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Tracts, Optic

Tracts, Optic: The optic tracts are the neural pathways that transmit visual information from the retina to the brain.
These bundles of nerve fibers carry signals from the retina to the lateral geniculate nucleus, the primary relay station for visual information in the thalamus.
The optic tracts are crucial for visual processing and play a key role in various visual functions, such as visual acuity, color vision, and depth perception.
Studying the optic tracts is importnat for understanding the neurological basis of vision and diagnosing visual disorders.

Most cited protocols related to «Tracts, Optic»

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Publication 2008
Brain Brain Stem Homo sapiens Microtubule-Associated Proteins Monkeys Optic Chiasms Pons Primates Tissues Tracts, Optic White Matter
For each subject, the dynamically acquired PET image frames were mutually coregistered to each other and to the individual's MPRAGE image using a novel method with low measured error (see Supporting Information). MPRAGE atlas transformation was computed by 12-parameter affine registration to a target image representing Talairach atlas space (Talairach and Tournoux, 1988 ) as defined by the “SN” method of Lancaster et al. (1995) . The atlas transformation for each PET frame then was computed by composition of transforms (frame→MPRAGE × MPRAGE→atlas) and the PET data were resampled to (2mm)3 atlas space (Hershey et al., 2003 (link)).
For each subject, we created an image of decay-corrected PET activity summed from 60-120 minutes after [18F]NMB injection, normalized to the mean in whole cerebellum. These images were averaged across subjects to create a composite image of averaged NMB activity during this time. Using a peak-finding algorithm, we identified regions of peak activity in the composite image mandating that local peak voxels must be separated by at least 6mm (3 voxels) and accepting only peaks that were at least 20% higher in intensity than the normalized cerebellar reference region. These parameters increased certainty that the generated list of peak regions were reasonably independent of each other. We identified anatomic labels for the peaks using the Talairach Client software (www.talairach.org) (Lancaster et al., 1997 (link), 2000 (link); Talairach and Tournoux, 1988 ). Peak regions of radioactivity were interpreted to indicate increased D2R specific binding, assuming constant non-specific uptake across the brain.
As a complementary approach, D2R binding (BPND) was quantified in a priori defined ROIs. The neuroimaging software Freesurfer (http://surfer.nmr.mgh.harvard.edu/) was used for segmentation of subcortical deep nuclei, frontal and temporal cortical regions, and cerebellum on individual MRs. Caudate, putamen, nucleus accumbens (NAc), thalamus, amygdala, hippocampus, various temporal and frontal cortical regions and cerebellum were identified. The cerebellum region included all gray and white matter of both hemispheres. The hypothalamus and midbrain regions were manually traced on individual MPRAGEs and added to this group of a priori ROIs. The hypothalamus was continuously traced, beginning where the optic tract merged with the optic chiasm and ending where pons was absent but mammillary bodies were present on coronal slices. The midbrain was traced on axial slices at the level of the superior colliculus, ventral to corticospinal and corticobulbar tracts and dorsally to the raphe nuclei and included substantia nigra and red nucleus regions. We eroded several structures to minimize partial volume effects on the regional PET measurements of radioactivity. For the caudate, putamen, thalamus and hippocampus regions, we combined a gaussian smoothing filter with thresholding to erode approximately one voxel from the surface of the original region. For the amygdala, we eroded one voxel from the edge on each axial slice. In this way, approximately 2 mm was removed from the surface of ROIs (Figure 1). Hypothalamus, substantia nigra, nucleus accumbens, frontal and temporal cortical ROIs were not large or thick enough to erode in this manner.
The Freesurfer- and manually defined ROIs and the cerebellar reference region were resampled in atlas space and decay-corrected tissue activity curves were extracted for each subject from the dynamic PET data. BPND was calculated for each ROI.
