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Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
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Multi-modal ultra-high resolution structural 7-Tesla MRI data repository.

Birte U Forstmann1, Max C Keuken1, Andreas Schafer2

  • 1Amsterdam Center for Brain & Cognition, University of Amsterdam , 1018 WS Amsterdam, Netherlands ; Max Planck Institute for Human Cognitive and Brain Sciences , 04103 Leipzig, Germany.

Scientific Data
|May 16, 2015
PubMed
Summary
This summary is machine-generated.

The Atlasing of the Basal Ganglia (ATAG) project offers ultra-high resolution 7 Tesla MRI scans. This valuable neuroimaging data aids in understanding brain networks and developing advanced brain atlases.

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Area of Science:

  • Neuroscience
  • Neuroimaging
  • Connectomics

Background:

  • Structural brain data is crucial for understanding brain function and networks.
  • High-resolution brain atlases are essential for both basic and clinical neuroscience research.

Purpose of the Study:

  • To present ultra-high resolution 7 Tesla MRI datasets from the Atlasing of the Basal Ganglia (ATAG) project.
  • To provide data for developing new algorithms for high-resolution brain atlases.
  • To support research in basic and clinical neurosciences, including neurosurgery and disease research.

Main Methods:

  • Acquisition of whole-brain and reduced field-of-view MP2RAGE and T2*-weighted scans.
  • Utilizing 7 Tesla (T) magnetic resonance imaging (MRI) for ultra-high resolution imaging.
  • Scanning young, middle-aged, and elderly participants to capture diverse age groups.

Main Results:

  • The ATAG dataset provides sub-millimeter scale, ultra-high resolution imaging of the subcortex and brainstem.
  • The data enables the development of novel algorithms for creating detailed brain atlases.
  • The repository offers valuable information for precise electrode placement in deep-brain stimulation.

Conclusions:

  • The ATAG dataset represents a significant resource for advancing connectomics and neuroimaging research.
  • These ultra-high resolution MRI scans facilitate the creation of detailed brain atlases.
  • The data has direct implications for improving treatments for Parkinson's and neuropsychiatric diseases.