KBB Resting‐state EEG - LeoLedesma237/LeoWebsite GitHub Wiki

Resting-state EEG (rsEEG) is obtaining brain electrical activity from subjects while they are at 'rest.' This term can be used to describe various circumstances but what they all have in common is a lack of stimulus presentation. Once this data is collected, different techniques can be used to transform the electrical activity from the time domain into the power domain. For example, I will most likely be using fast Fourier transform to do these. The outcome would be a spectrum of power across different frequencies (Hz). It is common in this type of EEG research to group frequencies into frequency bands and report brain power based on the frequency band of interest. For example, power can be reported for Delta, Theta, Alpha, Beta, and Gamma. Additionally, researchers like to compare the power of different frequency bands between groups (ex: controls vs ADHD) or within the same subject after an intervention (T1 vs T2).

For our purposes, we will be administering rsEEG in our sample of children with/and without developmental disabilities (DD). The reasoning for this in accordance with the grant is that "resting state EEG is associated with IQ and can detect epileptiform activity." rsEEG will be administered to everyone in our sample (3-18 years-old).

We will collect two resting-state EEG recordings. The first will be eyes closed (3 minutes) followed by another recording with eyes open (3 minutes). The eyes open recording will be helped by watching part of a video created by Tamara Vanderwal and Tobias S. Hoffmann in Yale University. It is called Inscapes.