Complexity analysis of EEG, MEG, and fMRI in mild cognitive impairment and Alzheimer's disease: a review
J Sun, B Wang, Y Niu, Y Tan, C Fan, N Zhang, J Xue… - Entropy, 2020 - mdpi.com
Alzheimer's disease (AD) is a degenerative brain disease with a high and irreversible
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …
incidence. In recent years, because brain signals have complex nonlinear dynamics, there …
Physiological complexity of EEG as a proxy for dementia risk prediction: a review and preliminary cross-section analysis
MČ Radenković, S Annaheim, P Eggenberger… - arXiv preprint arXiv …, 2023 - arxiv.org
The aim of this work is to give the readers a review (perspective) of prior work on this kind of
complexity-based detection from resting-state EEG and present our preliminary cross …
complexity-based detection from resting-state EEG and present our preliminary cross …
possible scalable solution for Early detection of prodromal phase of dementia based on EEG complexity
Mild cognitive impairment (MCI) is recognized as a predementia stage and important risk
factor for Alzheimer's disease (AD). The electroencephaloram (EEG) signal reflects activity of …
factor for Alzheimer's disease (AD). The electroencephaloram (EEG) signal reflects activity of …