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Connectome and Maturation Profiles of the Developing Mouse Brain Using Diffusion Tensor Imaging.

Madhura Ingalhalikar1, Drew Parker1, Yasser Ghanbari1

  • 1Section of Biomedical Image Analysis, Department of Radiology.

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|April 9, 2014
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Summary
This summary is machine-generated.

This study maps the developing mouse brain

Keywords:
connectomediffusion tensor imagingmaturationmouse

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Biophysics

Background:

  • Establishing a comprehensive structural connectome for the mouse brain is crucial for understanding neural network development and function.
  • Diffusion tensor magnetic resonance imaging (dMRI) and advanced connectivity analysis tools are key to mapping brain structure.
  • Imaging-based connectomics offers a powerful approach to study brain changes across development and in response to genetic factors.

Purpose of the Study:

  • To establish a structural mouse connectome using dMRI and connectivity analysis.
  • To present a connectomic trajectory of brain maturation in C57BL/6J mice from postnatal days 2-80.
  • To investigate age-related changes in both global and regional brain network features.

Main Methods:

  • Utilized diffusion tensor magnetic resonance imaging (dMRI) for data acquisition.
  • Applied advanced connectivity analysis tools to establish a whole-brain structural connectome.
  • Analyzed global network measures (density, global efficiency, modularity) and regional network metrics (degree, local efficiency).

Main Results:

  • Global network measures showed a nonlinear relationship with age.
  • Regional network metrics exhibited differential changes in subcortical (thalamus, hippocampus) and cortical (visual, motor cortex) regions.
  • A derived 'brain connectivity index' highly correlated (r = 0.95) with chronological age.

Conclusions:

  • Brain connectivity serves as a reliable marker for normal age progression in mice.
  • The established mouse connectome is valuable for detecting subtle deviations caused by genetic, environmental, or pharmacological factors.
  • This work provides a foundation for imaging-based structural connectomics in the mouse brain.