Evidence map›Paper›PMID 37214802›Full record

ArticleResearch square2023

Microscale acoustic metamaterials as conformal sonotransparent skull prostheses.

Gunho Kim, Claire Rabut, Bill Ling, Mikhail Shapiro, Chiara Daraio

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Gunho KimCalifornia Institute of Technology.
Claire RabutCalifornia Institute of Technology.
Bill LingCalifornia Institute of Technology.
Mikhail ShapiroCalifornia Institute of Technology.ORCID 0000-0002-0291-4215
Chiara DaraioCalifornia Institute of Technology.ORCID 0000-0001-5296-4440
California Institute of Technology · US

Funding

PREDOCTORAL TRAINING IN BIOLOGY AND CHEMISTRYT32GM007616 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI STERNBERG, PAUL WARREN · 1985 to 2019
$22.9M
Biogenic Gas Nanostructures As Molecular Imaging Reporters For UltrasoundR01EB018975 · NIBIB · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI Mikhail Shapiro · 2014 to 2026
$5.9M
Minimally Invasive Ultrasonic Brain-Machine InterfaceR01NS123663 · NINDS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ANDERSEN, RICHARD A, SHAPIRO, MIKHAIL · 2021 to 2021
$3.3M
NIBIB NIH HHS R01 EB018975NIGMS NIH HHS T32 GM007616NINDS NIH HHS R01 NS123663
6 · The paper itself

Abstract

Functional ultrasound imaging enables sensitive, high-resolution imaging of neural activity in freely behaving animals and human patients. However, the skull acts as an aberrating and absorbing layer for sound waves, leading to most functional ultrasound experiments being conducted after skull removal. In pre-clinical settings, craniotomies are often covered with a polymethylpentene film, which offers limited longitudinal imaging, due to the film's poor conformability, and limited mechanical protection, due to the film's low stiffness. Here, we introduce a skull replacement consisting of a microstructured, conformal acoustic window based on mechanical metamaterials, designed to offer high stiffness-to-density ratio and sonotransparency. We test the acoustic window in vivo, via terminal and survival experiments on small animals. Long-term biocompatibility and lasting signal sensitivity are demonstrated over a long period of time (> 4 months) by conducting ultrasound imaging in mouse models implanted with the metamaterial skull prosthesis.

Identifiers

PMID37214802
PMCPMC10197820
OpenAlexW4376140748

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.