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Developing Integrated Susceptibility and Conductivity MRI for Next Generation Structural and Functional Neuroimaging

Project description

Integrated MRI scan for maximised neuroimaging diagnostics

Although neurodegenerative diseases affect millions of people worldwide, there is no effective cure. Early diagnosis of diseases like Alzheimer’s is crucial for treating patients. Thanks to the magnetic resonance imaging (MRI) picture, they allow proper intervention treatment. However, we still need a means of easier and faster unveiling of degradative processes. The EU-funded DiSCo MRI SFN project aims to develop a new MRI method where three different MRI techniques (susceptibility mapping (SM), conductivity mapping (CM) and resting-state functional MRI (rsfMRI)) will be integrated into simultaneous structural and functional connectivity characterisation for an efficient scan. The maximised applicability, groundbreaking functional electromagnetic connectivity and novel multimodal MRI contrast will allow better diagnosis and treatment.

Objective

MRI is indispensable in the diagnosis of neurodegenerative diseases. These are poorly understood while their prevalence and socio-economic burden continue to rise. Structural and functional MRI can provide biomarkers for early diagnosis and potential therapeutic intervention. My research vision is to develop novel MRI methods for structural and functional mapping of tissue magnetic susceptibility and electrical conductivity as these show great promise for neuroimaging in diseases such as Alzheimer’s (AD).

Susceptibility mapping (SM), which I pioneered, is uniquely sensitive to tissue composition including iron content affected in AD while conductivity mapping (CM) probably reflects cellular disruption in AD. Resting-state functional MRI (rsfMRI) reveals how AD affects brain networks without any tasks or stimulation equipment. However, each technique currently needs a separate time-consuming MRI scan. I will develop an integrated scan for simultaneous structural SM and CM, and rsfMRI functional connectivity characterisation. This efficient scan, ideal for AD patients, will reveal totally new resting-state networks based on electromagnetic properties: resting-state functional SM and resting-state functional CM for the first time. As changes in blood susceptibility underlie fMRI, rsfSM should measure functional connectivity more directly. This also makes it sensitive to physiological noise so I will develop noise removal methods building on fMRI techniques I established. Initial fSM studies have been at 7 Tesla but I will target the more widespread 3T field to maximise applicability. As a leader in both SM and rsfMRI physiological noise removal I have the ideal background to integrate SM and CM with fMRI and extend them for ground-breaking functional electromagnetic connectivity. This research will yield a rich set of novel, multimodal MRI contrasts to allow development of new combined structural and functional biomarkers for early diagnosis of AD and other diseases.

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Programme(s)

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Topic(s)

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Funding Scheme

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ERC-COG - Consolidator Grant

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Call for proposal

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(opens in new window) ERC-2017-COG

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Host institution

UNIVERSITY COLLEGE LONDON
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 721 726,00
Address
GOWER STREET
WC1E 6BT LONDON
United Kingdom

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Region
London Inner London — West Camden and City of London
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 721 726,00

Beneficiaries (1)

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