ENGS 88 Honors Thesis (AB Students)
Title
APPLICATION OF CYCLE-BY-CYCLE ANALYSIS TO EEG DATA FROM INDIVIDUALS WITH PHELAN-MCDERMID SYNDROME
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.
Dartmouth Digital Commons Citation
Miller, Naomi, "APPLICATION OF CYCLE-BY-CYCLE ANALYSIS TO EEG DATA FROM INDIVIDUALS WITH PHELAN-MCDERMID SYNDROME" (2021). ENGS 88 Honors Thesis (AB Students). 31.
https://digitalcommons.dartmouth.edu/engs88/31