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Iterative prior-guided parcellation (iPGP) for capturing inter-subject and inter-nuclei variability in thalamic

Chaohong Gao1, Xia Wu2, Liang Ma2

  • 1Sino-Danish Center, University of Chinese Academy of Sciences, Beijing, PR China; Beijing Key Laboratory of Brainnetome and Brain-Computer Interface, Institute of Automation, Chinese Academy of Sciences, Beijing, PR China; Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, PR China; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.

Neuroimage
|July 27, 2025
PubMed
Summary

This study introduces an iterative prior-guided parcellation (iPGP) framework for personalized brain thalamus mapping. The iPGP method accurately identifies individual thalamic nuclei, aiding in understanding cognitive functions.

Keywords:
Individualized mappingIterative ParcellationPrior-guidedThalamus

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Computational Anatomy

Background:

  • The thalamus, a key brain relay, has variable structures influencing cognition.
  • Individualized mapping of thalamic nuclei is challenging due to anatomical variability.

Purpose of the Study:

  • To develop an automated framework for creating individualized thalamic parcellations.
  • To assess the reproducibility and adaptability of the proposed method.

Main Methods:

  • An iterative prior-guided parcellation (iPGP) framework was developed.
  • Utilized Morel histological atlas and diffusion characteristics for parcellation.
  • Employed an iterative optimization for individual-specific models.

Main Results:

  • iPGP produced personalized, anatomically consistent thalamic parcellations.
  • Demonstrated high intra-subject reproducibility and adaptability across age groups.
  • Parcellations correlated with adolescent age and adult cognitive scores.

Conclusions:

  • iPGP effectively captures individual and regional variability in thalamic structure.
  • This framework advances thalamic mapping for brain function research.