Associate Professor Marnie Shaw
PhD physics (University of Melbourne)
Senior Research Fellow, Research School of Engineering
ANU College of Engineering, Computing and Cybernetics
T:
+61 2 6125 2762
Areas of expertise
- Renewable Power And Energy Systems Engineering (Excl. Solar Cells) 090608
Research interests
energy change, energy storage
brain imaging (fMRI, MEG, Resting State Networks)
data analytics, multivariate statistics, machine learning
Publications
- Owens-Walton, C, Jakabek, D, Power, B et al. 2021, 'Structural and functional neuroimaging changes associated with cognitive impairment and dementia in Parkinson's disease', Psychiatry Research: Neuroimaging, vol. 312, pp. 1-12.
- Fraser, M, Walsh, E, Shaw, M et al. 2020, 'Longitudinal trajectories of hippocampal volume in middle to older age community dwelling individuals', Neurobiology of Aging, vol. 97, pp. 97-105.
- Espinoza Oyarce, D, Shaw, M, Alateeq, K ..., Cherbuin, N. 2020, 'Volumetric brain differences in clinical depression in association with anxiety: a systematic review with meta-analysis', Journal of Psychiatry and Neuroscience, vol. 45, no. 6, pp. 406-429.
- Northey, J, Rattray, B, Pumpa , K ..., Cherbuin, N. 2020, 'Objectively measured physical activity is associated with dorsolateral prefrontal cortex volume in older adults', Neuroimage, vol. 221, no. November 2020, pp. 1-8.
- Tabatabaei Jafari, H, Shaw, M, Walsh, E et al. 2019, 'Regional brain atrophy predicts time to conversion to Alzheimer's disease, dependent on baseline volume', Neurobiology of Aging, vol. 83, pp. 86-94.
- Owens-Walton, C, Jakabek, D, Power, B et al. 2019, 'Increased functional connectivity of thalamic subdivisions in patients with Parkinson's disease', PLOS ONE (Public Library of Science), vol. 14, no. 9.
- Walsh, E, Shaw, M, Sachdev, P et al 2019, 'The impact of type 2 diabetes and body mass index on cerebral structure is modulated by brain reserve', European Journal of Neurology, vol. 26, no. 1, pp. 121-127.
- Tabatabaei Jafari, H, Shaw, M, Walsh, E et al. 2019, 'Cognitive/Functional Measures Predict Alzheimer's Disease, Dependent on Hippocampal Volume', Journals of Gerontology Series B: Psychological Sciences and Social Sciences, vol. Online, pp. 1-10pp.
- Walsh, E, Shaw, M, Espinoza Oyarce, D et al. 2019, 'Assumption-Free Assessment of Corpus Callosum Shape: Benchmarking and Application', Concepts in Magnetic Resonance Part A, pp. 1-10.
- Shaw, M, Sachdev, P, Abhayaratna, W et al 2018, 'Body mass index is associated with cortical thinning with different patterns in mid- and late-life', International Journal of Obesity, vol. 42, pp. 455-461.
- Chopra, S, Shaw, M, Shaw, T et al 2018, 'More highly myelinated white matter tracts are associated with faster processing speed in healthy adults', Neuroimage, vol. 171, pp. 332-340pp.
- Zhang, T, Shaw, M, Walsh, E et al 2018, 'Higher fasting plasma glucose is associated with smaller striatal volume and poorer fine motor skills in a longitudinal cohort', Psychiatry Research: Neuroimaging, vol. 278, pp. 1-6pp.
- Tabatabaei Jafari, H, Walsh, E, Shaw, M et al. 2018, 'A simple and clinically relevant combination of neuroimaging and functional indexes for the identification of those at highest risk of Alzheimer's disease', Neurobiology of Aging, vol. 69, pp. 102-110.
- Fraser, M, Shaw, M, Anstey, K et al 2018, 'Longitudinal Assessment of Hippocampal Atrophy in Midlife and Early Old Age: Contrasting Manual Tracing and Semi-automated Segmentation (FreeSurfer)', Brain Topography: Journal of Functional Neurophysiology, vol. 31, pp. 949-962pp.
