DEVELOPMENT OF RECORDING and ANALYSIS
There are many ways to record EEG, and BABA has actively pioneered several new developments in newborn EEG methodology.
There are many ways to record EEG, and BABA has actively pioneered several new inventions in newborn EEG methodology. Many of BABA's developments are summarized in the multimedia packages that demonstrate different ways to record high-quality EEG (see videos on Nemo and Preterm). The material generated at BABA has become a key educational resource around the world.
We have also developed a multimodal EEG method for studying the preterm brain in the intensive care unit. Most importantly, our new methodology has allowed researchers to study neural pathways during the early development of infants.
BABA-based research has developed several ways to better analyze the EEG signal. For instance, we have
- identified the key EEG signatures of the preterm baby, referred to as spontaneous activity transients (SAT);
- developed several methods of analysis to measure the functional brain connectivity of infants (for instance ASI, event-level phase synchrony, bimodality, PAC/nestedness, phase-phase correlation, and amplitude-amplitude correlation);
- designed and validated a method for measuring vigilance state cycling (also known as brain activity cycling, BAC);
- participated in studies that develop automated metrics for analyzing statistical properties of burst shapes for real-time detection and prognostication
- developed an accurate, objective, automated Estimate of Maturational Age (EMA) for newborn EEG;
- developed an automated detector for epileptic seizures in the newborn EEG,
- developed an automated classifier for sleep state, and an associated sleep state probability index (SSP) for the newborn EEG at all ages, and
- used sleep mattress signal to develop an automated classifier for sleep staging in the infant sleep studies.