4.7 Article

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

Journal

NEUROIMAGE
Volume 120, Issue -, Pages 254-265

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2015.06.070

Keywords

Reaching; On-line motor control; Repetitive TMS; Diffusion tensor imaging; Superior longitudinal fasciculus II

Funding

  1. Catalan government
  2. Spanish government [PSI2012-29219]
  3. Generalitat de Catalunya [SGR2005-00831]
  4. DFG [SFB TR134 C1]
  5. BMBF [01GJ1009]
  6. ICREA Funding Source: Custom

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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. (C) 2015 Elsevier Inc. All rights reserved.

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