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Related Experiment Video

Updated: May 11, 2026

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Adding dynamics to the Human Connectome Project with MEG.

L J Larson-Prior1, R Oostenveld, S Della Penna

  • 1Department of Radiology, Washington University, St. Louis, MO, USA. lindap@npg.wustl.edu

Neuroimage
|May 25, 2013
PubMed
Summary
This summary is machine-generated.

The Human Connectome Project provides Magnetoencephalography (MEG) data for mapping brain connections. This freely available data will advance understanding of brain network dynamics in adults.

Keywords:
ConnectomeFunctional connectivityMagnetoencephalography (MEG)Processing pipeline

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Systems Neuroscience

Background:

  • The Human Connectome Project (HCP) aims to map human brain connectivity.
  • Magnetoencephalography (MEG) offers rich temporal data for brain network dynamics.
  • Understanding brain connectivity is crucial for neuroscience research.

Purpose of the Study:

  • To collect and provide high-quality MEG data for brain connectivity research.
  • To develop processing pipelines for analyzing dynamic brain connectivity.
  • To make MEG data and analysis tools publicly available to the research community.

Main Methods:

  • Collecting MEG data from 50 twin pairs during rest and cognitive tasks (motor, working memory, language).
  • Utilizing a common cortical parcellation scheme for all imaging modalities.
  • Developing processing pipelines for calculating time- and frequency-dependent connection matrices.

Main Results:

  • High-quality MEG data will be collected and made available.
  • Processing pipelines for dynamic connectivity analysis will be provided.
  • Freely accessible analysis software and dynamic connectivity matrices will be generated.

Conclusions:

  • The HCP provides a unique opportunity to investigate brain network connectivity in a large cohort.
  • The released data and software will facilitate research into brain dynamics.
  • This initiative advances the study of structural and functional brain networks.