Abstract
Objective
Around half of chronic pain patients report pain intensity reduction to high-frequency (10 Hz) repetitive transcranial magnetic stimulation (rTMS) delivered to the primary motor cortex (M1). However, the other half do not respond, making it essential to identify which patients are likely to benefit before starting treatment. Combining TMS with electroencephalogram (TMS-EEG) allows for exploring cortical connectivity, and evaluating this connectivity before administering rTMS may provide insights into which patients are likely to respond favorably to the treatment.
Methods
Seven chronic pain patients underwent TMS-EEG assessment of M1 before ten daily sessions of 10 Hz rTMS. Pain intensity was measured at baseline and post-treatment, with responders defined as those showing a 30% reduction on an 11-point numerical rating scale. TMS-evoked potentials were analyzed using the debiased weighted phase lag index to assess connectivity, quantified by phase (connections exceeding the 95% confidence interval) and space (Euclidean distance between significantly connected EEG channels). Normative connectivity values were also collected from 82 healthy volunteers.
Results
Four patients responded to M1 rTMS, while three did not, with an average pain intensity reduction of 1.4 ± 1.5. TMS-EEG showed low connectivity indices in all responders to rTMS, whereas two non-responders had higher indices, above the 75th percentile of healthy volunteers.
Conclusions
This pilot feasibility study showed that the use of TMS-EEG informed rTMS is feasible, and proceeding to larger randomized clinical trials will allow to test this approach.
Significance
Pre-treatment TMS-EEG connectivity measures may identify rTMS responders, optimizing chronic pain management.
Around half of chronic pain patients report pain intensity reduction to high-frequency (10 Hz) repetitive transcranial magnetic stimulation (rTMS) delivered to the primary motor cortex (M1). However, the other half do not respond, making it essential to identify which patients are likely to benefit before starting treatment. Combining TMS with electroencephalogram (TMS-EEG) allows for exploring cortical connectivity, and evaluating this connectivity before administering rTMS may provide insights into which patients are likely to respond favorably to the treatment.
Methods
Seven chronic pain patients underwent TMS-EEG assessment of M1 before ten daily sessions of 10 Hz rTMS. Pain intensity was measured at baseline and post-treatment, with responders defined as those showing a 30% reduction on an 11-point numerical rating scale. TMS-evoked potentials were analyzed using the debiased weighted phase lag index to assess connectivity, quantified by phase (connections exceeding the 95% confidence interval) and space (Euclidean distance between significantly connected EEG channels). Normative connectivity values were also collected from 82 healthy volunteers.
Results
Four patients responded to M1 rTMS, while three did not, with an average pain intensity reduction of 1.4 ± 1.5. TMS-EEG showed low connectivity indices in all responders to rTMS, whereas two non-responders had higher indices, above the 75th percentile of healthy volunteers.
Conclusions
This pilot feasibility study showed that the use of TMS-EEG informed rTMS is feasible, and proceeding to larger randomized clinical trials will allow to test this approach.
Significance
Pre-treatment TMS-EEG connectivity measures may identify rTMS responders, optimizing chronic pain management.
| Original language | English |
|---|---|
| Journal | Clinical Neurophysiology |
| ISSN | 1388-2457 |
| DOIs | |
| Publication status | E-pub ahead of print - 10 Mar 2025 |
Keywords
- Chronic pain
- Repetitive transcranial magnetic stimulation
- Cortical connectivity
- Personalized neuromodulation
- Electroencephalogram
- Debiased weighted phase lag index