a neuronal network model for simulating the effects of repetitive transcranial magnetic stimulation on local field potential power spectra神经网络模型模拟重复经颅磁刺激对当地的影响领域潜在的功率谱.pdfVIP

A Neuronal Network Model for Simulating the Effects of Repetitive Transcranial Magnetic Stimulation on Local Field Potential Power Spectra 1 1 2 Alina Bey *, Stefan Leue , Christian Wienbruch 1 Department of Computer and Information Science, University of Konstanz, Konstanz, Germany, 2 Department of Psychology, University of Konstanz, Konstanz, Germany Abstract Repetitive transcranial magnetic stimulation (rTMS) holds promise as a non-invasive therapy for the treatment of neurological disorders such as depression, schizophrenia, tinnitus, and epilepsy. Complex interdependencies between stimulus duration, frequency and intensity obscure the exact effects of rTMS stimulation on neural activity in the cortex, making evaluation of and comparison between rTMS studies difficult. To explain the influence of rTMS on neural activity (e.g. in the motor cortex), we use a neuronal network model. The results demonstrate that the model adequately explains experimentally observed short term effects of rTMS on the band power in common frequency bands used in electroencephalography (EEG). We show that the equivalent local field potential (eLFP) band power depends on stimulation intensity rather than on stimulation frequency. Additionally, our model resolves contradictions in experiments. Citation: Bey A, Leue S, Wienbruch C (2012) A Neuronal Network Model for Simulating the Effects of Repetitive Transcranial Magnetic Stimulation on Local Field Potential Power Spectra. PLoS ONE 7(11): e49097. doi:10.1371/journal.pone.0049097 Editor: Berthold Langguth, University of Regensburg, Germany Received January 23, 2012; Accepted October 7, 2012; Published November 7, 2012 Copyright: 2012 Bey et al. This is an open-access article distributed under the term