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| [[https://en.wikipedia.org/wiki/Corticomuscular_coherence|Corticomuscular coherence]] relates to the synchrony in the neural activity of brain's cortical areas and muscle. This tutorial replicates the processing pipeline and analysis presented in the "Analysis of corticomuscular coherence" tutorial in the FieldTrip documentation. |
[[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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| [[|Coherence]] is a classic metric to evaluate the synchrony between two signals. Previous studies (xx, and xx) have reported the use of coherence to measure the connectivity between the primary motor acortex and musckles thorough the corticospional pathways. | == Background == [[https://neuroimage.usc.edu/brainstorm/Tutorials/Connectivity#Coherence|Coherence]] is a classic method to measure the linear relationship between two signals in the frequency domain. Previous studies ([[https://dx.doi.org/10.1113%2Fjphysiol.1995.sp021104| Conway et al., 1995]], [[https://doi.org/10.1523/JNEUROSCI.20-23-08838.2000| Kilner et al., 2000]]) have used coherence to study the relationship between MEG signals from M1 and muscles, and they have shown synchronized activity in the 15–30 Hz range during maintained voluntary contractions. Kilkner 2000 |
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| IMAGE | IMAGE OF EXPERIMENT, SIGNALS and COHERENCE |
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| The [[results]] confirm the synchronized activity in the primary motor cortex (measure with MEG), and the motor-unit activity (measured with EMG) in the beta range of frequencies during maintained voluntary contractions | == Dataset description == === License === |
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| Corticomuscular coherence has been of special interest in alpha band (about 10 Hz), in Beta band (15–30 Hz), and in Gamma band (35–60 Hz). | MEG EMG equipment trials duration which ones will be analyzed |
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| == Presentation of the experiment == MEG EMG equipment trials duration which ones will be analyzed == Download and installation == You should have Brainstorm Download data from Fieldtrip FTP |
=== Download and installation === You should have Brainstorm Download data from Fieldtrip FTP |
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| 1. Create protocol 1. |
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 ==== * Conway BA, Halliday DM, Farmer SF, Shahani U, Maas P, Weir AI, et al. <<BR>> [[https://dx.doi.org/10.1113%2Fjphysiol.1995.sp021104|Synchronization between motor cortex and spinal motoneuronal pool during the performance of a maintained motor task in man]]. <<BR>> The Journal of Physiology. 1995 Dec 15;489(3):917–24. * Kilner JM, Baker SN, Salenius S, Hari R, Lemon RN. <<BR>> [[https://doi.org/10.1523/JNEUROSCI.20-23-08838.2000|Human Cortical Muscle Coherence Is Directly Related to Specific Motor Parameters]]. <<BR>> J Neurosci. 2000 Dec 1;20(23):8838–45. * Liu J, Sheng Y, Liu H. <<BR>> [[https://doi.org/10.3389/fnhum.2019.00100Corticomuscular Coherence and Its Applications: A Review]]. Front Hum Neurosci. 2019 Mar 20;13:100. |
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| === A title in size 3 === ==== A title in size 4 ==== == Additional documentation == ==== Articles ==== * '''Minimum norm''': Baillet S, Mosher JC, Leahy RM<<BR>>[[http://neuroimage.usc.edu/paperspdf/BailletMosherLeahy_IEEESPMAG_Nov2001.pdf|Electromagnetic brain mapping]], IEEE SP MAG 2001. |
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 method to measure the linear relationship between two signals in the frequency domain. Previous studies (Conway et al., 1995, Kilner et al., 2000) have used coherence to study the relationship between MEG signals from M1 and muscles, and they have shown 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
Conway BA, Halliday DM, Farmer SF, Shahani U, Maas P, Weir AI, et al.
Synchronization between motor cortex and spinal motoneuronal pool during the performance of a maintained motor task in man.
The Journal of Physiology. 1995 Dec 15;489(3):917–24.Kilner JM, Baker SN, Salenius S, Hari R, Lemon RN.
Human Cortical Muscle Coherence Is Directly Related to Specific Motor Parameters.
J Neurosci. 2000 Dec 1;20(23):8838–45.Liu J, Sheng Y, Liu H.
https://doi.org/10.3389/fnhum.2019.00100Corticomuscular Coherence and Its Applications: A Review. Front Hum Neurosci. 2019 Mar 20;13:100.
Tutorials
Tutorial: Volume source estimation
Forum discussions
Forum: Minimum norm units (pA.m): http://neuroimage.usc.edu/forums/showthread.php?1246