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

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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.

Highlights

  • WTools is a new MATLAB-based toolbox for time-frequency analysis of the EEG signal

  • It uses wavelet transformation and the algorithm is fully described

  • It is designed to be very user friendly through its simple GUI

  • It is open source and flexible as the code is freely available

  • We provide a step-by-step tutorial and an example dataset to learn the toolbox

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