Interaction between repetition suppression in motor activation and long-interval intracortical inhibition

Near-threshold recruitment characteristics of motor evoked potentials in transcranial magnetic stimulation

Transcranial magnetic stimulation (TMS) can induce motor evoked potentials (MEPs). In TMS applications, near-threshold stimulation intensities (SIs) are often used for characterizing corticospinal excitability using MEPs. We aimed to characterize the individual near-threshold recruitment of MEPs and to test the assumptions related to selection of the suprathreshold SI. We utilized MEP data from a right-hand muscle induced at variable SIs. The single-pulse TMS (spTMS) data from previous studies (27 healthy volunteers), as well as data from new measurements (10 healthy volunteers) that included also MEPs modulated by paired-pulse TMS (ppTMS), were included. The probability of MEP (p_MEP) was represented with individually fitted cumulative distribution function (CDF) with two parameters: resting motor threshold (rMT) and spread relative to rMT. MEPs were recorded with 110% and 120% of rMT as well as with Mills-Nithi upper threshold (UT). The individual near-threshold characteristics varied with CDF parameters: the rMT and the relative spread (median: 0.052). The rMT was lower with ppTMS than with spTMS (p < 0.001), while the relative spread remained similar (p = 0.812). At suprathreshold SIs, the probability of MEP was similar between UT and 110% of rMT (p_MEP > 0.88), and higher for 120% of rMT (p_MEP > 0.98). The individual near-threshold characteristics determine how probably MEPs are produced at common suprathreshold SIs. At the population level, the used SIs UT and 110% of rMT produced MEPs at similar probability. The individual variability in the relative spread parameter was large; therefore, the method of determining the proper suprathreshold SI for TMS applications is of crucial importance.

Identifying novel biomarkers with TMS-EEG - Methodological possibilities and challenges

Biomarkers are essential for understanding the underlying pathologies in brain disorders and for developing effective treatments. Combined transcranial magnetic stimulation and electroencephalography (TMS-EEG) is an emerging neurophysiological tool that can be used for biomarker development. This method can identify biomarkers associated with the function and dynamics of the inhibitory and excitatory neurotransmitter systems and effective connectivity between brain areas. In this review, we outline the current state of the TMS-EEG biomarker field by summarizing the existing protocols and the possibilities and challenges associated with this methodology.

Changes in dendritic arborization related to the estrous cycle in pyramidal neurons of layer V of the motor cortex

Many studies on neuronal plasticity have been conducted in the hippocampus and sensory cortices. In female rats in the estrus phase, when there is a low concentration of estradiol in the blood, there is a reduction in the dendritic spine density of CA1 neurons, while an increase in dendritic spines has been observed during metestrus, when progesterone levels are high. In comparison with the hippocampus, less information is known about dendritic remodeling of the motor cortex. Thus, the objective of the present study was to evaluate the neuronal morphology of pyramidal cells of layer V of the motor cortex in each phase of the estrous cycle. For this, we used Long-Evans strain rats and formed 4 experimental groups according to the phase of the estrous cycle at the moment of sacrifice: proestrus, estrus, metestrus, or diestrus. All animals were gently monitored regarding the expression of one estrous cycle in order to determine the regularity of the cycle. We obtained the brains in order to evaluate the neuronal morphology of neurons of layer V of the primary motor cortex following the Golgi-Cox method and Sholl analysis. Our results show that the dendritic arborization of neurons of rats sacrificed in the metestrus phase is reduced compared to the other phases of the estrous cycle. However, we did not find changes in dendritic spine density between experimental groups. When comparing our results with previous data, we can suggest that estrogens and progesterone differentially promote plasticity events in pyramidal neurons between different brain regions.