Literature DB >> 35519260

Lock-in functional near-infrared spectroscopy for measurement of the haemodynamic brain response.

Stanislaw Wojtkiewicz1, Karolina Bejm1, Adam Liebert1.   

Abstract

Here we show a method of the lock-in amplifying near-infrared signals originating within a human brain. It implies using two 90-degree rotated source-detector pairs fixed on a head surface. Both pairs have a joint sensitivity region located towards the brain. A direct application of the lock-in technique on both signals results in amplifying common frequency components, e.g. related to brain cortex stimulation and attenuating the rest, including all components not related to the stimulation: e.g. pulse, instrumental and biological noise or movement artefacts. This is a self-driven method as no prior assumptions are needed and the noise model is provided by the interfering signals themselves. We show the theory (classical modified Beer-Lambert law and diffuse optical tomography approaches), the algorithm implementation and tests on a finite element mathematical model and in-vivo on healthy volunteers during visual cortex stimulation. The proposed hardware and algorithm complexity suit the entire spectrum of (continuous wave, frequency domain, time-resolved) near-infrared spectroscopy systems featuring real-time, direct, robust and low-noise brain activity registration tool. As such, this can be of special interest in optical brain computer interfaces and high reliability/stability monitors of tissue oxygenation.
© 2022 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

Entities:  

Year:  2022        PMID: 35519260      PMCID: PMC9045899          DOI: 10.1364/BOE.448038

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.562


  37 in total

1.  Photon-measurement density functions. Part I: Analytical forms.

Authors:  S R Arridge
Journal:  Appl Opt       Date:  1995-11-01       Impact factor: 1.980

2.  Influence of contrast-reversing frequency on the amplitude and spatial distribution of visual cortex hemodynamic responses.

Authors:  Karolina Bejm; Stanisław Wojtkiewicz; Piotr Sawosz; Maciej Perdziak; Zanna Pastuszak; Aleh Sudakou; Petro Guchek; Adam Liebert
Journal:  Biomed Opt Express       Date:  2019-11-15       Impact factor: 3.732

3.  High-density functional diffuse optical tomography based on frequency-domain measurements improves image quality and spatial resolution.

Authors:  Matthaios Doulgerakis; Adam T Eggebrecht; Hamid Dehghani
Journal:  Neurophotonics       Date:  2019-08-21       Impact factor: 3.593

4.  Dual-slope imaging in highly scattering media with frequency-domain near-infrared spectroscopy.

Authors:  Giles Blaney; Angelo Sassaroli; Sergio Fantini
Journal:  Opt Lett       Date:  2020-08-15       Impact factor: 3.560

5.  Mapping distributed brain function and networks with diffuse optical tomography.

Authors:  Adam T Eggebrecht; Silvina L Ferradal; Amy Robichaux-Viehoever; Mahlega S Hassanpour; Hamid Dehghani; Abraham Z Snyder; Tamara Hershey; Joseph P Culver
Journal:  Nat Photonics       Date:  2014-06       Impact factor: 38.771

6.  Time-reversed ultrasonically encoded optical focusing into scattering media.

Authors:  Xiao Xu; Honglin Liu; Lihong V Wang
Journal:  Nat Photonics       Date:  2011-03       Impact factor: 38.771

7.  Subject-specific pulse wave propagation modeling: Towards enhancement of cardiovascular assessment methods.

Authors:  Jan Poleszczuk; Malgorzata Debowska; Wojciech Dabrowski; Alicja Wojcik-Zaluska; Wojciech Zaluska; Jacek Waniewski
Journal:  PLoS One       Date:  2018-01-11       Impact factor: 3.240

8.  Lightweight sCMOS-based high-density diffuse optical tomography.

Authors:  Karla M Bergonzi; Tracy M Burns-Yocum; Jonathan R Bumstead; Elise M Buckley; Patrick C Mannion; Christopher H Tracy; Eli Mennerick; Silvina L Ferradal; Hamid Dehghani; Adam T Eggebrecht; Joseph P Culver
Journal:  Neurophotonics       Date:  2018-08-17       Impact factor: 3.593

9.  Assessing Time-Resolved fNIRS for Brain-Computer Interface Applications of Mental Communication.

Authors:  Androu Abdalmalak; Daniel Milej; Lawrence C M Yip; Ali R Khan; Mamadou Diop; Adrian M Owen; Keith St Lawrence
Journal:  Front Neurosci       Date:  2020-02-18       Impact factor: 4.677

10.  Direct assessment of extracerebral signal contamination on optical measurements of cerebral blood flow, oxygenation, and metabolism.

Authors:  Daniel Milej; Androu Abdalmalak; Ajay Rajaram; Keith St Lawrence
Journal:  Neurophotonics       Date:  2020-10-07       Impact factor: 3.593

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