Lower pre-treatment TMS-evoked cortical reactivity and alpha-band oscillatory dynamics predict efficacy of primary motor cortex neuromodulation for chronic pain
Journal:
medRxiv
Published Date:
Jan 1, 2025
Abstract
Repetitive transcranial magnetic stimulation (rTMS) targeting the primary motor cortex (M1) provides significant pain relief in approximately 45% of patients with chronic pain. Identifying markers that predict rTMS treatment responders to M1 before initiating treatment is crucial for informing decision-making and improving patient outcomes in clinical practice. In this secondary analysis of a clinical trial assessing the effects of rTMS on different clinical targets (NCT06395649), we employed a combination of transcranial magnetic stimulation and electroencephalography (TMS-EEG) to investigate cortical reactivity and oscillatory dynamics in 43 patients with chronic pain prior to 12 sessions of therapeutic 10 Hz rTMS applied to M1 over an 8-week period. Responders were defined as those reporting a ≥30% reduction in pain intensity on a visual analogue scale at the end of treatment. TMS-evoked cortical reactivity was assessed using global mean field power (GMFP), calculated across all electrodes, and local mean field power (LMFP), computed in 4 electrodes at the TMS stimulation site. TMS-evoked oscillatory dynamics were evaluated with event-related spectral perturbation (ERSP) and intertrial coherence (ITC) across three frequency bands: alpha (8–12 Hz), beta-1 (13–20 Hz), and beta-2 (21–30 Hz) at the stimulation site. 20 patients (47%) were responders at the end of the rTMS treatment. Compared to non-responders, responders exhibited lower GMFP and lower LMFP at the stimulation region (both P<0.05). They also showed lower alpha-band ERSP and ITC at the stimulation region (both P<0.05). These lower neurophysiological features were associated with greater reductions in pain intensity (all P<0.05). Exploratory supervised machine learning using three baseline TMS-EEG features (GMFP, alpha-band ERSP, and ITC) predicted responder status with acceptable accuracy (ROC-AUC = 0.70, PR-AUC = 0.76). Together, these results suggest that lower pre-treatment TMS-evoked cortical reactivity and alpha-band oscillatory dynamics activity predict better clinical response to rTMS in patients with chronic pain (≈ 3 in 4 Responders correctly identified). Future prospectively designed clinical studies should implement TMS-EEG assessment of the target to be used for rTMS before treatment is started, in order to prospectively test the utility of these personalized neuromodulatory interventions.