Dorsal and ventral noradrenergic neurons in the locus coeruleus form topographic subpopulations whose projection patterns and activity encode choice switching, reward-prediction errors and disregard o...

Brain imaging across more than 1,200 people identifies two reproducible reward profiles, one tuned to cues and one to outcomes. The two profiles respond in opposite ways to dopamine-blocking drugs, an...

Abstract. The amygdala is considered crucial to the formation of emotional episodic memories, yet causal evidence in humans is limited due to challenges in noninvasive neuromodulation of deep brain st...

Scientific Reports - Task-irrelevant stimuli robustly drive phasic pupil-linked arousal but only weakly affect memory formation

Neuropsychopharmacology - Computational phenotyping of effort-based decision-making in type-2 diabetes on and off semaglutide

The recoverability, reliability, and generalizability of reward processing parameters and relation to mental health symptoms - Volume 56

Computational psychiatry has revealed latent aspects of cognition that relate to psychiatric symptoms. Yet, to understand their clinical utility, it must be known whether these computational…

Translational Psychiatry - Arousal shapes motivation: an integrative framework for understanding motivational deficits

Assessing the activation of major stress axes is fundamental to stress research. While saliva and blood are well-established ways for quantifying stre…

Author summary Computational psychiatry is a field that makes extensive use of computational methods to understand mental health. In this field and related disciplines, there is a strong need to desig...

Neuropsychopharmacology - A phase 2 randomized controlled trial of luvadaxistat in treatment of adults with cognitive impairment associated with schizophrenia: results from the ERUDITE study

Neuropsychopharmacology - Comparing affective bias modification by first- and second-generation antidepressants in male rats using a translational behavioural task

UCL is consistently ranked as one of the top ten universities in the world (QS World University Rankings 2010-2022) and is No.2 in the UK for research power (Research Excellence Framework 2021).

Despite rapid exploitation of the opportunities that contextualization of brain maps affords, potential limitations have received little attention. In this Roadmap, Royer et al. provide practical guid...

Perception is not passive. It is a synthetic process, governed not only by the information incident on our sensory epithelia but also by our knowledge and prior experiences of the world, through model...

The neuropeptide oxytocin (OXT) is thought to modulate important aspects of prosocial behavior. In a seminal paper, Kosfeld et al. (2005) reported tha…

The neuropeptide oxytocin (OXT) is thought to modulate important aspects of prosocial behavior. In a seminal paper, Kosfeld et al. (2005) reported tha…

Pharmacological agents theorized to modulate fear extinction could enhance treatments for anxiety and trauma-related disorders, but fear conditioning and treatment studies testing these agents often yield null or conflicting results. We review principles of extinction learning relevant to the design of studies that test pharmacological enhancements of extinction. We then critically review the methodologies of existing studies for three pharmacological agents [d-cycloserine (DCS), glucocorticoids (GCs), and L-DOPA] with respect to key learning principles. While each agent has promising support in rodent models, many human studies are not designed to adequately detect an agent’s effects on extinction learning. We provide specific recommendations, informed by these learning principles, for future study designs that may clarify whether, how, and under what conditions agents impact extinction.

Dimensionality reduction methods are frequently used to analyze high-dimensional activity of cortical neuron populations during behavior. The resulting oscillatory trajectories that consistently emerg...

Molecular Psychiatry - Structural covariance network topology in individuals at clinical high risk for psychosis: the ENIGMA-CHR Study

Psychometric network models have become increasingly popular in psychology and the social sciences. Huth et al. show that a large proportion of reported network findings are based on weak or inconclusive evidence inviting caution when interpreting results.

Reframing of arousal as a latent dynamical system can reconstruct multidimensional measurements of large-scale spatiotemporal brain dynamics on the timescale of seconds in mice.