Bhatt Suyash, Masterson Emily, Zhu Tianxiang, Eizadi Jenna, George Judy, Graupe Nesya, Vareberg Adam, Phillips Jack, Bok Ilhan, Dwyer Matthew, Ashtiani Alireza, Hai Aviad
Department of Biomedical Engineering, University of Wisconsin-Madison.
Department of Electrical & Computer Engineering, University of Wisconsin-Madison.
Sens Actuators B Chem. 2023 May 1;382. doi: 10.1016/j.snb.2023.133549. Epub 2023 Feb 21.
Wireless brain technologies are empowering basic neuroscience and clinical neurology by offering new platforms that minimize invasiveness and refine possibilities during electrophysiological recording and stimulation. Despite their advantages, most systems require on-board power supply and sizeable transmission circuitry, enforcing a lower bound for miniaturization. Designing new minimalistic architectures that can efficiently sense neurophysiological events will open the door to standalone microscale sensors and minimally invasive delivery of multiple sensors. Here we present a circuit for sensing ionic fluctuations in the brain by an ion-sensitive field effect transistor that detunes a single radiofrequency resonator in parallel. We establish sensitivity of the sensor by electromagnetic analysis and quantify response to ionic fluctuations . We validate this new architecture during hindpaw stimulation in rodents and verify correlation with local field potential recordings. This new approach can be implemented as an integrated circuit for wireless recording of brain electrophysiology.
无线脑技术通过提供新平台来增强基础神经科学和临床神经学，这些新平台在电生理记录和刺激过程中可将侵入性降至最低并优化各种可能性。尽管它们具有诸多优势，但大多数系统需要板载电源和相当大的传输电路，这限制了小型化的下限。设计能够有效感知神经生理事件的新型简约架构，将为独立的微型传感器以及多个传感器的微创递送打开大门。在此，我们展示了一种电路，该电路通过一个与单个射频谐振器并联失谐的离子敏感场效应晶体管来感知大脑中的离子波动。我们通过电磁分析确定了传感器的灵敏度，并量化了对离子波动的响应。我们在啮齿动物后爪刺激过程中验证了这种新架构，并证实了其与局部场电位记录的相关性。这种新方法可实现为用于脑电生理无线记录的集成电路。
