Threshold Tracked Short-Interval Intracortical Inhibition More Closely Predicts the Cortical Response to Transcranial Magnetic Stimulation.

OBJECTIVES: Short-interval intracortical inhibition (SICI) is a paired-pulse transcranial magnetic stimulation (TMS) technique that is commonly used to quantify intracortical inhibitory tone in the primary motor cortex. Whereas conventional measures of SICI (C-SICI) quantify inhibition by the amplitude of the motor evoked potential (MEP), alternative measures involving threshold tracked SICI (TT-SICI) instead record the TMS intensity required to maintain a consistent MEP amplitude. Although both C-SICI and TT-SICI are thought to reflect inhibition mediated by γ-aminobutyric acid type A (GABAA) receptors, recent evidence suggests that the mechanisms involved with each measure may not be equivalent. This study aimed to use combined TMS-electroencephalography (TMS-EEG) to investigate the cortical mechanisms contributing to C-SICI and TT-SICI. MATERIALS AND METHODS: In 20 young adults (30.6 ± 8.1 years), C-SICI and TT-SICI were recorded with multiple conditioning intensities, using both posterior-to-anterior (PA) and anterior-to-posterior (AP) induced currents, and this was compared with the TMS-evoked EEG potential (TEP). RESULTS: We found no relationship between the magnitude of C-SICI and TT-SICI within each current direction. However, there was a positive relationship between the slope (derived from multiple conditioning intensities) of inhibition recorded with C-SICI and TT-SICI, but only with a PA current. Furthermore, irrespective of conditioning intensity or current direction, measures of C-SICI were unrelated to TEP amplitude. In contrast, TT-SICI was predicted by the P30 generated with AP stimulation. CONCLUSIONS: Our findings further demonstrate that C-SICI and TT-SICI likely reflect different facets of GABAA-mediated processes, with inhibition produced by TT-SICI appearing to align more closely with TMS-EEG measures of cortical excitability.

Contribution of the brain-derived neurotrophic factor and neurometabolites to the motor performance.

Individual motor performance ability is affected by various factors. Although the key factor has not yet completely been elucidated, the brain-derived neurotrophic factor (BDNF) genotype as well as neurometabolites may become contibuting factors depending on the learning stage. We investigated the effects of the Met allele of the BDNF gene and those of the neurometabolites on visuomotor learning. In total, 43 healthy participants performed a visuomotor learning task consisting of 10 blocks using the right index finger (Val66Val, n = 15; Val66Met, n = 15; and Met66Met, n = 13). Glutamate plus glutamine (Glx) concentrations in the primary motor cortex, primary somatosensory cortex (S1), and cerebellum were evaluated using 3-T magnetic resonance spectroscopy in 19 participants who participated in the visuomotor learning task. For the learning stage, the task error (i.e., learning ability) was significantly smaller in the Met66Met group compared with that observed in the remaining groups, irrespective of the learning stage (all p values < 0.003). A significant difference was observed between the Val66Val and Met66Met groups in the learning slope (i.e., learning speed) in the early learning stage (p = 0.048) but not in the late learning stage (all p values> 0.54). Moreover, positive correlations were detected between the learning slope and Glx concentrations in S1 only in the early learning stage (r = 0.579, p = 0.009). The BDNF genotype and Glx concentrations in S1 partially contribute to interindividual variability on learning speed in the early learning stage.