An MRI atlas of the mouse basal ganglia

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• 作者：Jeremy F. P. Ullmann (2)
  Charles Watson (1) (3)
  Andrew L. Janke (2)
  Nyoman D. Kurniawan (2)
  George Paxinos (1) (4)
  David C. Reutens (1) (2)
  
• 关键词：Basal ganglia ; Pallidum ; Striatum ; Mouse brain ; Atlas ; Magnetic resonance imaging
• 刊名：Brain Structure and Function
• 出版年：2014
• 出版时间：July 2014
• 年：2014
• 卷：219
• 期：4
• 页码：1343-1353
• 全文大小：1,610 KB
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• 作者单位：Jeremy F. P. Ullmann (2)
  Charles Watson (1) (3)
  Andrew L. Janke (2)
  Nyoman D. Kurniawan (2)
  George Paxinos (1) (4)
  David C. Reutens (1) (2)
  
  2. Center for Advanced Imaging, The University of Queensland, Brisbane, QLD, 4072, Australia
  1. The Australian Mouse Brain Mapping Consortium, The University of Queensland, Brisbane, QLD, Australia
  3. Health Sciences, Curtin University, Bentley, WA, Australia
  4. Neuroscience Research Australia, The University of New South Wales, Sydney, NSW, Australia
  
• ISSN：1863-2661

文摘

The basal ganglia are a?group of subpallial nuclei that play an important role in motor, emotional, and cognitive functions. Morphological changes and disrupted afferent/efferent connections in the basal ganglia have been associated with a variety of neurological disorders including psychiatric and movement disorders. While high-resolution magnetic resonance imaging has been used to characterize changes in brain structure in mouse models of these disorders, no systematic method for segmentation of the C57BL/6?J mouse basal ganglia exists. In this study we have used high-resolution MR images of ex vivo C57BL/6?J mouse brain to create a detailed protocol for segmenting the basal ganglia. We created a three-dimensional minimum deformation atlas, which includes the segmentation of 35 striatal, pallidal, and basal ganglia-related structures. In addition, we provide mean volumes, mean T2 contrast intensities and mean FA and ADC values for each structure. This MR atlas is available for download, and enables researchers to perform automated segmentation in genetic models of basal ganglia disorders.