Dr Susie Bamford

University of Southampton, Psychology, Post-Doc

University of Warwick, Economics, Psychology and Philosophy, Alumna

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I am an independent quantitative researcher and statistician. I help charities, businesses, and individuals understand and use evidence to inform their practice by reviewing literature, designing robust research, analysing data, and communicating results via infographics and reports.

My background was as an academic and an experimental psychologist specialising in cognitive neuroscience. I've explored research into our responses to reward and threat, investigated brain areas involved in emotional response by studying brain injury following stroke, and examined disorders such as adhd and anxiety.

More recently I gained experience outside of academia applying my research methods and statistical knowledge at the National Foundation for Educational Research. There I was heavily involved in the trials unit designing and running randomised controlled trials in education, in addition to analysing existing datasets for educational research.

I'm now an independent consultant. I work with clients helping them with many aspects of research but specialising in quantitative methods. If you would like to find out more about how I could help you or your company understand your data, design some new research, or explore existing research, please get in touch. Email me at [email protected] or take a look at my website: www.bntresearch.com
Supervisors: Professor David Baldwin, Dr Matthew Garner, Professor Edmund Sonuga-Barke, Professor Oliver Turnbull, and Professor Robert Ward

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Georgia Chronaki

University of Central Lancashire

Bernard Balleine

Franz Classe

Seth Kiser

U.S. Department of Veterans Affairs

Hanne Schevernels

Davide Gheza

Università degli Studi di Padova

University of Vienna

Peking University

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An electrophysiological monetary incentive delay (e-MID) task: A way to decompose the different components of neural response to positive and negative monetary reinforcement

Journal of Neuroscience Methods, 2012

Background: The ability to anticipate and then secure future rewards and avoid future punishments... more Background: The ability to anticipate and then secure future rewards and avoid future punishments by responding effectively to environmental demands is at the core of successful decision making. Disruptions to these processes have been shown to be implicated in a number of psychiatric conditions. In the current paper we use the electrophysiological monetary incentive delay task (e-MID) to decompose the neural response to (i) reinforcement anticipation, (ii) reinforcement-contingent target processing and (iii) reinforcement-related feedback. Methods: Thirty-eight adolescents and young adults performed an ERP-based analogue of the monetary incentive delay task. ERP components previously associated with motivationally salient cue (cue-P3 and contingent negative variation, CNV), target (P3) and feedback (success vs. failure; feedback-related negativity; FRN and the late positive potential; LPP) stimuli were examined. Results: Response times were shorter and less variable in the monetary gain and loss conditions. Distinctive ERP components were observed for each phase of reinforcement processing. First, cue-P3 was enhanced to monetary gain cues. Predicted alterations in cue-P3 following monetary loss cues and the CNV following cues of either monetary loss or gain were not observed. Target P3 was enhanced in both incentive conditions. The FRN was greater following monetary loss feedback. LPP amplitude was enhanced following feedback denoting monetary gain and the avoidance of monetary loss. Conclusion: Although behaviourally the effects of monetary loss and gain were similar, the e-MID task differentiated neural processing in terms of anticipation and feedback-related brain potentials. The e-MID task and the results of the current study provide a valuable complement to fMRI-based approaches to studying normal and abnormal brain correlates of reinforcement processing.

Dr Susie Bamford

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