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Cited by 435

The DOI matches its Crossref record; 287 of the 287 references it cites were found in a registry or an index.

Parkinson’s disease dementia: a neural networks perspective

Open access
Gratwicke, James, Jahanshahi, Marjan, Foltynie, Thomas·2015·Brain

Abstract

In the long-term, with progression of the illness, Parkinson's disease dementia affects up to 90% of patients with Parkinson's disease. With increasing life expectancy in western countries, Parkinson's disease dementia is set to become even more prevalent in the future. However, current treatments only give modest symptomatic benefit at best. New treatments are slow in development because unlike the pathological processes underlying the motor deficits of Parkinson's disease, the neural mechanisms underlying the dementing process and its associated cognitive deficits are still poorly understood. Recent insights from neuroscience research have begun to unravel the heterogeneous involvement of several distinct neural networks underlying the cognitive deficits in Parkinson's disease dementia, and their modulation by both dopaminergic and non-dopaminergic transmitter systems in the brain. In this review we collate emerging evidence regarding these distinct brain networks to give a novel perspective on the pathological mechanisms underlying Parkinson's disease dementia, and discuss how this may offer new therapeutic opportunities.

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Metadata

Authors
Gratwicke, J., Jahanshahi, M., & Foltynie, T.
Venue
Brain
Published
2015-04-16
Volume
138
Issue
6
Pages
1454-1476
ISSN
  • 0006-8950 (ISSN-L)
  • 1460-2156
OpenAlex
W2129697505
Cited by
435
References
287
FWCI
22.27
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Parkinson’s disease dementia: a neural networks perspective. https://app.cochat.ai/papers/10.1093/brain/awv104
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Gratwicke, J., Jahanshahi, M., & Foltynie, T. (2015). Parkinson’s disease dementia: a neural networks perspective. Brain. https://doi.org/10.1093/brain/awv104

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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