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LabScribe EEG Analysis Module

The EEG Analysis Module for LabScribe software allows investigators to look at EEG data using a number of preset standard EEG montages. The alpha, beta, theta and delta frequency distribution is calculated for each electrode combination and displayed graphically within the LabScribe EEG interface.

SKU LS-EEG Category

The LS-EEG Analysis is a standard module for LabScribe software. It allows investigators to look at EEG data using a number of preset standard EEG montages.  The alpha, beta, theta and delta frequency distribution is calculated for each electrode combination and displayed graphically within the LabScribe EEG interface.  Data can be manually analyzed within LabScribe or segments of ERP data parsed for export to a .txt, .csv  EDF or MatLab file format for further analysis.

Features

  • Includes LabScribe’s built-in stimulus presentation/experiment builder software like ePrime, OpenSesame, psychopy etc.
  • Play sound, display images or videos as part of predefined experimental protocols using macros.
  • Export of data in text, EDF or MatLab format allows for post-processing with many EEG analysis programs
  • Easily view data using a variety of preset montages
  • Headview and EEG powerband view for the montages.
  • Calculates and visually displays EEG power in the  alpha, beta, theta, delta bands
  • Calculate custom indices based on EEG power bands to quantify activities, such as Relaxation, Task Engagement etc.
  • Integrates with other stimulus presentation experiment builder software such as OpenSesame

LabScribe EEG manual

LabScribe EEG Analysis

Montages

Use prebuilt standard montages or create your own. 

EEG montages

EEG Power Bands

Display the montage data as raw EEG signal, or in various EEG power bands. 

EEP power bands

EEG Head View

4 Head displays can be used to display :

  • power bands: Alpha, Beta, Theta and Delta
  • Mean Amplitude in 4 time bands
  • Max-Min Amplitude in 4 time slots.

The head view image can be copied so that it can be used in publications.

EEG head View

EEG Power calculations

The powers in the alpha beta, theta and delta bands is calculated for the selection and displayed in the table.

These values can be exported to the journal or a spereadsheet.

EEG power calculations

The analysis capabilities of LabScribe can be extended by using various open source EEG analysis programs such as:

EEGLAB :  EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data.

SleepSMG:  an open source matlab user interface for scoring sleep and comparing sleep scores across individuals.

Citations

Papers about EEG using iWorx systems on Google Scholar

Papers about ERP using iWorx systems on Google Scholar

Posters

Bryant, Corey. The Neurodynamics of Working Memory during a Stress Induced State. Diss. University of Michigan-Dearborn, 2016.

Differential Anterior EEG Brain Activity While Viewing Violent or Neutral Video Clips
Patrick A. Ament, Adam Runyan, Michael J. Omerza, Taylor Rodieck, Amanda Fuller, Darby M. Simon, and Isaac Flint, University of Central Missouri, Department of Psychological Science

EEG: Frontal Pole Asymmetry and Video Game Addiction
Adam Runyan, Michael Omerza, Amanda Fuller, Taylor Rodieck, Darby Simon, Isaac Flint, Teigan Hockman, Patrick Ament
University of Central Missouri, Department of Psychological Science

Insight into the Before and After of Problem Solving using Event Related Potentials Timothy Burnham, Samantha Oeser, Abigail Lamp & Joshua Halonen, Ph.D Dept. of Psychology at Friends University

Videos

Play Video

Design Your System

Choose the parameters you want to Measure

ECG/EKG
EMG : Number of Channels
Invasive BP : Number of Channels
Non-Invasive BP : Number of Channels
Flow : Number of Channels
Temperature: Number of Channels
Force: Number of Channels
Stimulation: Describe the type

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