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Background: Motor hotspot identification represents the first step in the determination of the motor threshold and is the basis for the specification of stimulation intensity used for various Transcranial Magnetic Stimulation (TMS) applications. The level of experimenters' experience and the methodology of motor hotspot identification differ between laboratories. The need for an optimized and time-efficient technique for motor hotspot identification is therefore substantial. Objective: With the current work, we present a framework for an optimized and time-efficient semi-automated motor hotspot search (SAMHS) technique utilizing a neuronavigated robot-assisted TMS system (TMS-cobot). Furthermore, we aim to test its practicality and accuracy by a comparison with a manual motor hotspot identification method. Method: A total of 32 participants took part in this dual-center study. At both study centers, participants underwent manual hotspot search (MHS) with an experienced TMS researcher, and the novel SAMHS procedure with a TMS-cobot (hereafter, called cobot hotspot search, CHS) in a randomized order. Resting motor threshold (RMT), and stimulus intensity to produce 1 mV (SI1mV) peakto-peak of motor-evoked potential (MEP), as well as MEPs with 120% RMT and SI1mV were recorded as outcome measures for comparison. Results: Compared to the MHS method, the CHS produced lower RMT, lower SI1mV and a trend-wise higher peak-to-peak MEP amplitude in stimulations with SI1mV. The duration of the CHS procedure was longer than that of the MHS (15.60 vs. 2.43 min on average). However, accuracy of the hotspot was higher for the CHS compared to the MHS. Conclusions: The SAMHS procedure introduces an optimized motor hotspot determination system that is easy to use, and strikes a fairly good balance between accuracy and speed. This new procedure can thus be deplored by experienced as well as beginner-level TMS researchers. [ABSTRACT FROM AUTHOR]

Background Motor cortex excitability may represent the neuronal endpoint of motivational processes and was shown to be modulated by both sexual arousal and deceptive behavior. Aim This is the first study to investigate the influence of lying and sex in heterosexual women and men based on motor-evoked potentials (MEPs) measured while viewing sexually arousing pictures. Methods Sixteen heterosexual couples were shown 360 trials consisting of pictures displaying both almost naked females and males and neutral control images. In a subsequent forced-choice question about wanting to see the respective pictures fully naked, they were instructed to either answer in agreement with or opposite to their sexual preference. Participants went through 2 blocks of answering truthfully and 2 blocks of lying, with these 4 blocks being shown in a randomized alternating order. Outcomes To measure cortical excitability, MEPs were used, evoked by single transcranial magnetic stimulation pulses between image presentation and response. Results In normalized MEPs, women and men showed higher amplitudes for preferred over non-preferred sexual stimuli, but only on a descriptive level. Planned contrasts showed higher non-normalized MEPs for lying in all picture categories. Direct comparisons to a preliminary study showed overall lower effect sizes. Clinical Implications Both sexes tend to show higher MEPs in response to their sexually preferred stimuli. MEPs are not stable markers for willful volitionally controlled deception although lying does increase cortical excitability. The present experimental design does not seem valid enough to serve as a diagnostic marker for sexual preference or paraphilia and malingering. Strengths and Limitations This is the first study investigating whether sexual motivational stimuli modulate MEPs in women, while also examining the influence of lying for both sexes. The sample was too small for some found effects to be significant. Also, the experimental setup may have been less suited for female participants in comparison to male ones. Conclusion The operationalization of sexual motivation via MEPs seems to highly depend on different experimental factors including the sex of the participants, induced motivation, and lying. [ABSTRACT FROM AUTHOR]

Objective. There is a high variability in the physiological effects of transcranial magnetic brain stimulation, resulting in limited generalizability of measurements. The cause of the variability is assumed to be primarily based on differences in brain function and structure of the stimulated individuals, while the variability of the physical properties of the magnetic stimulus has so far been largely neglected. Thus, this study is dedicated to the systematic investigation of variability in the pulse width of different TMS pulse sources at different stimulation intensities. Approach. The pulse widths of seven MagVenture® pulse sources were measured at the output of 10%-100% stimulation intensity in 10% increments via Near Field Probe and oscilloscope. The same C-B60 coil was used to deliver biphasic pulses. Pulse widths were compared between pulse sources and stimulation intensities. Main results. The mean sample pulse width was 288.11 ± 0.37 µ s, which deviates from the value of 280 µ s specified by the manufacturer. The pulse sources and stimulation intensities differ in their average pulse width ( p's < .001). However, the coefficient of variation within the groups (pulse source; stimulation intensity) were moderately low (CV = 0.13%-0.67%). Significance. The technical parameter of pulse width shows deviations from the proposed manufacturer value. According to our data, within a pulse source of the same manufacturer, the pulse width variability is minimal, but varies between pulse sources of the same and other pulse source models. Whether the observed variability in pulse width has potential physiological relevance was tested in a pilot experiment on a single healthy subject, showing no significant difference in motor evoked potential amplitude and significant difference in latencies. Future research should systematically investigate the physiological effects of different pulse lengths. Furthermore, potential hardware ageing effects and pulse amplitude should be investigated., (Creative Commons Attribution license.)