SDG3专题征稿 | 适应性脑机接口

客座编辑

蔡新霞研究员目前就职于中国科学院空天信息创新研究院传感技术国家重点实验室。她在英国格拉斯哥大学获得生物电子学、电子与电气工程博士学位。国家杰出青年科学基金获得者，长期从事神经微电极阵列脑机接口器件与系统的研究，是国家自然科学基金创新研究群体学术带头人和交叉重大项目负责人。入选国家百千万人才和北京百名领军人才工程（电子信息类），任中国电子学会会士和生物电子学分会副主任委员。

Capadona教授目前任职于凯斯西储大学生物医学工程系。他在美国佐治亚理工学院获得生物工程博士学位。他是生物材料学会、生物医学工程学会、材料研究学会和美国化学学会的成员。他的研究兴趣包括 1) 开发用于评估皮质组织-电极界面的新方法；2) 为界面上的分子和细胞水平相互作用提供新见解；3) 设计仿生材料，促进机械、化学和生物设备集成到正常健康的神经组织中，同时减轻不良的神经退化和即将发生的设备故障。

Maria Asplund 就职于查尔姆斯理工大学，她的研究兴趣包括柔性微技术、组织-设备相互作用和电子生物材料。在皇家理工学院（斯德哥尔摩，2009 年）获得博士学位后，她在德国弗莱堡大学（2011-22 年）领导了自己的研究小组，并于 2022 年在瑞典哥德堡查尔姆斯理工大学担任教授。她的团队专门研究用于高效、安全电荷注入的材料，这些材料适用于临床使用的整个参数范围，从促进伤口愈合到用于视力恢复的脑植入物。她目前拥有 ERC 概念验证资助，并且是瑞典医学工程学会的副主席。

Hofmann教授的学术生涯始于 1987 年在慕尼黑工业大学攻读应用物理学。1996 年，我在那里获得了（生物）物理学博士学位，研究生物混合半导体传感器和超薄层。1998 年之前，我在芬兰图尔库的 Åbo Akademi 和加利福尼亚州帕萨迪纳的加州理工学院以 Feodor-Lynen-Fellow 的身份从事博士后研究。之后，我前往吕贝克大学，成立了自己的生物信号处理和神经工程研究小组，并于 2003 年获得计算机科学系的资格，研究项目为硅多点微电极和个人健康监测系统。2008 年，我在那里被授予教授头衔。自 2012 年起，我担任弗莱堡大学医学中心神经电子系统部门负责人，担任 Peter-Osypka-Professor 荣誉教授。2015 年，我荣获 FRIAS-USIAS 奖学金和罗德岛大学“杰出国际学者”称号。卓越集群“Brainlinks-Braintools”和斯佩曼医学和生物学研究生院都将我列为其部分项目的首席研究员。

专题征稿介绍 

适应性脑机接口

Conformable Brain-Computer and Brain-Machine Interfaces

点击阅读原文或扫码进入征稿页面

Neural interfaces have attracted considerable interest in recent years to advanced applications in neuroscience, robotics, aerospace, artificial intelligence, and (bioelectronic) medicine. They may even influence the entertainment industry’s business model. Conformable interfaces to the surface of the scalp or body (BCI - brain-computer interfaces) or implanted into  the brain and nervous system (BMI - brain-machine interfaces) have been explored using certified materials and integration of electronic components on flexible substrates. Flexibility and softness allow these interfaces to conform to curved surfaces, even delicate body parts such as the exceptionally soft brain tissue or to limbs during movement.  Conformable interfaces start to provide robust communication channels between the brain and external artifacts like computers or robotic devices. 

The particular challenges to overcome lie in intimate contact between hardware and wetware, requiring triple functionality for a very long time for any of these devices: Substrates not only have to support stable active or passive sensors in a demanding geometrical shape, they have to minimize the biological response to foreign objects under tight physical and chemical constraints as well. The unsolved complexity of these requirements asks for novel suitable substrates, such as nanomaterials, all carbon-based materials, novel polymers or even bioproduced structures. 

And yet, as recent events concerning brain implants demonstrate, macroscopic aspects of viscoelastic matter mechanics and as well as reliable electronic packaging should not to be forgotten as well. 

Last but not least, little can be achieved with new neural interfaces, if the bottle neck provided by power limited in situ processing of the huge data volumes acquired can’t be solved reliably within the biological constraints as well. 

This collection aims to track the latest developments and publish interesting investigations on flexible BCIs. The topics will include, but are not limited to:

• Advanced BCI materials

• Novel designs and fabrications of flexible implantable neural microelectrodes

• In vitro flexible microelectrode array

• Novel methods for detecting neural signals

• Flexible electronic circuits and low-power-demanding integrated circuits for high-bandwidth data collection and processing

• Neural encoding and decoding algorithms

• Microsystems for Flexible Brain-Computer Interface

We welcome submissions on flexible Brain-Computer Interfaces. All contributions will undergo the same peer-review process and editorial standards as regular npj Flexible Electronics articles. The Guest Editors declare no competing interests with the submissions they have handled through the peer-review process.

点击“阅读原文”，访问征稿页面