Evidence map›Paper›PMID 37806079›Full record

ArticleUltrasonics2024

Methodology of using acoustic emissions for enhancing rodent behavioral analysis.

P Shivashankar, N Nocera, S Livadiotis, S Mozaffar, M R Drew, S Salamone

Open access · greenAbstract read
In one paragraph

Article in Ultrasonics, 2024. 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
0.7field-weighted citation impact, top 37% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 1 institution in 1 country.

P ShivashankarCivil Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
N NoceraCenter for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA.
S LivadiotisCivil Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
S MozaffarCenter for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA.
M R DrewCenter for Learning and Memory, Department of Neuroscience, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: drew@mail.clm.utexas.edu.
S SalamoneCivil Architectural and Environmental Engineering, The University of Texas at Austin, Austin, TX 78712, USA. Electronic address: salamone@utexas.edu.
The University of Texas at Austin · US

Funding

Hippocampal Mechanisms of Fear ExtinctionR01MH117426 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI DREW, MICHAEL R · 2019 to 2023
$1.9M
Enhancing rodent behavioral phenotyping using guided ultrasonic wavesR21MH128610 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI DREW, MICHAEL R, SALAMONE, SALVATORE · 2022 to 2023
$421k
NIMH NIH HHS R01 MH117426NIMH NIH HHS R21 MH128610
6 · The paper itself

Abstract

Rodent models of behavior used in the fields of neuroscience and psychology generate a wealth of multimodal data. For instance, as a rodent moves and behaves in its environment, muscle contractions apply subtle forces to any surface the animal contacts. These forces generate acoustic waves that propagate through the waveguide as Lamb and shear horizontal (SH) waves and contain information about the rodent's physiology, behavior, and underlying psychological state. If the information in these waves were to be tapped, it would provide a novel, non-invasive way to study rodent behavior. This article lays the foundations for using guided ultrasonic waves generated by a mouse's movement on an aluminum plate for detecting behavior and drawing inferences about acoustic startle responses. The experimental setup involves piezoelectric sensors capturing the waves generated by the rodent's movement, which are then stored as discrete acoustic emission (AE) hits using an amplitude threshold-based data acquisition system. This method of data acquisition ensures that data collection occurs only when the animal moves or behaves, and each movement/behavior is represented by values of features within the generated wavepackets (AE hits). Through open field tests with C57BL/6J mice, utilizing piezoelectric sensors and the DAQ system, it was observed that every movement/behavior of the animal generated Lamb wavepackets within the frequency range of 20 kHz to 100 kHz. Furthermore, rearing behavior in the animals also led to the generation of SH wavepackets in the frequency range of 75 kHz to 230 kHz. This criterion was subsequently employed to detect rearing behavior. In the acoustic startle response test, where the animals' responses to intense sound pulse were recorded, AE hits' features proved useful in quantifying the response. These experimental findings validate the proposed technology's practicality and demonstrate its capability to enhance studies of rodent behavior.

Indexed as

Reflex, StartleRodentiaAcousticsAnimalsMiceMice, Inbred C57BLSoundAcoustic startle responseLamb wavesOpen field testRodent behaviorShear horizontal wavesUltrasonic guided waves

Identifiers

PMID37806079
PMCPMC10956639
OpenAlexW4387008213

What OpenQuestion holds

Textmetadata
LicenceTDM
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.