Abstract
Background
The electrical activity of the brain is sensitive to oxygen availability. However, no studies have yet reported on the brain electrical activity of newborns in plateau and plain regions.
Methods
Neonates were admitted to the Department of Neonatology at Kunming Children’s Hospital and Fudan University Children’s Hospital, where they underwent EEG monitoring (P3/P4/F3/F4) from January 2020 to December 2022. The inclusion criteria were as follows: absence of neurological symptoms and signs, no infection during hospitalization, no abnormal waveform and obvious pseudo-error of EEG, and the corrected gestational age ≥35 weeks at EEG monitoring. A total of 136 cases were recruited, with equal representation from both the plateau group (Kunming group, KM group) and the plain group (Fudan group, FD group) at the respective institutions. Each patient had one EEG monitoring recording, each with 410 quantitative electroencephalogram (qEEG) signal features extracted. Besides, demographic information (sex, birthweight, corrected gestational age) were included in the regression analysis for the sample group. qEEG signal features were used to predict corrected gestational age by Gradient Boosting Machine in each sample group.
Results
Twenty signal features in the KM group exhibited higher values compared to those in the FD group, whereas ten signal features were lower (p < 0.05) corrected by demographic information. Higher signal features tend to occur in individuals with less corrected GA (Pearson correlation coefficient −0.32, p value = 6.63e−11). The prediction model for the plains (FD model) demonstrated a coefficient of determination (R²) of 0.72 in FD group but reduced performance R² of 0.47 in KM group. Similarly, the plateau model (KM model) showed performance R² of 0.6 in KM group but 0.37 in FD group.
Conclusion
The results indicate that brain maturity in newborns from plateau regions may lag behind that of their peers from plain regions. Therefore, the brain maturity prediction model based on qEEG needs to be re-generated for different altitudes.
Impact
-
We first explored the healthy neonatal brain development from the moderate altitude and evaluated the differences of neonatal brain development between plateau and plain areas by quantitative electroencephalogram (qEEG) signals.
-
We found the brain maturity in newborns from plateau regions may lag behind that of their peers from plain regions.
-
The brain maturity prediction model based on qEEG needs to be re-generated for different altitudes.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 14 print issues and online access
$259.00 per year
only $18.50 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout





Similar content being viewed by others
Data availability
The data that support the findings of this study are available from the first author, upon reasonable request.
References
Tremblay, J. C. & Ainslie, P. N. Global and country-level estimates of human population at high altitude. Proc. Natl. Acad. Sci. USA 118, e2102463118 (2021).
Li, Y. et al. Oxygen saturation ranges for healthy newborns within 2 h at altitudes between 847 and 4,360 m: a prospective cohort study. Neonatology 120, 111–117 (2023).
Brown, E. R. & Giussani, D. A. Cause of fetal growth restriction during high-altitude pregnancy. iScience 27, 109702 (2024).
Shao, X. M. High altitude exposure during pregnancy enhances the vulnerability of fetal heart dysfunction to ischemic stress: epigenetic mechanisms. Int. J. Cardiol. 274, 59–60 (2019).
Grissom, C. K. & Jones, B. E. Respiratory health benefits and risks of living at moderate altitude. High. Alt. Med. Biol. 19, 109–115 (2018).
Hwang, J. et al. Cerebral bioenergetic differences measured by phosphorus-31 magnetic resonance spectroscopy between bipolar disorder and healthy subjects living in two different regions suggesting possible effects of altitude. Psychiatry Clin. Neurosci. 73, 581–589 (2019).
Luo, Q. et al. Effects of long-term exposure to high altitude on brain structure in healthy people: an MRI-based systematic review and meta-analysis. Front. Psychiatry 14, 1196113 (2023).
Crocker, M. E. et al. Effects of high altitude on respiratory rate and oxygen saturation reference values in healthy infants and children younger than 2 years in four countries: a cross-sectional study. Lancet Glob. Health 8, e362–e373 (2020).
Burtscher, M., Millet, G. P., Klimont, J. & Burtscher, J. Differences in the prevalence of physical activity and cardiovascular risk factors between people living at low (<1001 m) compared to moderate (1001-2000 m) altitude. AIMS Public Health 8, 624–635 (2021).
Zhang, X. & Zhang, J. The human brain in a high altitude natural environment: a review. Front. Hum. Neurosci. 16, 915995 (2022).
Kious, B. M. et al. Altitude and risk of depression and anxiety: findings from the intern health study. Int. Rev. Psychiatry 31, 637–645 (2019).
Aboouf, M. A., Thiersch, M., Soliz, J., Gassmann, M. & Schneider Gasser, E. M. The brain at high altitude: from molecular signaling to cognitive performance. Int. J. Mol. Sci. 24, 10179 (2023).
Koester-Hegmann, C. et al. High-altitude cognitive impairment is prevented by enriched environment including exercise via VEGF signaling. Front. Cell Neurosci. 12, 532 (2018).
Li, Y. & Wang, Y. Effects of long-term exposure to high altitude hypoxia on cognitive function and its mechanism: a narrative review. Brain Sci. 12, 808 (2022).
Xu, Y. & Fan, Q. Relationship between chronic hypoxia and seizure susceptibility. CNS Neurosci. Ther. 28, 1689–1705 (2022).
Zhao, J. P., Zhang, R., Yu, Q. & Zhang, J. X. Characteristics of EEG activity during high altitude hypoxia and lowland reoxygenation. Brain Res. 1648, 243–249 (2016).
