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A FUNCTIONAL DATA ANALYSIS APPROACH FOR EVALUATING TEMPORAL PHYSIOLOGIC RESPONSES TO PARTICULATE MATTER

As computer technology has advanced in the last ten years, the ability to acquire copious amounts of physiological data has become much easier. Our laboratory regularly uses radiotelemetry methodology in rodents to acquire nonstop heart rate (HR) and core temperature (Tco) data while animals are exposed to exogenous substances, including air pollutants such as ozone and particulate matter. Bradycardia and hypothermia are often observed during and following exposure, although it is difficult to pinpoint the response start time and duration using traditional statistical methods. We have developed an approach for analyzing continuously-derived physiological data using functional data analysis (FDA) and subsequent computational techniques (principal component analysis and the Direction-Projection-Permutation hypothesis test) which permit the comparison of data curves. This approach was employed on HR data collected before and after Spontaneously Hypertensive rats (n=35; 8–9/group) were intratracheally instilled with a bolus dose of saline (control) or residual oil fly ash particles (0.83, 3.33, or 8.33 mg/kg). The statistical analysis demonstrated that effects between the control and high dose group persisted for at least 48 hr. The applicability of FDA to data sets having a greater number of repeated measurements than the sample size was established with our rodent HR data and will clearly be useful for statistical analysis of similar data sets.