HTML reports overview

HTML reports overview#

Every metric in MEGqc generates its own HTML report. Each report is full of interactive figures that you can zoom in and out, reveal legends on hovering, hide or show specific epochs or channels… Here you can find an overview of each report:

  1. Standard Deviation of the Data

  2. Peak-to-Peak (manual calculation)

  3. ECG (Electrocardiogram) calculation

  4. EOG (Electrooculography) calculation

  5. Muscle Artifacts calculation

  6. Power Spectral Density

In this tutorial we’ve included some GIFs to demonstrate the interactive capabilities of the figures. These overviews will show only data from the Magnetometers, but the logic and interpretation for Gradiometers are very similar.

Source of the figures?

All the examples in every section were created from the subject 009 from the ds003483 dataset available on OpenNeuro. This dataset (among many others) was used to evaluate the MEGqc tool. You may download this same dataset, to recreate these same reports by yourself.

Basic Information#

Almost every metric will start with some general metadata (date, experimenter, duration…) and basic information about the sensors, such as sensor positions and labels.

raw-info

Sensor Positions#

sensor-distribution

Visual representation of the spatial distribution of MEG sensors on the subject’s head. The sensors are divided into eight color-coded groups representing different lobes. This same color coding will be used frequently throughout the reports for reference.

  1. Rotate the figure: By clicking and holding the mouse left-button while dragging, you can rotate the sensor positions figure to view it from different angles.

rotation

  1. Hide and reveal sensors: By clicking on the legend block, you can hide the sensors of a specific lobe. Clicking the block again will make the sensors reappear.

hide

  1. Sensor labels: The sensor labels appear when you hover over a sensor dot. Alternatively, you can enable “Always show channels names” option, which keeps all labels visible. Enabling this feature might take some time to render, specially if all lobes are visible.

labels

Channel types

The sensor labels help you distinguish between Magnetometers and Gradiometers:

  • Magnetometer: it measures the magnetic field directly, providing data on its strength and direction, therefore, they are more vulnerable to external magnetic noise. Its label ends with “1” (e.g., MEG1011).

  • Gradiometers: These sensors come in pairs and they measure the gradient of the magentic field (the difference between 2 measurements). Their labels end with “2” and “3”, one number per Gradiometer in a sensor (e.g. MEG0112 and MEG0113).

Next Section#

In the next pages you’ll learn more about the interpretation of each specific report.

Also, in the next section, you’ll learn more about the Global Quality Index (GQI), how it is calculated and how to interprate the outcome.

Contents