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Charlotte Horne
Charlotte Horne

Dr Charlotte Horne

Postdoctoral research associate

Biography

I started working at King’s in November 2018 as a postdoctoral research associate in the department of psychosis studies. I am interested in finding biomarkers of psychiatric disease focusing on schizophrenia and depression and am currently working on the MUTRIP project (Mechanisms Underlying Treatment Resistance in Psychosis). I use MRI techniques such as fMRI, structural MRI and MRS, and computational approaches such as DCM, to understand why some patients with psychosis do not adequately respond to antipsychotic medication. I am also working on integrating polygenic risk scores into our analyses as well as contributing to a clinical trial.  

Previously, I completed my MSc here at the IOPPN before doing my PhD at the University of Roehampton where I focused on the behavioural and neural mechanisms underlying the link between late chronotype (i.e. ‘night owls’) and major depression. I have a teaching qualification from the Higher Education Academy and have previously taught on undergraduate statistics workshops as well as psychology modules.  

Research Interests

  •  Treatment resistance in schizophrenia 
  •  Circadian rhythms in psychiatric disease (e.g. depression, schizophrenia) 
  •  Neuroimaging (primarily MRI) and computational methods  

Research Groups

Cognition, Schizophrenia and Imaging lab (CSI lab) 

 

    News

    Cognitive flexibility potential new target in treatment resistant schizophrenia

    Researchers at King’s College London have found that an important brain mechanism that allows us to switch between thinking about two or more ideas may help...

    Top of a girls head lying down in an MRI machine

      News

      Cognitive flexibility potential new target in treatment resistant schizophrenia

      Researchers at King’s College London have found that an important brain mechanism that allows us to switch between thinking about two or more ideas may help...

      Top of a girls head lying down in an MRI machine