Increased entrainment and decreased excitability predict efficacious treatment of closed-loop phase-locked rTMS for treatment-resistant depression
Sun, X.; Doose, J.; Faller, J.; McIntosh, J.; Saber, G. T.; Huffman, S.; Pantazatos, S.; Yuan, H.; Goldman, R.; Brown, T.; George, M. S.; Sajda, P.
Show abstract
Transcranial magnetic stimulation (TMS) is an FDA-approved therapy for major depressive disorder (MDD), specifically for patients who have treatment-resistant depression (TRD). However, TMS produces response or remission in about 50% of patients but is ineffective for the other 50%. Limits on efficacy may be due to individual patient variability, but to date, there are no good biomarkers or measures of target engagement. In addition, TMS efficacy is typically not assessed until a six-week treatment ends, precluding the evaluation of intermediate improvements during the treatment duration. Here, we report on results using a closed-loop phase-locked repetitive TMS (rTMS) treatment that synchronizes the delivery of rTMS based on the timing of the pulses relative to a patients individual electroencephalographic (EEG) prefrontal alpha oscillation informed by functional magnetic resonance imaging (fMRI). We find that, in responders, synchronized delivery of rTMS produces two systematic changes in brain dynamics. The first change is a decrease in global cortical excitability, and the second is an increase in the phase entrainment of cortical dynamics. These two effects predict clinical outcomes in the synchronized treatment group but not in an active-treatment unsynchronized control group. The systematic decrease in excitability and increase in entrainment correlated with treatment efficacy at the endpoint and intermediate weeks during the synchronized treatment. Specifically, we show that weekly tracking of these biomarkers allows for efficacy prediction and potential of dynamic adjustments through a treatment course, improving the overall response rates.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Transcranial direct current stimulation elevates the baseline activity while sharpening the spatial tuning of the human visual cortex 96%
- TMS-induced modulation of brain networks and its associations to rTMS treatment for depression: a concurrent fMRI-EEG-TMS study 95%
- Simultaneous stereo-EEG and high-density scalp EEG recordings to study the effects of intracerebral stimulation parameters 95%
Similar papers in this journal
- Lateral Prefrontal Theta Oscillations Causally Drive a Computational Mechanism Underlying Conflict Expectation and Adaptation 94%
- Integrating electric field modelling and neuroimaging to explain inter-individual variability of tACS effects 94%
- Multisensory Flicker Modulates Widespread Brain Networks and Reduces Interictal Epileptiform Discharges in Humans 94%
Similar papers in this journal
- Multimodal personalization of transcranial direct current stimulation for modulation of sensorimotor integration 95%
- tDCS modulates effective connectivity during motor command following; a potential therapeutic target for disorders of consciousness 94%
- Rapid estimation of cortical neuron activation thresholds by transcranial magnetic stimulation using convolutional neural networks 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.