Machine learning approach for early onset dementia neurobiomarker using EEG network topology features.

ABSTRACT:

Introduction

Modern neurotechnology research employing state-of-the-art machine learning algorithms within the so-called "AI for social good" domain contributes to improving the well-being of individuals with a disability. Using digital health technologies, home-based self-diagnostics, or cognitive decline managing approaches with neuro-biomarker feedback may be helpful for older adults to remain independent and improve their wellbeing. We report research results on early-onset dementia neuro-biomarkers to scrutinize cognitive-behavioral intervention management and digital non-pharmacological therapies.

Methods

We present an empirical task in the EEG-based passive brain-computer interface application framework to assess working memory decline for forecasting a mild cognitive

SUBMITTER: Rutkowski TM 

PROVIDER: S-EPMC10311997 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature