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Cognitive phenotypes in Parkinson's disease: A latent profile analysis
Edoardo Barvas1, Giulia Mattavelli2, Francesca Zappini1
1CeRiN, Centro di Riabilitazione Neurocognitiva, CIMeC, Università di Trento.
Neuropsychology
|May 27, 2021
Summary
Parkinson's disease (PD) patients exhibit distinct cognitive profiles, ranging from mild impairment to severe deficits affecting daily functioning. These cognitive phenotypes are independent of disease stage, motor symptoms, anxiety, or depression.
Area of Science:
- Neurology
- Neuropsychology
- Cognitive Science
Background:
- Neurocognitive disorders are prevalent and varied in Parkinson's disease (PD).
- Understanding these cognitive variations is crucial for patient management.
Purpose of the Study:
- To identify distinct cognitive phenotypes in Parkinson's disease using a data-driven approach.
- To examine the relationship between cognitive profiles and factors like anxiety, depression, and motor disturbances.
Main Methods:
- Latent profile analysis was performed on neuropsychological test data from 65 idiopathic Parkinson's disease patients.
- The assessment battery covered attention, memory, executive functions, social cognition, language, and visuospatial abilities.
Main Results:
- A three-cluster model identified distinct cognitive profiles: mild impairment (Cluster A), intermediate impairment (Cluster B), and severe impairment (Cluster C).
- Cluster C patients showed significant deficits in executive functioning and posterior cortical tasks (naming, visuospatial abilities).
- Cognitive profiles were not associated with age, gender, disease duration, motor severity, or mood states, but severe impairment correlated with poorer daily functioning.
Conclusions:
- Three distinct cognitive phenotypes were identified in Parkinson's disease patients.
- These phenotypes relate to daily functioning but are independent of disease stage, motor symptoms, anxiety, and depression.
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