Cargando…
Systematic Review on Resting-State EEG for Alzheimer's Disease Diagnosis and Progression Assessment
Alzheimer's disease (AD) is a neurodegenerative disorder that accounts for nearly 70% of the more than 46 million dementia cases estimated worldwide. Although there is no cure for AD, early diagnosis and an accurate characterization of the disease progression can improve the quality of life of...
Autores principales: | Cassani, Raymundo, Estarellas, Mar, San-Martin, Rodrigo, Fraga, Francisco J., Falk, Tiago H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6200063/ https://www.ncbi.nlm.nih.gov/pubmed/30405860 http://dx.doi.org/10.1155/2018/5174815 |
Ejemplares similares
-
Multimodal Prediction of Alzheimer's Disease Severity Level Based on Resting-State EEG and Structural MRI
por: Jesus, Belmir, et al.
Publicado: (2021) -
Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning-Based Alzheimer's Disease Diagnosis
por: Lopes, Marilia, et al.
Publicado: (2023) -
The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer's disease diagnosis
por: Cassani, Raymundo, et al.
Publicado: (2014) -
Characterizing Alzheimer’s Disease Severity via Resting-Awake EEG Amplitude Modulation Analysis
por: Fraga, Francisco J., et al.
Publicado: (2013) -
Multimodal resting-state connectivity predicts affective neurofeedback performance
por: Trambaiolli, Lucas R., et al.
Publicado: (2022)