光遗传学
电生理学
类有机物
微电极
多电极阵列
计算机科学
神经活动
生物神经网络
神经工程
人工神经网络
脑-机接口
神经科学
接口(物质)
心脏电生理学
神经假体
纳米技术
神经假体
人工智能
生物系统
神经生理学
作者
Naijia Liu,Shahrzad Shiravi,Tianqi Jin,Jiaqi Liu,Zhengguang Zhu,Jiying Li,Ingrid Cheung,Haohui Zhang,Yue Wang,Qingyuan Li,Zijie Xu,Liangsong Zeng,Maria J. Quezada,Andres Eduardo Lorenzo Villalobos,Yasaman Samei,Shreyaa Khanna,Shuozhen Bao,Mingzheng Wu,Sida Liang,Xu Cheng
标识
DOI:10.1038/s41551-026-01620-y
摘要
Human neural organoids are essential platforms for fundamental and applied research due partly to their complex, three-dimensional neuronal circuit geometries. Standard and recently developed neural interface technologies have shortcomings in their ability to electrically characterize and control neural activity in these systems, owing to their limited accessibility to neuron populations and microelectrode densities. Here we report a shape-matched, soft, three-dimensional mesoscale framework with nearly full surface coverage to neural organoids that supports high channel count interfaces for precision electrophysiology and programmed electrical stimulation. The neural interface is designed via inverse modelling techniques and self-assembles three-dimensionally around the organoids. Three-dimensional reconstruction of neural activities allows high-resolution spatial electrophysiology to reveal network-level characteristics in neural organoids. The porous framework offers options for simultaneous fluorescence imaging, localized optogenetic neuromodulation, longitudinal monitoring, pharmacological evaluations and modelling of neural disease phenotypes, demonstrating broad applicability for studies of human-derived cortical and spinal organoids.
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