TY - GEN
T1 - Network Analysis on Overnight EEG Spectrum to Assess Relationships Between Paediatric Sleep Apnoea and Cognition
AU - Gutiérrez-Tobal, Gonzalo César
AU - Gomez-Pilar, Javier
AU - Kheirandish-Gozal, Leila
AU - Martín-Montero, Adrián
AU - Poza, Jesús
AU - Álvarez, Daniel
AU - del Campo, Félix
AU - Gozal, David
AU - Hornero, Roberto
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - One major risk of paediatric sleep apnoea-hypopnoea syndrome (SAHS) is the development of cognitive impairments among affected children. Electroencephalography (EEG) is ordinarily used as part of polysomnography, the standard diagnostic test for SAHS. However, how SAHS changes overnight EEG, and its relationships with cognitive performance, remains unclear. In this study, we first analyzed the spectral content of EEG recordings from 294 children to explore possible differences caused by SAHS. Then, a correlation network analysis was conducted to evaluate relationships among different EEG spectral bands and the results from the Differential Ability Scales (DAS) battery of cognitive tests. Our analyses identified up to six new SAHS spectral bands of interest in the EEG. They also showed higher absolute correlations among the different spectral bands as SAHS severity increased. Higher SAHS severity degree also indicated higher absolute correlations with DAS tests. Our results suggest that the spectral content of the overnight EEG is useful to characterize both paediatric SAHS and the cognitive performance of the affected children.
AB - One major risk of paediatric sleep apnoea-hypopnoea syndrome (SAHS) is the development of cognitive impairments among affected children. Electroencephalography (EEG) is ordinarily used as part of polysomnography, the standard diagnostic test for SAHS. However, how SAHS changes overnight EEG, and its relationships with cognitive performance, remains unclear. In this study, we first analyzed the spectral content of EEG recordings from 294 children to explore possible differences caused by SAHS. Then, a correlation network analysis was conducted to evaluate relationships among different EEG spectral bands and the results from the Differential Ability Scales (DAS) battery of cognitive tests. Our analyses identified up to six new SAHS spectral bands of interest in the EEG. They also showed higher absolute correlations among the different spectral bands as SAHS severity increased. Higher SAHS severity degree also indicated higher absolute correlations with DAS tests. Our results suggest that the spectral content of the overnight EEG is useful to characterize both paediatric SAHS and the cognitive performance of the affected children.
KW - Correlation networks
KW - EEG
KW - Paediatric sleep apnoea
KW - Spectral analysis
UR - https://www.scopus.com/pages/publications/85075879271
U2 - 10.1007/978-3-030-31635-8_138
DO - 10.1007/978-3-030-31635-8_138
M3 - Conference contribution
AN - SCOPUS:85075879271
SN - 9783030316341
T3 - IFMBE Proceedings
SP - 1138
EP - 1146
BT - 15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019
A2 - Henriques, Jorge
A2 - de Carvalho, Paulo
A2 - Neves, Nuno
PB - Springer
T2 - 15th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2019
Y2 - 26 September 2019 through 28 September 2019
ER -