Miss Hannah Chandler
Research Associate
School of Physics and Astronomy
- Available for postgraduate supervision
Overview
Research summary
The brain requires a constant supply of energy, where the flow of blood via an intricate network of blood vessels needs to be well choreographed to meet tissue energy demands. My research has revealed that young individuals with an increased genetic risk for Alzheimer’s disease (AD) have significantly reduced cerebral blood flow that remains consistent across the lifespan, where higher regional AD-risk gene expression is associated with reduced cerebral blood flow. My research along with others in the field of dementia has shown that breakdown in the regulation of the brain’s vascular system is one of the earliest detectable changes in Alzheimer’s disease. Therefore, targeting the brain’s vascular system for preventative strategies may help to alleviate vascular dysregulation in those at risk, and delay the progression of AD related pathophysiology.
I have supported the validation of novel MRI methods that have clinical utility for diagnosing vascular dysregulation in disease. I am now applying these novel MRI imaging methods to a number of clinical cohorts including multiple sclerosis, dementia, epilepsy, and rheumatoid arthritis. My work also involves the use of PET imaging methodologies to assess brain physiology. As an ECR in PET imaging I have teamed up with Dr Mattia Veronese and Professor Federico Turkheimer at King’s College London where we co-founded the PET Partnership UK (PPUK). The PPUK was developed to enable larger scale collaborations across the UK and beyond to tackle important research questions in the study of disease. It also provides a resource for ECR’s to find support with PET imaging study design, data collection and analysis.
For PPUK see: https://petpartnershipuk.com
Publication
2024
- Driver, I. D. et al. 2024. Breath-hold calibrated fMRI mapping of absolute cerebral metabolic rate of oxygen metabolism (CMRO2): an assessment of the accuracy and repeatability in a healthy adult population. Imaging Neuroscience 2, pp. 1-14. (10.1162/imag_a_00298)
- Wright, M. E. et al. 2024. OP-07 Retinal and cortical vascular function across the menstrual cycle. Presented at: Women in Vision UK Winter Meeting 2023, Cambridge, UK, 12 December 2023, Vol. 9., (10.1136/bmjoo-2024-WVUK.7)
2023
- Lancaster, T. et al. 2023. Proof-of-concept recall-by-genotype study of extremely low and high Alzheimer’s polygenic risk reveals autobiographical deficits and cingulate cortex correlates. Alzheimer's Research and Therapy 15, article number: 213. (10.1186/s13195-023-01362-y)
- Chandler, H. L. et al. 2023. Reduced brain oxygen metabolism in patients with multiple sclerosis: Evidence from dual-calibrated functional MRI. Journal of Cerebral Blood Flow and Metabolism 43(1), pp. 115-128. (10.1177/0271678X221121849)
2022
- Chiarelli, A. M. et al. 2022. A flow-diffusion model of oxygen transport for quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) with single gas calibrated fMRI. Journal of Cerebral Blood Flow and Metabolism 42(7), pp. 1192-1209. (10.1177/0271678X221077332)
2021
- Steventon, J. et al. 2021. Changes in white matter microstructure and MRI-derived cerebral blood flow after one-week of exercise training. Scientific Reports 11, article number: 22061. (10.1038/s41598-021-01630-7)
- Shaw, A. D., Chandler, H. L., Hamandi, K., Muthukumaraswamy, S. D., Hammers, A. and Singh, K. D. 2021. Tiagabine induced modulation of oscillatory connectivity and activity match PET-derived, canonical GABA-A receptor distributions. European Neuropsychopharmacology 50, pp. 34-45. (10.1016/j.euroneuro.2021.04.005)
- Smith, R. L., Chandler, H., Alsyed, E., Bartley, L., Fielding, P. and Marshall, C. 2021. Deep learning PET epilepsy detection with a novel symmetric loss convolutional autoencoder. Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, 31 October -7 November 20202020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE pp. 1-3., (10.1109/NSS/MIC42677.2020.9507980)
