4 results
Jenna Traynor examines how personality-disorder assessments, cognitive measures and neuroimaging can describe and predict changes in suicidal ideation among high-risk psychiatric populations, including people with borderline personality disorder. The talk presents findings linking these different measurements to outcomes and considers emerging brain-based treatments that target neural networks involved in cognitive control and emotion regulation.
Tue, Nov 10 · 19:00 UTC · Online
Bessel van der Kolk examines how psychedelics may facilitate integration of disparate experiences and changes to established habits. The webinar explores self-compassion, neuroplastic windows and critical periods, asking how therapeutic support and integration relate to these opportunities for change. The discussion connects potential increases in flexibility with the opening of therapeutic windows and includes audience questions.
Sun, Nov 22 · 00:00 UTC · Online
Automatic analysis of affective and social signals creates opportunities for collaboration between computer scientists and behavioral researchers. Albert Ali Salah examines the field’s main research directions and challenges, including differences between computational and statistical methods, their goals and assumptions, and data-driven versus theory-driven approaches. Examples include automated analysis of children’s interactive play-therapy sessions and the use of multimodal cues in bipolar-disorder diagnosis. Facial expression, body movement, gesture and speech illustrate how AI can support human monitoring and decision-making in behavioral and clinical science. The talk considers human–AI collaboration and the roles of explainability and interpretability in developing trustworthy computational tools.
Thu, Nov 26 · 13:00 UTC · Online
John Constantino and Jeffrey Borenstein examine how schools can support children with developmental and behavioural challenges. Teachers, counsellors and other education professionals are often among the first to recognise difficulties, and sustained school experience can strongly influence development. The discussion considers the design of individualised education plans and how educators and clinicians can apply more precise, child-specific approaches to make daily learning environments effective supports for maturation and mental health.
Fri, Dec 11 · 00:00 UTC · Online
Maladaptive emotional memories contribute to the persistence of numerous mental health disorders, including post-traumatic stress disorder (PTSD), drug addiction and obsessive-compulsive disorder (OCD). Using rodent behavioural models of the psychological processes relevant to these disorders, it is possible to identify potential treatment targets for the development of new therapies, including those based upon disrupting the reconsolidation of maladaptive emotional memories. Using examples from rodent models relevant to multiple mental health disorders, this talk will consider some of the opportunities and challenges that this approach provides.
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Post traumatic stress disorder (PTSD) is a prevalent and disabling condition that affects larger numbers of children and adolescents worldwide. Until recently, we have understood little about the nature of PTSD reactions in our youngest children (aged under 8 years old). This talk describes our work over the last 15 years working with this very young age group. It overviews how we need a markedly different PTSD diagnosis for very young children, data on the prevalence of this new diagnostic algorithm, and the development of a psychological intervention and its evaluation in a clinical trial.
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Socially Assistive Robots (SARs) have shown great potential to help children in therapeutic and healthcare contexts. SARs have been used for companionship, learning enhancement, social and communication skills rehabilitation for children with special needs (e.g., autism), and mood improvement. Robots can be used as novel tools to assess and rehabilitate children’s communication skills and mental well-being by providing affordable and accessible therapeutic and mental health services. In this talk, I will present the various studies I have conducted during my PhD and at the Cambridge Affective Intelligence and Robotics Lab to explore how robots can help assess and rehabilitate children’s communication skills and mental well-being. More specifically, I will provide both quantitative and qualitative results and findings from (i) an exploratory study with children with autism and global developmental disorders to investigate the use of intelligent personal assistants in therapy; (ii) an empirical study involving children with and without language disorders interacting with a physical robot, a virtual agent, and a human counterpart to assess their linguistic skills; (iii) an 8-week longitudinal study involving children with autism and language disorders who interacted either with a physical or a virtual robot to rehabilitate their linguistic skills; and (iv) an empirical study to aid the assessment of mental well-being in children. These findings can inform and help the child-robot interaction community design and develop new adaptive robots to help assess and rehabilitate linguistic skills and mental well-being in children.
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In this talk I will present our recent behavioural and neuroscience research on how the brain motivates itself to form particular beliefs and why it does so. I will propose that the utility of a belief is derived from the potential outcomes associated with holding it. Outcomes can be internal (e.g., positive/negative feelings) or external (e.g., material gain/loss), and only some are dependent on belief accuracy. We show that belief change occurs when the potential outcomes of holding it alters, for example when moving from a safe environment to a threatening environment. Our findings yield predictions about how belief formation alters as a function of mental health. We test these predictions using a linguistic analysis of participants’ web searches ‘in the wild’ to quantify the affective properties of information they consume and relate those to reported psychiatric symptoms. Finally, I will present a study in which we used our framework to alter the incentive structure of social media platforms to reduce the spread of misinformation and improve belief accuracy.
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Cognitive and emotional processes are shaped by the dynamic integration of brain and body. A major channel of interoceptive information comes from the heart, where phasic signals are conveyed to the brain to indicate how fast and strong the heart is beating. This talk will discuss how interoceptive processes operate across conscious and unconscious levels to influence emotion and memory. The interoceptive channel is disrupted in distinct ways in individuals with autism and anxiety. Selective interoceptive disturbance is related to symptomatology including dissociation and the transdiagnostic expression of anxiety. Interoceptive training can reduce anxiety, with enhanced interoceptive precision associated with greater insula connectivity following targeted interoceptive feedback. The discrete cardiac effects on emotion and cognition have broad relevance to clinical neuroscience, with implications for peripheral treatment targets and behavioural interventions.
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