Research output per year
Research output per year
SE5 8AF
United Kingdom
The Centre for Affective Disorders (CfAD) focuses on mood and anxiety disorders which are common disorders which cause great suffering for many people.
The CfAD is a centre of excellence for understanding the science related to these illnesses and uses this knowledge to help develop new treatments of all types including psychological and pharmacological.
The Centre brings together a number of world leading clinician scientists who already work at King's College London and these include Profs Anthony Cleare, Andre Tylee, Carmine Pariante, Allan Young and others.
Affective disorders overlap with many other areas of psychiatry and medicine so we will be working with colleagues throughout King's and more widely.
CfAD also hosts the International Society for Affective Disorders and the World Psychiatric Association Section for Affective Disorders.
Person: Visiting Staff
Person: Clinical, Member
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Paul Stokes (Member)
Activity: Membership › Membership of network
Paul Stokes (Member)
Activity: Membership › Membership of committee
Carmine Pariante (Reviewer)
Activity: Other › Types of Public engagement and outreach - Media article or participation
Supervisor: Zunszain, P. A. (Supervisor), Thuret, S. (Supervisor) & Pariante, C. M. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
Supervisor: Young, A. (Supervisor), Mehta, M. (Supervisor) & O'Daly, O. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
Supervisor: Cleare, A. J. (Supervisor) & Mondelli, V. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
Zahn, R., King's College London, 7 Jan 2021
DOI: 10.18742/rdm01-482, https://kcl.figshare.com/articles/dataset/Development_of_Cognitive_and_Imaging_Biomarkers_Predicting_Risk_of_Self-Blaming_Bias_and_Recurrence_in_Major_Depression/16473870
Dataset