Using fMRI and machine learning to predict symptom improvement following 
cognitive behavioural therapy for psychosis

Tolmeijer, Eva; Kumari, Veena; Peters, Emmanuelle; Williams, Steven C. R.; Mason, Liam

doi:10.1016/j.nicl.2018.10.011

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Journal Article

Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosis

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Mason, Liam
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, Germany, and London, UK, Max Planck Institute for Human Development, Max Planck Society;

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10.1016/j.nicl.2018.10.011
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Tolmeijer, E., Kumari, V., Peters, E., Williams, S. C. R., & Mason, L. (2018). Using fMRI and machine learning to predict symptom improvement following cognitive behavioural therapy for psychosis. NeuroImage: Clinical, 20, 1053-1061. doi:10.1016/j.nicl.2018.10.011.

Cite as: https://hdl.handle.net/21.11116/0000-0002-AE68-6

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