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Research Meeting: “A Computational Approach to Mood Instability”
Wednesday, 22 April 2020, 1pm to 2pm
Please note that we are now using a password for the meeting. The meeting details and password are below .
Research Meeting: "Preliminary findings: The effects of rivastigmine on affective bias during volatility learning"
Wednesday, 15 April 2020, 1pm to 2pm
Research Meeting: "Co-Space - COVID-19: Supporting Parents, Adolescents and Children during Epidemics"
Wednesday, 08 April 2020, 1pm to 2pm
Journal Club: “Increased mortality from somatic multi-morbidity in patients with schizophrenia: a Danish nationwide cohort study''
Tuesday, 14 January 2020, 9.30am to 10.25am
Research Meeting: ''Disordered affective learning in depression'' CANCELLED
Wednesday, 18 March 2020, 1pm to 2pm
Journal Club: ''20-Year Nationwide Follow-Up Study on Discontinuation of Antipsychotic Treatment in First-Episode Schizophrenia''
Tuesday, 07 January 2020, 9.30am to 10.25am
Child & Adolescent Mental Health Series - Depression (and anxiety) in Paediatric Chronic Fatigue Syndrome (CFS).
Tuesday, 28 January 2020, 12.15pm to 1.15pm
WIN-BRC Talk: Psychophysical Interactions
Thursday, 11 June 2020, 2pm to 2.45pm
WIN-BRC Talk: Privacy-Preserving AI in Medical Imaging
Thursday, 14 May 2020, 2pm to 2.45pm
WIN-BRC Talk: Pathology network mapping
Thursday, 09 April 2020, 2pm to 2.45pm
WIN-BRC Talk: Joint Inference
Thursday, 12 March 2020, 2pm to 2.45pm
WIN-BRC Talk: Automated testing in Software Tools
Thursday, 13 February 2020, 2pm to 2.45pm
WIN-BRC Talk: Confidence Sets for Raw Effect Size task-fMRI Images - CANCELLED
Thursday, 09 January 2020, 2pm to 2.45pm
The mass-univariate approach for functional magnetic resonance imaging (fMRI) analysis remains a widely used statistical tool within neuroimaging. However, this method suffers from at least two fundamental limitations: First, with sufficient sample sizes there is high enough statistical power to reject the null hypothesis everywhere, making it difficult if not impossible to localize effects of interest. Second, with any sample size, when cluster-size inference is used a significant p-value only indicates that a cluster is larger than chance. Therefore, no notion of confidence is available to express the size or location of a cluster that could be expected with repeated sampling from the population. In this work, we address these issues by extending on a method proposed by Sommerfeld et al. (2018) (SSS) to develop spatial Confidence Sets (CSs) on clusters found in thresholded raw effect size maps. In this talk we will describe the theories behind this development, including several theoretical and practical implementation advancements to the original method formulated in SSS, delivering a procedure with superior performance in sample sizes as low as N = 60. We validate the method with 3D Monte Carlo simulations that resemble fMRI data. Finally, present an implementation of this method by computing CSs for the Human Connectome Project working memory task contrast images, illustrating the brain regions that show a reliable %BOLD change for a given %BOLD threshold.
Journal Club: ''Defence Mechanisms of Pregnant Mothers Predict,Attachment Security, Social-Emotional Competence and Behaviour Problems in Their Toddlers''
Tuesday, 17 December 2019, 9.30am to 10.25am
Old Age Psychiatry CPD meeting
Wednesday, 22 April 2020, 2pm to 5pm
Old Age Psychiatry CPD meeting
Wednesday, 05 February 2020, 2pm to 5pm