Biology subjects

Gogulski, J. D.

Publications and source records attributed to Gogulski, J. D..

3 recordsLinked to original sources

bioRxiv2025

Mapping of individual somatosensory representations - comparison of fMRI and TMS

Invasive brain mapping, functional magnetic resonance imaging (fMRI) and navigated transcranial magnetic stimulation (nTMS) results indicate that somatosensory representations vary between individuals. However, it is unknown how well somatosensory representations determined using nTMS and fMRI correspond. Here, we used single-pulse nTMS and fMRI in 17 right-handed subjects to determine the S1 representation of the tip of the right index finger stimulated mechanically with a Braille device. In an nTMS mapping experiment, the S1 site at which tactile sensation was blocked by nTMS, was considered the S1 representation site (S1HS) of the fingertip. The location of S1HS varied up to 36 mm between subjects. In the fMRI experiment, passive and oddball tactile tasks were employed. The location of the somatosensory peak fMRI activation varied up to 39 mm between subjects in the passive condition and up to 84 mm in the oddball condition. Within subjects, the mean distance between the S1HS and the peak fMRI activation was 10 + 2 mm (S.E.M.) in the passive condition and 14 + 3 mm in the oddball task. Taken together, our findings underscore the importance of multimodal approaches to brain mapping in future studies.

neuroscience↗

bioRxiv2024

Sensory Entrained TMS (seTMS) enhances motor cortex excitability

Transcranial magnetic stimulation (TMS) applied to the motor cortex has revolutionized the study of motor physiology in humans. Despite this, TMS-evoked electrophysiological responses show significant variability, due in part to inconsistencies between TMS pulse timing and ongoing brain oscillations. Variable responses to TMS limit mechanistic insights and clinical efficacy, necessitating the development of methods to precisely coordinate the timing of TMS pulses to the phase of relevant oscillatory activity. We introduce Sensory Entrained TMS (seTMS), a novel approach that uses musical rhythms to synchronize brain oscillations and time TMS pulses to enhance cortical excitability. Focusing on the sensorimotor alpha rhythm, a neural oscillation associated with motor cortical inhibition, we examine whether rhythm-evoked sensorimotor alpha phase alignment affects primary motor cortical (M1) excitability in healthy young adults (n=33). We first confirmed using electroencephalography (EEG) that passive listening to musical rhythms desynchronizes inhibitory sensorimotor brain rhythms (mu oscillations) around 200 ms before auditory rhythmic events (27 participants). We then targeted this optimal time window by delivering single TMS pulses over M1 200 ms before rhythmic auditory events while recording motor-evoked potentials (MEPs; 19 participants), which resulted in significantly larger MEPs compared to standard single pulse TMS and an auditory control condition. Neither EEG measures during passive listening nor seTMS-induced MEP enhancement showed dependence on musical experience or training. These findings demonstrate that seTMS effectively enhances corticomotor excitability and establishes a practical, cost-effective method for optimizing non-invasive brain stimulation outcomes.

neuroscience↗

bioRxiv2023

Reliability of the TMS-evoked potential in dorsolateral prefrontal cortex

BackgroundWe currently lack a robust and reliable method to probe cortical excitability noninvasively from the human dorsolateral prefrontal cortex (dlPFC), a region heavily implicated in psychiatric disorders. We recently found that the strength of early and local dlPFC single pulse transcranial magnetic stimulation (TMS)-evoked potentials (EL-TEPs) varied widely depending on the anatomical subregion probed, with more medial regions eliciting stronger responses than anterolateral sites. Despite these differences in amplitude of response, the reliability at each target is not known. ObjectiveTo evaluate the reliability of EL-TEPs across the dlPFC. MethodsIn 15 healthy subjects, we quantified within-session reliability of dlPFC EL-TEPs after single pulse TMS to six dlPFC subregions. We evaluated the concordance correlation coefficient (CCC) across targets and analytical parameters including time window, quantification method, region of interest, sensor-vs. source-space, and number of trials. ResultsAt least one target in the anterior and posterior dlPFC produced reliable EL-TEPs (CCC>0.7). The medial target was most reliable (CCC = 0.78) and the most anterior target was least reliable (CCC = 0.24). ROI size and type (sensor vs. source space) did not affect reliability. Longer (20-60 ms, CCC = 0.62) and later (30-60 ms, CCC = 0.61) time windows resulted in higher reliability compared to earlier and shorter (20-40 ms, CCC 0.43; 20-50 ms, CCC = 0.55) time windows. Peak-to-peak quantification resulted in higher reliability than the mean of the absolute amplitude. Reliable EL-TEPs (CCC up to 0.86) were observed using only 25 TMS trials for a medial dlPFC target. ConclusionsMedial TMS location, wider time window (20-60ms), and peak-to-peak quantification improved reliability. Highly reliable EL-TEPs can be extracted from dlPFC after only a small number of trials. HighlightsO_LIMedial dlPFC target improved EL-TEP reliability compared to anterior targets. C_LIO_LIAfter optimizing analytical parameters, at least one anterior and one posterior target was reliable (CCC>0.7). C_LIO_LILonger (20-60 ms) and later (30-60 ms) time windows were more reliable than earlier and shorter (20-40 ms or 20-50 ms) latencies. C_LIO_LIPeak-to-peak quantification resulted in higher reliability compared to the mean of the absolute amplitude. C_LIO_LIAs low as 25 trials can yield reliable EL-TEPs from the dlPFC. C_LI

neuroscience↗