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| [[https://en.wikipedia.org/wiki/Corticomuscular_coherence|Corticomuscular coherence]] relates to the synchrony between electrophisiological signals (MEG, EEG or ECoG) recorded from the contralateral motor cortex, and EMG signal from a muscle during voluntary movement. This synchrony has its origin mainly in the descending communication in corticospinal pathways between primary motor cortex (M1) and muscles. This tutorial replicates the processing pipeline and analysis presented in the [[https://www.fieldtriptoolbox.org/tutorial/coherence/|Analysis of corticomuscular coherence]] FieldTrip tutorial. |
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| Describe Tutorials/CorticomuscularCoherence here. | == Background == [[Link-tocnx-tutorial|Coherence]] is a classic metric to evaluate the synchrony between two signals. Previous studies (conway 1995, review: https://www.frontiersin.org/articles/10.3389/fnhum.2019.00100/full) have reported the use of coherence to study the connectivity between the primary motor cortex and muscles. The results of such studies, show synchronized activity in the 15–30 Hz range during maintained voluntary contractions. Kilkner 2000 |
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| IMAGE OF EXPERIMENT, SIGNALS and COHERENCE | |
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| == Dataset description == === License === MEG EMG equipment trials duration which ones will be analyzed === Download and installation === You should have Brainstorm Download data from Fieldtrip FTP Example of performing citations in text, and <<latex(\LaTeX)>>. The '''imaginary coherence''' ([[https://doi.org/10.1016/j.clinph.2004.04.029|Nolte et al., 2004]]), commonly found as: <<latex($IC_{xy}(f)$)>>. == Importing anatomy data == 1. Create protocol 1. == Access the recordings == 1. How to link the MEG recordings == Handle events == Fusion all the left events == Pre-process recordings == Removing artifacts == Importing the recordings == === Epoching === == Source analysis == == Coherence == === Sensor level === === Source level === == Script == This should be label as advanced. |
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MEG corticomuscular coherence
Authors: Raymundo Cassani
Corticomuscular coherence relates to the synchrony between electrophisiological signals (MEG, EEG or ECoG) recorded from the contralateral motor cortex, and EMG signal from a muscle during voluntary movement. This synchrony has its origin mainly in the descending communication in corticospinal pathways between primary motor cortex (M1) and muscles. This tutorial replicates the processing pipeline and analysis presented in the Analysis of corticomuscular coherence FieldTrip tutorial.
Contents
== Background == ?Coherence is a classic metric to evaluate the synchrony between two signals. Previous studies (conway 1995, review: https://www.frontiersin.org/articles/10.3389/fnhum.2019.00100/full) have reported the use of coherence to study the connectivity between the primary motor cortex and muscles. The results of such studies, show synchronized activity in the 15–30 Hz range during maintained voluntary contractions. Kilkner 2000
IMAGE OF EXPERIMENT, SIGNALS and COHERENCE
Dataset description
=== License ===
MEG EMG equipment trials duration which ones will be analyzed
Download and installation
You should have Brainstorm Download data from Fieldtrip FTP
Example of performing citations in text, and 
.
The imaginary coherence (Nolte et al., 2004), commonly found as: 
.
Importing anatomy data
1. Create protocol 1.
Access the recordings
1. How to link the MEG recordings
Handle events
Fusion all the left events
Pre-process recordings
Removing artifacts
Importing the recordings
Epoching
Source analysis
Coherence
Sensor level
Source level
Script
This should be label as advanced.
Additional documentation
Articles
Minimum norm: Baillet S, Mosher JC, Leahy RM
Electromagnetic brain mapping, IEEE SP MAG 2001.
Tutorials
Tutorial: Volume source estimation
Forum discussions
Forum: Minimum norm units (pA.m): http://neuroimage.usc.edu/forums/showthread.php?1246