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Related Experiment Video

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Cerebral cartography and connectomics.

Olaf Sporns1

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

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|April 1, 2015
PubMed
Summary
This summary is machine-generated.

Cerebral cartography and connectomics map brain networks. Challenges include temporal dynamics, parcellation, scale, and structure-function mapping, requiring advanced network science tools for human connectomics discovery.

Keywords:
brain connectivitybrain mappingconnectomefMRI

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Area of Science:

  • Neuroscience
  • Network Science
  • Computational Biology

Background:

  • Cerebral cartography and connectomics aim to map brain organization.
  • Connectome maps represent the brain as a complex network of nodes and edges.

Purpose of the Study:

  • To identify and discuss challenges at the intersection of cerebral cartography and connectomics.
  • To highlight the need for advanced network science methods in human connectomics.

Main Methods:

  • Review and reflection on current challenges in brain mapping and network analysis.
  • Discussion of temporal dynamics, areal parcellations, hierarchical organization, and scale extension.

Main Results:

  • Key challenges identified: temporal dynamics of functional connectivity, defining areal parcellations, hierarchical organization, and extending whole-brain to cellular-scale networks.
  • Mapping structure/function relations in empirical recordings and computational models presents difficulties.

Conclusions:

  • Addressing these challenges requires extending network science methods for human brain connectivity data analysis.
  • The brain is fundamentally a complex networked system, driving the need for detailed, multi-modal network maps for discovery.