Publication 2012
Amygdaloid Body Brain Cell Nucleus Cerebellum Cortex, Cerebral Corticobulbar Tracts Hypothalamus Lobe, Frontal Mammillary Bodies Mesencephalon Neostriatum Nucleus Accumbens Optic Chiasms Pons Radioactivity Raphe Nuclei Reading Frames Red Nucleus Seahorses Substantia Nigra Tectum, Optic Temporal Lobe Thalamus Tissues Tracts, Optic White Matter
Sonications were applied transcranially under MRI guidance (see Supplementary Methods for parameters). In monkeys 1–3 (four sessions), burst sonications were delivered to individual points in the brain (35 targets overall). In the subsequent 26 sessions (monkeys 4–7), nine locations in a 3×3 grid in a single plane were targeted during each sonication (Supplementary Fig. S1B–C). During these volumetric sonications, 10 ms bursts were applied in sequence to the nine locations. The focal point was advanced to the next location every 100–400 ms, yielding an effective pulse repletion frequency at each location of 1.1–0.28 Hz. Spacing between the targets in these volumetric sonications was 2 mm, yielding a roughly cubic region of BBB disruption with dimensions of ~1 cm3.
Overall, 185 locations or volumes were sonicated in the seven monkeys. In monkeys 1–4, a range of acoustic power levels, microbubble injection/infusion parameters and brain targets were evaluated. Targets included the thalamus, putamen, cingulate cortex, visual cortex, hippocampus, and white matter structures. Sonications centered on the lateral geniculate nucleus (LGN) included the hippocampus and part of the optic tract. The third animal was tested twice over two weeks, and the fourth was tested 13 times over 26 weeks.
In the trials that targeted single locations per sonication and in 45 volumetric sonications, the microbubble USCA (Definity, Lantheus Medical Imaging) was injected as a bolus at the start of each sonication (dose: 10 µl/kg). These sonications consisted of 10 ms bursts applied at 1 Hz for 70s. Subsequent tests at 82 locations with volumetric sonication used an infusion pump (Spectra Solaris EP, Medrad) to deliver microbubbles throughout the exposures. Most (67/82) sonications with infusion used a 20 µl/kg microbubble dose and a 150 s total sonication duration; see Supplemental Methods for more details on the infusion protocol.
Publication 2012
Acoustics Animals Brain Cingulate Cortex Cuboid Bone Infusion Pump Lateral Geniculate Body Microbubbles Monkeys Pulse Rate Putamen Seahorses Thalamus Tracts, Optic Visual Cortex White Matter

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Publication 2019
Eye Fibrosis Lateral Geniculate Body Optic Chiasms Prescriptions Radiotherapy Tracts, Optic White Matter
Tipless silicon cantilevers (Arrow-TL1; NanoWorld, Switzerland) were mounted on a JPK Nanowizard Cellhesion 200 (JPK Instruments AG, Germany), which was set up on a x/y-motorized stage of an inverted optical microscope (Axio ObserverA1, Zeiss, UK). Cantilever spring constants were determined via the thermal noise method52 and cantilevers with spring constants between 0.01 and 0.03 N/m selected. Monodisperse polystyrene beads (diameter: (37.28 ±0.34) µm; microParticles GmbH, Germany) were glued to the cantilevers as probes53 (link),54 (link).
Xenopus embryos were anesthetized and one hemisphere of the intact brain exposed by removing skin and dura as described in Chien et al.48 (link) (Fig. 2a). Embryos were then transferred to a Petri dish onto the motorized stage, and immobilized using a harp slice grid (ALA Scientific, NY, USA). Epifluorescence and bright field images were taken to identify the OT. On the exposed brains, the region containing the OT was selected. Images of the upper right and lower left corners of the selected region were taken with a CCD camera (Imaging Source, UK) mounted on a TopViewOptics™ upright imaging system (JPK Instruments AG, Germany), to identify the region of the brain mapped by the AFM after data analysis. Force-distance curves (maximum indentation force: 7 nN, approach speed: 10 µm/s, Data rate: 1000 Hz) were taken every 20 or 25 µm apart in a raster scan using a custom-written script.
