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Organization of the Brain

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Related Experiment Video

Updated: May 12, 2026

Modeling the Functional Network for Spatial Navigation in the Human Brain
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Published on: October 13, 2023

The human connectome: origins and challenges.

Olaf Sporns1

  • 1Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN 47405, USA. osporns@indiana.edu

Neuroimage
|March 27, 2013
PubMed
Summary

The human connectome maps brain connections. Understanding its role in brain function requires addressing challenges in scale, variability, and plasticity through advanced analysis and interdisciplinary collaboration.

Keywords:
Brain networkConnectivityConnectomicsDiffusion imagingGraph theoryNeuroanatomy

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Published on: November 8, 2012

Area of Science:

  • Neuroscience
  • Computational Biology
  • Network Science

Background:

  • The human connectome is a network map of the brain's structural connections.
  • Understanding the connectome is crucial for elucidating brain function.

Purpose of the Study:

  • To trace the historical origins and define the scope of the human connectome.
  • To explore the connectome's role in brain function and dynamics.
  • To identify challenges and propose solutions for connectome mapping.

Main Methods:

  • Historical analysis of connectome research.
  • Conceptual clarification of connectome definition and scope.
  • Identification of challenges in multi-scale connectivity, individual variability, and plasticity.
  • Discussion of statistical analysis and computational modeling needs.

Main Results:

  • The human connectome is a complex network requiring multi-scale analysis.
  • Individual variability and structural plasticity are key challenges in connectome mapping.
  • The connectome's role in shaping brain dynamics is an active area of research.

Conclusions:

  • Mapping the human connectome necessitates new statistical and computational approaches.
  • Interdisciplinary collaboration, particularly with complex systems and network science, is vital.
  • Addressing current challenges will advance our understanding of brain function and dynamics.