ToFFi – Toolbox for frequency-based fingerprinting of brain signals

Michał K. Komorowski; Krzysztof Rykaczewski; Tomasz Piotrowski; Katarzyna Jurewicz; Jakub Wojciechowski; Anne Keitel; Joanna Dreszer; Włodzisław Duch

doi:10.1016/j.neucom.2023.126236

ToFFi – Toolbox for frequency-based fingerprinting of brain signals

Michał K. Komorowski, Krzysztof Rykaczewski, Tomasz Piotrowski, Katarzyna Jurewicz, Jakub Wojciechowski, Anne Keitel, Joanna Dreszer, Włodzisław Duch

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve as biomarkers of differences exhibited by non-neurotypical groups. At present, there are no open-source, versatile tools to calculate spectral fingerprints. We have filled this gap by creating a modular, highly-configurable MATLAB Toolbox for Frequency-based Fingerprinting (ToFFi). It can transform magnetoencephalographic and electroencephalographic signals into unique spectral representations using ROIs provided by anatomical (AAL, Desikan-Killiany), functional (Schaefer), or other custom volumetric brain parcellations. Toolbox design supports reproducibility and parallel computations.

Original language	English
Article number	126236
Journal	Neurocomputing
Volume	544
DOIs	https://doi.org/10.1016/j.neucom.2023.126236
State	Published - Aug 1 2023
Externally published	Yes

Funding

Funding: This work has been supported by the National Science Centre, Poland, grant UMO-2016/20/W/NZ4/00354. Data were provided [in part] by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. Calculations were carried out at the Tricity Academic Supercomputer & Network Center in Gdańsk. We thank professor Joachim Gross for his generous technical support, Ewa Ratajczak, and Bartosz Kochański for helping out with testing and debugging the software.

Funders	Funder number
National Institutes of Health
NIH Blueprint for Neuroscience Research
McDonnell Center for Systems Neuroscience
Narodowym Centrum Nauki	1U54MH091657, UMO-2016/20/W/NZ4/00354

Keywords

Biomarkers
Brain fingerprinting
Computational neuroscience
Source localization
Spectral fingerprints

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10.1016/j.neucom.2023.126236

Cite this

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abstract = "Spectral fingerprints (SFs) are unique power spectra signatures of human brain regions of interest (ROIs, Keitel & Gross, 2016). SFs allow for accurate ROI identification and can serve as biomarkers of differences exhibited by non-neurotypical groups. At present, there are no open-source, versatile tools to calculate spectral fingerprints. We have filled this gap by creating a modular, highly-configurable MATLAB Toolbox for Frequency-based Fingerprinting (ToFFi). It can transform magnetoencephalographic and electroencephalographic signals into unique spectral representations using ROIs provided by anatomical (AAL, Desikan-Killiany), functional (Schaefer), or other custom volumetric brain parcellations. Toolbox design supports reproducibility and parallel computations.",

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AU - Komorowski, Michał K.

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AU - Piotrowski, Tomasz

AU - Jurewicz, Katarzyna

AU - Wojciechowski, Jakub

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AU - Dreszer, Joanna

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ToFFi – Toolbox for frequency-based fingerprinting of brain signals

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Funding

Keywords

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