scholarly journals Cortical and thalamic connectivity of occipital visual cortical areas 17, 18, 19 and 21 of the domestic ferret (Mustela putorius furo).

2018 ◽  
Author(s):  
Leigh-Anne Dell ◽  
Giorgio M Innocenti ◽  
Claus C Hilgetag ◽  
Paul R Manger
Keyword(s):  
Brain Connectivity ◽  
Dorsal Stream ◽  
Mustela Putorius ◽  
Cortical Connectivity ◽  
Ipsilateral Hemisphere ◽  
Dorsal Thalamus ◽  
Visual Thalamus ◽  
Cortical Areas ◽  
Visual Areas ◽  
Visual Cortical

The present study describes the ipsilateral and contralateral cortico-cortical and cortico-thalamic connectivity of the occipital visual areas 17,18, 19 and 21 in the ferret using standard anatomical tract-tracing methods. In line with previous studies of mammalian visual cortex connectivity, substantially more anterograde and retrograde label was present in the hemisphere ipsilateral to the injection site compared to the contralateral hemisphere. Ipsilateral reciprocal connectivity was the strongest within the occipital visual areas, while weaker connectivity strength was observed in the temporal, suprasylvian and parietal visual areas. Callosal connectivity tended to be strongest in the homotopic cortical areas, and revealed a similar areal distribution to that observed in the ipsilateral hemisphere, although often less widespread across cortical areas. Ipsilateral reciprocal connectivity was observed throughout the visual nuclei of the dorsal thalamus, with no contralateral connections to the visual thalamus being observed. The current study, along with previous studies of connectivity in the cat, identified the posteromedial lateral suprasylvian visual area (PMLS) as a distinct network hub external to the occipital visual areas in carnivores, implicating PMLS as a potential gateway to the parietal cortex for dorsal stream processing. These data will also contribute to the Ferretome (www.ferretome.org), a macro connectome database of the ferret brain, providing essential data for connectomics analyses and cross-species analyses of connectomes and brain connectivity matrices, as well as providing data relevant to additional studies of cortical connectivity across mammals and the evolution of cortical connectivity variation.

scholarly journals Cortical and thalamic connectivity of temporal visual cortical areas 20a and 20b of the domestic ferret (Mustela putorius furo).

2018 ◽  
Author(s):  
Leigh-Anne Dell ◽  
Giorgio M Innocenti ◽  
Claus C Hilgetag ◽  
Paul R Manger
Keyword(s):  
Posterior Parietal Cortex ◽  
Network Connectivity ◽  
Temporal Region ◽  
Mustela Putorius ◽  
Dorsal Thalamus ◽  
Visual Thalamus ◽  
Species Analysis ◽  
Visual Areas ◽  
Posterior Parietal ◽  
Visual Cortical

The present study describes the ipsilateral and contralateral cortico-cortical and cortico-thalamic connectivity of the temporal visual areas 20a and 20b in the ferret using standard anatomical tract-tracing methods. The two temporal visual areas are strongly interconnected, but area 20a is primarily connected to the occipital visual areas, whereas area 20b maintains more widespread connections with the occipital, parietal and suprasylvian visual areas and the secondary auditory cortex. The callosal connectivity, although homotopic, consists mainly of very weak anterograde labelling which was more widespread in area 20a than area 20b. Although areas 20a and 20b are well connected with the visual dorsal thalamus, the injection into area 20a resulted in more anterograde label, whereas more retrograde label was observed in the visual thalamus following the injection into area 20b. Most interestingly, comparisons to previous connectional studies of cat areas 20a and 20b reveal a common pattern of connectivity of the temporal visual cortex in carnivores, where the posterior parietal cortex and the central temporal region (PMLS) provide network points required for dorsal and ventral stream interaction enroute to integration in the prefrontal cortex. This pattern of network connectivity is not dissimilar to that observed in primates, which highlights the ferret as a useful animal model to understand visual sensory integration between the dorsal and ventral streams. This data will contribute to the Ferretome (www.ferretome.org) to facilitate cross species analysis of brain connectomes and wiring principles of the brain.