Hoiland, R. L., Howe, C. A., Coombs, G. B. & Ainslie, P. N. Ventilatory and cerebrovascular regulation and integration at high-altitude. Clin. Auton. Res. 28, 423–435 (2018).
Das, Y. et al. Neurovascular coupling (NVC) in newborns using processed EEG versus amplitude-EEG. Sci. Rep. 11, 9426 (2021).
Zakaria, L., Desowska, A., Berde, C. B. & Cornelissen, L. Electroencephalographic delta and alpha oscillations reveal phase-amplitude coupling in paediatric patients undergoing sevoflurane-based general anaesthesia. Br. J. Anaesth. 130, 595–602 (2023).
Yuan, I. et al. Quantitative electroencephalogram in term neonates under different sleep states. J. Clin. Monit. Comput. 38, 591–602 (2024).
Catenaccio, E. et al. Evaluating injury severity in neonatal encephalopathy using automated quantitative electroencephalography analysis: a pilot study. Dev. Neurosci. 46, 136–144 (2024).
Roychaudhuri, S., Hannon, K., Sunwoo, J., Garvey, A. A. & El-Dib, M. Quantitative EEG and prediction of outcome in neonatal encephalopathy: a review. Pediatr. Res. 96, 73–80 (2024).
Sansevere, A. J., Hahn, C. D. & Abend, N. S. Conventional and quantitative EEG in status epilepticus. Seizure 68, 38–45 (2019).
Castro Conde, J. R. et al. Assessment of neonatal EEG background and neurodevelopment in full-term small for their gestational age infants. Pediatr. Res. 88, 91–99 (2020).
Guyer, C. et al. Brain maturation in the first 3 months of life, measured by electroencephalogram: a comparison between preterm and term-born infants. Clin. Neurophysiol. 130, 1859–1868 (2019).
Kabdebon, C. et al. Anatomical correlations of the international 10-20 sensor placement system in infants. Neuroimage 99, 342–356 (2014).
Dong, X. et al. Development and validation of Auto-Neo-electroencephalography (EEG) to estimate brain age and predict report conclusion for electroencephalography monitoring data in neonatal intensive care units. Ann. Transl. Med. 9, 1290 (2021).
Variane, G. F. T. et al. Newborns at high risk for brain injury: the role of the amplitude-integrated electroencephalography. J. Pediatr.98, 565–571 (2022).
Zhang, R. et al. Quantitative electroencephalography in term neonates during the early postnatal period across various sleep states. Nat. Sci. Sleep. 16, 1011–1025 (2024).
Bai, L. et al. Effect of blood glucose on quantitative electroencephalography parameters in preterm infants. Zhongguo Dang Dai Er Ke Za Zhi 22, 1066–1072 (2020).
Stevenson, N. J., Lai, M. M., Starkman, H. E., Colditz, P. B. & Wixey, J. A. Electroencephalographic studies in growth-restricted and small-for-gestational-age neonates. Pediatr. Res. 92, 1527–1534 (2022).
Castro Conde, J. R. et al. Visual and quantitative electroencephalographic analysis in healthy term neonates within the first six hours and the third day of life. Pediatr. Neurol. 77, 54–60.e51 (2017).
Shellhaas, R. A., Burns, J. W., Barks, J. D. & Chervin, R. D. Quantitative sleep stage analyses as a window to neonatal neurologic function. Neurology 82, 390–395 (2014).
Zhang, Q., Cheng, Q., Li, H., Dong, X. & Tu, W. Correction: Evaluation of auditory perception development in neonates by quantitative electroencephalography and auditory event-related potentials. PLoS ONE 17, e0263361 (2022).
Li, J. et al. Characteristics of neonatal hypoxic-ischemic encephalopathy at high altitude and early results of therapeutic hypothermia. BMC Pediatr. 23, 609 (2023).
Glass, H. C. et al. Seizures and magnetic resonance imaging-detected brain injury in newborns cooled for hypoxic-ischemic encephalopathy. J. Pediatr. 159, 731–735.e1 (2011).
Shah, D. K. et al. Electrographic seizures are associated with brain injury in newborns undergoing therapeutic hypothermia. Arch. Dis. Child Fetal Neonatal Ed. 99, F219–F224 (2014).
Acknowledgements
We would like to thank all colleagues contribution for the manuscript.
Funding
This study is funded by a grant from the National Key Research and Development Program of China (No. 2024YFC2707700), Zhou Wenhao Expert Workstation in Yunnan Province (No. 2019IC052), Three-year action plan for strengthening the construction of the public health system in Shanghai (GWVI-11.2-YQ22) and 2023 Young Clinical Full-time Research Team of Shanghai Medical College, Fudan University. The funding organizations played a role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Author information
Authors and Affiliations
Contributions
Xiaofen Zhao drafted the manuscript, Bi Ze and Jiaqi Li revised the manuscript. Linbo Huang, Xi Tan, Mifeng Yang, and Yangfang Li collected data, and analyzed the data for the work. Xinran Dong analyzed and visualized the data and Wenhao Zhou designed the study and critically reviewed the manuscript.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Ethical approval
This study was approved by the Ethics Committee of Kunming children’s hospital (IEC-C-008-A07-V3.0). Written informed consent was obtained from the legal guardians of the neonates.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhao, X., Ze, B., Li, J. et al. Newborn brain development comparison of plateau and plain regions: insights from quantitative EEG. Pediatr Res 99, 1077–1084 (2026). https://doi.org/10.1038/s41390-025-04220-9
Received:
Revised:
Accepted:
Published:
Version of record:
Issue date:
DOI: https://doi.org/10.1038/s41390-025-04220-9


