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Analyzing Thalamocortical Tract-Tracing Experiments in a Common Reference Space.

Nestor Timonidis1, Mario Rubio-Teves2, Carmen Alonso-Martínez2

  • 1Neuroinformatics Department, Donders Centre for Neuroscience, Radboud University Nijmegen, Heyendaalseweg 135, 6525 AJ, Nijmegen, The Netherlands. nestor.timonidis@donders.ru.nl.

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|October 21, 2023
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Summary
This summary is machine-generated.

This study introduces a new pipeline for mapping mouse brain connectivity, detailing thalamocortical projections from the ventral posteromedial nucleus (VPM). The method enhances topographical precision for building a shared virtual brain atlas.

Keywords:
Common coordinate frameworkConnectomicsCortexSomatosensory systemSomatotopySpatial registrationThalamusTopographyTract-tracingVPM

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Area of Science:

  • Neuroscience
  • Brain Connectivity
  • Connectomics

Background:

  • Current mesoscale connectivity atlases lack detailed thalamocortical projection information in the mouse brain.
  • Integrating spatially resolved thalamic neuron population data into a common reference space is crucial for connectomic analysis.

Purpose of the Study:

  • To develop and validate a computational pipeline for segmenting, registering, integrating, and analyzing multiple tract-tracing experiments.
  • To investigate the axonal projections and intranuclear organization of seven neuronal populations within the ventral posteromedial nucleus (VPM) of the thalamus.

Main Methods:

  • A novel pipeline transforms tract-tracing data to fit a reference template for improved integration.
  • Anterograde tracers were used to label seven neuronal populations in the VPM.
  • Data analysis included soma position mapping and projection target identification in the cortex.

Main Results:

  • Soma positions in VPM correlated with cortical representations of whiskers, nose, and mouth.
  • VPM projections predominantly targeted layer 4 of the cortex.
  • The developed method demonstrated higher topographical precision compared to existing atlases, with results aligning with independent datasets.

Conclusions:

  • The study establishes a foundation for a collaborative virtual connectivity atlas of the thalamus.
  • The pipeline is user-friendly, accessible via Jupyter Notebook, and offers advanced visualization tools.
  • This approach facilitates the study of topographical organization in various thalamic nuclei.