Optimizing Detection Rate and Characterization of Subtle Paroxysmal Neonatal Abnormal Facial Movements with...

Area of Science:

• Neonatal neurology
• Clinical neurophysiology
• Medical imaging

Background:

• Polygraphic video-electroencephalogram (vEEG) is the gold standard for neonatal brain monitoring, particularly for suspected seizures.
• Current practice often uses a single camera synchronized with EEG.
• Paroxysmal abnormal facial movements can be indicators of underlying neurological events in newborns.

Purpose of the Study:

• To compare the diagnostic accuracy of single-camera versus multi-camera vEEG in detecting paroxysmal abnormal facial movements in newborns.
• To evaluate the impact of an additional facial camera on vEEG interpretation.

Main Methods:

• Retrospective analysis of 147 vEEG recordings from 87 newborns (June 2012 - September 2014).
• Comparison of diagnostic findings between a standard one-camera setup and a multi-camera setup including a dedicated facial camera.
• Identification and quantification of paroxysmal facial abnormal movements.

Main Results:

• The multi-camera approach identified 73 episodes of paroxysmal facial abnormal movements in 18 vEEGs (11 newborns).
• Only 28.8% of these events were detected using the single-camera approach.
• Ten vEEGs initially positive with multi-camera, showing 52 abnormal movements, would have been classified as negative with the single-camera approach.

Conclusions:

• The addition of a dedicated facial camera significantly enhances the diagnostic accuracy of vEEG.
• Multi-camera vEEG improves the detection rate of paroxysmal abnormal facial movements in high-risk newborns.
• This improved detection may lead to more timely and accurate diagnosis of neonatal seizures.