In Vivo Chronic Brain Cortex Signal Recording Based on a Soft Conductive Hydrogel Biointerface.
Chiara RinoldiYasamin ZiaiSeyed Shahrooz ZargarianPaweł NakielskiKrzysztof ZembrzyckiMohammad Ali Haghighat BayanAnna Beata ZakrzewskaRoberto FiorelliMassimiliano LanziAgnieszka Kostrzewska-KsiężykRafał CzajkowskiEwa KublikLeszek KaczmarekFilippo PieriniPublished in: ACS applied materials & interfaces (2022)
In neuroscience, the acquisition of neural signals from the brain cortex is crucial to analyze brain processes, detect neurological disorders, and offer therapeutic brain-computer interfaces. The design of neural interfaces conformable to the brain tissue is one of today's major challenges since the insufficient biocompatibility of those systems provokes a fibrotic encapsulation response, leading to an inaccurate signal recording and tissue damage precluding long-term/permanent implants. The design and production of a novel soft neural biointerface made of polyacrylamide hydrogels loaded with plasmonic silver nanocubes are reported herein. Hydrogels are surrounded by a silicon-based template as a supporting element for guaranteeing an intimate neural-hydrogel contact while making possible stable recordings from specific sites in the brain cortex. The nanostructured hydrogels show superior electroconductivity while mimicking the mechanical characteristics of the brain tissue. Furthermore, in vitro biological tests performed by culturing neural progenitor cells demonstrate the biocompatibility of hydrogels along with neuronal differentiation. In vivo chronic neuroinflammation tests on a mouse model show no adverse immune response toward the nanostructured hydrogel-based neural interface. Additionally, electrocorticography acquisitions indicate that the proposed platform permits long-term efficient recordings of neural signals, revealing the suitability of the system as a chronic neural biointerface.
Keyphrases
- resting state
- drug delivery
- functional connectivity
- white matter
- cerebral ischemia
- tissue engineering
- hyaluronic acid
- immune response
- wound healing
- mouse model
- machine learning
- emergency department
- drug release
- oxidative stress
- gold nanoparticles
- multiple sclerosis
- systemic sclerosis
- toll like receptor
- mass spectrometry
- lipopolysaccharide induced
- idiopathic pulmonary fibrosis
- deep learning
- high resolution
- electronic health record