Results 51 to 60 of about 8,362 (210)
The data science of networks is a rapidly developing field with myriad applications. In neuroscience, the brain is commonly modeled as a connectome, a network of nodes connected by edges. While there have been thousands of papers on connectomics, the statistics of networks remains limited and poorly understood.
Jaewon Chung+8 more
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Intelligent Medical Diagnosis Model Based on Graph Neural Networks for Medical Images
ABSTRACT Recently, numerous estimation issues have been solved due to the developments in data‐driven artificial neural networks (ANN) and graph neural networks (GNN). The primary limitation of previous methodologies has been the dependence on data that can be structured in a grid format.
Ashutosh Sharma, Amit Sharma, Kai Guo
wiley +1 more source
A Scalable Staining Strategy for Whole-Brain Connectomics
Mapping the complete synaptic connectivity of a mammalian brain would be transformative, revealing the pathways underlying perception, behavior, and memory.
Xiaotang Lu+5 more
semanticscholar +1 more source
Random Access Segmentation Volume Compression for Interactive Volume Rendering
Abstract Segmentation volumes are voxel data sets often used in machine learning, connectomics, and natural sciences. Their large sizes make compression indispensable for storage and processing, including GPU video memory constrained real‐time visualization.
M. Piochowiak+2 more
wiley +1 more source
Comparative connectomics of dauer reveals developmental plasticity
A fundamental question in neurodevelopmental biology is how flexibly the nervous system changes during development. To address this, we reconstructed the chemical connectome of dauer, an alternative developmental stage of nematodes with distinct ...
Hyunsoo Yim+11 more
semanticscholar +1 more source
The Interscutularis Muscle Connectome
The complete connectional map (connectome) of a neural circuit is essential for understanding its structure and function. Such maps have only been obtained in Caenorhabditis elegans. As an attempt at solving mammalian circuits, we reconstructed the connectomes of six interscutularis muscles from adult transgenic mice expressing fluorescent proteins in ...
Lu, Ju+3 more
openaire +7 more sources
Opportunities of connectomic neuromodulation
The process of altering neural activity - neuromodulation - has long been used to treat patients with brain disorders and answer scientific questions. Deep brain stimulation in particular has provided clinical benefit to over 150,000 patients. However, our understanding of how neuromodulation impacts the brain is evolving.
Michael D. Fox+3 more
openaire +4 more sources
Parameterizable consensus connectomes from the Human Connectome Project: the Budapest Reference Connectome Server v3.0 [PDF]
Connections of the living human brain, on a macroscopic scale, can be mapped by a diffusion MR imaging based workflow. Since the same anatomic regions can be corresponded between distinct brains, one can compare the presence or the absence of the edges, connecting the very same two anatomic regions, among multiple cortices.
Csaba Kerepesi+4 more
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The pathophysiology of D/EE‐SWAS has traditionally been conceptualized as a cause–effect continuum wherein genetic and environmental factors influence brain morphology, subsequently inducing electrical abnormalities during sleep, resulting in cognitive impairment.
Luca Andreoli+2 more
wiley +1 more source
Connecting Connectomes to Physiology
With the advent of volumetric EM techniques, large connectomic datasets are being created, providing neuroscience researchers with knowledge about the full connectivity of neural circuits under study. This allows for numerical simulation of detailed, biophysical models of each neuron participating in the circuit. However, these models typically include
Alexander Borst, Christian Leibold
openaire +3 more sources