ReviewChemical communications (Cambridge, England)2023
Biohybrid neural interfaces: improving the biological integration of neural implants.
Review in Chemical communications (Cambridge, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Intracranial multimodal monitoring in neurocritical care (Neurocore-iMMM): an open, decentralized consensus.Critical care (London, England) · 2024Guideline
- Advancing neuroengineering with Neuromorphic Twins.Nature communications · 2026Review
- Intracortical Microstimulation in Brain-Computer Interfaces: Evoking Perception and Plasticity.Cyborg and bionic systems (Washington, D.C.) · 2026Review
- Foreign Body Reaction to Neural Implants: A Comparative Study of Polymer Toxicity and Tissue Response.Biosensors · 2025Article
- The Collapse of Brain Clearance: Glymphatic-Venous Failure, Aquaporin-4 Breakdown, and AI-Empowered Precision Neurotherapeutics in Intracranial Hypertension.International journal of molecular sciences · 2025Review
- Revolutionizing brain‒computer interfaces: overcoming biocompatibility challenges in implantable neural interfaces.Journal of nanobiotechnology · 2025Review
- Bio-inspired electronics: Soft, biohybrid, and "living" neural interfaces.Nature communications · 2025Review
- The Crucial Role of the Blood-Brain Barrier in Neurodegenerative Diseases: Mechanisms of Disruption and Therapeutic Implications.Journal of clinical medicine · 2025Review
- Neuromorphic algorithms for brain implants: a review.Frontiers in neuroscience · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Implantable neural interfaces (NIs) have emerged in the clinic as outstanding tools for the management of a variety of neurological conditions caused by trauma or disease. However, the foreign body reaction triggered upon implantation remains one of the major challenges hindering the safety and longevity of NIs. The integration of tools and principles from biomaterial design and tissue engineering has been investigated as a promising strategy to develop NIs with enhanced functionality and performance. In this Feature Article, we highlight the main bioengineering approaches for the development of biohybrid NIs with an emphasis on relevant device design criteria. Technical and scientific challenges associated with the fabrication and functional assessment of technologies composed of both artificial and biological components are discussed. Lastly, we provide future perspectives related to engineering, regulatory, and neuroethical challenges to be addressed towards the realisation of the promise of biohybrid neurotechnology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.