ReviewFrontiers in systems neuroscience2016
Neural Substrate Expansion for the Restoration of Brain Function.
Review in Frontiers in systems neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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Who cites it
13 citing papers in PubMed.
- Training-induced circuit-specific excitatory synaptogenesis in mice is required for effort control.Nature communications · 2023Article
- Cell Therapy for Stroke: A Mechanistic Analysis.Neurosurgery · 2021Review
- Emerging regenerative medicine and tissue engineering strategies for Parkinson's disease.NPJ Parkinson's disease · 2020Review
- Article
- Transplantation of Human Brain Organoids: Revisiting the Science and Ethics of Brain Chimeras.Cell stem cell · 2019Review
- Functional Cortical Axon Tracts Generated from Human Stem Cell-Derived Neurons.Tissue engineering. Part A · 2019Article
- Applications of Human Brain Organoids to Clinical Problems.Developmental dynamics : an official publication of the American Association of Anatomists · 2019Review
- Bioscaffold-Induced Brain Tissue Regeneration.Frontiers in neuroscience · 2019Review
- Engineered Axonal Tracts as "Living Electrodes" for Synaptic-Based Modulation of Neural Circuitry.Advanced functional materials · 2018Article
- Recording Neural Activity Based on Surface Plasmon Resonance by Optical Fibers-A Computational Analysis.Frontiers in computational neuroscience · 2018Article
- Emerging Frontiers of Neuroengineering: A Network Science of Brain Connectivity.Annual review of biomedical engineering · 2017Review
- Anatomically Inspired Three-dimensional Micro-tissue Engineered Neural Networks for Nervous System Reconstruction, Modulation, and Modeling.Journal of visualized experiments : JoVE · 2017Article
- Connecting the Brain to Itself through an Emulation.Frontiers in neuroscience · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Restoring neurological and cognitive function in individuals who have suffered brain damage is one of the principal objectives of modern translational neuroscience. Electrical stimulation approaches, such as deep-brain stimulation, have achieved the most clinical success, but they ultimately may be limited by the computational capacity of the residual cerebral circuitry. An alternative strategy is brain substrate expansion, in which the computational capacity of the brain is augmented through the addition of new processing units and the reconstitution of network connectivity. This latter approach has been explored to some degree using both biological and electronic means but thus far has not demonstrated the ability to reestablish the function of large-scale neuronal networks. In this review, we contend that fulfilling the potential of brain substrate expansion will require a significant shift from current methods that emphasize direct manipulations of the brain (e.g., injections of cellular suspensions and the implantation of multi-electrode arrays) to the generation of more sophisticated neural tissues and neural-electric hybrids in vitro that are subsequently transplanted into the brain. Drawing from neural tissue engineering, stem cell biology, and neural interface technologies, this strategy makes greater use of the manifold techniques available in the laboratory to create biocompatible constructs that recapitulate brain architecture and thus are more easily recognized and utilized by brain networks.
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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.