For local brain stiffening experiments, anaesthetised stage 35/36 Xenopus embryos with one brain hemisphere exposed as described above were transferred to 1.3x MR solution (composition: 1.3x MBS with 0.04% (w/v) MS222 and 1X P/S/F (pH 7.4); the higher osmolarity retards skin regrowth for the duration of the experiment.). Epifluorescence and bright field images were collected using a modified AxioZoom V.16 system (Zeiss, UK) connected to an Andor Zyla 4.2 CMOS camera to identify the position of the OT. To induce local strain stiffening at the mid-diencephalon, tipless silicon cantilevers (Shocon-TL; AppNano, CA, USA) with attached polystyrene beads of 89.3 µm diameter (microParticles GmbH, Germany) were used to apply a constant force of 30 nN to a region towards the front of the advancing OT. The force was applied for ∼6 hours at 25°C until embryos had reached stage ∼39. Controls were treated in the same way except for the AFM application. After removal of the cantilever, manipulated and control embryos were fixed in 4% PFA, and the optic tract labelled with DiI as described above for analysis.
Publication 2016
Brain Cardiac Arrest Cell-Derived Microparticles Cerebral Hemispheres Chronic multifocal osteomyelitis Diencephalon Dura Mater Embryo Hyperostosis, Diffuse Idiopathic Skeletal Light Microscopy Lobe, Frontal Osmolarity Polystyrenes Radionuclide Imaging Silicon Skin Strains Tracts, Optic Xenopus

Most recents protocols related to «Tracts, Optic»

As suggested by Puzniak et al. (2021) (link), to perform tractography of the visual system, the individual structures of optic chiasm, LGN, and V1 need to be provided at least. In our case, the locations of these structures were estimated automatedly as outlined above. To be specific, optic chiasm, LGN, and V1 were defined as the region with a label identifier of 85 from the aseg file, regions with label identifiers of 8,109 (L) and 8,209 (R) from the segmentation file of the thalamic nuclei, and the region with a label identifier of one from the threshold label file of V1, respectively. All these regions of interest were then transformed from fsaverage to native diffusion space through a two-step registration procedure. First, the segmentation files were registered to individual T1-weighted images through tkregister2. Next, the T1-weighted images were registered to individual FA images using a linear warping algorithm (Supplementary Figure 1).
All diffusion image preprocessing and fiber tracking were conducted using FMRIB Software Library (FSL v6.0).2 The preprocessing steps were consisted of correction of motion and eddy current distortion, brain extraction, and local fitting of diffusion tensors. Probabilistic tractography was performed by employing the FDT toolbox. To calculate the probability of fiber connections from optic chiasm to LGN (the optic tract) and from LGN to V1 (the optic radiations), the algorithm was run using default parameters: curvature threshold = 0.2 mm, maximum number of steps per sample = 2,000, length of each step = 0.5 mm, and number of sample tracts = 5,000. To limit cross-hemispheric fiber bundles, tractography was performed separately for the left and right hemisphere by applying the contralateral target as an exclusion mask. The mean diffusion values (FA, MD, DA, and RD) of the optic tract and optic radiation fiber tracts were then extracted.
