4.5 Article

Mesh electronics: a new paradigm for tissue-like brain probes

Journal

CURRENT OPINION IN NEUROBIOLOGY
Volume 50, Issue -, Pages 33-41

Publisher

CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2017.11.007

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Funding

  1. Air Force Office of Scientific Research [FA9550-14-1-0136]
  2. Harvard University Physical Sciences and Engineering Accelerator award
  3. National Institute on Drug Abuse of the National Institutes of Health [1R21DA043985-01]
  4. National Institutes of Health Director's Pioneer Award [1DP1EB025835-01]
  5. American Heart Association Postdoctoral Fellowship [16POST27250219]
  6. Pathway to Independence Award from the National Institute on Aging of the National Institutes of Health [1K99AG056636-01]

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Existing implantable neurotechnologies for understanding the brain and treating neurological diseases have intrinsic properties that have limited their capability to achieve chronically-stable brain interfaces with single-neuron spatiotemporal resolution. These limitations reflect what has been dichotomy between the structure and mechanical properties of living brain tissue and non-living neural probes. To bridge the gap between neural and electronic networks, we have introduced the new concept of mesh electronics probes designed with structural and mechanical properties such that the implant begins to 'look and behave' like neural tissue. Syringe-implanted mesh electronics have led to the realization of probes that are neuro-attractive and free of the chronic immune response, as well as capable of stable long-term mapping and modulation of brain activity at the single-neuron level. This review provides a historical overview of a 10-year development of mesh electronics by highlighting the tissue-like design, syringe-assisted delivery, seamless neural tissue integration, and single-neuron level chronic recording stability of mesh electronics. We also offer insights on unique near-term opportunities and future directions for neuroscience and neurology that now are available or expected for mesh electronics neurotechnologies.

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