WTools: A MATLAB-based toolbox for time-frequency analysis of infant data
Ambra Ferrari, Luca Filippin, Marco Buiatti, Eugenio Parise
TL;DR
WTools is a MATLAB-based toolbox for analyzing infant EEG data using time-frequency methods, offering an intuitive interface and flexibility for developmental neuroscience research.
Contribution
WTools introduces a new, open-source MATLAB toolbox for infant EEG time-frequency analysis with a user-friendly GUI and customizable settings.
Findings
WTools uses complex wavelet transformation for accurate time-frequency analysis of infant EEG signals.
The toolbox provides a detailed algorithm description and comparison with existing methods like EEGLAB.
A tutorial with sample data enhances accessibility and promotes reproducible research for novice users.
Abstract
Electroencephalography (EEG) is an established method for investigating neurocognitive functions during human development. In cognitive neuroscience, time-frequency analysis of the EEG is a widely used analytical approach. This paper introduces WTools, a new MATLAB-based toolbox for time-frequency analysis of EEG signals using complex wavelet transformation. WTools features an intuitive GUI that guides users through the analysis steps, focusing on essential parameters. Being free and open-source, it can be integrated and expanded with new features, making it a handy tool that is growing its popularity in developmental cognitive neuroscience. While the default settings follow established pipelines in developmental research, the toolbox also provides the flexibility to accommodate settings more commonly used in adult neuroscience. Here, we provide a detailed description of the WTools…
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Taxonomy
TopicsNeural dynamics and brain function · EEG and Brain-Computer Interfaces · Photoreceptor and optogenetics research