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Neuroimage. 2018 Apr 15;170:271-282. doi: 10.1016/j.neuroimage.2017.05.015. Epub 2017 May 20.

Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity.

Author information

1
Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - University Medicine, Berlin, Germany; Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: siobhan.ewert@charite.de.
2
Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - University Medicine, Berlin, Germany.
3
Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - University Medicine, Berlin, Germany; Institute of Software Engineering and Theoretical Computer Science, Neural Information Processing Group, Technische Universität, Berlin, Germany.
4
Douglas Mental Health University Institute, Cerebral Imaging Centre, McGill University, Montréal, Canada; Departments of Psychiatry and Biological and Biomedical Engineering, McGill University, Montréal, Canada.
5
Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montréal, Canada.
6
Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
7
Department of Neurology, Movement Disorder and Neuromodulation Unit, Charité - University Medicine, Berlin, Germany; Harvard Medical School, Beth Israel Deaconess Medical Center, Neurology Department, Berenson-Allen Center for Noninvasive Brain Stimulation, Laboratory for Brain Network Imaging and Modulation, Boston, MA, USA.

Abstract

Three-dimensional atlases of subcortical brain structures are valuable tools to reference anatomy in neuroscience and neurology. For instance, they can be used to study the position and shape of the three most common deep brain stimulation (DBS) targets, the subthalamic nucleus (STN), internal part of the pallidum (GPi) and ventral intermediate nucleus of the thalamus (VIM) in spatial relationship to DBS electrodes. Here, we present a composite atlas based on manual segmentations of a multimodal high resolution brain template, histology and structural connectivity. In a first step, four key structures were defined on the template itself using a combination of multispectral image analysis and manual segmentation. Second, these structures were used as anchor points to coregister a detailed histological atlas into standard space. Results show that this approach significantly improved coregistration accuracy over previously published methods. Finally, a sub-segmentation of STN and GPi into functional zones was achieved based on structural connectivity. The result is a composite atlas that defines key nuclei on the template itself, fills the gaps between them using histology and further subdivides them using structural connectivity. We show that the atlas can be used to segment DBS targets in single subjects, yielding more accurate results compared to priorly published atlases. The atlas will be made publicly available and constitutes a resource to study DBS electrode localizations in combination with modern neuroimaging methods.

KEYWORDS:

Atlas; Deep brain stimulation; Dystonia; Globus pallidus; MNI; Parkinson's disease; Subthalamic nucleus

[Indexed for MEDLINE]

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