Neural Structures
Neural Structures - Related Videos
10:32
Enumeration of Neural Stem Cells Using Clonal Assays
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Cited by 5 •
2016
Neural stem cells (NSCs) refer to cells which can self-renew and differentiate into the three neural lineages. Here, we describe a protocol to determine NSC frequency in a given cell population using neurosphere formation and differentiation under clonal conditions.
09:48
Neural Activity Propagation in an Unfolded Hippocampal Preparation with a Penetrating Micro-electrode Array
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Cited by 2 •
2015
We have developed an in vitro unfolded hippocampus which preserves CA1-CA3 array of neurons. Combined with the penetrating micro-electrode array, neural activity can be monitored in both the longitudinal and transverse orientations. This method provides advantages over hippocampal slice preparations as the propagation in the entire hippocampus can be recorded simultaneously.
07:45
Explant Culture of Neural Tissue
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2023
The intricate structure of the vertebrate nervous system arises from a complex series of events involving cell differentiation, cell migration, and changes in cell morphology. Studying these processes is essential to our understanding of nervous system function as well as our ability to diagnose and treat disorders that result from abnormal development. However, neural tissues are relatively inaccessible for experimental manipulations, especially in embryonic mammals. As a result, many...
12:48
Isolation and Culture of Neural Crest Cells from Embryonic Murine Neural Tube
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Cited by 26 •
2012
Isolation of embryonic neural crest from the neural tube facilitates the use of in vitro methods for studying migration, self-renewal, and multipotency of neural crest.
06:31
Neural-Colony Forming Cell Assay: An Assay To Discriminate Bona Fide Neural Stem Cells from Neural Progenitor Cells
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Cited by 36 •
2011
This video protocol demonstrates how to discriminate and enumerate bona fide neural stem cells in a mixed population of neural precursor cells using the neural colony-forming cell assay.
FAQs
Connectivity determines how individual neural components contribute to larger functions. Signals depend not only on the presence of neurons or glia, but also on which elements connect and how those connections are organized into circuits. This network perspective helps explain why anatomy must be interpreted alongside activity when relating neural structures to sensation, movement, cognition, or behavior.
Neurons use electrical changes across their membranes to receive and transmit information, then communicate chemically at synapses, the junctions between signaling cells. This sequence allows activity to pass from one cellular component to another within organized circuits. Its importance lies in linking cellular signaling mechanisms with broader processes such as sensory processing and behavior.
Glial cells do more than provide passive support. They help maintain the cellular environment, supply metabolic support, and regulate signaling around neurons. These roles influence the conditions under which neural communication occurs, so analyses focused only on neuronal transmission may miss important contributors to circuit activity and overall nervous-system function.
A complete analysis can include neurons and glial cells together with larger anatomical organizations such as brain regions, spinal pathways, and peripheral nerves. Researchers also consider how these elements connect into circuits. Examining cellular components alongside regional and pathway organization helps relate local signaling to integrated functions, including sensation, movement, cognition, and behavior.
Researchers use the organization of neural structures as a framework for interpreting nervous-system activity and behavior. Relating particular anatomical components and their connectivity to sensation, movement, cognition, or sensory processing can clarify how functions arise from circuits. This approach moves analysis beyond isolated cells and emphasizes relationships among regions, pathways, and signaling elements.
Studying neural structures can reveal how the nervous system changes during development and how structural alterations accompany neurological disease or injury. It also provides context for considering potential therapeutic intervention. These applications make structural analysis relevant not only to basic explanations of nervous-system function, but also to understanding dysfunction and possible recovery or treatment strategies.