| Literature DB >> 28092972 |
Enrico Amico1,2, Olivier Bodart1, Mario Rosanova3, Olivia Gosseries1,4, Lizette Heine1, Pieter Van Mierlo5, Charlotte Martial1, Marcello Massimini3, Daniele Marinazzo2, Steven Laureys1.
Abstract
Transcranial magnetic stimulation (TMS) in combination with neuroimaging techniques allows to measure the effects of a direct perturbation of the brain. When coupled with high-density electroencephalography (TMS/hd-EEG), TMS pulses revealed electrophysiological signatures of different cortical modules in health and disease. However, the neural underpinnings of these signatures remain unclear. Here, by applying multimodal analyses of cortical response to TMS recordings and diffusion magnetic resonance imaging (dMRI) tractography, we investigated the relationship between functional and structural features of different cortical modules in a cohort of awake healthy volunteers. For each subject, we computed directed functional connectivity interactions between cortical areas from the source-reconstructed TMS/hd-EEG recordings and correlated them with the correspondent structural connectivity matrix extracted from dMRI tractography, in three different frequency bands (α, β, γ) and two sites of stimulation (left precuneus and left premotor). Each stimulated area appeared to mainly respond to TMS by being functionally elicited in specific frequency bands, that is, β for precuneus and γ for premotor. We also observed a temporary decrease in the whole-brain correlation between directed functional connectivity and structural connectivity after TMS in all frequency bands. Notably, when focusing on the stimulated areas only, we found that the structure-function correlation significantly increases over time in the premotor area controlateral to TMS. Our study points out the importance of taking into account the major role played by different cortical oscillations when investigating the mechanisms for integration and segregation of information in the human brain.Entities:
Keywords: DTI; TMS/EEG; brain-directed functional connectivity; directed functional connectivity; structural connectivity; structure–function
Mesh:
Year: 2017 PMID: 28092972 DOI: 10.1089/brain.2016.0462
Source DB: PubMed Journal: Brain Connect ISSN: 2158-0014