Quantitative investigations of axonal and dendritic arbors: development, structure, function, and pathology

Area of Science:

• Neuroscience
• Computational Biology
• Biophysics

Background:

• Neuronal branching structures (axonal and dendritic morphology) are fundamental to synaptic signaling, integration, and neural circuit computation.
• Changes in neuronal morphology are linked to development, aging, disease, and responses to experience.
• Advancements in imaging and processing technologies facilitate high-throughput reconstruction of neuronal structures.

Purpose of the Study:

• To review scientific literature on the reconstruction of axonal and dendritic morphology.
• To highlight the diverse goals of neuronal reconstruction, including identity, physiology, and pathology.
• To showcase the reuse of digital neuronal reconstructions in subsequent research.

Main Methods:

• Review of scientific literature reporting neuronal morphology reconstruction.
• Analysis of data deposited in the NeuroMorpho.Org repository.
• Identification of representative examples of reconstruction reuse.

Main Results:

• Digital reconstructions enable quantitative analyses beyond traditional methods.
• Digitized morphologies support biophysically realistic computational modeling of neurons.
• Shared reconstructions in repositories like NeuroMorpho.Org facilitate multi-purpose reuse.

Conclusions:

• Digital reconstructions of neuronal morphology offer vast potential for quantitative investigations.
• Data sharing and reuse of neuronal reconstructions accelerate scientific discovery.
• The cycle of generation, analysis, sharing, and reuse of digital neuronal data is transformative for neuroscience.