Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learning

Autor: Puskar Bhattarai, Ahmed Taha, Bhavin Soni, Deepa S. Thakuri, Erin Ritter, Ganesh B. Chand
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Brain Informatics, Vol 10, Iss 1, Pp 1-14 (2023)
Druh dokumentu: article
ISSN: 2198-4018
2198-4026
DOI: 10.1186/s40708-023-00213-8
Popis: Abstract Mild cognitive impairment (MCI) is a transitional stage between normal aging and early Alzheimer’s disease (AD). The presence of extracellular amyloid-beta (Aβ) in Braak regions suggests a connection with cognitive dysfunction in MCI/AD. Investigating the multivariate predictive relationships between regional Aβ biomarkers and cognitive function can aid in the early detection and prevention of AD. We introduced machine learning approaches to estimate cognitive dysfunction from regional Aβ biomarkers and identify the Aβ-related dominant brain regions involved with cognitive impairment. We employed Aβ biomarkers and cognitive measurements from the same individuals to train support vector regression (SVR) and artificial neural network (ANN) models and predict cognitive performance solely based on Aβ biomarkers on the test set. To identify Aβ-related dominant brain regions involved in cognitive prediction, we built the local interpretable model-agnostic explanations (LIME) model. We found elevated Aβ in MCI compared to controls and a stronger correlation between Aβ and cognition, particularly in Braak stages III–IV and V–VII (p
Databáze: Directory of Open Access Journals
Externí odkaz: