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      Label-free photoacoustic computed tomography of visually evoked responses in the primary visual cortex and four subcortical retinorecipient nuclei of anesthetized mice

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          Abstract.

          Significance

          Many techniques exist for screening retinal phenotypes in mouse models in vision research, but significant challenges remain for efficiently probing higher visual centers of the brain. Photoacoustic computed tomography (PACT), with optical sensitivity to hemodynamic response (HR) in brain and ultrasound resolution, provides unique advantages in comprehensively assessing higher visual function in the mouse brain.

          Aim

          We aim to examine the reliability of PACT in the functional phenotyping of mouse models for vision research.

          Approach

          A PACT-ultrasound (US) parallel imaging system was established with a one-dimensional (1D) US transducer array and a tunable laser. Imaging was performed at three coronal planes of the brain, covering the primary visual cortex and the four subcortical nuclei, including the superior colliculus, the dorsal lateral geniculate nucleus, the suprachiasmatic nucleus, and the olivary pretectal nucleus. The visual-evoked HR was isolated from background signals using an impulse-based data processing protocol. rd1 mice with rod/cone degeneration, melanopsin-knockout (mel-KO) mice with photoreceptive ganglion cells that lack intrinsic photosensitivity, and wild-type mice as controls were imaged. The quantitative characteristics of the visual-evoked HR were compared.

          Results

          Quantitative analysis of the HRs shows significant differences among the three mouse strains: (1)  rd1 mice showed both smaller and slower responses compared with wild type ( n = 10,10 , p < 0.01 ) and (2) mel-KO mice had lower amplitude but not significantly delayed photoresponses than wild-type mice ( n = 10,10 , p < 0.01 ). These results agree with the known visual deficits of the mouse strains.

          Conclusions

          PACT demonstrated sufficient sensitivity to detecting post-retinal functional deficits.

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          Most cited references57

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          Photoacoustic tomography: in vivo imaging from organelles to organs.

          Photoacoustic tomography (PAT) can create multiscale multicontrast images of living biological structures ranging from organelles to organs. This emerging technology overcomes the high degree of scattering of optical photons in biological tissue by making use of the photoacoustic effect. Light absorption by molecules creates a thermally induced pressure jump that launches ultrasonic waves, which are received by acoustic detectors to form images. Different implementations of PAT allow the spatial resolution to be scaled with the desired imaging depth in tissue while a high depth-to-resolution ratio is maintained. As a rule of thumb, the achievable spatial resolution is on the order of 1/200 of the desired imaging depth, which can reach up to 7 centimeters. PAT provides anatomical, functional, metabolic, molecular, and genetic contrasts of vasculature, hemodynamics, oxygen metabolism, biomarkers, and gene expression. We review the state of the art of PAT for both biological and clinical studies and discuss future prospects.
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            Phototransduction by retinal ganglion cells that set the circadian clock.

            Light synchronizes mammalian circadian rhythms with environmental time by modulating retinal input to the circadian pacemaker-the suprachiasmatic nucleus (SCN) of the hypothalamus. Such photic entrainment requires neither rods nor cones, the only known retinal photoreceptors. Here, we show that retinal ganglion cells innervating the SCN are intrinsically photosensitive. Unlike other ganglion cells, they depolarized in response to light even when all synaptic input from rods and cones was blocked. The sensitivity, spectral tuning, and slow kinetics of this light response matched those of the photic entrainment mechanism, suggesting that these ganglion cells may be the primary photoreceptors for this system.
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              A quantitative comparison of simultaneous BOLD fMRI and NIRS recordings during functional brain activation.

              Near-infrared spectroscopy (NIRS) has been used to noninvasively monitor adult human brain function in a wide variety of tasks. While rough spatial correspondences with maps generated from functional magnetic resonance imaging (fMRI) have been found in such experiments, the amplitude correspondences between the two recording modalities have not been fully characterized. To do so, we simultaneously acquired NIRS and blood-oxygenation level-dependent (BOLD) fMRI data and compared Delta(1/BOLD) (approximately R(2)(*)) to changes in oxyhemoglobin, deoxyhemoglobin, and total hemoglobin concentrations derived from the NIRS data from subjects performing a simple motor task. We expected the correlation with deoxyhemoglobin to be strongest, due to the causal relation between changes in deoxyhemoglobin concentrations and BOLD signal. Instead we found highly variable correlations, suggesting the need to account for individual subject differences in our NIRS calculations. We argue that the variability resulted from systematic errors associated with each of the signals, including: (1) partial volume errors due to focal concentration changes, (2) wavelength dependence of this partial volume effect, (3) tissue model errors, and (4) possible spatial incongruence between oxy- and deoxyhemoglobin concentration changes. After such effects were accounted for, strong correlations were found between fMRI changes and all optical measures, with oxyhemoglobin providing the strongest correlation. Importantly, this finding held even when including scalp, skull, and inactive brain tissue in the average BOLD signal. This may reflect, at least in part, the superior contrast-to-noise ratio for oxyhemoglobin relative to deoxyhemoglobin (from optical measurements), rather than physiology related to BOLD signal interpretation.
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                Author and article information

                Contributors
                Journal
                Neurophotonics
                Neurophotonics
                NEUROW
                NPh
                Neurophotonics
                Society of Photo-Optical Instrumentation Engineers
                2329-423X
                2329-4248
                30 July 2024
                July 2024
                30 July 2024
                : 11
                : 3
                : 035005
                Affiliations
                [a ]University of Michigan , Department of Biomedical Engineering, Ann Arbor, Michigan, United States
                [b ]University of Michigan , Department of Radiology, Ann Arbor, Michigan, United States
                [c ]University of Michigan , Department of Ophthalmology and Visual Sciences, Ann Arbor, Michigan, United States
                [d ]University of Michigan , Department of Molecular, Cellular and Developmental Biology, Ann Arbor, Michigan, United States
                Author notes
                [* ]Address all correspondence to Guan Xu, guanx@ 123456umich.edu
                Author information
                https://orcid.org/0000-0003-4432-2346
                https://orcid.org/0000-0001-9279-7827
                Article
                NPH-24029GR 24029GR
                10.1117/1.NPh.11.3.035005
                11286379
                39081284
                91287f8d-5495-4e45-96cc-0a18a7c1181f
                © 2024 The Authors

                Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

                History
                : 12 April 2024
                : 17 June 2024
                : 2 July 2024
                Page count
                Figures: 6, Tables: 0, References: 57, Pages: 10
                Funding
                Funded by: National Institute of Health
                Award ID: R37CA222829
                Award ID: R01DK125687
                Award ID: 5P30EY007003
                Funded by: University of Michigan
                Categories
                Research Papers
                Paper
                Custom metadata
                Chang et al.: Label-free photoacoustic computed tomography of visually evoked…

                photoacoustic computed tomography,retinal photostimulation,hemodynamic response,photoreceptor degeneration,melanopsin

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