NICA: A novel Toolbox for Near-Infrared Spectroscopy Calculations and Analyses

Philipp Raggam, Günther Bauernfeind, Selina Christin Wriessnegger

Publikation: Beitrag in einer FachzeitschriftArtikelForschungBegutachtung


Functional near-infrared spectroscopy (fNIRS) measures the functional activity of the cerebral cortex. The concentration changes of oxygenated (oxy-Hb) and deoxygenated hemoglobin (deoxy-Hb) can be detected and associated with activation of the cortex in the investigated area (neurovascular coupling). Recorded signals of hemodynamic responses may contain influences from physiological signals (systemic influences, physiological artefacts) which do not originate from the cerebral cortex activity. The physiological artefacts contain the blood pressure (BP), respiratory patterns and the pulsation of the heart. In order to perform a comprehensive analysis of recorded fNIRS data, a proper correction of these physiological artefacts is necessary. This article introduces NICA – a novel toolbox for near-infrared spectroscopy calculations and analyses based on MATLAB. With NICA it is possible to process and visualize fNIRS measurement data, including different signal processing methods for physiological artefact correction. The artefact correction methods used in this toolbox are common average reference (CAR), independent component analysis (ICA) and transfer function (TF) models. A practical example provides results from a study, where NICA was used for analyzing the measurement data, in order to demonstrate the signal processing steps and the physiological artefact correction. The toolbox was developed for fNIRS data recorded with the NIRScout 1624 measurement device and the corresponding recording software NIRStar.
FachzeitschriftFrontiers in Neuroinformatics
PublikationsstatusVeröffentlicht - 2020

Fields of Expertise

  • Human- & Biotechnology


  • BioTechMed-Graz

Fingerprint Untersuchen Sie die Forschungsthemen von „NICA: A novel Toolbox for Near-Infrared Spectroscopy Calculations and Analyses“. Zusammen bilden sie einen einzigartigen Fingerprint.

  • Dieses zitieren