ENGS 88 Honors Thesis (AB Students)

Degree Program

A.B.

Year of Graduation

2021

Faculty Advisor

Dr. Solomon Diamond

Document Type

Thesis (Senior Honors)

Publication Date

Spring 2021

Abstract

This study aimed to analyze a novel method of processing data from electroencephalography (EEG) recordings, which implements time-domain cycle-by-cycle analysis. This "bycycle" method, developed by the Cole & Voytek laboratory, was implemented on a EEG dataset of children with and without Phelan-McDermid Syndrome in the hopes of uncovering network-level explanations for the genetic disorder. A supplemental Python pipeline was developed to organize and visualize the data. This led to the discovery of group-level differences in measures of cycle symmetry in alpha band waves over the sensorimotor electrodes. Through the same pipeline, the bycycle tool was validated as a sound EEG analysis method that may complement Fourier-based analyses.

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