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  Brain tissue properties differentiate between motor and limbic basal ganglia circuits

Accolla, E. A., Dukart, J., Helms, G., Weiskopf, N., Kherif, F., Lutti, A., et al. (2014). Brain tissue properties differentiate between motor and limbic basal ganglia circuits. Human Brain Mapping, 35(10), 5083-5092. doi:10.1002/hbm.22533.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-433D-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-7C63-3
Genre: Journal Article

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 Creators:
Accolla, Ettore A.1, 2, 3, Author
Dukart, Jürgen2, 4, Author              
Helms, Gunther5, Author
Weiskopf, Nikolaus6, Author              
Kherif, Ferath2, Author
Lutti, Antoine2, Author
Chowdhury, Rumana6, Author
Hetzer, Stefan3, 7, Author              
Haynes, John-Dylan3, 7, Author              
Kühn, Andrea A.1, Author
Draganski, Bogdan2, 4, Author              
Affiliations:
1Department of Neurology, Charité University Medicine Berlin, Germany, ou_persistent22              
2Département des Neurosciences Cliniques, Laboratoire de Recherche en Neuroimagerie (LREN), Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
3Berlin Center for Advanced Neuroimaging (BCAN), Charité University Medicine Berlin, Germany, ou_persistent22              
4Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
5Department of Cognitive Neurology, University Medical Center, Göttingen, Germany, ou_persistent22              
6Wellcome Trust Centre for Neuroimaging, University College London, United Kingdom, ou_persistent22              
7Bernstein Center for Computational Neuroscience, Berlin, Germany, ou_persistent22              

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Free keywords: Diffusion-weighted imaging; MT; Multiparameter mapping; R2*; Voxel-based quantification
 Abstract: Despite advances in understanding basic organizational principles of the human basal ganglia, accurate in vivo assessment of their anatomical properties is essential to improve early diagnosis in disorders with corticosubcortical pathology and optimize target planning in deep brain stimulation. Main goal of this study was the detailed topological characterization of limbic, associative, and motor subdivisions of the subthalamic nucleus (STN) in relation to corresponding corticosubcortical circuits. To this aim, we used magnetic resonance imaging and investigated independently anatomical connectivity via white matter tracts next to brain tissue properties. On the basis of probabilistic diffusion tractography we identified STN subregions with predominantly motor, associative, and limbic connectivity. We then computed for each of the nonoverlapping STN subregions the covariance between local brain tissue properties and the rest of the brain using high-resolution maps of magnetization transfer (MT) saturation and longitudinal (R1) and transverse relaxation rate (R2*). The demonstrated spatial distribution pattern of covariance between brain tissue properties linked to myelin (R1 and MT) and iron (R2*) content clearly segregates between motor and limbic basal ganglia circuits. We interpret the demonstrated covariance pattern as evidence for shared tissue properties within a functional circuit, which is closely linked to its function. Our findings open new possibilities for investigation of changes in the established covariance pattern aiming at accurate diagnosis of basal ganglia disorders and prediction of treatment outcome.

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Language(s): eng - English
 Dates: 2014-03-102013-11-272014-04-082014-04-282014-10
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1002/hbm.22533
PMID: 24777915
PMC: PMC4282398
Other: Epub 2014
 Degree: -

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Title: Human Brain Mapping
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 35 (10) Sequence Number: - Start / End Page: 5083 - 5092 Identifier: ISSN: 1065-9471
CoNE: /journals/resource/954925601686