CHBH Seminar Series: Dr Adeel Razi

Location
Gisbert Kapp N225
Category
Lectures Talks and Workshops, Life and Environmental Sciences, Medical and Dental Sciences, Research, Students
Dates
Tuesday 10th December 2019 (13:00-14:00)
Download the date to your calendar (.ics file)
Contact

Dr Ali Mazaheri: a.mazaheri@bham.ac.uk
Mr Chris Anderson: c.j.anderson@bham.ac.uk

We are pleased to announce that Dr Adeel Razi, from Monash University, will be presenting a CHBH seminar.

Dr. Adeel Razi's research interest is in modelling complex, multi-scale, network dynamics of brain structure and function using neuroimaging. He uses these (dynamic causal) models to integrate empirical data from multiple modalities (e.g., functional and diffusion MRI) to investigate basic disease mechanisms. Dr. Razi is a Senior Research Fellow and Australian Research Council DECRA Fellow at the Monash University. He recently established Computational and Systems Neuroscience Laboratory at the Turner Institute for Brain and Mental Health and Monash Biomedical Imaging. He is also an Honorary Senior Research Associate at the Wellcome Centre for Human Neuroimaging of University College London where he also worked from 2012 to 2018. He received the B.E. degree in Electrical Engineering from the N.E.D. University of Engineering & Technology in Pakistan, the M.Sc. degree in Communications Engineering from the University of Technology Aachen (RWTH), Germany, and the Ph.D. degree in Electrical Engineering from the University of New South Wales, Australia in 2012.

Title – Causal models of brain function

Abstract – This talk will focus on the modelling of resting state time series or endogenous neuronal activity. I will survey recent developments in modelling distributed neuronal fluctuations – spectral dynamic causal modelling (DCM) for functional MRI [1, 2] – and how this modelling rests upon functional connectivity. The dynamics of brain connectivity has recently attracted a lot of attention among brain mappers. In this regard, I will also show a novel method to identify dynamic effective connectivity using spectral DCM [3]. Further, I will summarise the development of the next generation of DCMs towards large-scale, whole-brain schemes which are computationally inexpensive [4], to the other extreme of the development using more sophisticated and bio-physically detailed modelling based on the canonical cortical micro circuits [5].

[1] K. J. Friston, J. Kahan, B. Biswal, A. Razi (2014) “A DCM for resting state fMRI”, NeuroImage, Volume 94, pp. 396-407.
[2] A. Razi, J. Kahan, G. Rees, K. J. Friston (2015) “Construct Validation of a DCM for resting state fMRI”, NeuroImage, Volume 106, pp. 1-14, Feb 2015
[3] H.J. Park, K. J. Friston, C. Pae, B. Park, A. Razi, (2018) ``Dynamic effective connectivity in resting state fMRI”, NeuroImage. vol. 180 (part B), pp. 594-608, 2018.
[4] A. Razi, M. L. Seghier, Y. Zhou, P. McColgan, P. Zeidman , H. J. Park, O. Sporns, G. Rees, K. J. Friston, (2017) ``Large-scale DCMs for resting state fMRI”, Network Neuroscience. vol. 1, no. 3, pp. 222-241.
[5] K. Friston, K. Preller, C. Mathys, H. Cagnan, J. Heinzle, A. Razi, P. Zeidman (2017), ``Dynamic causal modelling revisited”, NeuroImage. In press. https://doi.org/10.1016/j.neuroimage.2017.02.045

--

CHBH Seminars are free to attend and are open to all, both within and outside the University. Booking is not required.

If you have any questions, please contact Dr Ali Mazaheri (a.mazaheri@bham.ac.uk) or Mr Chris Anderson (c.j.anderson@bham.ac.uk