Differential Genetic Influences on Estimates of Uncertainty in Volatile Environments

This project relates to the project “Neurophysiological mechanisms driving cognitive biases and decision-making in trait anxiety”. Comparing performance across a range of monozygotic and dizygotic twins and using a computational model of the task (Mathys et al, 2014), this project will assess how genetic factors influence different components of decision-making and learning under uncertainty.

1. Hein, T.P., Weber, L.A., de Fockert, J. and Ruiz, M.H., 2019. State anxiety biases estimates of uncertainty during reward learning in volatile environments. bioRxiv, p.809749.
2. Mathys, C.D., Lomakina, E.I., Daunizeau, J., Iglesias, S., Brodersen, K.H., Friston, K.J. and Stephan, K.E., 2014. Uncertainty in perception and the Hierarchical Gaussian Filter. Frontiers in human neuroscience, 8, p.825.
3. Linkenkaer-Hansen, K., Smit, D.J., Barkil, A., van Beijsterveldt, T.E., Brussaard, A.B., Boomsma, D.I., van Ooyen, A. and de Geus, E.J., 2007. Genetic contributions to long-range temporal correlations in ongoing oscillations. Journal of Neuroscience, 27(50), pp.13882-13889.

Project Leaders - Maria Herrojo Ruiz, Ilya Zakharov, Vadim Nikulin, Tommaso Fedele.