Short-channel Functional Near-infrared Spectroscopy Regressions Improve when Source-detector Separation is Reduced

Overview

Journal Neurophotonics

Date 2015 Jul 10

PMID 26157972

Citations 40

Authors

James R Goodwin

Chantel R Gaudet

Andrew J Berger

Affiliations

Soon will be listed here.

Abstract

In functional near-infrared spectroscopy (fNIRS) of human cerebral hemodynamics, dedicated surface-sensitive recording channels are useful for regressing out background hemodynamics and isolating activation-specific responses. A wide variety of source-detector separations have been utilized for this purpose. Here, we report a direct comparison of regression performance between two extremes of the reported range, 13 and 6 mm. Measurements of visual stimulation response (flickering radial checkerboard) were obtained from nine adults using a standard commercial source-detector grid with 13-mm diagonals, into which three extra detector fibers were placed to provide 6-mm channels at certain locations. When the NIRS recordings (17 total trials) were processed, the contrast-to-noise ratio was significantly higher with 6-mm regression channels than with 13 mm. The advantage could be due in part to the undesired sensing of brain activity by the 13-mm channels. We suggest that shorter distances be considered for optimal removal of superficial hemodynamics in NIRS signals from the adult brain.

Citing Articles

Risk, Trust, and Emotion in Online Pharmacy Medication Purchases: Multimethod Approach Incorporating Customer Self-Reports, Facial Expressions, and Neural Activation.

Ersoz S, Nissen A, Schutte R JMIR Form Res. 2023; 7:e48850.

PMID: 38145483 PMC: 10775049. DOI: 10.2196/48850.

Subjective feeling of control during fNIRS-based neurofeedback targeting the DL-PFC is related to neural activation determined with short-channel correction.

Godet A, Serrand Y, Fortier A, Leger B, Bannier E, Val-Laillet D PLoS One. 2023; 18(8):e0290005.

PMID: 37585456 PMC: 10431651. DOI: 10.1371/journal.pone.0290005.

A Novel Exploratory Graph-Based Analytical Tool for Functional Near-Infrared Spectroscopy in Naturalistic Experiments: An Illustrative Application in Typically Developing Children.

Sato J, Pereira T, Martins C, Bezerra T, Queiroz M, Costa L Brain Sci. 2023; 13(6).

PMID: 37371383 PMC: 10296185. DOI: 10.3390/brainsci13060905.

Transient brain-wide coactivations and structured transitions revealed in hemodynamic imaging data.

Khan A, Zhang F, Shou G, Yuan H, Ding L Neuroimage. 2022; 260:119460.

PMID: 35868615 PMC: 9472706. DOI: 10.1016/j.neuroimage.2022.119460.

Systemic physiology augmented functional near-infrared spectroscopy: a powerful approach to study the embodied human brain.

Scholkmann F, Tachtsidis I, Wolf M, Wolf U Neurophotonics. 2022; 9(3):030801.

PMID: 35832785 PMC: 9272976. DOI: 10.1117/1.NPh.9.3.030801.

References

Wray S, Cope M, Delpy D, Wyatt J, Reynolds E . Characterization of the near infrared absorption spectra of cytochrome aa3 and haemoglobin for the non-invasive monitoring of cerebral oxygenation. Biochim Biophys Acta. 1988; 933(1):184-92. DOI: 10.1016/0005-2728(88)90069-2. View

Saager R, Telleri N, Berger A . Two-detector Corrected Near Infrared Spectroscopy (C-NIRS) detects hemodynamic activation responses more robustly than single-detector NIRS. Neuroimage. 2011; 55(4):1679-85. DOI: 10.1016/j.neuroimage.2011.01.043. View

Kirilina E, Jelzow A, Heine A, Niessing M, Wabnitz H, Bruhl R . The physiological origin of task-evoked systemic artefacts in functional near infrared spectroscopy. Neuroimage. 2012; 61(1):70-81. PMC: 3348501. DOI: 10.1016/j.neuroimage.2012.02.074. View