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Publication 2023
Brain Diffusion DNA Library Eye Fibrosis Optic Chiasms Radiation Radiotherapy Thalamic Nuclei Tracts, Optic
Blood perfusion maps were automatically obtained using the default process by the dedicated workstation (IntelliSpace Portal Release v.7.0.4.20175, Philips), and the data were derived from the blood perfusion maps. The regions of interest (ROIs) derived from the retinal-choroidal complex, the intraorbital segments of the optic nerve, the tractus opticus, and the visual center (Figure 2) were drawn by a neurologist (10 years of experience) and an ophthalmologist (10 years of experience), respectively, and clinical information was reviewed in a blinded fashion. The specific location of the retina-choroid complex, the orbital segment of the optic nerve, the optic tract, and the visual center were based on T1 and T2 weighted images. The unified criteria for drawing ROIs were as follows: The ROIs were all subrounded. The area of ROI of the retinal-choroidal complex, the intraorbital segments of the optic nerve, and the tractus opticus were 0.3 cm2; the area of ROI of the gyrus lingual, the cuneus, and the occipital lobe was 2 cm2, and the average BF value was taken as the BF of the visual center. The relative BF (rBF) value was defined as rBF = affected BF/healthy BF (Muir and Duong, 2011 (link)). The results of the measurements were retrieved from the two observers and calculated as the average value.
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Publication 2023
BLOOD Choroid Lobules, Cuneate Microtubule-Associated Proteins Neurologists Occipital Lobe Ophthalmologists Optic Nerve Perfusion Retina Tongue Tracts, Optic
T1WI and DTI scanning were performed using a GE3.0T Optima MR360 imaging system with a head 16-channel phased-array coil. The T1WI scanning parameters were set as an axial 3D BRAVO sequence, 12.3/5.1 ms TR/TE, 256 × 256 matrix, 240 mm × 240 mm FOV, 1.4 mm layer thickness, 0 mm interval, and NEX 1. The DTI scanning parameters were set as a single-excitation DW-SE-EPI sequence, 9000/100.1 ms TR/TE, 128 × 128 matrix, 240 mm × 240 mm FOV, one acquisition, 25 diffusion-sensitive gradient directions, b value = 1000 s/mm2, layer thickness and layer spacing 2/0 mm, and axial scanning. The scanning results were presented in the form of a color-coded tensor FA graph and an ADC graph (Figure 2). In DTI data processing, these two graphs were set as green in the front and back directions, red in the left and right directions, and blue in the top and bottom directions. The anterior, middle, and posterior of the optic nerve, optic tract, and optic radiation, and the left, middle, and right of the optic chiasma were measured, analyzed, and recorded using the GE3.0 NMR machine software (ADW 4.2 Function Tool). Three regions of interest (ROIs) were selected at the clearest locations on the bilateral optic nerve, optic chiasma, bilateral optic tract, and optic radiation to measure the FA and ADC values. According to the classic neuroanatomical description and relevant literature (Li et al., 2019 (link)), the ROI was delineated and measured as an area of 8–12 mm2. In particular, when measuring an ultra-thin optic chiasm resulting from severe compression, FA and ADC signals were detected at the tumor edge, and the ROI became oval with a size of 8–12 mm2. To minimize measurement errors, image reconstruction and data measurement were performed by experienced physicians. The FA and ADC values of the optic nerve, optic chiasma, optic tract, and optic radiation were taken as the averages of the three ROIs.
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Publication 2023
Diffusion Eye Head Neoplasms Optic Chiasms Optic Nerve Physicians Radiotherapy Tracts, Optic
To electrically evoke postsynaptic retinogeniculate synaptic activity in vLGNe neurons, square-wave pulses (0–200 μA, 1 ms duration, 10 pulses of 1–50 Hz) were delivered through a tungsten bipolar microelectrode (FHC) positioned in the optic tract (OT) near the targeted structure (Govindaiah and Cox, 2009 (link); Hammer et al., 2014 (link); Sabbagh et al., 2021 (link)). For photoactivation of corticothalamic terminals we used a blue light (460 nm)-emitting diode (model UHP 460, Prizmatix), and for retinogeniculate terminals, a red one (630 nm) that were delivered through a 60× objective. This produced a spot of light at the preferred wavelength onto the submerged slice with an approximate diameter of 0.3 mm. Pulse duration and frequency were controlled using pClamp software (Molecular Devices). For repetitive stimulation, 1 ms pulses were delivered at different temporal frequencies (10 pulses of 1–20 Hz). Most of the experiments were performed using an intensity of 95–112 mW/mm2. In some cases (see Fig. 3F,G), where we examined the degree of corticothalamic convergence (see Fig. 3F), recordings were obtained by varying a single pulse of light at an intensity between 0% and 100% of maximal intensity (460 nm = 112 mW/mm2; 630 nm = 95 mW/mm2) in 10% incremental steps.
