Amylopectin‐based Hydrogel Probes for Brain‐machine Interfaces

Implantable neural probes hold promise for acquiring brain data, modulating neural circuits, and treating various brain disorders. However, traditional implantable probes face significant challenges in practical applications, such as balancing sensitivity with biocompatibility and the difficulties of in situ neural information monitoring and neuromodulation. To address these challenges, this study developed an implantable hydrogel probe capable of recording neural signals, modulating neural circuits, and treating stroke. Amylopectin is integrated into the hydrogels, which can induce reorientation of the poly(3,4-ethylenedioxythiophene) (PEDOT) chain and create compliant interfaces with brain tissues, enhancing both sensitivity and biocompatibility. The hydrogel probe shows the capability of continuously recording deep brain signals for 8 weeks. The hydrogel probe is effectively utilized to study deep brain signals associated with various physiological activities. Neuromodulation and neural signal monitoring are performed directly in the primary motor cortex of rats, enabling control over their limb behaviors through evoked signals. When applied to the primary motor cortex of stroke-affected rats, neuromodulation significantly reduced the brain infarct area, promoted synaptic reorganization, and restored motor functions and balance. This research represents a significant scientific breakthrough in the design of neural probes for brain monitoring, neural circuit modulation, and the development of brain disease therapies.

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Publication Details

Journal
Advanced Materials
Published
2024-12-11
DOI
https://doi.org/10.1002/adma.202416926
Citations
22
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
5.90

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article

Amylopectin‐based Hydrogel Probes for Brain‐machine Interfaces

Yanxia Qin, Dehai Yu, Samuel M. Mugo, Chang Qi et al.
22 citations
Advanced Materials
Neuroscience and Neural Engineering
5.90
article

Amylopectin‐based Hydrogel Probes for Brain‐machine Interfaces

Yanxia Qin, Dehai Yu, Samuel M. Mugo, Chang Qi, Qiang Zhang, Hao Zhao, Hongda Wang, Yan Liu, Zhen Jing
article en
22 citations

Abstract

Implantable neural probes hold promise for acquiring brain data, modulating neural circuits, and treating various brain disorders. However, traditional implantable probes face significant challenges in practical applications, such as balancing sensitivity with biocompatibility and the difficulties of in situ neural information monitoring and neuromodulation. To address these challenges, this study developed an implantable hydrogel probe capable of recording neural signals, modulating neural circuits, and treating stroke. Amylopectin is integrated into the hydrogels, which can induce reorientation of the poly(3,4-ethylenedioxythiophene) (PEDOT) chain and create compliant interfaces with brain tissues, enhancing both sensitivity and biocompatibility. The hydrogel probe shows the capability of continuously recording deep brain signals for 8 weeks. The hydrogel probe is effectively utilized to study deep brain signals associated with various physiological activities. Neuromodulation and neural signal monitoring are performed directly in the primary motor cortex of rats, enabling control over their limb behaviors through evoked signals. When applied to the primary motor cortex of stroke-affected rats, neuromodulation significantly reduced the brain infarct area, promoted synaptic reorganization, and restored motor functions and balance. This research represents a significant scientific breakthrough in the design of neural probes for brain monitoring, neural circuit modulation, and the development of brain disease therapies.

Advanced MaterialsVol. 37(6)
University of Science and Technology of China (CN), Jilin University (CN), Chinese Academy of Sciences (CN), Changchun Institute of Applied Chemistry (CN), First Hospital of Jilin University (CN), Jilin Province Science and Technology Department (CN), MacEwan University (CA)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Neuroscience and Neural Engineering
5.90
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