Intracranial Biomarkers for Anterior Thalamic Deep Brain Stimulation in Epilepsy: a long-term observational study
Aiello, G.; Stieglitz, L.; Belvedere, A.; Dubcek, T.; Polania, R.; Imbach, L.
Show abstract
Deep brain stimulation (DBS) of the anterior nucleus of the thalamus (ANT) is an established treatment for patients with drug-refractory epilepsy (DRE), yet long-term therapeutic outcomes are highly variable and challenging to predict. This variability is compounded by the delayed and gradual effects of DBS, the difficulty of consistent seizure monitoring, and the absence of physiological biomarkers to inform treatment. In this study, we analyzed longitudinal intracranial recordings over a four-year observational period from a cohort of 22 patients with ANT-DBS. Our primary goal is the identification of neurophysiological signatures that could predict and track clinical DBS response. Our results show that DBS-responders and non-responders exhibit distinct ANT spectral trajectories over time, with responders showing a progressive increase in higher frequencies ({beta}1,{gamma} ) and decreased lower-frequency ({delta}, {theta}) activity, as compared to non-responders. Notably, these dynamic biomarkers, particularly high-to-low frequency ratios (e.g., {beta}1/{theta}), enabled the early discrimination of clinical outcomes. Additionally, we provide evidence of robust circadian and multidien rhythms in ANT local field potentials, with further analyses supporting the feasibility of adaptive stimulation protocols to improve therapeutic outcomes. Together, these findings propose ANT spectral dynamics in outpatient settings as a promising tool for early prediction of therapeutic efficacy and pave the way for biomarker-guided optimization of DBS therapy in epilepsy. HighlightsO_LILongitudinal analysis of spectral activity evolution in the anterior thalamic nucleus (ANT) revealed different temporal dynamics in responders and non-responders to ANT-Deep Brain Stimulation (DBS). C_LIO_LIHigh-to-low frequency power ratios (e.g., {beta}1/{theta}) enable discrimination between super-responders and non-responders for assessing therapeutic efficacy, offering a potential tool for early therapy evaluation. C_LIO_LIANT activity exhibits circadian and multidien fluctuations, reinforcing its potential as a signal source for adaptive DBS strategies tailored to individual brain states. C_LI
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Multisensory Flicker Modulates Widespread Brain Networks and Reduces Interictal Epileptiform Discharges in Humans 96%
- Shared pathway-specific network mechanisms of dopamine and deep brain stimulation for the treatment of Parkinson's disease 96%
- Integrating electric field modelling and neuroimaging to explain inter-individual variability of tACS effects 94%
Similar papers in this journal
Similar papers in this journal
- Flexible and Stable Cycle-by-Cycle Phase-Locked Deep Brain Stimulation System Targeting Brain Oscillations in the Management of Movement Disorders 96%
- Pre-stimulus Brain States Predict and Control Variability in Stimulation Responses 95%
- Analyses of biomarkers for tremor using local field potentials recorded from deep brain stimulation electrodes in the thalamus 95%
Similar papers in this journal
- Respiratory modulations of cortical excitabilityand interictal spike timing in focal epilepsy - a case report 94%
- Non-vectorial Integration of Intersectional Short-Pulse Stimulation Enables Enhanced Deep Brain Modulation and Effective Seizure Control 93%
- The Interpretable Multimodal Machine Learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy 88%
"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.