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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry.

Shengdian Jiang1,2, Lijun Wang1,3, Zhixi Yun1,2

  • 1New Cornerstone Science Laboratory, SEU-ALLEN Joint Center, Institute for Brain and Intelligence, Southeast University, Nanjing, China.

Nature Methods
|April 29, 2025
PubMed
Summary
This summary is machine-generated.

NeuroXiv is a new database featuring 175,149 neuron morphologies mapped to the Common Coordinate Framework Version 3 (CCFv3). It includes an AI-powered mining engine (AIPOM) for dynamic data exploration.

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Area of Science:

  • Neuroscience
  • Bioinformatics
  • Computational Biology

Background:

  • Extensive reconstruction of neuron morphology at the whole-brain scale has been achieved by recent projects.
  • There is a need for standardized and scalable methods for interactive exploration of this complex data.

Purpose of the Study:

  • To introduce NeuroXiv, a large-scale database for interactive exploration of neuron morphologies.
  • To integrate an AI-powered mining engine (AIPOM) for user-specific data mining.

Main Methods:

  • Compilation of 175,149 reconstructed neuron morphologies.
  • Mapping morphologies to the Common Coordinate Framework Version 3 (CCFv3).
  • Development of an AI-powered mining engine (AIPOM) and a custom client program.

Main Results:

  • NeuroXiv provides a centralized repository of 175,149 neuron morphologies.
  • The database is mapped to the Common Coordinate Framework Version 3 (CCFv3) for standardization.
  • The AI-powered mining engine (AIPOM) enables dynamic and user-specific data retrieval.

Conclusions:

  • NeuroXiv offers a scalable and interactive platform for exploring neuron morphology data.
  • The integration of AIPOM enhances data mining capabilities for neuroscience research.
  • This resource facilitates a deeper understanding of neural structures and connectivity.