Longevity of Deep Brain Stimulation in Essential Tremor: A Comparison of Omnidirectional and Directional Leads.

Background And Objectives: Patients undergoing thalamic ventral intermediate nucleus stimulation to treat essential tremor (ET) develop tolerance over time, requiring higher stimulation amplitudes that lead to more frequent battery changes and suboptimal tremor control. The study objective is to determine whether amplitude tolerance differs between patients with omnidirectional vs directional leads.

Methods: We conducted a retrospective analysis of ET patients with omnidirectional and directional leads implanted between 2005 and 2022.

Machine Learning in Pain Neuromodulation.

This chapter highlights the intersection of pain neuromodulation and machine learning (ML), exploring current limitations in pain management and how ML techniques can address these challenges. Neuromodulation technologies, such as spinal cord stimulation (SCS), have emerged as promising interventions for chronic pain, but limitations such as patient selection have resulted in high rates of failure and costly removal of these devices. ML offers a powerful approach to augment pain management outcomes by leveraging predictive modeling for enhanced patient selection, adaptive algorithms for programming optimization, and identification of objective biomarkers for improved outcome assessment.

Use of Antibacterial Envelopes in Neuromodulation Surgeries With Implantable Device Insertion: A Systematic Review and Meta-Analysis.

Background And Objectives: Neuromodulation is an advanced therapeutic intervention for managing various neurological, psychiatric, and functional disorders. However, a significant challenge is the risk of infections at the device implantation site. Previous studies have shown that antibacterial envelopes used in cardiovascular surgeries significantly reduce infection risk.