EasyMEG

EasyMEG: MATLAB-based toolbox for magnetoencephalography data analysis

EasyMEG performs preprocessing, time-lock analysis, time-frequency analysis, and source analysis of magnetoencephalography (MEG) data to extract neural activity patterns with high temporal and spatial resolution.

Key Features:

• Preprocessing: Prepares MEG data for analysis to ensure signal quality and reliability.
• Time-Lock Analysis: Quantifies neural responses at defined time points relative to experimental events.
• Time-Frequency Analysis: Characterizes temporal dynamics of neural oscillations across frequency bands.
• Source Analysis: Localizes neural activity sources within the brain using magnetic source imaging.
• MATLAB Implementation: Implements analytical functions in MATLAB for cross-platform computational consistency.

Scientific Applications:

• Neuroscience Research: Investigates neural dynamics underlying cognitive and behavioral processes.
• Clinical Diagnostics: Supports analysis of MEG data for evaluation of neurological disorders.

Methodology:

EasyMEG applies MATLAB-based computational routines to process MEG signals through sequential preprocessing, event-related time-lock analysis, time-frequency decomposition, and source localization to derive spatial and temporal representations of neural activity.