bioRxiv Science⌕ Search

Biology subjects

Montemagno, K. T.

Publications and source records attributed to Montemagno, K. T..

2 recordsLinked to original sources

Direct Assessment of Short-Latency Intracortical Inhibition via Immediate TMS-Evoked Potentials

Short-interval intracortical inhibition (SICI) is the most widely used neurophysiological index of GABAergic inhibition in the human cortex. However, it is an indirect measure, inferring synaptic inhibition from suppression of peripherally recorded motor-evoked potentials (MEPs) elicited by transcranial magnetic stimulation (TMS). In the standard protocol, a subthreshold conditioning pulse suppresses the MEP evoked by a suprathreshold test pulse delivered 1-5 ms later. Interpretation is further complicated by temporal overlap with short-interval intracortical facilitation (SICF), reflecting excitatory interactions at interstimulus intervals of [~]1.5 and 2.7 ms. To overcome these limitations, we recorded immediate TMS-evoked EEG potentials (iTEPs; 1-10 ms post-stimulus) as a more direct measure of motor cortical activity in 16 healthy volunteers (20-35 years; 7 male). The conventional SICI protocol suppressed only later components of the iTEP, likely corresponding to late corticospinal volleys previously identified in epidural spinal recordings after suprathreshold TMS, while the earliest iTEP component was unaffected. Importantly, later iTEPs were suppressed to a similar extent whether conditioning-test intervals coincided with SICF peaks or troughs, and the magnitude of iTEP suppression correlated with concurrently recorded paired-pulse MEP suppression. SICI also reduced an early TEP component (N15; 10-20 ms), but paired-pulse N15 suppression showed a different dependence on stimulus intensity and did not correlate with MEP suppression. These findings demonstrate that SICI measured via MEPs does not reflect a global index of cortical GABAergic motor cortical inhibition but instead reflects inhibition within specific cortical circuits that can be investigated directly with iTEPs.

neuroscience↗

Sensory-evoked perturbational complexity in human EEG: Effects of stimulus temperature and peripheral sensitisation in nociceptive processing

While painful and non-painful thermal stimuli elicit a rich dynamical pattern of brain activity, canonical event related potentials (ERP) analyses quantify only limited aspects of this pattern. In this study, we complement the conventional ERP approach by quantifying the spatial and temporal differentiation of EEG responses to thermal stimulation using the perturbational complexity index (PCI), a complexity metric grounded in systems dynamic and information theory. Using two publicly available datasets, we computed state-transition PCI from thermal-evoked responses recorded over 32-64 scalp channels. Dataset 1 combined three stimulus intensities (10 {degrees}C, 42 {degrees}C, 60 {degrees}C) with topical application of thermosensitive TRP-channel agonists (menthol 20 %, capsaicin 1 %) or vehicle; Dataset 2 manipulated the block-wise transition probability of receiving cold ({approx} 15 {degrees}C) or hot ({approx} 58 {degrees}C) stimulation. PCI scaled non-linearly with temperature, being lowest at the intermediate 42 {degrees}C and highest at the cold and hot extremes (Datasets 1 and 2). PCI was sensitive both to peripheral sensitisation, as topical menthol and capsaicin selectively reduced PCI during cold stimulation (Dataset 1), and to changes in block-wise stimulus probability (Dataset 2). Across all analyses, canonical ERP peak measures (N2-P2 amplitude/latency) failed to account for PCI variance. These findings demonstrate that PCI reflects the brains response to exogenous, sensory-driven thermal perturbations, quantifying changes in neural complexity associated with both stimulus intensity, peripheral sensitisation and probabilistic manipulations. This supports its applicability as a measure of temporal and spatial differentiation in EEG responses relevant to pain neuroscience. SummaryThis study quantified the spatio-temporal complexity of electroencephalographic responses to thermal and pain stimuli. Complexity was sensitive to simulation temperature, chemical sensitization and probabilistic manipulations.

neuroscience↗