Location, architecture, and retinotopy of the anteromedial lateral suprasylvian visual area (AMLS) of the ferret (Mustela putorius)

2008 ◽  
Vol 25 (1) ◽  
pp. 27-37 ◽  
Author(s):  
PAUL R. MANGER ◽  
GERHARD ENGLER ◽  
CHRISTIAN K.E. MOLL ◽  
ANDREAS K. ENGEL
Keyword(s):  
Visual Area ◽  
Domestic Cat ◽  
Lower Visual Field ◽  
Mustela Putorius ◽  
Cortical Areas ◽  
Architectural Features ◽  
Visual Areas ◽  
Retinotopic Organization ◽  
Visual Cortical ◽  
Cortical Visual Areas

The present paper describes the results of architectural and electrophysiological mapping observations of the medial bank of the suprasylvian sulcus of the ferret immediately caudal to somatosensory regions. The aim was to determine if the ferret possessed a homologous cortical area to the anteromedial lateral suprasylvian visual area (AMLS) of the domestic cat. We studied the architectural features and visuotopic organization of a region that we now consider to be a homologue to the cat AMLS. This area showed a distinct architecture and retinotopic organization. The retinotopic map was complex in nature with a bias towards representation of the lower visual field. These features indicate that the region described here as AMLS in the ferret is indeed a direct homologue of the previously described cat AMLS and forms part of a hierarchy of cortical areas processing motion in the ferret visual cortex. With the results of the present study and those of earlier studies a total of twelve cortical visual areas have been determined presently for the ferret, all of which appear to have direct homologues with visual cortical areas in the cat (which has a total of eighteen areas).

scholarly journals Cortical and thalamic connectivity of posterior parietal visual cortical areas PPc and PPr of the domestic ferret (Mustela putorius furo).

2018 ◽  
Author(s):  
Leigh-Anne Dell ◽  
Giorgio M Innocenti ◽  
Claus C Hilgetag ◽  
Paul R Manger
Keyword(s):  
Parietal Cortex ◽  
Posterior Parietal Cortex ◽  
Mustela Putorius ◽  
Dorsal Thalamus ◽  
Area 7 ◽  
Model Animal ◽  
Visual Areas ◽  
Posterior Parietal ◽  
Visual Cortical ◽  
And Function

The present study describes the ipsilateral and contralateral cortico-cortical and cortico-thalamic connectivity of the parietal visual areas PPc and PPr in the ferret using standard anatomical tract-tracing methods. The two divisions of posterior parietal cortex of the ferret are strongly interconnected, however area PPc shows stronger connectivity with the occipital and suprasylvian visual cortex, while area PPr shows stronger connectivity with the somatomotor cortex, reflecting the functional specificity of these two areas. This pattern of connectivity is mirrored in the contralateral callosal connections. In addition, PPc and PPr are connected with the visual and somatomotor nuclei of the dorsal thalamus. Numerous connectional similarities exist between the posterior parietal cortex of the ferret (PPc and PPr) and the cat (area 7 and 5), indicative of the homology of these areas within the Carnivora. These findings highlight the existence of a fronto-parietal network as a shared feature of the organization of parietal cortex across Euarchontoglires and Laurasiatherians, with the degree of expression varying in relation to the expansion and areal complexity of the posterior parietal cortex. This observation indicates that the ferret is a potentially valuable experimental model animal for understanding the evolution and function of the posterior parietal cortex and the fronto-parietal network across mammals. The data generated will also contribute to the Ferretome (www.ferretome.org) connectomics databank, to further cross-species analyses of connectomes and illuminate wiring principles of cortical connectivity across mammals.

