Agnes Norbury

Agnes Norbury
Icahn School of Medicine at Mount Sinai | MSSM · Department of Psychiatry

PhD

About

34
Publications
2,942
Reads
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364
Citations
Introduction
I am currently based at the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai, where my work involves building computational models of individual differences in aversive learning and social cognition processes relevant to anxiety and post-traumatic stress disorders.
Additional affiliations
April 2015 - present
University of Cambridge
Position
  • Research Associate
September 2010 - May 2015
University College London
Position
  • Wellcome Trust 4-year PhD in Neuroscience
Education
October 2006 - June 2009
University of Cambridge
Field of study
  • Natural Sciences (Cognitive Neuroscience/Psychology)

Publications

Publications (34)
Article
Full-text available
Unlabelled: Why are some people strongly motivated by intense sensory experiences? Here we investigated how people encode the value of an intense sensory experience compared with economic reward, and how this varies according to stimulation-seeking preference. Specifically, we used a novel behavioral task in combination with computational modeling...
Article
Full-text available
Response rates to available treatments for psychological and chronic pain disorders are poor, and there is a considerable burden of suffering and disability for patients, who often cycle through several rounds of ineffective treatment. As individuals presenting to the clinic with symptoms of these disorders are likely to be heterogeneous, there is...
Article
Full-text available
Generalization during aversive decision-making allows us to avoid a broad range of potential threats following experience with a limited set of exemplars. However, over-generalization, resulting in excessive and inappropriate avoidance, has been implicated in a variety of psychological disorders. Here, we use reinforcement learning modelling to dis...
Article
Full-text available
Background: Anxiety symptoms during public health crises are associated with adverse psychiatric outcomes and impaired health decision-making. The interaction between real-time social media use patterns and clinical anxiety during infectious disease outbreaks is underexplored. Objective: We aimed to evaluate the usage pattern of 2 types of social...
Article
Full-text available
There is growing concern that the social and physical distancing measures implemented in response to the Covid-19 pandemic may negatively impact health in other areas, via both decreased physical activity and increased social isolation. Here, we investigated whether increased engagement with digital social tools may help mitigate effects of enforce...
Article
Promising initial data indicate that the glutamate N-methyl-D-aspartate (NMDA) receptor antagonist ketamine may be beneficial in post-traumatic stress disorder (PTSD). Here, we explore the neural correlates of ketamine-related changes in PTSD symptoms, using a rich battery of functional imaging data (two emotion-processing tasks and one task-free s...
Preprint
Full-text available
Promising initial data indicate that the glutamate N-methyl-D-aspartate (NMDA) receptor antagonist ketamine may be beneficial in post-traumatic stress disorder (PTSD). Here, we explore the neural correlates of ketamine-related changes in PTSD symptoms, using a rich battery of functional imaging data (two emotion-processing tasks and one task-free s...
Article
Full-text available
Background: Mental health disorders affect multiple aspects of patients’ lives, including mood, cognition, and behavior. eHealth and mobile health (mHealth) technologies enable rich sets of information to be collected noninvasively, representing a promising opportunity to construct behavioral markers of mental health. Combining such data with self-...
Article
Background Problems in learning that sights, sounds, or situations that were once associated with danger have become safe (extinction learning) may explain why some individuals suffer prolonged psychological distress following traumatic experiences. Although simple learning models have been unable to provide a convincing account of why this learnin...
Preprint
Full-text available
BACKGROUND Mental health disorders affect multiple aspects of patients' lives, including mood, cognition, and behaviour. The advent of eHealth and mHealth technologies enables rich sets of information to be collected from individuals in a non-invasive way presenting a promising opportunity for the construction of behavioural markers of mental healt...
Preprint
Problems in learning that sights, sounds, or situations that were once associated with danger have become safe (extinction learning) may explain why some individuals suffer prolonged psychological distress following traumatic experiences. Although simple associative learning models have been unable to provide a convincing account of how and why thi...
Preprint
Full-text available
Introduction: We conducted an ecological study to determine if state-level healthcare access is associated with trajectories of daily reported COVID-19 cases in the United States. Our focus is on trajectories of daily reported COVID-19 cases, rather than cumulative cases, as trajectories help us identify trends in how the pandemic naturally develop...
Preprint
Full-text available
Public health professionals have raised concerns that the social and physical distancing measures implemented in response to the Covid-19 pandemic may negatively impact health in other areas, via both decreased physical activity and increased social isolation. Here, we investigated whether increased engagement with digital social tools may help mit...
Preprint
Full-text available
