Evidence map›Paper›PMID 36711824›Full record

ArticlebioRxiv : the preprint server for biology2023

Wireless

Suyash Bhatt, Emily Masterson, Tianxiang Zhu, Jenna Eizadi, Judy George, Nesya Graupe, Adam Vareberg, Jack Phillips, Ilhan Bok, Matthew Dwyer and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Suyash BhattDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Emily MastersonDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Tianxiang ZhuDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Jenna EizadiDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Judy GeorgeDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Nesya GraupeDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Adam VarebergDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Jack PhillipsDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Ilhan BokDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Matthew DwyerDepartment of Electrical & Computer Engineering, University of Wisconsin-Madison.
Alireza AshtianiDepartment of Biomedical Engineering, University of Wisconsin-Madison.
Aviad HaiDepartment of Biomedical Engineering, University of Wisconsin-Madison.

Funding

Achieving Direct Functional Imaging of Brain Electrophysiology: Nanofabricated Cell-sized Electronic Sensors for Magnetic Resonance ImagingDP2NS122605 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI HAI, AVIAD · 2020 to 2020
$2.3M
Wireless Sensors for Functional MRI of Brain SeizuresK01EB027184 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI HAI, AVIAD · 2019 to 2020
$346k
NIBIB NIH HHS K01 EB027184NINDS NIH HHS DP2 NS122605
6 · The paper itself

Abstract

Wireless brain technologies are empowering basic neuroscience and clinical neurology by offering new platforms that minimize invasiveness and refine possibilities during electrophysiological recording and stimulation. Despite their advantages, most systems require on-board power supply and sizeable transmission circuitry, enforcing a lower bound for miniaturization. Designing new minimalistic architectures that can efficiently sense neurophysiological events will open the door to standalone microscale sensors and minimally invasive delivery of multiple sensors. Here we present a circuit for sensing ionic fluctuations in the brain by an ion-sensitive field effect transistor that detunes a single radiofrequency resonator in parallel. We establish sensitivity of the sensor by electromagnetic analysis and quantify response to ionic fluctuations

Identifiers

PMID36711824
PMCPMC9882301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.