BA Natural Sciences (2007-2010, Cambridge University), MSc Neuroscience (2011, Oxford University), DPhil Neuroscience (2011-2015, Oxford University)
MRC Skills Development Fellow
- Postdoctoral Researcher
I am a neuroscientist interested in understanding the psychological and neural mechanisms underlying motivated behavior. Specifically, how do humans learn what they value and how do they use this knowledge to make good decisions? I am furthermore interested in applying these concepts to understand psychiatric disorders, such as depression, and their treatments.
In my DPhil, my work was particularly focused on understanding the role different neurotransmitter systems (serotonin, NMDA receptors) play in reward and punishment-guided learning. As well as how different prefrontal brain systems act together for efficient learning in complex and naturalistic environments. The importance of these brain systems is underscored by the fact that they are targets of common psychiatric treatments such as antidepressants. To tackle these questions, I have used computational modelling in combination with brain imaging (fMRI, EEG, MRS spectroscopy) and pharmacological manipulations.
In my current fellowship, I am building on these methods to look at negative biases in different processes in depression and particularly in learning. I will also start to explore the effects of potential new treatment avenues, such non-invasive electric brain stimulation (tDCS), on these processes.
Single-dose hydrocortisone administration does not enhance motor sequence learning or reward learning in humans.
Günthner J. et al, (2018), J Psychopharmacol, 32, 591 - 594
Mood instability and reward processing: daily remote monitoring as a modern phenotyping tool for bipolar disorder
Panchal P. et al, (2018), EUROPEAN NEUROPSYCHOPHARMACOLOGY, 28, S87 - S87
Simultaneous representation of a spectrum of dynamically changing value estimates during decision making.
Meder D. et al, (2017), Nat Commun, 8
Obsessing about Uncertainty?
Scholl J. and Rushworth MFS., (2017), Neuron, 96, 250 - 252
Understanding psychiatric disorder by capturing ecologically relevant features of learning and decision-making.
Scholl J. and Klein-Flügge M., (2017), Behav Brain Res