Objective: To identify factors associated with local variation in the time course of COVID-19 case burden in England. Methods: We analyzed laboratory-confirmed COVID-19 case data for 150 upper tier local authorities, from the period from January 30 to May 6, 2020, as reported by Public Health England. Using methods suitable for time-series data, we...
Preprint
Resilience, or the phenomenon of successful adaptation following significant trauma exposure, is a complex, multidimensional, and dynamic process. To date, research on neural mechanisms involved in human resilience has comprised of two major research streams – involving individuals with childhood and adulthood trauma exposure, respectively. Althoug...
Article
Generalization during aversive decision-making allows us to avoid a broad range of potential threats following experience with a limited set of exemplars. However, over-generalization, resulting in excessive and inappropriate avoidance, has been implicated in a variety of psychological disorders. Here, we use reinforcement learning modelling to dis...
Article
Generalization during aversive decision-making allows us to avoid a broad range of potential threats following experience with a limited set of exemplars. However, overgeneralization, resulting in excessive and inappropriate avoidance, has been implicated in a variety of psychological disorders. Here, we use reinforcement learning modelling to diss...
Article
Full-text available
Response rates to available treatments for psychological and chronic pain disorders are poor, and there is a substantial burden of suffering and disability for patients, who often cycle through several rounds of ineffective treatment. As individuals presenting to the clinic with symptoms of these disorders are likely to be heterogeneous, there is c...
Article
Response rates to available treatments for psychological and chronic pain disorders are poor, and there is a considerable burden of suffering and disability for patients, who often cycle through several rounds of ineffective treatment. As individuals presenting to the clinic with symptoms of these disorders are likely to be heterogeneous, there is...
Preprint
Full-text available
Generalization during aversive decision-making allows us to avoid a broad range of potential threats following experience with a limited set of exemplars. However, over-generalization, resulting in excessive and inappropriate avoidance, has been implicated in a variety of psychological disorders. Here, we use reinforcement learning modelling to dis...
Article
Full-text available
Capacity limitations in working memory (WM) necessitate the need to effectively control its contents. Here, we examined the effect of cabergoline, a dopamine D2 receptor agonist, on WM using a continuous report paradigm that allowed us to assess the fidelity with which items are stored. We assessed recall performance under three different gating co...
Article
Full-text available
Why are some people strongly motivated by intense sensory experiences? Here we investigated how people encode the value of an intense sensory experience compared with economic reward, and how this varies according to stimulation-seeking preference. Specifically, we used a novel behavioral task in combination with computational modeling to derive th...
Thesis
Sensation-seeking is a personality trait concerned with motivation for intense and unusual sensory experiences, that has been identified as risk factor for a variety of psychopathologies with high social cost; in particular gambling and substance addictions. It has previously proved difficult to tease out neural mechanisms underlying sensation-seek...
Article
Full-text available
Sensation-seeking (SS) is a personality trait that refers to individual differences in motivation for intense and unusual sensory experiences. It describes a facet of human behaviour that has direct relevance for several psychopathologies associated with high social cost. Here, we first review ways of measuring SS behaviour in both humans and anima...
Article
Full-text available
Background Sensation-seeking is a trait that constitutes an important vulnerability factor for a variety of psychopathologies with high social cost. However, little is understood either about the mechanisms underlying motivation for intense sensory experiences or their neuropharmacological modulation in humans. Methods Here, we first evaluate a no...
Article
Full-text available
Trait sensation-seeking, defined as a need for varied, complex, and intense sensations, represents a relatively underexplored hedonic drive in human behavioral neuroscience research. It is related to increased risk for a range of behaviors including substance use, gambling, and risky sexual practice. Individual differences in self-reported sensatio...
Article
Impulsivity is a vulnerability marker for drug addiction in which other behavioural traits such as anxiety and novelty seeking ('sensation seeking') are also widely present. However, inter-relationships between impulsivity, novelty seeking and anxiety traits are poorly understood. The objective of this paper was to investigate the contribution of n...

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Projects

Project (1)
Archived project
The goal is to build a generic machine learning-based pipeline for emotional state prediction using passively collected data from mobile phones and wearable devices, and self-reported emotions by patients. Emotional state prediction and forecasting could be used as early warning signs in clinical treatment. Detecting major affective episodes risk could help catch the early onset of major depressive or manic phases that can be addressed and handled in time, which could reduce the severity of symptoms and the degree of treatment.