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.
Transcranial ultrasound stimulation to human middle temporal complex improves visual motion detection and modulates electrophysiological responses.
Butler CR. et al, (2022), Brain Stimul
Differential impairment of cerebrospinal fluid synaptic biomarkers in the genetic forms of frontotemporal dementia.
Sogorb-Esteve A. et al, (2022), Alzheimer's research & therapy, 14
Cardiometabolic multimorbidity, genetic risk, and dementia: a prospective cohort study.
Tai XY. et al, (2022), Lancet Healthy Longev, 3, e428 - e436
Penalized generalized estimating equations for relative risk regression with applications to brain lesion data
Kindalova P. et al, (2021)
Centering inclusivity in the design of online conferences—An OHBM–Open Science perspective
Levitis E. et al, (2021), GigaScience, 10