ArticleFrontiers in aging neuroscience2022
A New Instrument Combines Cognitive and Social Functioning Items for Detecting Mild Cognitive Impairment and Dementia in Parkinson's Disease.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 23 citations in OpenAlex.
- The role of dynamic Lowenstein occupational therapy and cognitive assessment scale for the elderly with Parkinson's disease.BMC geriatrics · 2026Article
- Clinical usability of telephone-based cognitive screening tests in Parkinson's disease.Journal of Parkinson's disease · 2026Article
- Deciphering the Impact of EPHA1-AS1 Gene Polymorphism on Social Cognition Deficits in Parkinson's Disease.CNS neuroscience & therapeutics · 2026Article
- Subitem-level multi-scale assessment and machine learning for three-class cognitive status classification in Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Association of CD33 genetic variants with neurocognitive profiles in chronic viral hepatitis.BJPsych open · 2025Article
- Data-driven characterization of distinct cognitive subtypes in Parkinson's disease dementia.NPJ Parkinson's disease · 2025Article
- The Vestibulo-Ocular Reflex is Associated With Visuospatial Dysfunction in Patients With Parkinson's Disease.Brain and behavior · 2025Article
- Dual-task-related gait patterns as possible marker of precocious and subclinical cognitive alterations in Parkinson disease.Scientific reports · 2025Article
- A domain-based framework for cognitive profile identification in Parkinson's disease across diverse samples.Frontiers in neuroanatomy · 2025Article
- The impact of impulse control disorders on cognitive decline inFrontiers in neurology · 2025Article
- Neuropsychiatric symptoms in Parkinson's disease: review of data from the Arab world.The Journal of international medical research · 2024Review
- Disgust-specific impairment of facial emotion recognition in Parkinson's disease patients with mild cognitive impairment.Social cognitive and affective neuroscience · 2024Article
- GBA moderates cognitive reserve's effect on cognitive function in patients with Parkinson's disease.Journal of neurology · 2024Article
- A genome-wide association study coupled with machine learning approaches to identify influential demographic and genomic factors underlying Parkinson's disease.Frontiers in genetics · 2023Article
- Development of a Brief Cognitive Screening Tool for Predicting Postoperative Delirium in Patients with Parkinson's Disease: A Secondary Analysis.Clinical interventions in aging · 2023Article
- Investigating the interaction between neuropsychiatry features and daily activities on social function in patients with Parkinson's disease with mild cognitive impairment.BJPsych open · 2022Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The commonly used screening tests for Parkinson's disease (PD) are the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE), both of which only focus on cognitive function. A composite assessment that considers both cognitive and social dysfunction in PD would be helpful in detecting mild cognitive impairment (MCI) and PD dementia (PDD). Objective: We aimed to simplify the commonly used tools and combine cognitive and social functioning tests to detect early MCI and PDD. Materials and Methods: A total of 166 participants (84 PD patients and 82 healthy) were recruited who completed the MMSE, MoCA, PD social functioning scale (PDSFS), clock drawing test, activities of daily living, comprehensive neuropsychological assessment (e.g., executive, attention, language, memory, and visuospatial functions), and movement disorder society (MDS)-unified PD rating scale. According to the MDS diagnostic criteria, the patients were grouped into PD-nonMCI, PD-MCI, or PDD. Results: To detect PD-MCI, the optimal cut-off scores for the simplified MoCA and the combined test were 9 and 35. The discrimination values measured by the area under the receiver operating characteristic curve (AUC) of the two tests were 0.767 ( Conclusion: We suggest considering both cognitive and social functions when detecting PD-MCI and PDD.
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