- Murray, A. N., Chandler, H. L. and Lancaster, T. M. 2021. Multimodal hippocampal and amygdala subfield volumetry in polygenic risk for Alzheimer's disease. Neurobiology of Aging 98, pp. 33-41. (10.1016/j.neurobiolaging.2020.08.022)
- Chandler, H. L. et al. 2021. Using dual-calibrated functional MRI to map brain oxygen supply and consumption in multiple sclerosis. [Online]. bioRxiv. Available at: https://doi.org/10.1101/2021.01.07.425819
- Chandler, H. L., Wise, R. G., Linden, D. E., Williams, J., Murphy, K. and Lancaster, T. M. 2021. Alzheimer's genetic risk effects on cerebral blood flow are spatially consistent and proximal to gene expression across the lifespan. [Online]. bioRxiv. (10.1101/2020.12.31.424949v1) Available at: https://doi.org/10.1101/2020.12.31.424949
2020
- Chandler, H. L., Hodgetts, C. J., Caseras, X., Murphy, K. and Lancaster, T. M. 2020. Polygenic risk for Alzheimer's disease shapes hippocampal scene-selectivity. Neuropsychopharmacology 45, pp. 1171-1178. (10.1038/s41386-019-0595-1)
- Shaw, A. D., Chandler, H. L., Hamandi, K., Muthukumaraswamy, S. D., Hammers, A. and Singh, K. D. 2020. GABAA receptor mapping in human using non-invasive electrophysiology. [Online]. bioRxiv. Available at: https://doi.org/10.1101/2020.05.11.087726
- Germuska, M., Chandler, H., Okell, T., Fasano, F., Tomassini, V., Murphy, K. and Wise, R. 2020. A frequency-domain machine learning method for dual-calibrated fMRI mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen consumption (CMRO2). Frontiers in Artificial Intelligence 3, article number: 12. (10.3389/frai.2020.00012)
2019
- Chandler, H. L., Wise, R. G., Murphy, K., Tansey, K. E., Linden, D. E. J. and Lancaster, T. M. 2019. Polygenic impact of common genetic risk loci for Alzheimer's disease on cerebral blood flow in young individuals. Scientific Reports 9, article number: 467. (10.1038/s41598-018-36820-3)
- Germuska, M. et al. 2019. Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity. NeuroImage 184, pp. 717-728. (10.1016/j.neuroimage.2018.09.035)
Articles
- Driver, I. D. et al. 2024. Breath-hold calibrated fMRI mapping of absolute cerebral metabolic rate of oxygen metabolism (CMRO2): an assessment of the accuracy and repeatability in a healthy adult population. Imaging Neuroscience 2, pp. 1-14. (10.1162/imag_a_00298)
- Lancaster, T. et al. 2023. Proof-of-concept recall-by-genotype study of extremely low and high Alzheimer’s polygenic risk reveals autobiographical deficits and cingulate cortex correlates. Alzheimer's Research and Therapy 15, article number: 213. (10.1186/s13195-023-01362-y)
- Chandler, H. L. et al. 2023. Reduced brain oxygen metabolism in patients with multiple sclerosis: Evidence from dual-calibrated functional MRI. Journal of Cerebral Blood Flow and Metabolism 43(1), pp. 115-128. (10.1177/0271678X221121849)
- Chiarelli, A. M. et al. 2022. A flow-diffusion model of oxygen transport for quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) with single gas calibrated fMRI. Journal of Cerebral Blood Flow and Metabolism 42(7), pp. 1192-1209. (10.1177/0271678X221077332)
- Steventon, J. et al. 2021. Changes in white matter microstructure and MRI-derived cerebral blood flow after one-week of exercise training. Scientific Reports 11, article number: 22061. (10.1038/s41598-021-01630-7)
- Shaw, A. D., Chandler, H. L., Hamandi, K., Muthukumaraswamy, S. D., Hammers, A. and Singh, K. D. 2021. Tiagabine induced modulation of oscillatory connectivity and activity match PET-derived, canonical GABA-A receptor distributions. European Neuropsychopharmacology 50, pp. 34-45. (10.1016/j.euroneuro.2021.04.005)
- Murray, A. N., Chandler, H. L. and Lancaster, T. M. 2021. Multimodal hippocampal and amygdala subfield volumetry in polygenic risk for Alzheimer's disease. Neurobiology of Aging 98, pp. 33-41. (10.1016/j.neurobiolaging.2020.08.022)
- Chandler, H. L., Hodgetts, C. J., Caseras, X., Murphy, K. and Lancaster, T. M. 2020. Polygenic risk for Alzheimer's disease shapes hippocampal scene-selectivity. Neuropsychopharmacology 45, pp. 1171-1178. (10.1038/s41386-019-0595-1)