- Jin, K, Zhang, T, Shaw, M et al 2018, 'Relationship Between Sulcal Characteristics and Brain Aging', Frontiers in Aging Neuroscience, vol. 10, no. 339, pp. 1-9.
- Menikdiwela, M, Nguyen, C, Li, H & Shaw, M 2018, 'CNN-based small object detection and visualization with feature activation mapping', 2017 International Conference on Image and Vision Computing New Zealand, IVCNZ 2017, IEEE, United States, pp. 1-5.
- Cherbuin, N, Shaw, M, Walsh, E et al 2017, 'Validated Alzheimer's Disease Risk Index (ANU-ADRI) is associated with smaller volumes in the default mode network in the early 60s', Brain Imaging and Behavior, vol. 13, no. 1, pp. 65-74.
- Tabatabaei Jafari, H, Walsh, E, Shaw, M et al. 2017, 'The cerebellum shrinks faster than normal ageing in Alzheimer's disease but not in mild cognitive impairment', Human Brain Mapping, vol. 38, no. 6, pp. 3141-3150.
- Shaw, M, Abhayaratna, W, Anstey, K et al 2017, 'Increasing Body Mass Index at Midlife is Associated with Increased Cortical Thinning in Alzheimer's Disease-Vulnerable Regions', Journal of Alzheimer's Disease, vol. 59, no. 1, pp. 113-120.
- Walsh, E, Shaw, M, Sachdev, P et al 2017, 'Brain atrophy in ageing: Estimating effects of blood glucose levels vs. other type 2 diabetes effects', Diabetes and Metabolism, vol. -, no. -, pp. 1-4pp.
- Lueders, E, Kurth, F, Das, D et al. 2016, 'Associations between corpus callosum size and ADHD symptoms in older adults: The PATH through life study', Psychiatry Research: Neuroimaging, vol. 256, pp. 8-14pp.
- Zhang, T, Shaw, M, Humphries, J et al 2016, 'Higher fasting plasma glucose is associated with striatal and hippocampal shape differences: The 2sweet project', BMJ Open Diabetes Research & Care, vol. 4, no. 1, pp. 1-8pp.
- Shaw, M, Abhayaratna, W, Sachdev, P et al 2016, 'Cortical Thinning at Midlife: The PATH Through Life Study', Brain Topography: Journal of Functional Neurophysiology, vol. 29, no. 6, pp. 875-884pp.
- Shaw, M, Sachdev, P, Anstey, K et al 2016, 'Age-related cortical thinning in cognitively healthy individuals in their 60s: The PATH Through Life study', Neurobiology of Aging, vol. 39, pp. 202-209.
- Fraser, M, Shaw, M & Cherbuin, N 2015, 'A systematic review and meta-analysis of longitudinal hippocampal atrophy in healthy human ageing', Neuroimage, vol. 112, pp. 364-374.
- Tabatabaei Jafari, H, Cherbuin, N & Shaw, M 2015, 'CEREBRAL ATROPHY IN MILD COGNITIVE IMPAIRMENT A SYSTEMATIC REVIEW WITH META ANALYSIS', Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, vol. 1, no. 4, pp. 487-504.
- Shaw, M, Hämäläinen, M & Gutschalk, A 2013, 'How anatomical asymmetry of human auditory cortex can lead to a rightward bias in auditory evoked fields', Neuroimage, vol. 74, pp. 22-29.
- Bluhm, R, Clark, C, McFarlane, A et al 2011, 'Default Network Connectivity During a Working Memory Task', Human Brain Mapping, vol. 32, no. 7, pp. 1029-1035.
- Daniels, J, McFarlane, A, Bluhm, R et al. 2010, 'Switching between executive and default mode networks in posttraumatic stress disorder: Alterations in functional connectivity', Journal of Psychiatry and Neuroscience, vol. 35, no. 4, pp. 258-266.
Projects and Grants
Grants information is drawn from ARIES. To add or update Projects or Grants information please contact your College Research Office.
- Neighbourhood Battery Initiative Research Partnership (Secondary Investigator)
- Community Batteries: market sounding workshop (Primary Investigator)
- Event Detection in Distribution Grids (Primary Investigator)
- Community Models for Deploying and Operating Distributed Energy Resources. (Secondary Investigator)