To examine the degree of retinal convergence (Fig. 2F) we generated EPSC amplitude by stimulus intensity plots (Seabrook et al., 2013 (link); Hammer et al., 2014 (link); Dilger et al., 2015 (link); Tschetter et al., 2018 (link)). These were constructed by first determining the minimum stimulus intensity (average +/– SD) needed to evoke a postsynaptic response for at least three of five trials (typically 2 SDs above rms value for peak-to-peak noise). Once determined, current intensity was increased in small increments (5 μA) until a response of maximal amplitude was consistently reached. For each stimulus intensity, three to five responses were obtained. To examine the degree of corticothalamic convergence (Fig. 3F), we adopted a similar protocol for the photoactivation of corticothalamic terminals, in which the intensity to a single pulse of blue light (1 ms) was increased in 10% increments.
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Publication 2023
Electricity Light Medical Devices Microelectrodes Neurons Pulse Rate Pulses Retina Tracts, Optic Tungsten
The synaptic responses evoked by electrical photostimulation were measured using pClamp software (Molecular Devices). The amplitude of EPSC was measured from baseline values just before optic tract and/or photostimulation. The average of three to five trials was taken for measurements for each condition. All traces reflect the averaged responses of individual trials. To examine the changes in the synaptic response to repetitive stimulation, the percentage change in the EPSC amplitude was calculated from the initial response. To determine the degree of synaptic depression, paired-pulse ratios (PPRs) were obtained by calculating the EPSC amplitude of the 2nd or 10th response and dividing by the amplitude of the initial EPSC. Summary graphs include individual data along with mean ± SEM values. Statistical tests and levels of significance are provided in the Results. All post hoc comparisons and levels of significance indicated by asterisks are listed in the figure legends.
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Publication 2023
Electricity Medical Devices Pulse Rate Tracts, Optic

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More about "Tracts, Optic"

Optic Pathways: The optic tracts are a crucial component of the visual system, transmitting visual information from the retina to the brain.
These neural pathways, also known as the optic nerves or visual pathways, are responsible for conveying signals that enable various visual functions, such as visual acuity, color perception, and depth recognition.
The optic tracts originate from the retina and project to the lateral geniculate nucleus (LGN) in the thalamus, which serves as the primary relay station for visual information.
From the LGN, the visual signals are then transmitted to the primary visual cortex (V1) in the occipital lobe, where further processing and interpretation of visual stimuli occur.
Studying the anatomy and physiology of the optic tracts is essential for understanding the neurological basis of vision and diagnosing visual disorders.
Techniques like immunohistochemistry, using markers like Anti-mouse Alexa564, Mouse anti-NeuN, and Mouse anti-MAP2, can provide insights into the cellular and molecular mechanisms underlying visual processing in the optic pathways.
Advanced imaging techniques, such as those offered by FV500, UltraVIEW VoX, and Zeiss Axioskop 2 epifluorescent microscopes, enable researchers to visualize and analyze the structure and function of the optic tracts in greater detail.
Additionally, molecular biology tools like the RNeasy Mini Kit and Extracta DNA Prep can be utilized to investigate the genetic and molecular factors that influence the development and function of the optic tracts.
By leveraging these research tools and techniques, scientists can gain a deeper understanding of the optic tracts and their role in visual perception, ultimately contributing to the diagnosis and treatment of visual disorders.
The VT1000S and VT1200S devices, for example, can be used to assess visual acuity and other visual functions, providing valuable insights into the performance of the optic pathways.