Rimona S Weil

Has grant

University College London
Country flagUnited Kingdom

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Recent Grants

Grant: Close

Using neuroimaging data to map dysfunctional brain networks and predict symptom severity in Parkinson's disease progression.

Open Date: 2018-09-23

Close Date: 2023-03-29

Grant: Close

Using visual dysfunction to understand dementia in Parkinson’s disease

Open Date: 2017-06-12

Close Date: 2023-09-12

Grant: Close

Vision in Parkinson's Disease

Open Date: 2015-09-07

Close Date:

Grant: Close

The neural mechanisms of perceptual completion in the intact and damaged human brain

Open Date: 2005-10-05

Close Date: 2009-10-04

Articles (11)

Parkinson’s disease is a common and debilitating neurodegenerative disorder, with over half of patients progressing to postural instability, dementia, or death within 10 years of diagnosis. However, the onset and rate of progression to poor outcomes is highly variable, underpinned by heterogeneity in underlying pathological processes. Quantitative and sensitive measures predicting poor outcomes will be critical for targeted treatment, but most studies to-date have been limited to a single modality or assessed patients with established cognitive impairment. Here, we used multimodal neuroimaging and plasma measures in 98 patients with Parkinson’s disease and 28 age-matched controls followed-up over 3 years. We examined: grey matter (cortical thickness and subcortical volume), white matter (fibre-cross section, a measure of macrostructure; and fibre density, a measure of microstructure) at whole-brain and tract level; structural and functional connectivity; and plasma levels of neurofilament light chain (NFL) and phosphorylated tau (p-tau) 181. We evaluated relationships with subsequent poor outcomes, defined as development of mild cognitive impairment, dementia, frailty or death at any time during follow-up, in people with Parkinson’s disease. We show that extensive white matter macrostructural changes are already evident at baseline assessment in people with Parkinson’s disease who progress to poor outcomes (n = 31): with up to 19% reduction in fibre cross-section in multiple tracts, and a subnetwork of reduced structural connectivity strength, particularly involving connections between right fronto-parietal and left frontal, right fronto-parietal and left parietal, and right temporo-occipital and left parietal modules. In contrast, grey matter volumes and functional connectivity were preserved in people with Parkinson’s disease with poor outcomes. NFL, but not p-tau181 levels were increased in people with Parkinson’s disease with poor outcomes, and correlated with white matter loss. These findings suggest that imaging sensitive to white matter macrostructure and plasma NFL may be useful early markers of poor outcomes in Parkinson’s disease. As new targeted treatments for neurodegenerative disease are emerging, these measures show important potential to aid patient selection for treatment and improve stratification for clinical trials.

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (9)

Jonathan Roiser

University College London

UNITED KINGDOM
View details

Jeremy Johnson

Affiliate Senior Lecturer

King's College London

UNITED KINGDOM
View details

Eileen Joyce

University College London

UNITED KINGDOM
View details

Jason Warren

University College London

UNITED KINGDOM
View details

Harry Costello

University College London

UNITED KINGDOM
View details

Andreas Højlund

Aarhus University

DENMARK
View details

Sarang Dalal

Professor

Aarhus University

DENMARK
View details

Charles Marshall

Clinical Senior Lecturer

Queen Mary University of London

UNITED KINGDOM
View details

Andrew John Lees

University College London

UNITED KINGDOM
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.