Richard Beare

Assoc Professor

20022018
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Personal profile

Biography

Associate Professor Richard Beare 

Richard is an Associate Professor in the Academic Unit, Medicine, Peninsula Clinical School, within the Central Clinical School, whos expertise in Bioinformatics and Imaging is used to conduct high quality translational research into chronic conditions affecting the ageing population.

Current Projects

1. Imaging and statistical methods for longitudinal brain imaging studies.

Brain imaging studies using MRI generate large volumes of raw data that needs to be transformed into forms amenable to statistical analysis. Different types of image and different studies require different approaches. This project develops software processing pipelines to process data from studies run by our group, such as the TASCOG, CDOT, METTS, and within international datasets (ADNI). The project also develops methods for analysis of images from preclinical studies.

2. Analysis methods for structural covariance

Structural covariance is an approach to generating population level networks from brain structural MRI data. This differs from the typical source of brain network information such as diffusion weighted imaging or functional imaging. This project explores sparse methods for generation of structural covariance networks.

3. Health services planning and optimization using Google maps

Travel time is an important part of many health services, such as ambulance transport to hospital emergency departments for acute stroke. This project uses Google maps queries to construct objective estimates travel time that vary with traffic conditions to allow various models of health service delivery to be evaluated and compared.

Current Funding

  • Brain Research Foundation - Characterising structure-function relationships in childhood stroke using advanced brain imaging
  • NHMRC 1063608 The role of Central Haemodynamics in Type 2 Diabetes Mellitus-related brain disease.

 

 

Keywords

  • Ageing
  • Brain Research
  • Bioinformatics
  • Imaging

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Projects 2007 2009

Research Output 2002 2018

Brain Imaging in Type 2 Diabetes

Moran, C., Beare, R., Phan, T. & Srikanth, V. 6 Mar 2018 Type 2 Diabetes and Dementia. Srikanth, V. & Arvanitakis, Z. (eds.). United Kingdom: Academic Press, p. 49-66 18 p.

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Otherpeer-review

Early life predictors of brain development at term-equivalent age in infants born across the gestational age spectrum

Thompson, D. K., Kelly, C. E., Chen, J., Beare, R., Alexander, B., Seal, M. L., Lee, K., Matthews, L. G., Anderson, P. J., Doyle, L. W., Spittle, A. J. & Cheong, J. L. Y. 2018 (Accepted/In press) In : NeuroImage.

Research output: Contribution to journalArticleResearchpeer-review

Efficiency of structural connectivity networks relates to intrinsic motivation in children born extremely preterm

Pascoe, L., Thompson, D., Spencer-Smith, M., Beare, R., Adamson, C., Lee, K. J., Kelly, C., Georgiou-Karistianis, N., Nosarti, C., Josev, E., Roberts, G., Doyle, L. W., Seal, M. L. & Anderson, P. J. 30 Jun 2018 (Accepted/In press) In : Brain Imaging and Behavior. 14 p.

Research output: Contribution to journalArticleResearchpeer-review

Altered structural connectivity in ADHD: a network based analysis

Beare, R., Adamson, C. L., Bellgrove, M. A., Vilgis, V., Vance, A., Seal, M. L. & Silk, T. 1 Jun 2017 In : Brain Imaging and Behavior. 11, 3, p. 846-858 13 p.

Research output: Contribution to journalArticleResearchpeer-review