Functional Data Analysis for Rodent Sleep Data

Oregon Convention Center 

As statistical methods for continuous data progress, there remains a need for applying sophisticated statistical techniques to complex behavioral neuroscience datasets. In an experiment studying the impact of Vitamin K deficiency on sleep following changes in dietary Vitamin K, rodent electroencephalography (EEG) and electromyography (EMG) data were collected using implanted wireless physiological telemetry devices and rodent sleep state scoring was performed. While the data collected are continuous, current analysis approaches typically model averages of responses over time using an analysis of variance (ANOVA) or repeated measures ANOVA model. One approach that leverages the original complexity of the data is functional data analysis (FDA). In this talk, we discuss functional data analysis and its fitness for analyzing a longitudinal dataset, as well as its limitations or when traditional models may remain the preferred approach. We will fit a functional model to our neurological dataset and demonstrate the process for selecting appropriate functional mean and variance structures.

Functional Data Analysis

Neuroscience

Longitudinal Data

Rodent Studies 

Section on Statistical Learning and Data Science