Pierre Karashchuk
1.7 KiB
Lab 4: Neurofeedback
Introduction
In this lab, we will record EEG while trying to remember words, as well as later recognizing these same words among others. Hopefully, we'll be able to see the event related potentials corresponding to remembered vs not-remembered words, and possibly recognized vs not recognized words.
Setup
First, install the libraries:
npm install
pip install -r requirements.txt
(If you don't have npm, you can install by running brew install node. You can get brew from https://brew.sh/)
Stimulus Presentation + Recording
- Attach Ganglion to participant's head.
- Record positions of EEG according to 10-20 system.
- Have participant sit in chair in front of monitor
- Connect to the ganglion and stream data:
node ganglion-lsl.js - Run lsl-viewer to check connections and stream:
python lsl-viewer.py - Run neurofeedback:
python neurofeedback.py
When running neurofeedback.py, it will show a bar representing the ratio of beta (12-20Hz) to theta (4-8Hz) rhythms in all 4 electrodes.
The goal is to increase beta while decreasing theta, which has been shown to improve symptoms of ADHD [1].
You can play around with which frequency bands to use in the ratio for the bar by changing the following two variables in neurofeedback.py:
decrease_fs = [4, 8]
increase_fs = [12, 20]
References [1] Arns, M., de Ridder, S., Strehl, U., Breteler, M., & Coenen, A. (2009). Efficacy of neurofeedback treatment in ADHD: the effects on inattention, impulsivity and hyperactivity: a meta-analysis. Clinical EEG and neuroscience, 40(3), 180-189. (PDF)