Harmonized-Multinational qEEG norms (HarMNqEEG)

This paper extends frequency domain quantitative electroencephalography (qEEG) methods pursuing higher sensitivity to detect Brain Developmental Disorders. Prior qEEG work lacked integration of cross-spectral information omitting important functional connectivity descriptors. Lack of geographical di...

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Detalhes bibliográficos
Main Authors: Min Li, Ying Wang, Carlos Lopez-Naranjo, Shiang Hu, Ronaldo César García Reyes, Deirel Paz-Linares, Ariosky Areces-Gonzalez, Aini Ismafairus Abd Hamid, Alan C. Evans, Alexander N. Savostyanov, Ana Calzada-Reyes, Arno Villringer, Carlos A. Tobon-Quintero, Daysi Garcia-Agustin, Dezhong Yao, Li Dong, Eduardo Aubert-Vazquez, Faruque Reza, Fuleah Abdul Razzaq, Hazim Omar, Jafri Malin Abdullah, Janina R. Galler, John F. Ochoa-Gomez, Leslie S. Prichep, Lidice Galan-Garcia, Lilia Morales-Chacon, Mitchell J. Valdes-Sosa, Marius Tröndle, Mohd Faizal Mohd Zulkifly, Muhammad Riddha Bin Abdul Rahman, Natalya S. Milakhina, Nicolas Langer, Pavel Rudych, Thomas Koenig, Trinidad A. Virues-Alba, Xu Lei, Maria L. Bringas-Vega, Jorge F. Bosch-Bayard, Pedro Antonio Valdes-Sosa
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2022-08-01
Colecção:NeuroImage
Assuntos:
Quantitative EEG
EEG cross-spectrum
Riemannian geometry
Batch effects
Z-score
Harmonization
Acesso em linha:http://www.sciencedirect.com/science/article/pii/S1053811922003147
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