Zhang Q, Brown E, Strangman G . Adaptive filtering to reduce global interference in evoked brain activity detection: a human subject case study. J Biomed Opt. 2008; 12(6):064009. DOI: 10.1117/1.2804706. View

Gagnon L, Cooper R, Yucel M, Perdue K, Greve D, Boas D . Short separation channel location impacts the performance of short channel regression in NIRS. Neuroimage. 2011; 59(3):2518-28. PMC: 3254723. DOI: 10.1016/j.neuroimage.2011.08.095. View

Saager R, Berger A . Direct characterization and removal of interfering absorption trends in two-layer turbid media. J Opt Soc Am A Opt Image Sci Vis. 2005; 22(9):1874-82. DOI: 10.1364/josaa.22.001874. View

Gagnon L, Perdue K, Greve D, Goldenholz D, Kaskhedikar G, Boas D . Improved recovery of the hemodynamic response in diffuse optical imaging using short optode separations and state-space modeling. Neuroimage. 2011; 56(3):1362-71. PMC: 3085546. DOI: 10.1016/j.neuroimage.2011.03.001. View

Duncan A, Meek J, Clemence M, Elwell C, Fallon P, Tyszczuk L . Measurement of cranial optical path length as a function of age using phase resolved near infrared spectroscopy. Pediatr Res. 1996; 39(5):889-94. DOI: 10.1203/00006450-199605000-00025. View

Zhang Q, Strangman G, Ganis G . Adaptive filtering to reduce global interference in non-invasive NIRS measures of brain activation: how well and when does it work?. Neuroimage. 2009; 45(3):788-94. PMC: 2671198. DOI: 10.1016/j.neuroimage.2008.12.048. View

10.

Curran-Everett D . Multiple comparisons: philosophies and illustrations. Am J Physiol Regul Integr Comp Physiol. 2000; 279(1):R1-8. DOI: 10.1152/ajpregu.2000.279.1.R1. View

11.

Zhang Q, Brown E, Strangman G . Adaptive filtering for global interference cancellation and real-time recovery of evoked brain activity: a Monte Carlo simulation study. J Biomed Opt. 2007; 12(4):044014. DOI: 10.1117/1.2754714. View

12.

Fabbri F, Sassaroli A, Henry M, Fantini S . Optical measurements of absorption changes in two-layered diffusive media. Phys Med Biol. 2004; 49(7):1183-201. DOI: 10.1088/0031-9155/49/7/007. View

13.

Scholkmann F, Kleiser S, Metz A, Zimmermann R, Pavia J, Wolf U . A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology. Neuroimage. 2013; 85 Pt 1:6-27. DOI: 10.1016/j.neuroimage.2013.05.004. View

14.

Zeff B, White B, Dehghani H, Schlaggar B, Culver J . Retinotopic mapping of adult human visual cortex with high-density diffuse optical tomography. Proc Natl Acad Sci U S A. 2007; 104(29):12169-74. PMC: 1924577. DOI: 10.1073/pnas.0611266104. View

15.

Gregg N, White B, Zeff B, Berger A, Culver J . Brain specificity of diffuse optical imaging: improvements from superficial signal regression and tomography. Front Neuroenergetics. 2010; 2. PMC: 2914577. DOI: 10.3389/fnene.2010.00014. View

16.

Maki A, Yamashita Y, Ito Y, Watanabe E, Mayanagi Y, Koizumi H . Spatial and temporal analysis of human motor activity using noninvasive NIR topography. Med Phys. 1995; 22(12):1997-2005. DOI: 10.1118/1.597496. View

17.

Funane T, Atsumori H, Katura T, Obata A, Sato H, Tanikawa Y . Quantitative evaluation of deep and shallow tissue layers' contribution to fNIRS signal using multi-distance optodes and independent component analysis. Neuroimage. 2013; 85 Pt 1:150-65. DOI: 10.1016/j.neuroimage.2013.02.026. View