| Literature DB >> 26052083 |
Charlotte Nettekoven1, Lukas J Volz2, Martha Leimbach2, Eva-Maria Pool1, Anne K Rehme1, Simon B Eickhoff3, Gereon R Fink1, Christian Grefkes4.
Abstract
The responsiveness to non-invasive neuromodulation protocols shows high inter-individual variability, the reasons of which remain poorly understood. We here tested whether the response to intermittent theta-burst stimulation (iTBS) - an effective repetitive transcranial magnetic stimulation (rTMS) protocol for increasing cortical excitability - depends on network properties of the cortical motor system. We furthermore investigated whether the responsiveness to iTBS is dose-dependent. To this end, we used a sham-stimulation controlled, single-blinded within-subject design testing for the relationship between iTBS aftereffects and (i) motor-evoked potentials (MEPs) as well as (ii) resting-state functional connectivity (rsFC) in 16 healthy subjects. In each session, three blocks of iTBS were applied, separated by 15min. We found that non-responders (subjects not showing an MEP increase of ≥10% after one iTBS block) featured stronger rsFC between the stimulated primary motor cortex (M1) and premotor areas before stimulation compared to responders. However, only the group of responders showed increases in rsFC and MEPs, while most non-responders remained close to baseline levels after all three blocks of iTBS. Importantly, there was still a large amount of variability in both groups. Our data suggest that responsiveness to iTBS at the local level (i.e., M1 excitability) depends upon the pre-interventional network connectivity of the stimulated region. Of note, increasing iTBS dose did not turn non-responders into responders. The finding that higher levels of pre-interventional connectivity precluded a response to iTBS could reflect a ceiling effect underlying non-responsiveness to iTBS at the systems level.Entities:
Keywords: Cortical plasticity; Dose-dependency; SMA; Variability; dPMC
Mesh:
Year: 2015 PMID: 26052083 PMCID: PMC5216181 DOI: 10.1016/j.neuroimage.2015.06.004
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556