Estimating whole brain dynamics using spectral clustering
- đ¤ Speaker: Yi Yu (University of Cambridge; University of Bristol)
- đ Date & Time: Thursday 25 August 2016, 10:00 - 10:40
- đ Venue: Seminar Room 1, Newton Institute
Abstract
The estimation of time-varying networks for functional Magnetic Resonance Imaging (fMRI) data sets is of increasing importance and interest. In this work, we formulate the problem in a high-dimensional time series framework and introduce a data-driven method, namely Network Change Points Detection (NCPD), which detects change points in the network structure of a multivariate time series, with each component of the time series represented by a node in the network. NCPD is applied to various simulated data and a resting-state fMRI data set. This new methodology also allows us to identify common functional states within and across subjects. Finally, NCPD promises to offer a deep insight into the large-scale characterisations and dynamics of the brain. This is joint work with Ivor Cribben (Alberta School of Business).
Series This talk is part of the Isaac Newton Institute Seminar Series series.
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Yi Yu (University of Cambridge; University of Bristol)
Thursday 25 August 2016, 10:00-10:40