A neural mass model of interconnected regions simulates rhythm propagation observed via TMS-EEG

Tracking Dynamic Interactions Between Structural and Functional Connectivity: A TMS/EEG-dMRI Study

“…First, this work confirms the hypothesis that different rhythms in the brain emerge after TMS, which was the first aim of our study. This dynamic interaction at different natural frequencies seems to reflect intrinsic properties of cortical regions, and the way those are interconnected (Cona et al, 2011;Rosanova et al, 2009). Previous studies revealed that distant areas, when activated by TMS, responded with oscillations closer to their own "natural" frequency (Ferrarelli et al, 2012;Rosanova et al, 2009).…”

“…The TMS pulse gives rise to different connected cortical regions in the brain, generating a complex EEG pattern composed of strong fluctuations at the "natural" frequency of the stimulated area. These oscillations are thought to reflect neurophysiological activity that is transiently elicited by the TMS pulse and possibly engaged through brain connections (Cona et al, 2011;Ferrarelli et al, 2012;Rosanova et al, 2009).…”

Transcranial direct current stimulation and power spectral parameters: a tDCS/EEG co-registration study

“…Future investigations on the results of combined tDCS–EEG experiments could benefit from the interpretative power of neural mass models. To date, these models have been successfully used to interpret EEG power modifications as dynamic modifications of cortical network functional connectivity during sleep rhythms (Cona et al, 2014), due to cognitive and motor tasks (Cona et al, 2009), and, intriguingly, dynamic perturbation of brain networks with transcranial magnetic stimulation (Cona et al, 2011), a companion technology to tDCS.…”

Mapping dynamical properties of cortical microcircuits using robotized TMS and EEG: Towards functional cytoarchitectonics

“…TEPs were recorded over a large diversity of cortical areas including M1, frontal, parietal, and occipital lobes. As expected from the heterogeneity of cortical microcircuits and long range connectivity, TEPs showed distributed spatio-temporal patterns specific to each stimulated area, in terms of both spectral and spatial signatures (Cona et al, 2011;Rosanova et al, 2009;Thut et al, 2011). However, existing literature suffers from the diversity of the TMS parameters and of the EEG signal processing methods employed, which prevents any accurate understanding of the spatial organization of local cortical microcircuits' properties amongst cortical regions.…”