Light Propagation in NIR Spectroscopy of the Human Brain

In study of the brain, oxygenation changes in the cerebral cortex are of great interest, since the concentrations of oxyhaemoglobin and deoxyhaemoglobin change due to coupling of hemodynamics to cortical neural activity. In order to non-invasively monitor oxygenation in the cerebral cortex by near-infrared spectroscopy (NIRS), light should penetrate into brain tissue to a depth of approximately 1-2 cm. Many studies show that by increasing the source-detector distance, illuminating light penetrates deeper into brain tissue. Using tissue-mimicking phantom measurements, forehead in vivo measurements, and Monte Carlo (MC) simulations, this paper estimates light propagation in the brain and the minimum source-detector distance to allow sensing of the cerebral cortex. We present optical sensing of a pulsating aqueous intralipid suspension in a vessel located at different depths within a multilayered phantom of the human forehead. Experimental results are compared with the MC simulations accounting for the optical properties of the phantom. The thickness and morphology of the different tissue layers were obtained from an anatomical magnetic resonance image of a test subject's head. Results from these three methods correlate with each other and show that the brain cortex can be sensed with optical methods based on NIRS.

[1]  S. Arridge,et al.  Estimation of optical pathlength through tissue from direct time of flight measurement , 1988 .

[2]  Alexander A Oraevsky,et al.  Optical and acoustic properties at 1064 nm of polyvinyl chloride-plastisol for use as a tissue phantom in biomedical optoacoustics , 2005, Physics in medicine and biology.

[3]  Peter J. Kirkpatrick,et al.  Impairment of Cerebral Autoregulation Predicts Delayed Cerebral Ischemia After Subarachnoid Hemorrhage: A Prospective Observational Study , 2012, Stroke.

[4]  Kaoru Sakatani,et al.  Effects of Cerebral Ischemia on Evoked Cerebral Blood Oxygenation Responses and BOLD Contrast Functional MRI in Stroke Patients , 2006, Stroke.

[5]  K Yamakoshi,et al.  Pulse glucometry: A new approach for noninvasive blood glucose measurement using instantaneous differential near-infrared spectrophotometry. , 2006, Journal of biomedical optics.

[6]  M. Sawan,et al.  Non-invasive continuous EEG-fNIRS recording of temporal lobe seizures , 2012, Epilepsy Research.

[7]  Eiji Okada,et al.  The influence of frontal sinus in brain activation measurements by near-infrared spectroscopy analyzed by realistic head models , 2012, Biomedical optics express.

[8]  R. Gagnon,et al.  Phantom testing of two clinical spatially-resolved NIRS instruments , 2005 .

[9]  Kensuke Kawai,et al.  Refined analysis of complex language representations by non-invasive neuroimaging techniques , 2011, British journal of neurosurgery.

[10]  Yunjie Tong,et al.  Time lag dependent multimodal processing of concurrent fMRI and near-infrared spectroscopy (NIRS) data suggests a global circulatory origin for low-frequency oscillation signals in human brain , 2010, NeuroImage.

[11]  Marco Ferrari,et al.  A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application , 2012, NeuroImage.

[12]  P M Rossini,et al.  Increased Cerebral Vasomotor Reactivity in Migraine With Aura: An Autoregulation Disorder? A Transcranial Doppler and Near-Infrared Spectroscopy Study , 2008, Cephalalgia : an international journal of headache.

[13]  V. Tuchin.  Tissue Optics: Light Scattering Methods and Instruments for Medical Diagnosis , 2000 .

[14]  Anton V. Gorshkov,et al.  Monte Carlo simulation of brain sensing by optical diffuse spectroscopy , 2012, J. Comput. Sci..

[15]  P. V. D. Zee,et al.  Measurement and modelling of the optical properties of human tissue in the near infrared , 1992 .

[16]  Jeremy C Hebden,et al.  A tissue equivalent phantom for simultaneous near-infrared optical tomography and EEG , 2010, Biomedical optics express.

[17]  Karl J. Friston.  Functional and Effective Connectivity: A Review , 2011, Brain Connect..

[18]  Oliver Granert,et al.  Changes in activity of striato–thalamo–cortical network precede generalized spike wave discharges , 2008, NeuroImage.

[19]  L Wang,et al.  MCML--Monte Carlo modeling of light transport in multi-layered tissues. , 1995, Computer methods and programs in biomedicine.

[20]  D T Delpy,et al.  Measurement of the optical properties of the skull in the wavelength range 650-950 nm , 1993, Physics in medicine and biology.

[21]  Yunjie Tong,et al.  Concurrent fNIRS and fMRI processing allows independent visualization of the propagation of pressure waves and bulk blood flow in the cerebral vasculature , 2012, NeuroImage.

[22]  Nathaniel F Watson,et al.  Determination of language dominance with near-infrared spectroscopy: comparison with the intracarotid amobarbital procedure , 2004, Seizure.

