Thesis
Statistical modelling of cognitive function at early stages of Parkinson’s disease
University of the Sunshine Coast, Queensland
Master of Arts, University of the Sunshine Coast
2019
DOI:
https://doi.org/10.25907/00394
Abstract
Cognitive deficit is a common non-motor manifestation of Parkinson's disease (PD), even at the early stages. While links between some clinical or pathological measures and cognition in early PD have been established, adequate identification and prediction of cognitive deficits and decline in patients are limited due to the significant heterogeneity of cognition in PD, as well as a substantial overlap with other neurodegenerative conditions and healthy individuals. As a result, there has been an increased recognition of the need for an approach which would involve simultaneous evaluation of a combination of multiple measures to adequately identify and predict cognitive deficits and decline in PD patients. The aim of this Thesis was to identify and characterise networks of significant direct and indirect effects of the commonly measured clinical and pathological parameters affecting cognition in early PD at baseline.
Details
- Title
- Statistical modelling of cognitive function at early stages of Parkinson’s disease
- Authors
- Alexandra Gramotnev
- Contributors
- Jim Lagopoulos (Supervisor)
- Awarding institution
- University of the Sunshine Coast
- Degree awarded
- Master of Arts
- Publisher
- University of the Sunshine Coast, Queensland
- DOI
- 10.25907/00394
- Organisation Unit
- University of the Sunshine Coast, Queensland; Thompson Institute
- Language
- English
- Record Identifier
- 99451454602621
- Output Type
- Thesis
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