Quantitative EEG features for the prediction of short-term neuromotor development outcome in premature neonates
Abstract The objective of this study was to identify relevant quantitative parameters to distinguish premature infants with presence of brain injury from conventional electroencephalography (EEG) and predict short-term neuromotor developmental outcomes. This is a prospective cohort study of newborns...
Saved in:
| Main Authors: | Yuanyuan Shan, Lin Zhang, Peng Zhang, Yan Xu, Jun Wang, Mingshu Yang, Guoqiang Cheng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-10127-6 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Quantitative EEG in the neonatal intensive care unit: Current application and future promise
by: Jennifer C. Keene, et al.
Published: (2023-12-01) -
Overview of mathematical EEG analysis. Quantitative EEG
by: А. А. Ivanov
Published: (2023-07-01) -
Value of General Movements Assessment in Predicting Neuromotor Development Outcomes in Neonates with Neonatal Respiratory Distress Syndrome: A Prospective Cohort Study
by: Hainan Wang, et al.
Published: (2023-07-01) -
Quantitative Electroencephalography Monitoring in Type A Aortic Dissection Surgery: A Clinical Case Review and Prospective Applications
by: Ya‐Peng Wang, et al.
Published: (2024-10-01) -
ABCD microstates: a new word in EEG mathematical analysis
by: A. A. Ivanov
Published: (2025-07-01)