[23]  R. L. Barbour,et al.  A Programmable Laboratory Testbed in Support of Evaluation of Functional Brain Activation and Connectivity , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[24]  Hans-Jochen Heinze,et al.  Assessment of Cortical Hemodynamics by Multichannel Near-Infrared Spectroscopy in Steno-Occlusive Disease of the Middle Cerebral Artery , 2012, Stroke.

[25]  A. P. Popov,et al.  Skin phantoms with realistic vessel structure for OCT measurements , 2010, Laser Applications in Life Sciences.

[26]  B. Biswal,et al.  Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.

[27]  D. Boas,et al.  Non-invasive neuroimaging using near-infrared light , 2002, Biological Psychiatry.

[28]  A. N. Bashkatov,et al.  Optical properties of human skin, subcutaneous and mucous tissues in the wavelength range from 400 to 2000 nm , 2005 .

[29]  F. Molinari,et al.  Why do we need NIRS in migraine? , 2007, Neurological Sciences.

[30]  A. Villringer,et al.  Spontaneous Low Frequency Oscillations of Cerebral Hemodynamics and Metabolism in Human Adults , 2000, NeuroImage.

[31]  A Taddeucci,et al.  Optical properties of brain tissue. , 1996, Journal of biomedical optics.

[32]  Yunjie Tong,et al.  An improved method for mapping cerebrovascular reserve using concurrent fMRI and near-infrared spectroscopy with Regressor Interpolation at Progressive Time Delays (RIPTiDe) , 2011, NeuroImage.

[33]  Hannu Sorvoja,et al.  Human Heart Pulse Wave Responses Measured Simultaneously at Several Sensor Placements by Two MR-Compatible Fibre Optic Methods , 2012, J. Sensors.

[34]  Alexander V. Priezzhev,et al.  Multilayer tissue phantoms with embedded capillary system for OCT and DOCT imaging , 2011, European Conference on Biomedical Optics.

[35]  A. Humeau,et al.  Depth sensitivity analysis of functional near-infrared spectroscopy measurement using three-dimensional Monte Carlo modelling-based magnetic resonance imaging , 2010, Lasers in Medical Science.

[36]  D. Boas,et al.  Diffuse optical tomography system to image brain activation with improved spatial resolution and validation with functional magnetic resonance imaging. , 2006, Applied optics.

[37]  Takamitsu Yamamoto,et al.  Evoked-cerebral blood oxygenation changes in false-negative activations in BOLD contrast functional MRI of patients with brain tumors , 2004, NeuroImage.

[38]  Yong Xu,et al.  Validation of near infrared spectroscopic (NIRS) imaging using programmable phantoms , 2008, SPIE BiOS.

[39]  Risto Myllylä,et al.  APPLICATION OF LASERS AND LASER-OPTICAL METHODS IN LIFE SCIENCES Non-invasive, MRI-compatible fibreoptic device for functional near-IR reflectometry of human brain , 2011 .

[40]  A. Dale,et al.  Monte Carlo simulation of the spatial resolution and depth sensitivity of two-dimensional optical imaging of the brain. , 2011, Journal of biomedical optics.

[41]  Vesa Korhonen,et al.  Optical sensing of a pulsating liquid in a brain-mimicking phantom , 2013, European Conference on Biomedical Optics.

[42]  D. Delpy,et al.  System for long-term measurement of cerebral blood and tissue oxygenation on newborn infants by near infra-red transillumination , 1988, Medical and Biological Engineering and Computing.

[43]  I. Y. Petrov,et al.  Optoacoustic monitoring of cerebral venous blood oxygenation though intact scalp in large animals , 2012, Optics express.

[44]  Vesa Kiviniemi,et al.  Endogenous brain fluctuations and diagnostic imaging , 2008, Human brain mapping.

[45]  Hellmuth Obrig,et al.  NIRS in clinical neurology — a ‘promising’ tool? , 2014, NeuroImage.

[46]  M. Schweiger,et al.  Theoretical and experimental investigation of near-infrared light propagation in a model of the adult head. , 1997, Applied optics.

[47]  Norihiro Sadato,et al.  A NIRS–fMRI study of resting state network , 2012, NeuroImage.

[48]  D. Boas,et al.  Three dimensional Monte Carlo code for photon migration through complex heterogeneous media including the adult human head. , 2002, Optics express.

[49]  Ching-Cheng Chuang,et al.  Patient-oriented simulation based on Monte Carlo algorithm by using MRI data , 2012, Biomedical engineering online.

[50]  H. J. van Staveren,et al.  Light scattering in Intralipid-10% in the wavelength range of 400-1100 nm. , 1991, Applied optics.

[51]  M. Arango,et al.  Near-infrared spectroscopy as an index of brain and tissue oxygenation. , 2009, British journal of anaesthesia.

[52]  S. Arridge,et al.  Experimentally measured optical pathlengths for the adult head, calf and forearm and the head of the newborn infant as a function of inter optode spacing. , 1992, Advances in experimental medicine and biology.

[53]  Baruch Ben Dor,et al.  Development and validation of a multiwavelength spatial domain near-infrared oximeter to detect cerebral hypoxia-ischemia. , 2006, Journal of biomedical optics.