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bioRxiv · 10.1101/2024.10.31.621249

WTools: a MATLAB-based toolbox for time-frequency analysis

Ferrari, A.·Filippin, L.·Buiatti, M.·Parise, E.
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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 capable of performing 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. Here, we provide a detailed description of the WTools algorithm for wavelet transformation and we compare it with state-of-the-art methods implemented in EEGLAB. Alongside the official tool release, we also offer a comprehensive illustrated tutorial to enhance accessibility and promote the transparent and reproducible usage of WTools by the scientific community. HighlightsO_LIWTools is a new MATLAB-based toolbox for time-frequency analysis of the EEG signal C_LIO_LIIt uses wavelet transformation and the algorithm is fully described C_LIO_LIIt is designed to be very user friendly through its simple GUI C_LIO_LIIt is open source and flexible as the code is freely available C_LIO_LIWe provide a step-by-step tutorial and an example dataset to learn the toolbox C_LI

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Ferrari, A., Filippin, L., Buiatti, M., Parise, E.. 2024-10-31. WTools: a MATLAB-based toolbox for time-frequency analysis. https://doi.org/10.1101/2024.10.31.621249

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