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McAfee, D.

Publications and source records attributed to McAfee, D..

2 recordsLinked to original sources
bioRxiv2025

Predicting Neuroplasticity Effects of Continuous Theta Burst Stimulation with Biomarkers from the Motor Evoked Potential TMS Input-Output Curve

The field of neuromodulation lacks predictors of individual differences in plasticity that influence responses to repetitive transcranial magnetic stimulation (rTMS). Continuous theta burst stimulation (cTBS), a form of rTMS known for its inhibitory effects, shows variable responses between individuals, potentially due to differences in neuroplasticity. Predicting individual cTBS effects could vastly enhance its clinical and experimental utility. This study explores whether motor evoked potential (MEP) input-output (IO) parameters measured prior to neuromodulation can predict motor cortex responses to cTBS. IO curves were sampled from healthy adults by recording MEPs over a range of single pulse TMS intensities to obtain parameters including MEPmax and S50 (midpoint intensity). Subjects later received cTBS over the same location of motor cortex and their MEPs before and after stimulation were compared. Both MEPmax and S50 predicted responses, significantly correlating (p<0.05, R2>0.25) with individuals MEP changes at 10, 20, and 30 minutes after cTBS. Further, we introduced and validated an easily implementable biomarker that does not require the time-consuming sampling of full IO curve: MEP130RMT (median of 10 MEPs at 130% RMT). MEP130RMT was also a strong predictor of cTBS response (p<0.005, R2>0.3). Head-to-head comparison against a previously studied genetic biomarker of rTMS responses (BDNF polymorphism) showed that IO based predictors had a superior performance in explaining more response variability. Thus, IO curves derived prior to cTBS administration can reliably predict cTBS-induced changes in cortical excitability. This work points toward an accessible strategy for tailoring stimulation procedures in both diagnostic and therapeutic applications of rTMS, and potentially boosting response rate to other brain stimulation approaches. HIGHLIGHTSO_LIBaseline TMS-MEP Input-Output (IO) Curve parameters significantly predict MEP responses to M1 cTBS. C_LIO_LIHigher MEPmax at baseline predicts more robust inhibitory response to cTBS, while higher midpoint intensity (S50) is associated with less response. C_LIO_LID We developed and validated a new biomarker MEP130RMT, which predicts cTBS response using just 10 baseline MEPs from single TMS pulses of 130% RMT intensity. C_LIO_LIHead to head comparison against BDNF genotyping shows superior performance of IO biomarkers. C_LI

neuroscience↗
bioRxiv2025

Dose Escalation in Pentylenetetrazol Kindling Detects Differences in Chronic Seizure Susceptibility

ObjectivePentylenetetrazol (PTZ) kindling is a widely used model for inducing epileptogenesis and evaluating long-term seizure susceptibility differences among animals. This model is typically performed by chronic, repetitive exposures to a constant subconvulsive PTZ dose. However, the effectiveness of the commonly used subconvulsive dose (35mg/kg) varies among different animal groups and experimental conditions due to factors such as species, age, sex, and genetic background. The objective of this study was to characterize a novel model of kindling, the PTZ Dose Escalation (PTZ-DE) model, which assesses chronic seizure threshold with enhanced sensitivity by empirically determining the minimally effective dose to induce PTZ kindling for specific experimental conditions. MethodsThis study investigated the efficacy and validity of the PTZ-DE model by comparing its performance to the standard PTZ kindling approach across a series of conditions. First, the ability of the PTZ-DE model to produce the gradual increase in chronic seizure severity response characteristic of PTZ kindling was compared to the standard model across animal background characteristics (strain, sex). Next, the validity of this model was investigated by determining if the PTZ-DE model could replicate similar changes in chronic seizure susceptibility previously published using the standard approach after traumatic brain injury (TBI). Lastly, the PTZ-DE models efficacy to detect seizure differences was measured in a condition (glyburide treatment) in which alterations to chronic seizure susceptibility were not detected with standard kindling. ResultsThis study found that the PTZ-DE model corrects for background differences in PTZ susceptibility, replicates known differences in chronic seizure thresholds after TBI, and identifies new alterations in seizure threshold not detected with traditional kindling methods. SignificanceThe PTZ-DE model may prove to be a superior tool to standard PTZ kindling for discovering new pathological mechanisms of epileptogenesis and for developing targeted therapies for chronic seizure management, as evidenced by its ability to detect subtle differences in seizure susceptibility across various experimental conditions.

neuroscience↗