Evidence map›Paper›PMID 36838175›Full record

ArticleMicromachines2023

Fabrication and Assembly Techniques for Sub-mm Battery-Free Epicortical Implants.

Adam Khalifa, Mehdi Nasrollahpour, Ali Nezaratizadeh, Xiao Sha, Milutin Stanaćević, Nian X Sun, Sydney S Cash

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 4 institutions in 1 country.

Adam KhalifaDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-2956-5596
Mehdi NasrollahpourDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.ORCID 0000-0003-0420-7423
Ali NezaratizadehDepartment of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA.ORCID 0000-0002-1105-5483
Xiao ShaDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
Milutin StanaćevićDepartment of Electrical and Computer Engineering, Stony Brook University, Stony Brook, NY 11794, USA.
Nian X SunDepartment of Electrical and Computer Engineering, Northeastern University, Boston, MA 02115, USA.
Sydney S CashDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.
Northeastern University · USStony Brook University · USUniversity of Florida · USHarvard University · US

Funding

Novel Implantable Smart Magnetoelectric NanoRFIDs for Large-Scale Neural Magnetic Recording and ModulationUF1NS107694 · NINDS · NORTHEASTERN UNIVERSITY · PI CASH, SYDNEY S, SUN, NIAN XIANG · 2018 to 2018
$1.8M
National Institute of Health UF1NS107694NINDS NIH HHS UF1 NS107694
6 · The paper itself

Abstract

Over the past three decades, we have seen significant advances in the field of wireless implantable medical devices (IMDs) that can interact with the nervous system. To further improve the stability, safety, and distribution of these interfaces, a new class of implantable devices is being developed: single-channel, sub-mm scale, and wireless microelectronic devices. In this research, we describe a new and simple technique for fabricating and assembling a sub-mm, wirelessly powered stimulating implant. The implant consists of an ASIC measuring 900 × 450 × 80 µm

Indexed as

distributedneural stimulationwireless power transmission

Identifiers

PMID36838175
PMCPMC9966084
OpenAlexW4321373290

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.