# Essential Motor Cortex Signal Processing: an ERP and functional connectivity MATLAB toolbox -- user guide version 2.0

## TL;DR

This paper introduces version 2.0 of a MATLAB toolbox designed for comprehensive analysis of motor cortex signals, including ERP estimation, functional connectivity, and EMG quantification, aiding neuroscience research.

## Contribution

It provides a free, open-source MATLAB toolbox implementing methods for ERP, cortical connectivity, and EMG analysis tailored for motor cortex studies.

## Key findings

- Includes tools for ERP extraction and analysis.
- Provides functions for cortical connectivity measurement.
- Supports EMG quantification during motor tasks.

## Abstract

The purpose of this document is to help individuals use the "Essential Motor Cortex Signal Processing MATLAB Toolbox". The toolbox implements various methods for three major aspects of investigating human motor cortex from Neuroscience view point: (1) ERP estimation and quantification, (2) Cortical Functional Connectivity analysis and (3) EMG quantification. The toolbox -- which is distributed under the terms of the GNU GENERAL PUBLIC LICENSE as a set of MATLAB R routines -- can be downloaded directly at the address: http://oset.ir/category.php?dir=Tools or from the public repository on GitHub, at address below: https://github.com/EsiSeraj/ERP Connectivity EMG Analysis The purpose of this toolbox is threefold: 1. Extract the event-related-potential (ERP) from preprocessed cerebral signals (i.e. EEG, MEG, etc.), identify and then quantify the event-related synchronization/desynchronization (ERS/ERD) events. Both time-course dynamics and time-frequency (TF) analyzes are included. 2. Measure, quantify and demonstrate the cortical functional connectivity (CFC) across scalp electrodes. These set of functions can also be applied to various types of cerebral signals (i.e. electric and magnetic). 3. Quantify electromyogram (EMG) recorded from active muscles during performing motor tasks.