cognitive control. The tendency to discount future …
processing, reinforcement learning, and cognitive control. The tendency to discount future …
Reactive astrocytes targeting with oral vitamin A: Efficient neuronal regeneration for Parkinson's disease treatment and reversal of associated liver fibrosis
NS El‐Mezayen, MAM Attia, MY Shafik… - CNS Neuroscience …, 2023 - Wiley Online Library
Introduction A recent approach to cure neurodegenerative diseases is to reprogram
fibroblasts into functioning neurons using multiple exogenous transcription factors (TFs) and …
fibroblasts into functioning neurons using multiple exogenous transcription factors (TFs) and …
L-DOPA modulates activity in the vmPFC, nucleus accumbens, and VTA during threat extinction learning in humans
Learning to be safe is central for adaptive behaviour when threats are no longer present.
Detecting the absence of an expected threat is key for threat extinction learning and an …
Detecting the absence of an expected threat is key for threat extinction learning and an …
Sex differences and exogenous estrogen influence learning and brain responses to prediction errors
Animal studies show marked sex differences as well as effects of estrogen (E2) in the
mesocorticolimbic dopaminergic (DA) pathways, which play a critical role in reward …
mesocorticolimbic dopaminergic (DA) pathways, which play a critical role in reward …
Dopamine mediates a directionally opposite correlation between empathy and the reinforcing effects of amphetamine and gambling in people with gambling disorder …
M Zack, A Behzadi, C Biback, B Chugani… - Pharmacology …, 2024 - Elsevier
Understanding the relationship between empathy, subjective effects of addictive reinforcers
and dopamine function in people with gambling disorder (PGD) vs. healthy controls (HCs) …
and dopamine function in people with gambling disorder (PGD) vs. healthy controls (HCs) …
Dopamine regulates decision thresholds in human reinforcement learning
Dopamine fundamentally contributes to reinforcement learning by encoding predictions
errors, deviations of an outcome from expectation. Prediction error coding in dopaminergic …
errors, deviations of an outcome from expectation. Prediction error coding in dopaminergic …
Domain-general versus domain-specific learning mechanisms: Neurochemical mechanisms and relevance to autism
AJ Rybicki - 2022 - etheses.bham.ac.uk
The theory that various features of autism spectrum disorders (ASD) can be explained by
differences in the learning (or “predictive coding”) process is growing in popularity. However …
differences in the learning (or “predictive coding”) process is growing in popularity. However …