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Small-World Propensity Reveals the Frequency Specificity of Resting State Networks
IEEE Open Journal of Engineering in Medicine and Biology ( IF 2.7 ) Pub Date : 2020-01-09 , DOI: 10.1109/ojemb.2020.2965323
Riccardo Iandolo 1 , Marianna Semprini 1 , Stefano Buccelli 1, 1 , Federico Barban 1, 2 , Mingqi Zhao 3 , Jessica Samogin 3 , Gaia Bonassi 4 , Laura Avanzino 4, 5 , Dante Mantini 3, 6 , Michela Chiappalone 1
Affiliation  

Small-World Propensity, computed from functional connectivity weighted networks estimated from high-density electroencephalography, captures the frequency-specific signatures of the brain at rest.

中文翻译:


小世界倾向揭示了静息状态网络的频率特异性



小世界倾向是根据高密度脑电图估计的功能连接加权网络计算得出的,可捕获休息时大脑的特定频率特征。
更新日期:2020-01-09
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