Perinatal asphyxia is responsible for the majority of non-progressive neurological deficits in children. Significant effort has gone into understanding the pathophysiology of the disease process and to investigate potential therapies. However, the assessment of the baby's evolving response to neurological injury remains a bedside challenge. Therefore, we embarked on a course to develop the Neonatal Neurological Monitor (N2M) Our Phase I effort focused on developing two quantitative EEG (qEEG) parameters. We evaluated both spectral and temporal algorithms (Normalized Separation, NS and the Teager Energy Operator, TEO respectively). The technology was evaluated in a porcine model of perinatal asphyxia NS and TEO measured at 1 hour post asphyxia were well correlated with the Neuro-Deficit Score (NDS) measured at 24-hours post asphyxia (p < 0 02 for NS and p < 0 05 for TEO). The technology was packaged into a Panel PC with a user-friendly graphical interface and a touch-sensitive screen. We now propose the development of a novel unifying measure of brain injury Volatility Analysis (VA) VA is designed to be responsive to both spectral and temporal changes. Thus, it will provide a singular quantitative description of the electrophysiological sequelae of injury. We will test all three algorithms (NS, TEO, and VA) in a chronic porcine model of graded injury and in a pilot study in the Neonatal Intensive Care Unit with 12-month neurodevelopmental follow-up. It is our long-term goal to develop the N2M as a sophisticated tool to provide continuous feedback to the clinician regarding the baby's evolving response to cortical injury.

Agency
National Institute of Health (NIH)
Institute
Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
2R44HD042872-02A1
Application #
6650935
Study Section
Special Emphasis Panel (ZRG1-BDCN-2 (11))
Program Officer
Raju, Tonse N
Project Start
2004-02-11
Project End
2006-02-10
Budget Start
2004-02-11
Budget End
2005-02-10
Support Year
2
Fiscal Year
2004
Total Cost
$668,363
Indirect Cost
Name
Infinite Biomedical Technologies, LLC
Department
Type
DUNS #
037376022
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Hathi, M; Sherman, D L; Inder, T et al. (2010) Quantitative EEG in babies at risk for hypoxic ischemic encephalopathy after perinatal asphyxia. J Perinatol 30:122-6
Zhang, Dandan; Hathi, Manan; Yang, Zeng-Jin et al. (2009) Hypoxic-ischemic brain injury in neonatal piglets with different histological outcomes: An amplitude-integrated EEG study. Conf Proc IEEE Eng Med Biol Soc 2009:1127-30