Research output per year
Research output per year
Personal profile
Research interests
Rich's research interests lie in the methodologic development of functional connectivity techniques with machine learning algorithms in order to further the investigation of the effects of pharmacological compounds on the human brain. His current work investigates the use of graph theory applied to resting state fMRI data to identify pharmacologically effected circuits.
Biographical details
Rich is an electronic engineer by training and has had previous experience as a methodogical researcher in a commercial development enviroment. His current PhD focuses on the development of mathematical and methodological tools in order to investigate the effects of pharmacological compounds in the brain.
Education/Academic qualification
Master of Engineering, University of Surrey
Award Date: 1 Jan 2009
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Research output
- 3 Article
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Instability of default mode network connectivity in major depression: a two-sample confirmation study
Wise, T., Marwood, L., Perkins, AM., Herane-Vives, A., Joules, R., Lythgoe, DJ., Luh, W-M., Williams, SCR., Young, AH., Cleare, AJ. & Arnone, D., Apr 2017, In: Translational psychiatry. 7, 4, p. 1-7 e1105.Research output: Contribution to journal › Article › peer-review
Open AccessFile139 Citations (Scopus)246 Downloads (Pure) -
Ketamine induces a robust whole-brain connectivity pattern that can be differentially modulated by drugs of different mechanism and clinical profile
Joules, R., Doyle, O. M., Schwarz, A. J., O'Daly, O. G., Brammer, M., Williams, S. & Mehta, M. A., Nov 2015, In: Psychopharmacology. 232, 21, p. 4205-4218 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile57 Citations (Scopus)194 Downloads (Pure) -
An empirical comparison of different approaches for combining multimodal neuroimaging data with support vector machine
Pettersson-Yeo, W., Benetti, S., Marquand, A. F., Joules, R., Catani, M., Williams, S. C. R., Allen, P., McGuire, P. & Mechelli, A., 15 Jul 2014, In: Frontiers in Neuroscience. 8, 12 p., 189.Research output: Contribution to journal › Article › peer-review
Open Access27 Citations (Scopus)
Thesis
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Functional Connectivity and Machine Learning for Psychiatric Drug Development
Author: Joules, R. B., 2015Supervisor: Mehta, M. A. (Supervisor), Doyle, O. (Supervisor) & Brammer, M. J. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy
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