Brain tissue properties differentiate between motor and limbic basal ganglia circuits. Issue 10 (28th April 2014)

• Record Type: Journal Article
• Authors: Accolla, Ettore A.; Dukart, Juergen; Helms, Gunther; Weiskopf, Nikolaus; Kherif, Ferath; Lutti, Antoine; Chowdhury, Rumana; Hetzer, Stefan; Haynes, John‐Dylan; Kühn, Andrea A.; Draganski, Bogdan
• Is Part Of: Human brain mapping. Volume 35:Issue 10(2014:Oct.)
• Page Start: 5083
• Page End: 5092
• Publication Date: 2014-04-28
• Subjects: Brain mapping -- Periodicals; 611.81
• DOI: 10.1002/hbm.22533
• Languages: English
• ISSNs: 1065-9471

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>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. <italic>Hum Brain Mapp 35:5083–5092, 2014</italic>. © <bold>2014 The Authors. Human Brain Mapping Published by Wiley Periodicals, Inc.</bold></p> </abstract>