Postgraduate research project

Predicting Treatment Response in ADHD Based On Individual Clinical, Cognitive and Physiological Characteristics 

Funding
Fully funded (UK only)
Type of degree
Doctor of Philosophy
Entry requirements
UK 2:1 honours degree View full entry requirements
Faculty graduate school
Faculty of Environmental and Life Sciences
Closing date

About the project

​​​​This PhD project builds on a newly funded NIHR research aiming at predicting response to methylphenidate (the most common medication for ADHD), based on pre-treatment clinical, cognitive, and physiological characteristics. Ultimately, this will help tailor treatment options and thus improve patients’ outcomes.​

​​This project aims at testing a new method to select medication for children and adults with ADHD. 

You will work within a team and will be primarily involved in the recruitment and testing of children and adolescents, selected from the existing waiting lists of Child and Adolescent Mental Health Services (CAMHS), locally (Hampshire and Isle of Wight NHS Healthcare Foundation Trust) and in South London (South London and Maudsley NHS Foundation Trust).

Participants will be tested twice in a week, once under a single dose of methylphenidate and once under a single dose of placebo, double blind. 

Tests will include: 

  • clinical scales
  • computer-based cognitive tests
  • a research ring for the non-invasive monitoring of physiological parameters (e.g. pulse)

Participants will then start standard treatment and tests will be repeated at two months. During this time, you will check in with participants and liaise with clinicians if necessary (e.g. if participants develop side effects). Some clinical scales will be repeated at the remote 6-month follow-up. 

You will be provided training on how to administer the tests and in data analysis. 

You will have the opportunity to lead and contribute to publications related to this research (e.g. systematic reviews and empirical results). 

You will join a vibrant and inclusive research community, and benefit from our extensive collaborations and dissemination opportunities. Ultimately, your work will directly inform clinical practice, optimising treatment selection approaches and healthcare efficiency globally.​