- Germuska, M., Chandler, H., Okell, T., Fasano, F., Tomassini, V., Murphy, K. and Wise, R. 2020. A frequency-domain machine learning method for dual-calibrated fMRI mapping of oxygen extraction fraction (OEF) and cerebral metabolic rate of oxygen consumption (CMRO2). Frontiers in Artificial Intelligence 3, article number: 12. (10.3389/frai.2020.00012)
- Chandler, H. L., Wise, R. G., Murphy, K., Tansey, K. E., Linden, D. E. J. and Lancaster, T. M. 2019. Polygenic impact of common genetic risk loci for Alzheimer's disease on cerebral blood flow in young individuals. Scientific Reports 9, article number: 467. (10.1038/s41598-018-36820-3)
- Germuska, M. et al. 2019. Dual-calibrated fMRI measurement of absolute cerebral metabolic rate of oxygen consumption and effective oxygen diffusivity. NeuroImage 184, pp. 717-728. (10.1016/j.neuroimage.2018.09.035)
Conferences
- Wright, M. E. et al. 2024. OP-07 Retinal and cortical vascular function across the menstrual cycle. Presented at: Women in Vision UK Winter Meeting 2023, Cambridge, UK, 12 December 2023, Vol. 9., (10.1136/bmjoo-2024-WVUK.7)
- Smith, R. L., Chandler, H., Alsyed, E., Bartley, L., Fielding, P. and Marshall, C. 2021. Deep learning PET epilepsy detection with a novel symmetric loss convolutional autoencoder. Presented at: 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), Boston, MA, USA, 31 October -7 November 20202020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). IEEE pp. 1-3., (10.1109/NSS/MIC42677.2020.9507980)
Websites
- Chandler, H. L. et al. 2021. Using dual-calibrated functional MRI to map brain oxygen supply and consumption in multiple sclerosis. [Online]. bioRxiv. Available at: https://doi.org/10.1101/2021.01.07.425819
- Chandler, H. L., Wise, R. G., Linden, D. E., Williams, J., Murphy, K. and Lancaster, T. M. 2021. Alzheimer's genetic risk effects on cerebral blood flow are spatially consistent and proximal to gene expression across the lifespan. [Online]. bioRxiv. (10.1101/2020.12.31.424949v1) Available at: https://doi.org/10.1101/2020.12.31.424949
- Shaw, A. D., Chandler, H. L., Hamandi, K., Muthukumaraswamy, S. D., Hammers, A. and Singh, K. D. 2020. GABAA receptor mapping in human using non-invasive electrophysiology. [Online]. bioRxiv. Available at: https://doi.org/10.1101/2020.05.11.087726
Research
Funding
ESRC - PhD funding
MRC - Confidence in Concept.
Research group
MRI methods development and application in health and disease.
Research collaborators
Internal:
- Professor Julie Williams (UK DRI)
- Professor Neil Harrison (CUBRIC)
- Professor Christopher Marshall (PETIC)
- Professor Kevin Murphy (CUBRIC/Physics)
- Professor Ernest Choy (Consultant clinician, Rheumatology)
- Dr Chineze Ivenso (Consultant Psychiatrist at Aneurin Bevan, UHB)
External:
- Professor Felix Wehrli (University of Pennsylvania, USA)
- Professor Xiang He (Stony Brook University, New York, USA)
- Professor Federico Turkheimer and Dr Mattia Veronese (King's College London, UK)
- Professor Alexander Hammers (King's College London, UK)
- Professor Andy Jones (University of Exeter, UK)
- Dr Thomas Lancaster (University of Bath)
- Professor Clive Ballard and Dr Byron Creese (University of Exeter, UK).
- Dr Axel Montagne (UK DRI, Edinburgh).
- Professor Richard Wise (University of Chieti-Pescara, Italy)
Teaching
BSc Psychology - Research Methods and Statistics
MSc Neuroimaging - MRI/fMRI methods and analysis
MSc Neuroimaging - MRI practical sessions.
MSc Neuroimaging - Journal clubs
Biography
Undergraduate education
- Psychology with Neuropsychology (First class hons)
Postgraduate education
- M.Sc Neuroimaging (Distinction)
- Ph.D Cognitive neuroscience and neuroimaging
Employment
- Research associate MRC-CiC funded (December 2017 - April 2018)
- Cardiff University Wellcome Trust Strategic Award post-doctoral research associate (April 2018- present)
Contact Details
+44 29208 74000 ext 20057
Cardiff University Brain Research Imaging Centre, Maindy Road, Cardiff, CF24 4HQ