Neural Mechanisms of Spatial Attention in the Visual Thalamus

2014 ◽  
Author(s):  
Yuri B. Saalmann ◽  
Sabine Kastner
Keyword(s):  
Selective Attention ◽  
Visual Information ◽  
Thalamic Nucleus ◽  
Sensory Information ◽  
Relevant Information ◽  
Neural Mechanisms ◽  
First Order ◽  
Visual Thalamus ◽  
Cortical Areas ◽  
Visual Cortical

Neural mechanisms of selective attention route behaviourally relevant information through brain networks for detailed processing. These attention mechanisms are classically viewed as being solely implemented in the cortex, relegating the thalamus to a passive relay of sensory information. However, this passive view of the thalamus is being revised in light of recent studies supporting an important role for the thalamus in selective attention. Evidence suggests that the first-order thalamic nucleus, the lateral geniculate nucleus, regulates the visual information transmitted from the retina to visual cortex, while the higher-order thalamic nucleus, the pulvinar, regulates information transmission between visual cortical areas, according to attentional demands. This chapter discusses how modulation of thalamic responses, switching the response mode of thalamic neurons, and changes in neural synchrony across thalamo-cortical networks contribute to selective attention.

scholarly journals Biological variation in the sizes, shapes and locations of visual cortical areas in the mouse

2018 ◽  
Author(s):  
Jack Waters ◽  
Eric Lee ◽  
Nathalie Gaudreault ◽  
Fiona Griffin ◽  
Jerome Lecoq ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Visual Information ◽  
Biological Variation ◽  
Measurement Noise ◽  
Cortical Areas ◽  
Retinotopic Maps ◽  
Visual Areas ◽  
Visual Cortical ◽  
Cortical Visual Areas ◽  
Processing Of Visual Information

ABSTRACTVisual cortex is organized into discrete sub-regions or areas that are arranged into a hierarchy and serve different functions in the processing of visual information. In our previous work, we noted that retinotopic maps of cortical visual areas differed between mice, but did not quantify these differences or determine the relative contributions of biological variation and measurement noise. Here we quantify the biological variation in the size, shape and locations of 11 visual areas in the mouse. We find that there is substantial biological variation in the sizes of visual areas, with some visual areas varying in size by two-fold across the population of mice.

scholarly journals Cortical and thalamic connectivity of temporal visual cortical areas 20a and 20b of the domestic ferret ( Mustela putorius furo )

2019 ◽  
Vol 527 (8) ◽  
pp. 1333-1347 ◽  
Author(s):  
Leigh‐Anne Dell ◽  
Giorgio M. Innocenti ◽  
Claus C. Hilgetag ◽  
Paul R. Manger
Keyword(s):  
Mustela Putorius ◽  
Cortical Areas ◽  
Visual Cortical ◽  
Mustela Putorius Furo

scholarly journals Mouse higher visual areas provide both distributed and discrete contributions to visually guided behaviors

2020 ◽  
Author(s):  
Miaomiao Jin ◽  
Lindsey L. Glickfeld
Keyword(s):  
Orientation Discrimination ◽  
Visually Guided ◽  
Begging The Question ◽  
Distributed Representations ◽  
Cortical Areas ◽  
Contrast Detection ◽  
Visual Areas ◽  
Visual Cortical ◽  
Higher Visual Areas ◽  
Distinct Role

SummaryCortical parallel processing streams segregate many diverse features of a sensory scene. However, some features are distributed across streams, begging the question of whether and how such distributed representations contribute to perception. We determined the necessity of primary visual cortex (V1) and three key higher visual areas (LM, AL and PM) for perception of orientation and contrast, two features that are robustly encoded across all four areas. Suppressing V1, LM or AL decreased sensitivity for both orientation discrimination and contrast detection, consistent with a role for these areas in sensory perception. In comparison, suppressing PM selectively increased false alarm rates during contrast detection, without any effect on orientation discrimination. This effect was not retinotopically-specific, suggesting a distinct role for PM in the regulation of noise during decision-making. Thus, we find that distributed representations in the visual system can nonetheless support specialized perceptual roles for higher visual cortical areas.

scholarly journals Reversed depth in anti-correlated random dot stereograms and central-peripheral difference in visual inference

2017 ◽  
Author(s):  
Li Zhaoping ◽  
Joelle Ackermann
Keyword(s):  
Great Difficulty ◽  
Black Dot ◽  
Black And White ◽  
Cortical Areas ◽  
Visual Areas ◽  
Random Dot Stereograms ◽  
Monocular Image ◽  
Random Dot Stereogram ◽  
Visual Cortical ◽  
Higher Visual Areas

