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<<HTML(<style>.backtick {font-size: 16px;}</style>)>><<HTML(<style>abbr {font-weight: bold;}</style>)>> <<HTML(<style>em strong {font-weight: normal; font-style: normal; padding: 2px; border-radius: 5px; background-color: #EEE; color: #111;}</style>)>> |
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''Authors: Raymundo Cassani '' | ''Authors: Raymundo Cassani '' |
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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. | |
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This tutorial replicates the processing pipeline and analysis presented in the "Analysis of corticomuscular coherence" tutorial in the FieldTrip documentation. | |
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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. IMAGE 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 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). == 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 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. |
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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. |
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==== Tutorials ==== * Tutorial: [[Tutorials/TutVolSource|Volume source estimation]] |
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==== Forum discussions ==== * Forum: Minimum norm units (pA.m): [[http://neuroimage.usc.edu/forums/showthread.php?1246-Doubt-about-current-density-units-pA.m-or-pA-m2|http://neuroimage.usc.edu/forums/showthread.php?1246]] |
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Describe Tutorials/CorticomuscularCoherence here. | <<HTML(<!-- END-PAGE -->)>> <<EmbedContent(http://neuroimage.usc.edu/bst/get_feedback.php?Tutorials/CorticomuscularCoherence)>> |
MEG corticomuscular coherence
Authors: Raymundo Cassani
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.
Contents
[[|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.
IMAGE
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
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).
== 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
Example of performing citations in text, and .
The imaginary coherence (Nolte et al., 2004), commonly found as: .
Importing anatomy data
1. Create protocol 1.
A title in size 3
A title in size 4
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