The anatomical organization of the visual system of the rabbit

Giolli, Roland A.; Pope, James E.

doi:10.1007/bf00142517

Cited by 23 publications

(3 citation statements)

References 70 publications

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“…Orientation maps are found in animals with large V1 areas such as macaques and cats but also in tree shrews. Moreover, although ferrets and rabbits have V1 areas of approximately the same size 26 , 27 (144 mm 3 ), only ferrets have orientation maps. We notice that all animals with orientation maps have extensive binocular visual fields and segregated eye inputs to visual cortex, either in the form of columns (e.g.…”

Section: Discussionmentioning

confidence: 99%

Columnar organization of spatial phase in visual cortex

et al. 2014

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Images are processed in the primary visual cortex by neurons that encode different stimulus orientations and spatial phases. In primates and carnivores, neighboring cortical neurons share similar orientation preferences but spatial phases were thought to be randomly distributed. Here we reveal a columnar organization for spatial phase in cats that shares resemblances with the columnar organization for orientation. For both orientation and phase, the mean difference across vertically aligned neurons was less than 1/4 of a cycle. Cortical neurons showed three times more diversity in phase than orientation preference, however, the average phase of local neuronal populations was similar through the depth of layer 4. We conclude that columnar organization for visual space is not only defined by the spatial location of the stimulus but also by absolute phase. Taken together with previous studies, our results suggest that this phase-visuotopy is responsible for the emergence of orientation maps.

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Section: Discussionmentioning

confidence: 99%

Columnar organization of spatial phase in visual cortex

et al. 2014

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“…Despite being small in size compared to other organs, the eye is one of the most complex organs in terms of diversity of cells and tissue organization [1,2]. About 38% of all nerve input received by the brain comes from the eyes [3].…”

Section: Introductionmentioning

confidence: 99%

Strategies to recover proteins from ocular tissues for proteomics

et al. 2008

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We present here the results of protein extraction from different ocular regions using different detergents. Extraction strategies used to determine optimal protein extraction included: pressure cycling and aqueous-organic phase extraction in combination with electrophoretic fractionation for anterior, posterior, and peripapillary sclera. Detergent extraction of proteins from freshly enucleated porcine eyes (n = 8) showed significant differences for different eye regions. Protein yield ranged from 2.3 to 50.7 mg protein/mg for different ocular tissues, with the lens yielding the most protein. ASB-14 and Triton X-100 provided the best protein yields (n = 10) for anterior and posterior sclera. The spectrophotometric measurements for ASB-14 were not consistent with SDS-PAGE densitometry. A combination of 0.5% Triton X-100, 0.5% Tween-20, and 0.1% Genapol C-100 was found optimal for extraction from sclera. Proteins from different regions of the eye are best extracted with different detergents. The pressure cycling technology provided superior extraction compared to the other methods. Additional aqueous-organic phase partitioning enables superior fractionation when compared to SDS-PAGE alone. Organic phase fractionation is compatible with MS and allowed identification of 34, 71, and 77 proteins respectively from anterior, posterior, and peripapillary sclera. The extraction strategy may affect the final outcome in protein profiling by MS or by other methods.

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“…Hence, the mass was postulated to be locating temporally to the ON. This supposition was based on two major reasons: (i) the vast majority (90–95%) of rabbit’s ON axons crosses to the contralateral hemisphere; 16,17 (ii) the orderly axonal projection of the retinal ganglion cells on visual cortex in rabbit with temporal fibers projecting on the lateral visual cortex, nasal fibers medially, upper fibers anteriorly, and lower fibers posteriorly 18,19 . Therefore, surgical removal of the intraorbital mass was planned to be performed on the patient.…”

Section: Latencies and Amplitudes Of 16‐channel Vep From Both Eyes (mentioning

confidence: 99%

Multi-channel visual evoked potential as an ancillary tool to diagnose intraorbital optic nerve lesions

Li¹,

Lu²,

Li³

et al. 2010

Veterinary Ophthalmology

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Multi-channel visual evoked potential (MVEP) recording method was used to assist in diagnosing a 4-month-old Chinese Albino rabbit with an intraorbital mass. Subcutaneous MVEP of its both eyes were recorded simultaneously using 16 electrodes (4 x 4) multi-channel array. Analysis of the cortical potential landscapes (CPL) showed that the conduction function of right eye was remarkably impaired in terms of decreased amplitudes and prolonged latencies. Specific side-dominant distribution asymmetry of the decreased MVEP amplitudes indicated that the temporal side of the optic nerve (ON) was severely involved. Overall prolonged latencies of the CPL without side differences suggested that the functional impairment could have been caused by the mechanical compression exerted by an intraorbital mass. Surgical removal procedures confirmed that the mass was located temporally to the ON. Pathological examination provided a final diagnosis of a giant polycystic mucocele. Beyond its significance as a standard tool to assess functional changes of the visual pathway, MVEP recordings might assist locating intraorbital lesions that involve the ON by careful analysis of abnormal CPLs.

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The anatomical organization of the visual system of the rabbit

Cited by 23 publications

References 70 publications

Columnar organization of spatial phase in visual cortex

Columnar organization of spatial phase in visual cortex

Strategies to recover proteins from ocular tissues for proteomics

Multi-channel visual evoked potential as an ancillary tool to diagnose intraorbital optic nerve lesions

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