Evidence map›Paper›PMID 25546652›Full record

ReviewACS chemical neuroscience2015

Brain tissue responses to neural implants impact signal sensitivity and intervention strategies.

Takashi D Y Kozai, Andrea S Jaquins-Gerstl, Alberto L Vazquez, Adrian C Michael, X Tracy Cui

Abstract readReview
In one paragraph

Review in ACS chemical neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 313 papers.

0numbers the graph read from it
0cells of the map it votes in
313citing 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

313 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Tissue-bioelectronics interfaces.Chemical Society reviews · 2026
    Review
  9. Review
  10. Review
  11. Full-Stack Architectures for Intelligent Brain-Computer Interfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Atomically Precise Clusterzymes: A Programmable Optoelectronic Platform for Neuroscience.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  20. Article

253 more citing papers are in PubMed but not listed here.

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

5 authors.

Takashi D Y KozaiDepartment of Bioengineering, ‡Center for the Neural Basis of Cognition, §McGowan Institute for Regenerative Medicine, ∥Department of Chemistry, and ⊥Department of Radiology, University of Pittsburgh , Pittsburgh, Pennsylvania 15260, United States.
Andrea S Jaquins-Gerstl
Alberto L Vazquez
Adrian C Michael
X Tracy Cui

Funding

Improving chronic neural recording performance through biomaterial strategiesR01NS062019 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CUI, XINYAN TRACY · 2008 to 2018
$4.4M
Functional relationship between neural, metabolic and hemodynamic responsesK01NS066131 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VAZQUEZ, ALBERTO L · 2010 to 2014
$617k
Mapping Striatal Dopamine DomainsR21NS086107 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI MICHAEL, ADRIAN C · 2013 to 2014
$397k
NINDS NIH HHS 1K01NS066131NINDS NIH HHS 5R01NS062019NINDS NIH HHS K01 NS066131NINDS NIH HHS NS086107NINDS NIH HHS R01 NS062019NINDS NIH HHS R21 NS086107
6 · The paper itself

Abstract

Implantable biosensors are valuable scientific tools for basic neuroscience research and clinical applications. Neurotechnologies provide direct readouts of neurological signal and neurochemical processes. These tools are generally most valuable when performance capacities extend over months and years to facilitate the study of memory, plasticity, and behavior or to monitor patients' conditions. These needs have generated a variety of device designs from microelectrodes for fast scan cyclic voltammetry (FSCV) and electrophysiology to microdialysis probes for sampling and detecting various neurochemicals. Regardless of the technology used, the breaching of the blood-brain barrier (BBB) to insert devices triggers a cascade of biochemical pathways resulting in complex molecular and cellular responses to implanted devices. Molecular and cellular changes in the microenvironment surrounding an implant include the introduction of mechanical strain, activation of glial cells, loss of perfusion, secondary metabolic injury, and neuronal degeneration. Changes to the tissue microenvironment surrounding the device can dramatically impact electrochemical and electrophysiological signal sensitivity and stability over time. This review summarizes the magnitude, variability, and time course of the dynamic molecular and cellular level neural tissue responses induced by state-of-the-art implantable devices. Studies show that insertion injuries and foreign body response can impact signal quality across all implanted central nervous system (CNS) sensors to varying degrees over both acute (seconds to minutes) and chronic periods (weeks to months). Understanding the underlying biological processes behind the brain tissue response to the devices at the cellular and molecular level leads to a variety of intervention strategies for improving signal sensitivity and longevity.

Indexed as

Brain ChemistryMicroelectrodesAnimalsBrainElectrophysiological PhenomenaHumansbiocompatibilitybiointegrationForeign body responseinflammationin vivotwo-photon

Identifiers

PMID25546652
PMCPMC4304489

What OpenQuestion holds

Textmetadata
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.