Giovanna Zamboni is a neurologist with clinical and research expertise in the field of dementia, cognition and neuroimaging.
She studied Medicine and completed Neurologytraining in Italy (Modena), then spent 2 years as a postdoctoral fellow in the United States, at the Cognitive Neuroscience Section of the National Institute of Neurological Disorders and Stroke (NIH). In 2008 she moved to Oxford to lead a collaborative imaging study between the FMRIB centre and OPTIMA, under the supervision of Professor Wilcock. Here she focused on the use of imaging (including resting- and task-fMRI) in patients with Alzheimer’s disease and mild cognitive impairment, and completed a DPhil in 2012.
She is currently working in the Dementia and Stroke Prevention Unit led by Prof Rothwell with a focus on neuroimaging and vascular dementia. She is also active clinically and works as a Consultant Neurologist at the John Radcliffe Hospital, seeing patients with a range of neurological diseases in her outpatient clinic and on the neuroscience ward.
Senior Clinical Fellow
- Honorary Consultant Neurologist
My research focuses on using neuroimaging to improve assessment, early diagnosis and prevention of cognitive decline in individuals with vascular and neurodegenerative dementias. I also have a special interest in the brain correlates and prognostic value of behavioural symptoms that frequently occur in dementia such as anosognosia (also known as loss of insight orunawareness of disease).
I have previously used neuroimaging to study the behavioural and cognitive changes that occur in patients with Alzheimer’s disease, mild cognitive impairment, frontotemporal dementia, and corticobasal degeneration. I am currently using neuroimaging to study the interplay between cerebrovascular disease and neurodegeneration in people with mixed and vascular dementia, with the aim of (i) improving early recognition of individuals at risk of cognitive decline and (ii) measuring the effect of pragmatic interventions on the structure and function of their brain.
SOURCES OF FUNDING
Alzheimer's Research UK
Oxford Biomedical Research Centre
Sir Stewart Halley Trust
Classification and characterization of periventricular and deep white matter hyperintensities on MRI: A study in older adults.
Griffanti L. et al, (2018), Neuroimage, 170, 174 - 181
Clinical Correlates, Ethnic Differences, and Prognostic Implications of Perivascular Spaces in Transient Ischemic Attack and Ischemic Stroke.
Lau K-K. et al, (2017), Stroke, 48, 1470 - 1477
White Matter Imaging Correlates of Early Cognitive Impairment Detected by the Montreal Cognitive Assessment After Transient Ischemic Attack and Minor Stroke.
Zamboni G. et al, (2017), Stroke, 48, 1539 - 1547
White matter imaging correlates of early cognitive impairment detected by the MoCA after TIA and minor stroke
Zamboni G. et al, (2017), Stroke
BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities.
Griffanti L. et al, (2016), Neuroimage, 141, 191 - 205