S1 to S2 hind- and forelimb projections in the agouti somatosensory cortex: Axon fragments morphological analysis

Santiago, Lucídia Fonseca; Rocha, Emiliana G.; Santos, Carmem Lúcia; Pereira, Antônio; Franca, João G.

doi:10.1016/j.jchemneu.2010.09.005

Cited by 8 publications

(8 citation statements)

References 34 publications

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“…Our recordings indicated that this transitional region was responsive to different sensory modalities. In the region separating the anterior pole of areas V1 and V2 from S1 (putative area Pm) we recorded neurons responsive to both visual and somatosensory stimulation (see Santiago et al, ). Additionally, in the more caudal and posterior parts of this field (putative area Ti), visual and auditory responses were also simultaneously elicited in some sites (see below).…”

Section: Resultsmentioning

confidence: 99%

“…In this report, we provide the first description of the architecture of the agouti somatosensory cortex. Previous work on this species focused either on electrophysiological mapping of somatosensory representations (Pimentel‐Souza et al, ) or on the analysis of the fine neuroanatomy of corticocortical connections originating in this region (Rocha et al, ; Santiago et al, ). As is typical of S1 in other species (Kaas, 1983), area S1 in the agouti was characterized by the presence of a well‐developed layer 4, more intense myelination, and higher CO‐reactivity than adjacent regions.…”

Section: Discussionmentioning

confidence: 99%

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Topography and architecture of visual and somatosensory areas of the agouti

Dias

Bahia

Franca

et al. 2014

J of Comparative Neurology

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We analyzed the organization of the somatosensory and visual cortices of the agouti, a diurnal rodent with a relatively big brain, using a combination of multiunit microelectrode recordings and histological techniques including myelin and cytochrome oxidase staining. We found multiple representations of the sensory periphery in the parietal, temporal, and occipital lobes. While the agouti's primary (V1) and secondary visual areas seemed to lack any obvious modular arrangement, such as blobs or stripes, which are found in some primates and carnivores, the primary somatosensory area (S1) was internally subdivided in discrete regions, isomorphically associated with peripheral structures. Our results confirm and extend previous reports on this species, and provide additional data to understand how variations in lifestyle can influence brain organization in rodents.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Topography and architecture of visual and somatosensory areas of the agouti

Dias

Bahia

Franca

et al. 2014

J of Comparative Neurology

Self Cite

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“…At λ = 0.999, the side branches are matched to each other and they smoothly deform into one another. The first two plots are trees from [15] -one with three side branches and one with two. On the right, the array of ten plots is a geodesic between the two trees using λ = 0.999.…”

Section: Resultsmentioning

confidence: 99%

Geometric Analysis of Axonal Tree Structures

Duncan¹,

Klassen²,

Descombes³

et al. 2015

Procedings of the Proceedings of the 1st International Workshop on DIFFerential Geometry in Computer Vision for Analysis of Sha

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This paper develops a framework for shape analysis of tree-like structures with the following common features: (1) a main branch viewed as a parameterized curve in R 3 , and (2) a random number of secondary branches, each one of them a parameterized curve in R 3 , emanating from the main branch at arbitrary points. In this framework, comparisons of objects is based on shapes-scales-orientations of the curves involved, and locations and number of the side branches. The objects are represented as composite curves made up of: a main branch and a continuum of side branches along the main branch with each branch being a curve in R 3 itself (including the null curve, or zero curve). Extending the previous work on elastic shape analysis of Euclidean curves, the space of these composite curves is endowed with a natural Riemannian metric, using the SRVF representation, and one computes geodesic paths in the quotient space of this representation modulo the re-parameterization function. As a result, appropriate geometric structures are optimally matched across trees, and geodesic paths show deformations of main branches into each other while either deforming/sliding/creating/destroying the side branches. We present some preliminary results using axonal trees taken from the Neuromorpho database.

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“…Glickfeld and Scanziani 2006; Yu et al 2013). Reconstructions of axonal fragments (Santiago et al 2010) or limited to the initial portion of the axonal arbor (e.g. Kole et al 2004) were marked as ‘incomplete’.…”

Section: Completeness Of Digital Reconstructions In Neuromorphoorgmentioning

confidence: 99%

The importance of metadata to assess information content in digital reconstructions of neuronal morphology

2015

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Digital reconstructions of axonal and dendritic arbors provide a powerful representation of neuronal morphology in formats amenable to quantitative analysis, computational modeling, and data mining. Reconstructed files, however, require adequate metadata to identify the appropriate animal species, developmental stage, brain region, and neuron type. Moreover, experimental details about tissue processing, neurite visualization and microscopic imaging are essential to assess the information content of digital morphologies. Typical morphological reconstructions only partially capture the underlying biological reality. Tracings are often limited to certain domains (e.g. dendrites and not axons), may be incomplete due to tissue sectioning, imperfect staining, and limited imaging resolution, or can disregard aspects irrelevant to their specific scientific focus (such as branch thickness or depth). Gauging these factors is critical in subsequent data reuse and comparison. NeuroMorpho.Org is a central repository of reconstructions from many laboratories and experimental conditions. Here we introduce substantial additions to the existing metadata annotation aimed to describe the completeness of the reconstructed neurons in NeuroMorpho.Org. These expanded metadata form a suitable basis for effective description of neuromorphological data.

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S1 to S2 hind- and forelimb projections in the agouti somatosensory cortex: Axon fragments morphological analysis

Cited by 8 publications

References 34 publications

Topography and architecture of visual and somatosensory areas of the agouti

Topography and architecture of visual and somatosensory areas of the agouti

Geometric Analysis of Axonal Tree Structures

The importance of metadata to assess information content in digital reconstructions of neuronal morphology

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