Visualizing Brain Synchronization: An Explainable Representation of Phase-Amplitude Coupling

被引：0
作者：
Ortiz, Andres [1 ,2 ]
Gallego-Molina, Nicolas J. [1 ,2 ]
Castillo-Barnes, Diego [1 ,2 ]
Rodriguez-Rodrguez, Ignacio [1 ,2 ]
Gorriz, Juan M. [3 ]
机构：
[1] Univ Malaga, Commun Engn Dept, Malaga 29004, Spain
[2] Andalusian Data Sci & Computat Intelligence Inst, Granada, Spain
[3] Univ Granada, Dept Signal Theory Networking & Commun, Granada, Spain
来源：
ARTIFICIAL INTELLIGENCE FOR NEUROSCIENCE AND EMOTIONAL SYSTEMS, PT I, IWINAC 2024 | 2024年 / 14674卷
关键词：
Cross-Frequency-Coupling; Phase-Amplitude Coupling; Brain connectivity; Dyslexia;
D O I：
10.1007/978-3-031-61140-7_2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the realm of neuroscience, brain activity is often characterized by rhythmic oscillations at different frequency bands. These oscillations underlie various cognitive processes and constitutes the basis of communication between populations of neurons. Cross-frequency coupling (CFC) refers to techniques directed to study the interactions between oscillations at different frequencies, providing a more comprehensive view of neural dynamics than traditional measures of connectivity or based on the distribution of the power spectral density. In this paper, we propose a method to explore CFC local patterns in an explainable way, allowing to visualize them over time and to easily identify functional brain areas activated during a task development from the Phase-Amplitude Coupling (PAC) point of view.
引用
收藏
页码：14 / 23
页数：10
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