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. NAS: x=128, y=225, z=135 LPA: x=54, y=115, z=107 RPA: x=204, y=115, z=99 AC: x=133, y=137, z=152 PC: x=132, y=108, z=150 IH: x=133, y=163, z=196 (anywhere on the midsagittal plane) | . NAS: x=128, y=225, z=135 . LPA: x=54, y=115, z=107 . RPA: x=204, y=115, z=99 . AC: x=133, y=137, z=152 . PC: x=132, y=108, z=150 . IH: x=133, y=163, z=196 (anywhere on the midsagittal plane) |
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Phase-amplitude coupling
This tutorial introduces the concept of phase-amplitude coupling (PAC) and the metrics used in Brainstorm to estimate it. Those tools are illustrated on three types of data: simulated recordings, rat intra-cranial recordings and MEG signals.
Phase-amplitude coupling
Illustrated introduction and mathematical background.
Simulated recordings
Step-by-step instructions with as many screen captures as possible: generation and analysis of the signals.
Rat recordings
How to download the data.
Step-by-step instructions to analyze the recordings.
MEG recordings
Step-by-step instructions to analyze the wMNE source signals for Phase Amplitude Coupling.
In order to do this part of the tutorial you will need to get the file sample_resting.zip from the Download page.
Preparation of the anatomy, basic pre-processing and source modeling will be only mentioned briefly and will be similar to the continuous recordings tutorials found here: Continuous Recordings Tutorial
Step 1: Pre-processing
The first steps of include importing the anatomy and the functional data and projecting the sources. If you unsure how to do this the detailed steps can be found in the Continuous Recordings tutorial or within the tutorials for the '12 Easy steps for Brainstorm', all of which are available from this page: Tutorials
Anatomy
- Import the freesurfer anatomy folder and define the fiducial points.
- The MRI coordinates for this dataset should be (+/- a few millimeters):
- NAS: x=128, y=225, z=135
- LPA: x=54, y=115, z=107
- RPA: x=204, y=115, z=99
- AC: x=133, y=137, z=152
- PC: x=132, y=108, z=150
- IH: x=133, y=163, z=196 (anywhere on the midsagittal plane)
Functional data
Pre-Processing
Step 2: Using the PAC Function