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Statistical power: Implications for planning MEG studies.

Maximilien Chaumon¹, Aina Puce², Nathalie George¹

¹Institut du Cerveau, ICM, Inserm U 1127, CNRS UMR 7225, Sorbonne Université, Centre MEG-EEG, Centre de NeuroImagerie Recherche (CENIR), 47 Boulevard de l'hôpital, 75013 Paris, France.

|March 19, 2021

Summary

This summary is machine-generated.

Statistical power in MEG studies depends on brain region. Source location, orientation, and their variability across subjects critically influence detectability, meaning ideal trial and subject numbers vary by anatomical area.

Keywords:

Distance MEG Orientation Simulation Source modeling Statistical power

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Area of Science:

Neuroscience
Biophysics
Statistical Modeling

Background:

Statistical power is crucial for reliable and reproducible scientific findings.
Magnetoencephalography (MEG) is a key neuroimaging technique for studying brain activity.
Understanding factors influencing statistical power in MEG is essential for experimental design.

Purpose of the Study:

To systematically investigate how the number of trials and subjects impacts statistical power in MEG sensor-level data.
To identify spatial properties of neural sources that affect the detectability of effects in MEG.
To provide guidance on optimizing experimental parameters for MEG studies.

Main Methods:

Simulated MEG experiments using the Human Connectome Project (HCP) resting-state dataset.
Injected dipolar sources in a signal condition and compared with a noise condition.
Analyzed sensor-level data using paired t-tests with amplitude, squared amplitude, and global field power (GFP) measures.
Examined the influence of source distance to sensors, orientation, and cross-subject variability.

Main Results:

Detectability of simulated effects varied significantly based on anatomical origin.
Sources closest to sensors and with tangential orientation showed the highest detectability.
Cross-subject variability in source orientation impacted group-level detectability, hindering it where variability was high.
Independent simulations confirmed the strong influence of distance and orientation, with orientation variability affecting detectability, but not position variability.

Conclusions:

Strict, universal recommendations for the number of trials and subjects in MEG studies are not feasible.
Optimal experimental parameters must be adapted based on the specific brain regions being investigated.
Source location and orientation relative to sensors, along with their variability across individuals, are critical determinants of statistical power in MEG.