This first-in-human trial tested a closed-loop system that automatically adjusts transcranial focused ultrasound intensity based on real-time EEG signatures of default mode network activity in 38 patients with treatment-resistant depression.
This first-in-human trial tested a closed-loop system that automatically adjusts transcranial focused ultrasound (tFUS) intensity based on real-time EEG signatures of default mode network (DMN) activity in 38 patients with treatment-resistant depression.
The adaptive system outperformed fixed-dose tFUS, achieving 62% response rate vs 31% with conventional protocols.
A Stanford Medicine study published in Nature Medicine demonstrated an AI model capable of analyzing overnight sleep polysomnography recordings to predict the risk of over 130 health conditions — including cardiac, neurological, and respiratory disorders — often years before clinical symptoms appear...
Multiple research sites in 2026 are advancing closed-loop adaptive deep brain stimulation for Parkinson's disease, where the device reads neural signatures in real time and adjusts stimulation parameters automatically. This approach reduces side effects and improves motor control compared to conventional continuous DBS...
A feasibility study published in June 2026 investigated home-based transcutaneous auricular vagus nerve stimulation for generalized anxiety disorder. Participants using daily 30-minute taVNS sessions showed significant reductions in clinician-rated anxiety severity and improvements in heart rate variability metrics over 8 weeks...
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