1AbstractTwo images of random black and white dots, one for each eye, can represent object surfaces in a threedimensional scene when the dots correspond interocularly in a random dot stereogram (RDS). The spatial disparities between the corresponding dots represent depths of object surfaces. If the dots become anti-correlated such that a black dot in one monocular image corresponds to a white dot in the other, disparity-tuned neurons in the primary visual cortex (V1) respond as if their preferred disparities become non-preferred and vice versa, thereby reversing the disparity signs reported to higher visual areas. Humans have great difficulty perceiving the reversed depth, or any depth at all, in anti-correlated RDSs. We report that the reversed depth is more easily perceived when the RDSs are viewed in peripheral visual field, supporting a recently proposed central-peripheral dichotomy in mechanisms of feedback from higher to lower visual cortical areas for visual inference.

Interocular Transfer of Expansion, Rotation, and Translation Motion Aftereffects

Perception ◽  
1994 ◽  
Vol 23 (10) ◽  
pp. 1197-1202 ◽  
Author(s):  
Vicki Steiner ◽  
Randolph Blake ◽  
David Rose
Keyword(s):  
Interocular Transfer ◽  
Motion Aftereffect ◽  
Cortical Areas ◽  
Visual Areas ◽  
Translation Motion ◽  
Random Dot Patterns ◽  
Visual Cortical ◽  
Almost All ◽  
Motion Aftereffects ◽  
Higher Visual Areas

The motion aftereffect demonstrates the existence of direction-selective mechanisms in the visual system. However, direction-selective cells exist within many visual areas, including V1 and MT/V5. Can motion aftereffects be generated within each of these areas? In visual cortical areas beyond V1 almost all cells are binocular, whereas a smaller percentage are binocular in V1. The degree of binocularity can be revealed psychophysically by assessing interocular transfer. Interocular transfer of motion aftereffects generated from expanding, rotating, and translating dynamic random-dot patterns were therefore compared, since these stimuli should activate cells in higher visual areas selectively. Partial interocular transfer was found that was greater for expansion and rotation than for translation. The results support the involvement of higher visual areas in motion aftereffects to complex animation sequences.

scholarly journals Distributed and Retinotopically Asymmetric Processing of Coherent Motion in Mouse Visual Cortex

2019 ◽  
Author(s):  
Kevin K. Sit ◽  
Michael J. Goard
Keyword(s):  
Visual Cortex ◽  
Visual Motion ◽  
Dorsal Stream ◽  
Coherent Motion ◽  
Motion Processing ◽  
Calcium Indicator ◽  
Mouse Cortex ◽  
Visual Areas ◽  
Cortical Regions ◽  
Visual Cortical

ABSTRACTPerception of visual motion is important for a range of ethological behaviors in mammals. In primates, specific higher visual cortical regions are specialized for processing of coherent visual motion. However, the distribution of motion processing among visual cortical areas in mice is unclear, despite the powerful genetic tools available for measuring population neural activity. Here, we used widefield and 2-photon calcium imaging of transgenic mice expressing a calcium indicator in excitatory neurons to measure mesoscale and cellular responses to coherent motion across the visual cortex. Imaging of primary visual cortex (V1) and several higher visual areas (HVAs) during presentation of natural movies and random dot kinematograms (RDKs) revealed heterogeneous responses to coherent motion. Although coherent motion responses were observed throughout visual cortex, particular HVAs in the putative dorsal stream (PM, AL, AM) exhibited stronger responses than ventral stream areas (LM and LI). Moreover, beyond the differences between visual areas, there was considerable heterogeneity within each visual area. Individual visual areas exhibited an asymmetry across the vertical retinotopic axis (visual elevation), such that neurons representing the inferior visual field exhibited greater responses to coherent motion. These results indicate that processing of visual motion in mouse cortex is distributed unevenly across visual areas and exhibits a spatial bias within areas, potentially to support processing of optic flow during spatial navigation.

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