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
- 1 Article
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Instability of default mode network connectivity in major depression: a two-sample confirmation study
Wise, T., Marwood, L., Perkins, A., Herane-Vives, A., Joules, R., Lythgoe, D., Luh, W.-M., Williams, S., Young, A., Cleare, A. & Arnone, D., Apr 2017, In: Translational psychiatry. 7, 4, p. 1-7 e1105.Research output: Contribution to journal › Article › peer-review
Open AccessFile140 Citations (Scopus)246 Downloads (Pure)