FMST: an Automatic Neuron Tracing Method Based on Fast Marching and Minimum Spanning Tree
AbstractNeuron reconstruction is an important technique in computational neuroscience. Although there are many reconstruction algorithms, few can generate robust results. In this paper, we propose a reconstruction algorithm called fast marching spanning tree (FMST). FMST is based on a minimum spanning tree method (MST) and improve its performance in two aspects: faster implementation and no loss of small branches. The contributions of the proposed method are as follows. Firstly, the Euclidean distance weight of edges in MST is improved to be a more reasonable value, which is related to the probability of the existence of a...
Source: Neuroinformatics - July 23, 2018 Category: Neuroscience Source Type: research
Special Issue on High Performance Computing in Bio-medical Informatics
(Source: Neuroinformatics)
Source: Neuroinformatics - July 18, 2018 Category: Neuroscience Source Type: research
Towards Differential Connectomics with NeuroVIISAS
AbstractThe comparison of connectomes is an essential step to identify changes in structural and functional neuronal networks. However, the connectomes themselves as well as the comparisons of connectomes could be manifold. In most applications, comparisons of connectomes are applied to specific sets of data. In many studies collections of scripts are applied optimized for certain species (non-generic approaches) or diseases (control versus disease group connectomes). These collections of scripts have a limited functionality which do not support functional and topographic mappings of connectomes (hemispherical asymmetries,...
Source: Neuroinformatics - July 16, 2018 Category: Neuroscience Source Type: research
Morphological Neuron Classification Based on Dendritic Tree Hierarchy
AbstractThe shape of a neuron can reveal interesting properties about its function. Therefore, morphological neuron characterization can contribute to a better understanding of how the brain works. However, one of the great challenges of neuroanatomy is the definition of morphological properties that can be used for categorizing neurons. This paper proposes a new methodology for neuron morphological analysis by considering different hierarchies of the dendritic tree for characterizing and categorizing neuronal cells. The methodology consists in using different strategies for decomposing the dendritic tree along its hierarc...
Source: Neuroinformatics - July 14, 2018 Category: Neuroscience Source Type: research
A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain
AbstractThe squirrel monkey (Saimiri sciureus) is a commonly-used surrogate for humans in biomedical research. In the neuroimaging community, MRI and histological atlases serve as valuable resources for anatomical, physiological, and functional studies of the brain; however, no digital MRI/histology atlas is currently available for the squirrel monkey. This paper describes the construction of a web-based multi-modal atlas of the squirrel monkey brain. The MRI-derived information includes anatomical MRI contrast (i.e., T2-weighted and proton-density-weighted) and diffusion MRI metrics (i.e., fractional anisotropy and mean d...
Source: Neuroinformatics - July 13, 2018 Category: Neuroscience Source Type: research
