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DETECTION OF LONGITUDINAL BRAIN ATROPHY PATTERNS CONSISTENT WITH PROGRESSION TOWARDS ALZHEIMER’S DISEASE

Part of: Decision theory Linear inference, regression Systems theory and control: General Probabilistic methods, simulation and stochastic differential equations Markov processes

Published online by Cambridge University Press:  12 November 2018

MARCELA I. CESPEDES
MARCELA I. CESPEDES*
Affiliation:
CSIRO Health and Biosecurity, 901/16 Royal Brisbane and Women’s Hospital, Herston, Queensland 4029, Australia email [email protected]
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Abstract

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Keywords

Bayesian hierarchical modelslongitudinal modelsneuroimaging dataspatial covariance networkswomblingMarkov chain Monte Carloconditional autoregressive modelcortical thicknessspatio-temporal

MSC classification

Primary: 62C10: Bayesian problems; characterization of Bayes procedures
Secondary: 60J10: Markov chains (discrete-time Markov processes on discrete state spaces) 62J10: Analysis of variance and covariance 65C05: Monte Carlo methods 93A13: Hierarchical systems
Type
Abstracts of Australasian PhD Theses
Information
Bulletin of the Australian Mathematical Society , Volume 99 , Issue 1 , February 2019 , pp. 174 - 176
Copyright
© 2018 Australian Mathematical Publishing Association Inc. 

Footnotes

Thesis submitted to Queensland University of Technology in November 2017; degree approved on 31 May 2018; principal supervisor James McGree, associate supervisors Kerrie Mengersen, Christopher Drovandi, James Doecke and Jurgen Fripp.

References

Cespedes, M. I., Fripp, J., McGree, J. M., Drovandi, C. C., Mengersen, K. and Doecke, J. D., ‘Comparisons of neurodegeneration over time between healthy ageing and Alzheimer’s disease cohorts via Bayesian inference’, BMJ Open 7(2) (2017), e012174.Google Scholar
Cespedes, M. I., McGree, J., Drovandi, C. C., Mengersen, K., Doecke, J. D., Fripp, J. and Alzheimer’s Disease Neuroimaging Initiative, ‘An efficient algorithm for estimating brain covariance networks’, PLoS ONE 13(7) (2018), e0198583.Google Scholar
Cespedes, M. I., McGree, J., Drovandi, C. C., Mengersen, K., Doecke, J. D. and Fripp, J., ‘A Bayesian hierarchical approach to jointly model structural biomarkers and covariance networks’, Preprint, 2018. Available at https://eprints.qut.edu.au/112807.Google Scholar
Cespedes, M. I., McGree, J., Drovandi, C. C., Mengersen, K., Doecke, J. D. and Fripp, J., ‘Age dependent network dynamics via Bayesian hierarchical models reveal spatio-temporal patterns of neurodegeneration’, Preprint, 2018. Available at https://eprints.qut.edu.au/122183.Google Scholar