Preprocessing Pipeline for fNIRS Data in Children

Caterina Piazza, Andrea Bacchetta, Alessandro Crippa, Maddalena Mauri, Silvia Grazioli, Gianluigi Reni, Maria Nobile, Anna Maria Bianchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Functional near-infrared spectroscopy (fNIRS) is a non-invasive neuroimaging technique, largely used in paediatric research. However, there is not a standardized and widely accepted protocol for fNIRS data processing with potential effects on the reliability and replicability of the obtained results. The present study is within this framework aiming at the identification of an adequate pre-processing pipeline to be used for the analysis of children fNIRS datasets. The performance of five different motion correction techniques, based on the principal component analysis and on the wavelet filtering, was evaluated by analyzing fNIRS data recorded in 22 typically developing children (mean age 11.4 years). The results showed that the wavelet analysis combined with a moving average filter achieved the best performance, suggesting that this technique might become a gold-standard approach for motion artifacts correction in fNIRS children’s datasets.

Original languageEnglish
Title of host publication15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019
EditorsJorge Henriques, Paulo de Carvalho, Nuno Neves
PublisherSpringer
Pages235-244
Number of pages10
ISBN (Print)9783030316341
DOIs
Publication statusPublished - Jan 1 2020
Event15th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2019 - Coimbra, Portugal
Duration: Sep 26 2019Sep 28 2019

Publication series

NameIFMBE Proceedings
Volume76
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277

Conference

Conference15th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2019
CountryPortugal
CityCoimbra
Period9/26/199/28/19

Keywords

  • Children
  • Functional Near-Infrared Spectroscopy
  • Motion correction
  • Principal component analysis
  • Wavelet filtering

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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  • Cite this

    Piazza, C., Bacchetta, A., Crippa, A., Mauri, M., Grazioli, S., Reni, G., Nobile, M., & Bianchi, A. M. (2020). Preprocessing Pipeline for fNIRS Data in Children. In J. Henriques, P. de Carvalho, & N. Neves (Eds.), 15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019 (pp. 235-244). (IFMBE Proceedings; Vol. 76). Springer. https://doi.org/10.1007/978-3-030-31635-8_28