Normative data for COGITAB: An Italian tablet-based test battery conceived for the preclinical phase of Alzheimer's disease.

Alzheimer’s disease cognitive screening digital cognitive assessment tool preclinical AD

Journal

Applied neuropsychology. Adult
ISSN: 2327-9109
Titre abrégé: Appl Neuropsychol Adult
Pays: United States
ID NLM: 101584082

Informations de publication

Date de publication:
08 Jun 2023
Historique:
medline: 8 6 2023
pubmed: 8 6 2023
entrez: 8 6 2023
Statut: aheadofprint

Résumé

The number of people with dementia is increasing worldwide. Two main approaches have been adopted to identify subjects with Alzheimer's disease (AD): the neuropsychological evaluation and the identification of biomarkers of AD. The first method is less invasive and easier to perform. This study assesses the psychometric properties of COGITAB, a novel web application d esigned to be sensitive to the subtle cognitive changes distinctive of the early Mild Cognitive Impairment (MCI) and the preclinical phase of AD. We enrolled 518 healthy controls, classified according to several risk factors and the presence of a family history of dementia. The participants were given COGITAB after a neuropsychological screening. The COGITAB Total Score (TS) was significantly affected by age and years of education. Acquired risk factors and family history of dementia significantly impacted only the COGITAB total execution time (TET), not the TS. This study provides normative data for a newly developed web application. Control subjects with acquired risk factors performed slower, giving an important role to the TET recording. Further studies should examine the ability of this new technology to discriminate between healthy subjects and subjects with initial cognitive decline, even when not detected by standard neuropsychological assessments.

Identifiants

pubmed: 37289131
doi: 10.1080/23279095.2023.2219797
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-11

Auteurs

Daniela Beltrami (D)

Clinical Neuropsychology, Cognitive Disorders and Dyslexia Unit, Neurology, Department of Neuro-Motor Diseases, AUSL IRCCS, Reggio Emilia, Italy.

Caterina Barletta-Rodolfi (C)

Clinical Neuropsychology, Cognitive Disorders and Dyslexia Unit, Neurology, Department of Neuro-Motor Diseases, AUSL IRCCS, Reggio Emilia, Italy.

Flavio Bertini (F)

Department of Mathematical, Physical and Computer Sciences, University of Parma, Parma, Italy.

Luca Braglia (L)

Research and Statistics Infrastructure, AUSL - IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Laura Calzà (L)

Interdepartmental Centre for Industrial Research in Health Sciences and Technologies, University of Bologna, Bologna, Italy.
Department of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy.

Massimo Corbo (M)

Department of Neurorehabilitation Sciences, Casa Cura Igea (CCI), Milano, Italy.

Federico Gasparini (F)

Clinical Neuropsychology, Cognitive Disorders and Dyslexia Unit, Neurology, Department of Neuro-Motor Diseases, AUSL IRCCS, Reggio Emilia, Italy.

Alessandro Marti (A)

Clinical Neuropsychology, Cognitive Disorders and Dyslexia Unit, Neurology, Department of Neuro-Motor Diseases, AUSL IRCCS, Reggio Emilia, Italy.

Danilo Montesi (D)

SmartData Research Group, Department of Computer Science and Engineering, University of Bologna, Bologna, Italy.

Marta Pisano (M)

Clinical Neuropsychology, Cognitive Disorders and Dyslexia Unit, Neurology, Department of Neuro-Motor Diseases, AUSL IRCCS, Reggio Emilia, Italy.

Maria Luisa Rusconi (ML)

Department of Human and Social Sciences, University of Bergamo, Bergamo, Italy.

Matteo Sozzi (M)

Department of Neuroscience, Neurology. ASST "A. Manzoni", Lecco, Italy.

Cecilia Tonon (C)

Clinical Neuropsychology, Cognitive Disorders and Dyslexia Unit, Neurology, Department of Neuro-Motor Diseases, AUSL IRCCS, Reggio Emilia, Italy.

Enrico Ghidoni (E)

Clinical Neuropsychology, Cognitive Disorders and Dyslexia Unit, Neurology, Department of Neuro-Motor Diseases, AUSL IRCCS, Reggio Emilia, Italy.

Classifications MeSH