Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Andrew Quinn

BSc MSc Phd

Postdoctoral Researcher

Andrew is a post-doctoral researcher at the Oxford Centre for Human Brain Activity OHBA and the Brain and Cognition Lab, he is supervised by Kia Nobre and Mark Woolrich. He is currently working on the Cognitive Health in Ageing Project.

Andrew's research focuses on new MEG methods for characterising brain dynamics and their application in clinical and cognitive neuroscience. He has a particular focus on estimation of frequency domain metrics from electrophysiological time series, including multivariate autoregressive model based connectivity measures and cross frequency coupling. Andrew is currently working on how dynamic changes in such oscillatory brain activity can be robustly estimated using nonstationary methods such as Hidden Markov Models.


Prior to joining the OHBA, Andrew completed a BSc in Psychology and an MSc in Cognitive Neuroscience at the University of York. He completed his PhD Thesis entitled:  'Neural Dynamics In Brain Networks During The Resting State And Visual Word Recognition' also at the University of York under the supervision of Gary Green. The thesis looked at the application of time-varying methods for estimating directed functional connectivity to source MEG estimates.

True False