Small World derived index to distinguish Alzheimer's type dementia and healthy subjects.
Age Ageing
; 53(6)2024 06 01.
Article
em En
| MEDLINE
| ID: mdl-38935531
ABSTRACT
BACKGROUND:
This article introduces a novel index aimed at uncovering specific brain connectivity patterns associated with Alzheimer's disease (AD), defined according to neuropsychological patterns.METHODS:
Electroencephalographic (EEG) recordings of 370 people, including 170 healthy subjects and 200 mild-AD patients, were acquired in different clinical centres using different acquisition equipment by harmonising acquisition settings. The study employed a new derived Small World (SW) index, SWcomb, that serves as a comprehensive metric designed to integrate the seven SW parameters, computed across the typical EEG frequency bands. The objective is to create a unified index that effectively distinguishes individuals with a neuropsychological pattern compatible with AD from healthy ones.RESULTS:
Results showed that the healthy group exhibited the lowest SWcomb values, while the AD group displayed the highest SWcomb ones.CONCLUSIONS:
These findings suggest that SWcomb index represents an easy-to-perform, low-cost, widely available and non-invasive biomarker for distinguishing between healthy individuals and AD patients.Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Eletroencefalografia
/
Doença de Alzheimer
Limite:
Aged
/
Aged80
/
Female
/
Humans
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Male
/
Middle aged
Idioma:
En
Revista:
Age Ageing
Ano de publicação:
2024
Tipo de documento:
Article
País de afiliação:
Itália