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Imaging-based parcellations of the human brain.

Simon B Eickhoff1,2, B T Thomas Yeo3,4,5,6, Sarah Genon7,8

  • 1Institute of Neuroscience and Medicine, Brain and Behavior (INM-7), Research Centre Jülich, Jülich, Germany. simon.eickhoff@med.uni-duesseldorf.de.

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Summary

Brain parcellation using MRI reveals diverse brain organization. Comparing these maps is challenging yet offers insights into brain structure, function, and variability across individuals and species.

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Computational Biology

Background:

  • Brain organization exhibits spatial heterogeneity across multiple scales.
  • Brain parcellation, defining distinct brain areas or networks, is crucial for understanding brain function.
  • Recent advances include numerous in vivo MRI-based parcellation methods using diverse features.

Purpose of the Study:

  • To address the challenge of assessing convergence and divergence among diverse brain parcellation maps.
  • To explore opportunities presented by inter-individual variability in parcellation studies.
  • To integrate cross-species and developmental perspectives in brain parcellation.

Main Methods:

  • Utilizing in vivo Magnetic Resonance Imaging (MRI) techniques.
  • Analyzing a wide range of brain features, including local tissue properties, connectivity patterns, and structural/functional markers.
  • Comparing and contrasting multiple brain parcellation maps derived from different methodologies.

Main Results:

  • A high diversity of brain parcellation approaches has emerged.
  • Assessing the agreement and discrepancies between different parcellation maps presents a significant challenge.
  • Inter-individual variability in brain structure and function is a key factor in parcellation.

Conclusions:

  • Despite methodological diversity, brain parcellation is advancing our understanding of brain organization.
  • Addressing inter-individual variability and integrating cross-species/developmental data can enhance parcellation accuracy and utility.
  • Future research should focus on harmonizing diverse parcellation approaches to build a more comprehensive brain atlas.