Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

This is the first AI study to predict cognitive trajectories of AD patients using routinely collected clinical data, while at the same time providing explainability of factors contributing to these trajectories. Also, our study used the results of single cognitive tests as a measure of specific cognitive functions allowing for a finer-grained analysis of risk factors with respect to the other studies that have principally used aggregated scores obtained by short neuropsychological batteries. The outcomes of this work can aid prognostic interpretation of the clinical and cognitive variables associated with the initial phase of the disease towards personalized therapies.

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Publication Details

Journal
Frontiers in Aging Neuroscience
Published
2025-05-27
DOI
https://doi.org/10.3389/fnagi.2025.1565006
Citations
1
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
1.47
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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

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Neuropsychological and clinical variables associated with cognitive trajectories in patients with Alzheimer's disease

Venet Osmani, Marianna Riello, Sara Garbarino, Bruno Giometto, Antonio Uccelli, Monica Moroni, Raffaella Di Giacopo, Stefano Bovo, Lorenzo Gios, Manuela Buganza, Flavio Ragni, Federico Massa, Marco Chierici, Matteo Pardini, Cristina Campi, Manuela Marenco, Monica Dallabona, Michele Piana, Giuseppe Jurman, Elisa Vanzetta
article en
1 citations

Abstract

This is the first AI study to predict cognitive trajectories of AD patients using routinely collected clinical data, while at the same time providing explainability of factors contributing to these trajectories. Also, our study used the results of single cognitive tests as a measure of specific cognitive functions allowing for a finer-grained analysis of risk factors with respect to the other studies that have principally used aggregated scores obtained by short neuropsychological batteries. The outcomes of this work can aid prognostic interpretation of the clinical and cognitive variables associated with the initial phase of the disease towards personalized therapies.

Frontiers in Aging NeuroscienceVol. 17
University of Trento (IT), Fondazione Bruno Kessler (IT), Provincia Autonoma di Trento (IT), Ospedale Policlinico San Martino (IT), Trentino Network (Italy) (IT), University of Genoa (IT)
Openalex Percentile: Top 19%
Dementia and Cognitive Impairment Research
1.47
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