BSc Mathematics/Computer Science (2006), MSc Neuroscience (2008), PhD Neuroscience (2013)
Sir Henry Wellcome Fellow
I am a neuroscientist interested in how the human brain enables us to perform complex types of decisions, for example when desired outcomes are only obtained after delay, physical labour, or sequences of actions. I use brain imaging (fMRI, MEG) as well as causal stimulation techniques (TMS) to study these processes in the healthy human brain.
In my PhD, I was particularly interested in the mechanisms by which decision signals reach motor regions to enable implementation of the resulting actions. In my current postdoctoral fellowship, I am continuing my previous lines of research but I am also planning to study which precise aspects of these computations are impaired in disorders involving abnormal decision-making, such as depression.
Please refer to my personal website (link to the left) for more information.
Increasing and decreasing interregional brain coupling increases and decreases oscillatory activity in the human brain
Sel A. et al, (2021), Proceedings of the National Academy of Sciences, 118, e2100652118 - e2100652118
Associations of dietary markers with brain volume and connectivity: A systematic review of MRI studies.
Jensen DEA. et al, (2021), Ageing Res Rev
Adapting non-invasive human recordings along multiple task-axes shows unfolding of spontaneous and over-trained choice.
Takagi Y. et al, (2021), Elife, 10
Model-free decision making is prioritized when learning to avoid harming others.
Lockwood PL. et al, (2020), Proc Natl Acad Sci U S A, 117, 27719 - 27730
Polarity of uncertainty representation during exploration and exploitation in ventromedial prefrontal cortex.
Trudel N. et al, (2020), Nat Hum Behav