Evidence map›Paper›PMID 33310538›Full record

ReviewBiomaterials2021

How is flexible electronics advancing neuroscience research?

Yihang Chen, Nicholas J Rommelfanger, Ali I Mahdi, Xiang Wu, Scott T Keene, Abdulmalik Obaid, Alberto Salleo, Huiliang Wang, Guosong Hong

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biomaterials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Autonomous Polymer Frameworks for Sustainable Tissue-Interfaced Plastic Bioelectronics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yihang ChenDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA.
Nicholas J RommelfangerDepartment of Applied Physics, Stanford University, Stanford, CA, 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA.
Ali I MahdiDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA.
Xiang WuDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA.
Scott T KeeneDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA.
Abdulmalik ObaidDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA.
Alberto SalleoDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA.
Huiliang WangDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA. Electronic address: whl0903@stanford.edu.
Guosong HongDepartment of Materials Science and Engineering, Stanford University, Stanford, CA, 94305, USA; Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, 94305, USA. Electronic address: guosongh@stanford.edu.

Funding

Brain Aging Studies with Single-Neuron Resolution Using Syringe-Injectable ElectronicsR00AG056636 · NIA · STANFORD UNIVERSITY · PI HONG, GUOSONG · 2018 to 2020
$745k
Projection Specific Modulation of Neural Activity with A Non-genetic MethodK01MH117490 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI WANG, HUILIANG · 2018 to 2021
$508k
NIA NIH HHS R00 AG056636NIMH NIH HHS K01 MH117490
6 · The paper itself

Abstract

Innovative neurotechnology must be leveraged to experimentally answer the multitude of pressing questions in modern neuroscience. Driven by the desire to address the existing neuroscience problems with newly engineered tools, we discuss in this review the benefits of flexible electronics for neuroscience studies. We first introduce the concept and define the properties of flexible and stretchable electronics. We then categorize the four dimensions where flexible electronics meets the demands of modern neuroscience: chronic stability, interfacing multiple structures, multi-modal compatibility, and neuron-type-specific recording. Specifically, with the bending stiffness now approaching that of neural tissue, implanted flexible electronic devices produce little shear motion, minimizing chronic immune responses and enabling recording and stimulation for months, and even years. The unique mechanical properties of flexible electronics also allow for intimate conformation to the brain, the spinal cord, peripheral nerves, and the retina. Moreover, flexible electronics enables optogenetic stimulation, microfluidic drug delivery, and neural activity imaging during electrical stimulation and recording. Finally, flexible electronics can enable neuron-type identification through analysis of high-fidelity recorded action potentials facilitated by its seamless integration with the neural circuitry. We argue that flexible electronics will play an increasingly important role in neuroscience studies and neurological therapies via the fabrication of neuromorphic devices on flexible substrates and the development of enhanced methods of neuronal interpenetration.

Indexed as

BrainElectronicsNeuronsProstheses and ImplantsBrain-machine interfacesChronic interfaceElectrophysiologyNeuron-type specificityOptogenetics

Identifiers

PMID33310538
PMCPMC7856293

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.