Digital twins support cross-modal and cross-centric classification of mild cognitive impairment
Digital biomarkers generalize across recording techniques and datasets, enabling a cross-modal and cross-center classification of a patient's condition. These biomarkers offer a robust measure of patient-specific neurodegeneration, mapping neural recordings anomalies into a common framework of underlying structural alterations. The vast differences between the two datasets support the applicability of this approach also in the presence of high inter-center variability.
Authors
- Antonello Grippo (ORCID: https://orcid.org/0000-0002-9997-8564)
- Alberto Mazzoni (ORCID: https://orcid.org/0000-0002-9632-1831)
- Roberta Minino (ORCID: https://orcid.org/0000-0002-8416-0807)
- Michael Lassi (ORCID: https://orcid.org/0000-0002-8805-0293)
- Lorenzo Gaetano Amato
- Valentina Bessi
- Emahnuel Troisi Lopez
- Pierpaolo Sorrentino
- Valentina Moschini
- Giulia Giacomucci
- Giuseppe Sorrentino
Institutions
- University of Sassari (IT)
- Scuola Superiore Sant'Anna (IT)
- Parthenope University of Naples (IT)
- Aix-Marseille Université (FR)
- Istituti Clinici Scientifici Maugeri (IT)
- Institute of Applied Science and Intelligent Systems (IT)
- Institut de Neurosciences des Systèmes (FR)
- Azienda Ospedaliero-Universitaria Careggi (IT)
- Center for Micro-BioRobotics (IT)
- Pegaso University (IT)
- National Research Council (IT)
Publication Details
- Journal
- Communications Medicine
- Published
- 2026-01-15
- DOI
- https://doi.org/10.1038/s43856-025-01281-z
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Università degli Studi di Napoli Federico II
- Aix-Marseille Université
- Institut de Neurosciences des Systèmes
- European Commission
- Università degli Studi di Sassari
- Regione Toscana