Cerebral resting state oscillations study with TD fNIRS

R. Re; L. Contini; D. Contini; F. Orihuela-Espina; A. Torricelli; L. Spinelli

doi:10.1117/12.2668895

9 August 2023 Cerebral resting state oscillations study with TD fNIRS

R. Re, L. Contini, D. Contini, F. Orihuela-Espina, A. Torricelli, L. Spinelli

Proceedings Volume 12628, Diffuse Optical Spectroscopy and Imaging IX; 126280I (2023) https://doi.org/10.1117/12.2668895
Event: European Conferences on Biomedical Optics, 2023, Munich, Germany

Abstract

This work aims to show the possibility to perform in-vivo acquisitions with high sampling rate (20 Hz) with Time Domain functional Near-Infrared Spectroscopy (TD fNIRS) for studying brain resting state oscillations. Based on numerical simulations, a protocol was designed for acquiring hemodynamics parameters on 13 healthy volunteers during normal and forced respiration. Both the experiments had a length of 15 minutes and during the forced respiration one, subjects were ask to breath at 5 breaths per minute (0.083 Hz) following a metronome. Systemic (UP) and cortical (DW) oxy- (O₂Hb) and deoxy- (HHb) hemoglobin concentrations (absolute values) were successfully retrieved with a single measure on the frontal lobe. Temporal series and Power Spectral Density (PSD) were calculated for: physiological signals (electrocardiogram, breath signal, blood volume pulse, skin conductance and temperature), total counts at the two wavelengths (RED = 689.5±0.5 nm and IR=828.5±0.5 nm), counts in temporal gates for RED and IR, absolute values of O₂Hb_UP, O₂Hb_DW, HHb_UP and HHb_DW. Specific characteristic peaks were evaluated in the cardiac, respiratory, low, and very low frequency bands. The behavior among the subjects was uniform and differences between the two experiments were found.

Citation Download Citation

R. Re, L. Contini, D. Contini, F. Orihuela-Espina, A. Torricelli, and L. Spinelli "Cerebral resting state oscillations study with TD fNIRS", Proc. SPIE 12628, Diffuse Optical Spectroscopy and Imaging IX, 126280I (9 August 2023); https://doi.org/10.1117/12.2668895

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KEYWORDS

Brain

Hemodynamics

In vivo imaging

Near infrared spectroscopy

Numerical simulations

Pulse signals

Sampling rates

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