The 3rd workshop on EEG signal acquisition and processing was held from 4th to 6th January 2017 in National Brain Mapping Laboratory (NBML) in Tehran

About 50 participants including researchers and  Masters and PhD Students in various related fields was attending the workshop . In the first day of this three day hands-on workshop, participants got familiar with EEG signal acquisition  and processing, ERP and Evoked potential extraction and protocol design  based on gtec (www.gtec.at) software and hardware products.

The detailed agenda was as follows:

 FIRST DAY: BASIC TOPICS AND EEG RECORDING (480 MIN): (Dr. Mohammad Mikaeili )
1)   INTRODUCTION TO ELECTROENCEPHALOGRAPHY (LECTURE: 45 MIN HANDSON:60 MIN)
– Electrode positions
– Types of electrodes
– Impedance measurement
– Bipolar and monopolar recording
2) INTRODUCTION TO EVOKED POTENTIALS AND THEIR RECORDING (LECTURE: 45 MIN HANDSON:60 MIN)
– Stimulation protocols
– Visual Evoked Potentials (VEP)
– Audio Evoked Potentials (AEP)
– Somatosensory Evoked Potentials (SEP)
3) Event Related Potentials (ERP) (lecture: 60 Min HandsOn:60 Min)
– Design and Implementation of stimulation protocols
– Visual stimulation using Microsoft PowerPoint
– Introduction to Cogent Toolbox
– Signal and Stimulation synchronization
– Target and Non-Target Stimulation (Oddball patterns)
4) Introduction to BCI systems (lecture: 60 Min HandsOn:90 Min)
– ERP based BCIs
– ERD,ERS based BCIs
– BCIs Based on Steady State Visual Evoked Potentials (SSVEP)
5) Q&A

 SECOND DAY: BASIC TOPICS FOR PROCESSING (480 MIN): (Dr. Iman Rezazadeh)
1)  PREREQUISITE FOR DATA PROCESSING (180)
– Fourier Transform (40 min)
– Filters (40 min)
– Independent Component Analysis (100 min):
– What is ICA?
– ICA maps and source activations.
– Utilizing ICA for noise removal procedures.
2) WORKING WITH EEGLAB (300 min)
– Loading Data into EEGLAB and data structure in it (60 min)
– Channel Locations, Plotting Channel Spectra and Maps (60 min)
– De-noising and filtration (40 min)
– Extracting Data Epochs (20 min)
– Decomposing Data Using ICA and Working with ICA Components (60 min)
– Artifact detection and rejection using ICA (60 min)
3) Q & A

 THIRD DAY : ADVANCED TOPICS (480 min) (Dr. Ali Motie Nasrabadi)
1) ADVANCED TOPICS (120 min)
– ERP and EEG Dynamics & Time-Frequency Analysis (50 min)
– DIPFIT (40 min):
– Headman Warping
– Source localization and dipole modelling
– Connectivity Analysis: Coherence, Correlation, Phase difference (30min)
2) SIFT source information-flow toolbox (120 min)
– Granger causality analysis (20 min):
– Multivariate Autoregressive (MVAR) Modeling (70 min)
– Connectivity (30 min)
3) WORKING WITH EEGLAB (240 min)
– GENERAL ADVANCED TOPICS (120 min)
– SIFT (120 min)
4) Q & A