T015 Optimizing rTMS protocols by enhancing conductance of neural networks

Publication date: March 2017
Source:Clinical Neurophysiology, Volume 128, Issue 3
Author(s): A. Goldental, I. Halawa, Y. Shirota, I. Kanter, W. Paulus
The recent emergence of better rTMS stimulators allows the generation of various pulse sequences and patterns and the following question arise - how to optimize the efficiency of rTMS scheduling in clinical trials? While the existing literature reports seemingly contradicting results, the phase-space for such an exhaustive optimization search is large and includes many dimensions such as repetition frequency, pulse intensity, pulse duration, number of pulses, pulse shape and intervals between repeated treatments. We try to identify the relevant guidelines and trends to optimize the efficiency of rTMS scheduling. The underlying physical mechanism is the network conductance which is significantly affected by neuronal plasticity in the form of neuronal response failures (NRFs).



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