Abstract
Broadband near-infrared spectroscopy (bNIRS) has the potential to provide non-invasive measures of cerebral haemodynamic changes alongside changes in cellular oxygen utilisation through the measurement of mitochondrial enzyme cytochrome-c-oxidase (oxCCO). It therefore provides the opportunity to explore brain function and specialisation, which remains largely unexplored in infancy. We used bNIRS to measure changes in haemodynamics and changes in oxCCO in 4-to-7-month-old infants over the occipital and right temporal and parietal cortices in response to social and non-social visual and auditory stimuli. Changes in concentration of oxygenated-haemoglobin (Δ[HbO2]), deoxygenated haemoglobin (Δ[HHb]) and change in the oxidation state of oxCCO (Δ[oxCCO]) were calculated using changes in attenuation of light at 120 wavelengths between 780 and900 nm, using the UCLn algorithm. For 4 infants, the attenuation changes in a subset of wavelengths were used to perform image reconstruction, in an age-matched infant model, for channels over the right parietal and temporal cortices, using a multispectral approach which allows direct reconstruction of concentration change data. The volumetric reconstructed images were mapped onto the cortical surface to visualise the reconstructed changes in concentration of HbO2 and HHb and changes in metabolism for both social and non-social stimuli. Spatially localised activation was observed for Δ[oxCCO] and Δ[HbO2] over the temporo-parietal region, in response to the social stimulus. This study provides the first reconstructed images of changes in metabolism in healthy, awake infants.
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References
Wilcox T, Bortfeld H, Woods R, Wruck E, Boas DA (2008) Hemodynamic response to featural changes in the occipital and inferior temporal cortex in infants: a preliminary methodological exploration: Paper. Dev Sci. https://doi.org/10.1111/j.1467-7687.2008.00681.x
Kita Y et al (2011) Self-face recognition in children with autism spectrum disorders: a near-infrared spectroscopy study. Brain Dev 33(6):494–503. https://doi.org/10.1016/j.braindev.2010.11.007
Phan P, Highton D, Lai J, Smith M, Elwell C, Tachtsidis I (2016) Multi-channel multi-distance broadband near- infrared spectroscopy system to measure the spatial response of cellular oxygen metabolism and tissue oxygenation. Biomed Opt Express 7(4424). https://doi.org/10.1364/BOE.7.004424
Siddiqui MF, Lloyd-Fox S, Kaynezhad P, Tachtsidis I, Johnson MH, Elwell CE (2017) Non-invasive measurement of a metabolic marker of infant brain function. Sci Rep 7(1). https://doi.org/10.1038/s41598-017-01394-z
Pinti P, Siddiqui MF, Levy AD, Jones EJH, Tachtsidis I (2021) An analysis framework for the integration of broadband NIRS and EEG to assess neurovascular and neurometabolic coupling. Sci Rep. https://doi.org/10.1038/s41598-021-83420-9
Bainbridge A et al (2014) Brain mitochondrial oxidative metabolism during and after cerebral hypoxia-ischemia studied by simultaneous phosphorus magnetic-resonance and broadband near-infrared spectroscopy. NeuroImage 102(P1):173–183. https://doi.org/10.1016/j.neuroimage.2013.08.016
Collins-Jones LH et al (2021) Longitudinal infant fNIRS channel-space analyses are robust to variability parameters at the group-level: an image reconstruction investigation. Neuroimage:118068. https://doi.org/10.1016/j.neuroimage.2021.118068
Brigadoi S et al (2017) Image reconstruction of oxidized cerebral cytochrome C oxidase changes from broadband near-infrared spectroscopy data. Neurophotonics. https://doi.org/10.1117/1.NPh.4.2.021105
Lloyd-Fox S, Richards JE, Blasi A, Murphy DGM, Elwell CE, Johnson MH (2014) Coregistering functional near-infrared spectroscopy with underlying cortical areas in infants. Neurophotonics 1(2):025006. https://doi.org/10.1117/1.NPh.1.2.025006
Lloyd-Fox S, Blasi A, Volein A, Everdell N, Elwell CE, Johnson MH (2009) Social perception in infancy: a near infrared spectroscopy study. Child Dev. 80(4):986–999. https://doi.org/10.1111/j.1467-8624.2009.01312.x
Duncan A et al (1995) Optical pathlength measurements on adult head, calf and forearm and the head of the newborn infant using phase resolved optical spectroscopy. Phys Med Biol 40(2):295. [Online]. Available: http://stacks.iop.org/0031-9155/40/i=2/a=007
Fang Q, Boas DA (2009) Tetrahedral mesh generation from volumetric binary and grayscale images. https://doi.org/10.1109/ISBI.2009.5193259
Corlu A et al (2005) Diffuse optical tomography with spectral constraints and wavelength optimization. Appl Opt. https://doi.org/10.1364/AO.44.002082
Schweiger M, Arridge S (2014) The Toast++ software suite for forward and inverse modeling in optical tomography. J Biomed Opt. https://doi.org/10.1117/1.jbo.19.4.040801
Bevilacqua F, Piguet D, Marquet P, Gross JD, Tromberg BJ, Depeursinge C (1999) In vivo local determination of tissue optical properties: applications to human brain. Appl Opt. https://doi.org/10.1364/ao.38.004939
Strangman G, Culver JP, Thompson JH, Boas DA (2002) A quantitative comparison of simultaneous BOLD fMRI and NIRS recordings during functional brain activation. Neuroimage 17(2):719–731. https://doi.org/10.1016/S1053-8119(02)91227-9
Custo A, Wells WM, Barnett AH, Hillman EMC, Boas DA (2006) Effective scattering coefficient of the cerebral spinal fluid in adult head models for diffuse optical imaging. Appl Opt. https://doi.org/10.1364/AO.45.004747
Zhao J, Ding HS, Hou XL, Le Zhou C, Chance B (2005) In vivo determination of the optical properties of infant brain using frequency-domain near-infrared spectroscopy. J Biomed Opt. https://doi.org/10.1117/1.1891345
Franceschini MA et al (2007) Assessment of infant brain development with frequency-domain near-infrared spectroscopy. Pediatr Res. https://doi.org/10.1203/pdr.0b013e318045be99
Lloyd-Fox S, Blasi A, Elwell CE (2010) Illuminating the developing brain: the past, present and future of functional near infrared spectroscopy. Neurosci Biobehav Rev 34(3):269–284. https://doi.org/10.1016/j.neubiorev.2009.07.008
Siddiqui MF, Elwell CE, Johnson MH (2016) Mitochondrial dysfunction in autism spectrum disorders. Autism Open-Access 6(5):1000190
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Siddiqui, M.F. et al. (2022). Imaging Cerebral Energy Metabolism in Healthy Infants. In: Scholkmann, F., LaManna, J., Wolf, U. (eds) Oxygen Transport to Tissue XLIII. Advances in Experimental Medicine and Biology, vol 1395. Springer, Cham. https://doi.org/10.1007/978-3-031-14190-4_2
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