Xiaoling Wei

Prof. Dr. Xiaoling Wei

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2017 in Science Advances
Verified
Journal Article
Open access
PDF file
LLLan Luan
Lan Luan
XWXiaoling Wei
Xiaoling Wei
ZZZhengtuo Zhao
Zhengtuo Zhao
JSJennifer J. Siegel
Jennifer J. Siegel
OPOjas Potnis
Ojas Potnis
CXChong Xie
Chong Xie
Subcellular-sized, ultraflexible electrodes form seamless integration with the living brain and afford chronically reliable recording.

24 February 2017 in ACS Nano
Verified
Journal Article
Closed access
Linhan LinLinhan Lin
Linhan Lin
XPXiaolei Peng
Xiaolei Peng
XWXiaoling Wei
Xiaoling Wei
ZMZhangming Mao
Zhangming Mao
CXChong Xie
Chong Xie
YZYuebing Zheng
Yuebing Zheng

10 March 2018 in Advanced Science
Verified
Journal Article
Open access
PDF file
XWXiaoling Wei
Xiaoling Wei
LLLan Luan
Lan Luan
ZZZhengtuo Zhao
Zhengtuo Zhao
XLXue Li
Xue Li
HZHanlin Zhu
Hanlin Zhu
CXChong Xie
Chong Xie
Understanding brain functions at the circuit level requires time‐resolved simultaneous measurement of a large number of densely distributed neurons, which remains a great challenge for current neural technologies. In particular, penetrating neural electrodes allow for recording from individual neurons at high temporal resolution, but often have larger dimensions than the biological matrix, which induces significant damage to brain tissues and therefore precludes the high implant density that is necessary for mapping large neuronal populations with full coverage. Here, it is demonstrated that nanofabricated ultraflexible electrode arrays with cross‐sectional areas as small as sub‐10 µm2 can overcome this physical limitation. In a mouse model, it is shown that these electrodes record action potentials with high signal‐to‐noise ratio; their dense arrays allow spatial oversampling; and their multiprobe implantation allows for interprobe spacing at 60 µm without eliciting chronic neuronal degeneration. These results present the possibility of minimizing tissue displacement by implanted ultraflexible electrodes for scalable, high‐density electrophysiological recording that is capable of complete neuronal circuitry mapping over chronic time scales.

30 April 2019 in Journal of Neural Engineering
Verified
Journal Article
Closed access
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ZZZhengtuo Zhao
Zhengtuo Zhao
XLXue Li
Xue Li
FHFei He
Fei He
XWXiaoling Wei
Xiaoling Wei
SLShengqing Lin
Shengqing Lin
CXChong Xie
Chong Xie
Objective . Implanted microelectrodes provide a unique means to directly interface with the nervous system but have been limited by the lack of stable functionality. There is growing evidence suggesting that substantially reducing the mechanical rigidity of neural electrodes promotes tissue compatibility and improves their recording stability in both the short- and long-term. However, the miniaturized dimensions and ultraflexibility desired for mitigating tissue responses preclude the probe’s self-supported penetration into the brain tissue. Approach . Here we demonstrate the high-throughput implantation of multi-shank ultraflexible neural electrode arrays with surgical footprints as small as 200 µ m 2 in a mouse model. This is achieved by using arrays of tungsten microwires as shuttle devices, and bio-dissolvable adhesive polyethylene glycol (PEG) to temporarily attach a shank onto each microwire. Main results . We show the ability to simultaneously deliver electrode arrays in designed patterns, to adjust the implantation locations of the shanks by need, to target different brain structures, and to control the surgical injury by reducing the microwire diameters to cellular scale. Significance . These results provide a facile implantation method to apply ultraflexible neural probes in scalable neural recording.

13 April 2016 in Advanced Materials
Verified
Journal Article
Closed access
PDF file
YYYou Yu
You Yu
XXXiang Xiao
Xiang Xiao
YZYaokang Zhang
Yaokang Zhang
KLKan Li
Kan Li
CYCasey Yan
Casey Yan
ZZZijian ZHENG
Zijian ZHENG

8 November 2022 in Microsystems & Nanoengineering
Verified
Journal Article
Open access
PDF file
YZYu Zhou
Yu Zhou
CGChi Gu
Chi Gu
JLJizhi Liang
Jizhi Liang
BZBohan Zhang
Bohan Zhang
HYHuiran Yang
Huiran Yang
XWXiaoling Wei
Xiaoling Wei
The combination of optogenetics and electrophysiological recording enables high-precision bidirectional interactions between neural interfaces and neural circuits, which provides a promising approach for the study of progressive neurophysiological phenomena. Opto-electrophysiological neural probes with sufficient flexibility and biocompatibility are desirable to match the low mechanical stiffness of brain tissue for chronic reliable performance. However, lack of rigidity poses challenges for the accurate implantation of flexible neural probes with less invasiveness. Herein, we report a hybrid probe (Silk-Optrode) consisting of a silk protein optical fiber and multiple flexible microelectrode arrays. The Silk-Optrode can be accurately inserted into the brain and perform synchronized optogenetic stimulation and multichannel recording in freely behaving animals. Silk plays an important role due to its high transparency, excellent biocompatibility, and mechanical controllability. Through the hydration of the silk optical fiber, the Silk-Optrode probe enables itself to actively adapt to the environment after implantation and reduce its own mechanical stiffness to implant into the brain with high fidelity while maintaining mechanical compliance with the surrounding tissue. The probes with 128 recording channels can detect high-yield well-isolated single units while performing intracranial light stimulation with low optical losses, surpassing previous work of a similar type. Two months of post-surgery results suggested that as-reported Silk-Optrode probes exhibit better implant-neural interfaces with less immunoreactive glial responses and tissue lesions.