Decomposed Temporal Complexity Analysis of Neural Oscillations and Machine Learning Applied to Alzheimer’s Disease Diagnosis

Despite growing evidence of aberrant neuronal complexity in Alzheimer’s disease (AD), it remains unclear how this variation arises. Neural oscillations reportedly comprise different functions depending on their own properties. Therefore, in this study, we investigated details of the complexity of ne...

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Detalles Bibliográficos
Autores principales: Furutani, Naoki, Nariya, Yuta, Takahashi, Tetsuya, Noto, Sarah, Yang, Albert C., Hirosawa, Tetsu, Kameya, Masafumi, Minabe, Yoshio, Kikuchi, Mitsuru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495507/
https://www.ncbi.nlm.nih.gov/pubmed/33101073
http://dx.doi.org/10.3389/fpsyt.2020.531801

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495507/
https://www.ncbi.nlm.nih.gov/pubmed/33101073
http://dx.doi.org/10.3389/fpsyt.2020.531801

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