Predictive value of electroencephalogram, event-related potential, and general movements quality assessment in neurodevelopmental outcome of high-risk infants

Abstract

Objective

The objective of the study is to investigate the predictive value of electroencephalogram (EEG), event-related potential (ERP), and general movements (GMs) quality assessment in the neurodevelopmental outcome of high-risk infants at one year old.

Methods

EEG and ERP were performed in high-risk infants at four weeks old, and GMs quality was evaluated once at 4 weeks and once at 12 weeks. The Gesell score was used to assess neurodevelopment outcome at one year old. A comparative analysis of the effects of EEG, GMs, EEG + ERP, and EEG + ERP + GMs was used to predict high-risk neonatal neurodevelopmental outcome.

Results

Of 71 high-risk infants at the age of one year, 3 (4.23%) had cerebral palsy, 14 (19.72%) had psychomotor retardation, and 54 (76.05%) were normal. The sensitivity, specificity, positive predictive value, and negative predictive value of EEG + ERP + GMs method were 90.00%, 95.08%, 75.00%, and 98.31%, respectively, and these indexes were the highest among the four methods (EEG, GMs, EEG + ERP, and EEG + ERP + GMs). The kappa statistic for the reliability of predicting neurodevelopmental outcome of high risk newborns by the EEG + ERP + GMs method was substantial at 0.785, while the other three methods obtained relatively low Kappa values (0.599, 0.586, and 0.712, respectively).

Conclusions

The combination of EEG, ERP, and GMs quality assessment can greatly improve the prediction of neurodevelopmental outcome of high-risk newborns.

Keywords:

• Brain development
• electroencephalogram
• event-related potential
• general movements
• high-risk infant

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was supported by the Applied Basic Research Project of Changzhou (CJ20200038).