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Thomas Foltynie

Researcher at UCL Institute of Neurology

Publications -  381
Citations -  26959

Thomas Foltynie is an academic researcher from UCL Institute of Neurology. The author has contributed to research in topics: Deep brain stimulation & Parkinson's disease. The author has an hindex of 80, co-authored 352 publications receiving 21023 citations. Previous affiliations of Thomas Foltynie include University College London & University of Kent.

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Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies

Mike A. Nalls, +248 more
- 01 Dec 2019 - 
TL;DR: These data provide the most comprehensive survey of genetic risk within Parkinson's disease to date, providing a biological context for these risk factors, and showing that a considerable genetic component of this disease remains unidentified.
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Adaptive deep brain stimulation in advanced Parkinson disease

TL;DR: This work uses a BCI to interpret pathological brain activity in patients with advanced Parkinson disease and to use this feedback to control when therapeutic deep brain stimulation (DBS) is delivered to improve on both the efficacy and efficiency of conventional continuous DBS.
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Evolution of cognitive dysfunction in an incident Parkinson's disease cohort

TL;DR: This work clarifies the profile of cognitive dysfunction in early PD and demonstrates that the dementing process in this illness is heralded by both postural and gait dysfunction and cognitive deficits with a posterior cortical basis, reflecting probable non-dopaminergic cortical Lewy body pathology.
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The distinct cognitive syndromes of Parkinson's disease: 5 year follow-up of the CamPaIGN cohort

TL;DR: The work suggests that the dementing process in Parkinson's disease is predictable and related to tau while frontal-executive dysfunction evolves independently with a more dopaminergic basis and better prognosis.
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The cognitive ability of an incident cohort of Parkinson's patients in the UK. The CamPaIGN study

TL;DR: The pattern of cognitive deficits seen among patients using the Mini-Mental State Examination, a pattern recognition task, and the Tower of London task suggests that sub-groups of patients based on cognitive ability might be identifiable even in the early stages of disease, which may reflect regional differences in the underlying neuropathological processes.