Uncovering Cognitive Subtypes in Essential Tremor: A Data-Driven Clustering Approach in Cognitively Normal Individuals
A data-driven clustering approach was applied to cognitive variables in HC subjects and ET patients. HC formed a homogeneous cluster. ET were divided into two cognitive subgroups: one cluster with high performance, and one memory-impaired cluster, significantly diverging from both the intact ET subgroup and HC. This may represent a cognitively vulnerable ET subgroup, with strong implications for targeted screening, early neuroprotective interventions and personalized clinical management.
Authors
- Andrea Quattrone (ORCID: https://orcid.org/0000-0003-2071-2083)
- Aldo Quattrone (ORCID: https://orcid.org/0000-0003-2001-957X)
- Camilla Calomino (ORCID: https://orcid.org/0009-0002-7936-8408)
- Alessia Sarica (ORCID: https://orcid.org/0000-0003-1362-6718)
- Fabiana Novellino (ORCID: https://orcid.org/0000-0002-5898-938X)
- Maria Salsone (ORCID: https://orcid.org/0000-0001-5375-3733)
- Rita Nisticò (ORCID: https://orcid.org/0000-0003-4664-1500)
Institutions
- Vita-Salute San Raffaele University (IT)
- Magna Graecia University (IT)
- IRCCS Policlinico San Donato (IT)
Publication Details
- Journal
- Tremor and Other Hyperkinetic Movements
- Published
- 2025-01-01
- DOI
- https://doi.org/10.5334/tohm.1090
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00