Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Journal Home About Issues in Progress Current Issue All Issues Feature Issues

Study of local cerebral hemodynamics by frequency-domain near-infrared spectroscopy and correlation with simultaneously acquired functional magnetic resonance imaging

Vladislav Toronov, Andrew Webb, Jee Hyun Choi, Martin Wolf, Larisa Safonova, Ursula Wolf, and Enrico Gratton

Open Access Open Access

Abstract

The aim of our study was to explore the possibility of detecting hemodynamic changes in the brain using the phase of the intensity modulated optical signal. To obtain optical signals with the highest possible signal-to-noise ratio, we performed a series of simultaneous NIRS-fMRI measurements, with subsequent correlation of the time courses of both measurements. The cognitive paradigm used arithmetic calculations, with optical signals acquired with sensors placed on the forehead. Measurements were done on seven healthy subjects. In five subjects we demonstrated correlation between the hemodynamic signals obtained using NIRS and BOLD fMRI. In four subjects correlation was found for the hemodynamic signal obtained using the phase of the intensity modulated signal.

©2001 Optical Society of America

Full Article  |  PDF Article
More Like This
Optimal quantitation of the cerebral hemodynamic response in functional near-infrared spectroscopy

Irina Schelkanova and Vladislav Toronov
Opt. Express 18(18) 19386-19395 (2010)

Depth-dependent cerebral hemodynamic responses following Direct Cortical Electrical Stimulation (DCES) revealed by in vivo dual-optical imaging techniques

Seungduk Lee, Dalkwon Koh, Areum Jo, Hae Young Lim, Young-Jin Jung, Choong-Ki Kim, Youngwook Seo, Chang-Hwan Im, Beop-Min Kim, and Minah Suh
Opt. Express 20(7) 6932-6943 (2012)

Resting state functional connectivity of the whole head with near-infrared spectroscopy

Rickson C. Mesquita, Maria A. Franceschini, and David A. Boas
Biomed. Opt. Express 1(1) 324-336 (2010)

View More...

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (4)
Fig. 1.
Fig. 1. The optical sensor. At each location marked by numbers 1–8 there are two light sources, at 830 nm and 758 nm

Download Full Size | PDF

Fig. 2.
Fig. 2. Correlation maps obtained by temporal correlation of BOLD fMRI signal with — Δ[HHb] signal calculated using (a) AC of optical signals at 758 and 830 nm (b) phase at 758 nm and 830 nm; (c) functional activation map produced by correlation with a stimulus-locked boxcar function. In all subfigures arrows point at the location of the center of the optical sensor. The yellow color corresponds to the highest z-score and the red color corresponds to the z-score equal to 4.8. Letters ‘L’ and ‘R’ indicate left and right sides of the head, respectively.

Download Full Size | PDF

Fig. 3.
Fig. 3. Time course of changes in (a)-Ln(AC) at 758 nm; (b) phase at 758 nm; (c)[HHb] signal calculated using AC data and correction procedure; (d) [HHb] signal calculated using phase data and correction procedure. Green rectangles show activation periods.

Download Full Size | PDF

Fig. 4.
Fig. 4. Correlation maps for a subject who did not exhibit activation near the optical sensor. Correlation maps obtained by temporal correlation of BOLD fMRI signal with -[HHb] signal calculated using (a) AC at 758 and 830 nm (b) phase; (c) functional activation map. Critical z-score value is 4.5.

Download Full Size | PDF

Equations (11)

Equations on this page are rendered with MathJax. Learn more.

Δ μ a λ = Δ [ O 2 H b ] ε [ O 2 H b ] λ + Δ [ H H b ] ε [ H H b ] λ ,
ϕ = r ( μ a 2 D ) 1 2 [ ( 1 + x 2 ) 1 2 − 1 ] 1 2 ,
ln ( r U D C ) = − r ( μ a D ) 1 2 + ln ( S 0 4 π c D ) ,
ln ( r U A C ) = − r ( μ a 2 D ) 1 2 [ ( 1 + x 2 ) 1 2 + 1 ] 1 2 + ln ( S 0 A 4 π c D ) ,
− μ a
1 ⁄ μ a
Δ ln ( r U A C ) = − σ A C Δ μ a ,
Δ ln ( r U D C ) = − σ D C Δ μ a ,
Δ φ = − σ ϕ Δ μ a ,
Δ [ O 2 Hb ] = Δ μ a λ 1 ε Hb λ 2 − Δ μ a λ 2 ε Hb λ 1 ε Hb O 2 λ 1 ε Hb λ 2 − ε Hb λ 1 ε Hb O 2 λ 2 ,
Δ [ HHb ] = Δ μ a λ 2 ε Hb O 2 λ 1 − Δ μ a λ 1 ε Hb O 2 λ 2 ε Hb O 2 λ 1 ε Hb λ 2 − ε Hb λ 1 ε Hb O 2 λ 2 .
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use