Can neuroimaging predict dementia in Parkinson's disease?

Brain 2018 09;141(9):2545-2560

Wellcome Centre for Human Neuroimaging, UCL, Queen Square, London, UK.

Dementia in Parkinson's disease affects 50% of patients within 10 years of diagnosis but there is wide variation in severity and timing. Thus, robust neuroimaging prediction of cognitive involvement in Parkinson's disease is important: (i) to identify at-risk individuals for clinical trials of potential new treatments; (ii) to provide reliable prognostic information for individuals and populations; and (iii) to shed light on the pathophysiological processes underpinning Parkinson's disease dementia. To date, neuroimaging has not made major contributions to predicting cognitive involvement in Parkinson's disease. This is perhaps unsurprising considering conventional methods rely on macroscopic measures of topographically distributed neurodegeneration, a relatively late event in Parkinson's dementia. However, new technologies are now emerging that could provide important insights through detection of other potentially relevant processes. For example, novel MRI approaches can quantify magnetic susceptibility as a surrogate for tissue iron content, and increasingly powerful mathematical approaches can characterize the topology of brain networks at the systems level. Here, we present an up-to-date overview of the growing role of neuroimaging in predicting dementia in Parkinson's disease. We discuss the most relevant findings to date, and consider the potential of emerging technologies to detect the earliest signs of cognitive involvement in Parkinson's disease.

Download full-text PDF

Source Listing
September 2018
41 Reads

Publication Analysis

Top Keywords

parkinson's disease
involvement parkinson's
dementia parkinson's
cognitive involvement
emerging provide
provide insights
insights detection
technologies emerging
parkinson's dementia
dementia technologies
detection relevant
example novel
approaches quantify
quantify magnetic
mri approaches
novel mri
processes example


(Supplied by CrossRef)
Cognitive impairment in incident, untreated parkinson disease: the norwegian parkwest study
Aarsland et al.
Neurology 2009
Mild cognitive impairment in Parkinson disease: a multicenter pooled analysis
Aarsland et al.
Neurology 2010
Discriminating cognitive status in Parkinson’s disease through functional connectomics and machine learning
Abós et al.
Sci Rep 2017
The whole-brain pattern of magnetic susceptibility perturbations in Parkinson’s disease
Acosta-Cabronero et al.
Brain 2016
Mild cognitive impairment in Parkinson’s disease is associated with a distributed pattern of brain white matter damage
Agosta et al.
Hum Brain Mapp 2014
Regional brain amyloid-β accumulation associates with domain-specific cognitive performance in Parkinson disease without dementia
Akhtar et al.
PLoS One 2017
What predicts cognitive decline in de novo Parkinson’s disease?
Arnaldi et al.
Neurobiol Aging 2012
Exenatide once weekly versus placebo in Parkinson’s disease: a randomised, double-blind, placebo-controlled trial
Athauda et al.
Lancet 2017
Hippocampal atrophy predicts conversion to dementia after STN-DBS in Parkinson’s disease
Aybek et al.
Park Relat Disord 2009
Longitudinal study of cognitive and cerebral metabolic changes in Parkinson’s disease
Baba et al.
J Neurol Sci 2017
Functional brain networks and cognitive deficits in Parkinson’s disease
Baggio et al.
Hum Brain Mapp 2014

Similar Publications