Decoding Pain-Specific Oscillations in Deep Brain Structures with a Flexible Multi-Channel Bioelectronic Interface for Precision Neuromodulation

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Authors: Yanyan Zhu, Lirui Yang, Guopei Zhou, Zhengyu Liang, Man Li, Huiran Yang, Xiaoling Wei
Cited by: 0
References: 5

Abstract

We introduce a multi-channel PEDOT:PSS-coated flexible micro-electrode array capable of stable, highresolution recordings from the mouse ventral tegmental area (VTA) for months. Using this chronic deep-brain interface, we identified three functionally distinct nociceptive-responsive neuronal subpopulations (excitatory, inhibitory, non-responsive) and revealed stimulus-locked augmentation of$\beta(15-30 ~\text{Hz})$and low-$\gamma (30-60 ~\text{Hz})$oscillations. These findings establish VTA as a previously unrecognized pain-processing node and provide candidate electrophysiological biomarkers for pain states. The technology platform opens new avenues for circuitlevel, low-addiction analgesic strategies.

Fields of Study & Subjects

Neuroscience and Neural Engineering Deep Brain Stimulation and Movement Disorders Neural dynamics and brain function

Publication details

Journal / source
IEEE International Conference on Micro Electro Mechanical Systems (MEMS)
Pages
466–469
Publication date
25 January 2026
Language
EN