» Articles » PMID: 23562703

Validation of a Novel Hemodynamic Model for Coherent Hemodynamics Spectroscopy (CHS) and Functional Brain Studies with FNIRS and FMRI

Overview
Journal Neuroimage
Specialty Radiology
Date 2013 Apr 9
PMID 23562703
Citations 22
Authors
Affiliations
Soon will be listed here.
Abstract

We report an experimental validation and applications of the new hemodynamic model presented in the companion article (Fantini, 2014-this issue) both in the frequency domain and in the time domain. In the frequency domain, we have performed diffuse optical measurements for coherent hemodynamics spectroscopy (CHS) on the brain and calf muscle of human subjects, showing that the hemodynamic model predictions (both in terms of spectral shapes and absolute spectral values) are confirmed experimentally. We show how the quantitative analysis based on the new model allows for autoregulation measurements from brain data, and provides an analytical description of near-infrared spiroximetry from muscle data. In the time domain, we have used data from the literature to perform a comparison between brain activation signals measured with functional near-infrared spectroscopy (fNIRS) or with blood oxygenation level dependent (BOLD) fMRI, and the corresponding signals predicted by the new model. This comparison shows an excellent agreement between the model predictions and the reported fNIRS and BOLD fMRI signals. This new hemodynamic model provides a valuable tool for brain studies with hemodynamic-based techniques.

Citing Articles

Interpersonal brain synchronization in social pain contexts: an fNIRS-based exploration of empathy.

Lian T, Jiao Z, Juan S, Song J, Zhang P Soc Cogn Affect Neurosci. 2025; 20(1).

PMID: 39856498 PMC: 11878638. DOI: 10.1093/scan/nsaf003.


Correlation and underlying brain mechanisms between rapid eye movement sleep behavior disorder and executive functions in Parkinson's disease: an fNIRS study.

Ren L, Yin X, Wang H, Hao X, Wang D, Jin F Front Aging Neurosci. 2024; 15:1290108.

PMID: 38274985 PMC: 10809391. DOI: 10.3389/fnagi.2023.1290108.


A narrative review on the use of near-infrared spectroscopy to monitor bladder volume and validation approaches.

Tu K, Lam J, Kim S Transl Androl Urol. 2023; 12(11):1732-1739.

PMID: 38106685 PMC: 10719763. DOI: 10.21037/tau-23-297.


Neurovascular, Metabolic, and Glymphatic Dynamics of the Brain Measured with fNIRS.

Taga G, Watanabe H Adv Exp Med Biol. 2023; 1438:197-202.

PMID: 37845461 DOI: 10.1007/978-3-031-42003-0_31.


Editorial Special Section on Biomedical Diffuse Optics for the Brain.

Fantini S IEEE Open J Eng Med Biol. 2023; 4:77-78.

PMID: 37287929 PMC: 10243531. DOI: 10.1109/OJEMB.2023.3273048.


References
1.
Franceschini M, Joseph D, Huppert T, Diamond S, Boas D . Diffuse optical imaging of the whole head. J Biomed Opt. 2006; 11(5):054007. PMC: 2637816. DOI: 10.1117/1.2363365. View

2.
Lee S, Lee M, Koh D, Kim B, Choi J . Cerebral hemodynamic responses to seizure in the mouse brain: simultaneous near-infrared spectroscopy-electroencephalography study. J Biomed Opt. 2010; 15(3):037010. DOI: 10.1117/1.3365952. View

3.
Kong Y, Zheng Y, Johnston D, Martindale J, Jones M, Billings S . A model of the dynamic relationship between blood flow and volume changes during brain activation. J Cereb Blood Flow Metab. 2004; 24(12):1382-92. DOI: 10.1097/01.WCB.0000141500.74439.53. View

4.
Eames P, Potter J, Panerai R . Influence of controlled breathing patterns on cerebrovascular autoregulation and cardiac baroreceptor sensitivity. Clin Sci (Lond). 2003; 106(2):155-62. DOI: 10.1042/CS20030194. View

5.
Fantini S . Dynamic model for the tissue concentration and oxygen saturation of hemoglobin in relation to blood volume, flow velocity, and oxygen consumption: Implications for functional neuroimaging and coherent hemodynamics spectroscopy (CHS). Neuroimage. 2013; 85 Pt 1:202-21. PMC: 3760999. DOI: 10.1016/j.neuroimage.2013.03.065. View