Postdoctoral Research Scientist in Cognitive Neurology
Dr Michele Veldsman is a postdoctoral research scientist in the Cognitive Neurology group of Professor Masud Husain. Her research looks at the impact of dementia syndromes and stroke on functional and structural networks in the human brain.
After graduating with a BSc (Hons.) in Experimental Psychology from the University of Bristol in the UK, she worked in the laboratory of Professor Michael Chee in Singapore. Here, she used functional Magnetic Resonance Imaging (fMRI) and Electroencephalography to investigate the effects of sleep deprivation on cognition and brain function. She went on to develop these techniques working with Professor Rhodri Cusack at the Medical Research Council Cognition and Brain Sciences Unit, where she helped to develop a new form of real-time fMRI. She was awarded a highly competitive Medical Research Council Post-Graduate fellowship to fund her PhD at the University of Cambridge. Her PhD examined individual differences in the capacity and precision of visual memory for complex objects using behavioural experiments and fMRI. After her PhD she moved to The Florey Institute of Neuroscience and Mental Health to investigate longitudinal brain connectivity changes in stroke patients with the aim of predicting post-stroke dementia.
Establishing online mentorship for early career researchers: Lessons from the Organization for Human Brain Mapping International Mentoring Programme
Bielczyk N. et al, (2019), European Journal of Neuroscience, 49, 1069 - 1076
Attention network dysfunction underlies memory impairment in posterior cortical atrophy
Veldsman M. et al, (2019), NeuroImage: Clinical, 22, 101773 - 101773
Disconnectomics: Stroke-related disconnection and dysfunction in distributed brain networks
Veldsman M. and Brodtmann A., (2019), International Journal of Stroke, 14, 6 - 8
Default mode network neurodegeneration reveals the remote effects of ischaemic stroke
Veldsman M. et al, (2018), Journal of Neurology, Neurosurgery & Psychiatry, 89, 318 - 320
Brain Atrophy Estimated from Structural Magnetic Resonance Imaging as a Marker of Large-Scale Network-Based Neurodegeneration in Aging and Stroke
Veldsman M., (2017), Geriatrics, 2, 34 - 34