Data Visualization: Brain and Sounds

Reethee Madona Antony, Speech-Language-Hearing Sciences
Faculty Advisor: Dr. Brett Martin
NML Award: The Data Analysis and Visualization Award (May 2019)

It is fascinating to look into how language is represented in the brain. The overall purpose of this study is to compare how language is represented in the brain across speakers of different languages and to understand the interaction of noise with linguistic background. I have collected behavioral and electrophysiological data (using electroencephalography [EEG], which simply refers to brain responses or recordings from the brain!) from three different language groups. The behavioral data will be used to understand speech perception, while the EEG data will provide information about speech processing and encoding. The next step is to analyze the data. Data analysis will involve some software packages, so I will need to concurrently acquire skills in those software including DIPFIT and Brainstorm. I also anticipate using EEGLab and ERPLab. All of these are open source software that run on Matlab platform. The objective of this project will be to explore the available software that will facilitate data visualization of brain responses, analyze the collected data using some of these software, perform measurements, and synthesize my findings.