Toward the Identification of Neurophysiological Biomarkers for Alzheimer’s Disease in Down Syndrome: A Potential Role for Cross-Frequency Phase-Amplitude Coupling Analysis-Reference-Cited by-同舟云学术

Toward the Identification of Neurophysiological Biomarkers for Alzheimer’s Disease in Down Syndrome: A Potential Role for Cross-Frequency Phase-Amplitude Coupling Analysis

Published:2022 Issue: Volume: Page:0
ISSN:2152-5250
Container-title:Aging and disease
language:en
Short-container-title:Aging and disease

Author:

Victorino Daniella B.,Faber Jean,Pinheiro Daniel J. L. L.,Scorza Fulvio A.,Almeida Antônio C. G.,Costa Alberto C. S.,Scorza Carla A.

Publisher

Aging and Disease

Subject

Cell Biology,Neurology (clinical),Geriatrics and Gerontology,Pathology and Forensic Medicine

Link

http://www.aginganddisease.org/fileup/2152-5250/PDF/1663286452842-960509606.pdf

Reference245 articles.

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3. Zhang W, Guo L, Liu D, Xu G (2020). The dynamic properties of a brain network during working memory based on the algorithm of cross-frequency coupling. Cogn Neurodyn, 14:215-228.

4. Hyafil A, Giraud AL, Fontolan L, Gutkin B (2015). Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. Trends Neurosci, 38:725-740.

5. Canolty RT, Knight RT (2010). The functional role of cross-frequency coupling. Trends Cogn Sci, 14:506-515.

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1. Comparison of power spectra from overnight electroencephalography between patients with Down syndrome and matched control subjects;Journal of Sleep Research;2024-02-27

2. Automated Alzheimer’s Disease Diagnosis Using Norm Features Extracted from EEG Signals;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06