Slow Gamma Suppression Correlates with Therapeutic Response to Anterior Thalamic Deep Brain Stimulation in Intractable Epilepsy
Sanger, Z. T.; Zhang, X.; Lisko, T.; Farooqi, H.; Ventz, S.; Pati, S.; Henry, T.; Darrow, D.; Park, M.; Netoff, T. I.; McGovern, R. A.
Show abstract
In drug-resistant epilepsy patients who undergo anterior thalamic deep brain stimulation (ANT-DBS), efficacy is assessed months after therapy initiation and clinicians have no guidance when choosing stimulation parameters due to the lack of real-time biomarkers. Here, we identified acute and chronic suppression of slow gamma oscillations (SGOs) (20-50Hz) in the ANT as a novel electrophysiological biomarker correlated with therapeutic response. Through analysis of an ongoing prospective ANT-DBS parameter optimization trial (N=11), 6/7 participants exhibiting SGOs were responders. Progressive suppression ("gamma fade") of SGOs under chronic stimulation correlated with long-term seizure reduction in 5/6 responders. Acute stimulation in-clinic with multiple settings suppressed SGOs in 4/5 responders, challenging fixed-programming paradigms, with only one responder using the clinical gold standard parameters at the last follow-up visit. These findings establish SGO suppression as a potential multiscale biomarker for responder identification, parameter titration, and therapeutic tracking for precise, biomarker-guided intervention.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Controlling pallidal oscillations in real-time in Parkinson's disease using evoked interference deep brain stimulation (eiDBS): proof of concept in the human 95%
- Analyses of biomarkers for tremor using local field potentials recorded from deep brain stimulation electrodes in the thalamus 95%
- Automated artifact injection into sensing-capable brain modulation devices for neural-behavioral synchronization and the influence of device state 95%
Similar papers in this journal
Similar papers in this journal
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.