Microstructure of the superior longitudinal fasciculus predicts stimulation-induced interference with on-line motor control

Borja Rodríguez-Herreros, Julià L. Amengual, Ane Gurtubay-Antolín, Lars Richter, Philipp Jauer, Christian Erdmann, Achim Schweikard, Joan López-Moliner, Antoni Rodríguez-Fornells, Thomas F. Münte*

*Corresponding author for this work
24 Citations (Scopus)

Abstract

A cortical visuomotor network, comprising the medial intraparietal sulcus (mIPS) and the dorsal premotor area (PMd), encodes the sensorimotor transformations required for the on-line control of reaching movements. How information is transmitted between these two regions and which pathways are involved, are less clear. Here, we use a multimodal approach combining repetitive transcranial magnetic stimulation (rTMS) and diffusion tensor imaging (DTI) to investigate whether structural connectivity in the 'reaching' circuit is associated to variations in the ability to control and update a movement. We induced a transient disruption of the neural processes underlying on-line motor adjustments by applying 1. Hz rTMS over the mIPS. After the stimulation protocol, participants globally showed a reduction of the number of corrective trajectories during a reaching task that included unexpected visual perturbations. A voxel-based analysis revealed that participants exhibiting higher fractional anisotropy (FA) in the second branch of the superior longitudinal fasciculus (SLF II) suffered less rTMS-induced behavioral impact. These results indicate that the microstructural features of the white matter bundles within the parieto-frontal 'reaching' circuit play a prominent role when action reprogramming is interfered. Moreover, our study suggests that the structural alignment and cohesion of the white matter tracts might be used as a predictor to characterize the extent of motor impairments.

Original languageEnglish
JournalNeuroImage
Volume120
Pages (from-to)254-265
Number of pages12
ISSN1053-8119
DOIs
Publication statusPublished - 01.01.2015

Funding

We acknowledge Pablo Ripollés for his contribution and advice on DTI analysis, and Michel Thiebaut de Schotten for providing the probabilistic SLF atlas. We are very grateful to Katrin Sellin for his valuable help during the execution of the study. This work was supported by an AGAUR B.E. grant from the Catalan government ( BE-DGR 2011 ) to BRH and JLA, a Spanish government grant to ARF ( PSI2012-29219 ) and a grant from the Generalitat de Catalunya ( SGR2005-00831 ). TFM is supported by the DFG ( SFB TR134 C1 ) and the BMBF ( 01GJ1009 ). Competing interests The authors declare no disclosure of financial interests and potential conflict of interest.

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