Vesna Vuksanovic joined University of Aberdeen as Research Fellow in Neuroimaging in 2015. She was appointed Research Fellow at Technical University of Berlin Institute of Theoretical Physics and at Bernstein Centre for Computational Neuroscience Berlin. She has been a Royal Society Visiting Research Fellow at Lancaster University Department of Physics.
In my work I combine methods and concepts from physics (e.g., complex systems) and statistics (e.g., machine learning compatible data classification algorithms) and apply them to fundamental problems in clinical and cognitive neuroscience. Complex systems methods provide a framework for analysing increasingly complex, multimodal, big-datasets in neuroimaging and represent emerging clinical tools for assessing brain-network disorders. I am using these methods to understand how different brain areas interact with each other to support normal cognitive functions and how brain diseases, such as neurodegenerative diseases that cause dementias, impact these interactions. My aim is to develop a model of the brain that maps neurodegeneration in dementia in a way that helps clinicians when diagnosing patients and when selecting those who would benefit from currently available treatments for dementia or from participating in clinical trials.
- clinical trials of novel Tau Aggregation Inhibitor therapies in Alzheimer's disease
- behavioural variant FrontoTemporal Dementia
Current work combines neuroimaging and clinical data in patients with Alzheimer’s disease and behavioural variant frontotemporal dementia. Alzheimer’s disease and behavioural variant frontotemporal dementia are two brain diseases that can cause dementia. Both diseases cause progressive loss of cognitive abilities and behavioural problems to greater or less extent. There are no current treatments for either disease that stops or reverses disease progression. Both diseases can cause similar symptoms and it is difficult to diagnose either condition or to distinguish them, especially in their early stages when new treatments are likely to be most valuable. Using information about patterns of loss of brain tissue across different parts of the brain, I am developing new ways of assessing brain scans and test results so that these methods give us a more accurate maps of the brain in these patients and give us new ways of making diagnosis. The research is supported by the WisTa LAboratories Ltd futured TAURx.
Reference: IJNS (in-press) This study represents first attempt to characterize the correlational networks in cortical thickness and surface area in a large population of behavioural variant FrontoTemporal Dementia and Alzheimer's disease. These networks were bulit on (anatomical) T1 MRI scans used in routine clinical practice.
Reference: NeuroImage 97,1(2014)
Reference: Editor's Picks from Chaos
Poster prize "Honorable Mention": 'Remote synchrony and functional networks'Fourth Biennial Conference on Resting State/Brain Connectivity, Sept 2014, MIT, Boston, USA
"Best Poster" on new insights into cardiovascular-brain interactions: 'Dynamic changes in network synchrony' International Conference on Biological Oscillations, Apr 2016, Lancaster University, UK
Data Blitz: 'Organisation of structural correlation networks in dementia' 6th Cambridge Neuroscience Symposium | Neural Networks in Health and Disease, Sept 2017
External:Dr Philipp Hoevel(TU Berlin)
RSAT(2019-2021): "Brain Flexibility and Reselience to Dementia", £118K(PI); MRS-TauRx PhD studneship (2018-2022): "Morphological Networks and Diagnostic Accuracy in Dementia", £92K(PI); ARUK Scottish Network (2018-2019): "Cholinergic and Default Mode Networks in Alzheimer's Disease", £3.2K(PI)
BP5011(2017-2019):Radiation in Medical Imaging: Maths for Imaging; BP5505(2018-2019):Medical Image Processing and Analysis: Network Science in Neuroimaging
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