Evidence map›Paper›PMID 40657540›Full record

ArticleBio-protocol2025

Surgical Implantation of a Telemetry-Based Pressure Sensor in the Internal Jugular Vein to Monitor Respiration Wirelessly.

Neha Kushwaha, Debanjan Dasgupta

Abstract read
In one paragraph

Article in Bio-protocol, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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

2 authors.

Neha KushwahaNeural Circuit Dynamics Lab, Department of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India.
Debanjan DasguptaNeural Circuit Dynamics Lab, Department of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active sampling, such as respiration, is known to play a major role in modulating how sensory information is perceived and encoded in the field of olfaction. Hence, monitoring respiration is crucial for understanding olfactory-guided behavior and physiology. Several methods used to measure respiration, such as infrared cameras, piezoelectric sensors, video monitoring, temperature probes, intubation, and intranasal cannula, require the animal or at least its head to be fixed. However, telemetry-based sensors can be used wirelessly, allowing animals to move freely. Here, we describe the surgical protocol to implant a telemetry pressure sensor in the internal jugular vein to detect changes in thoracic pressure. The sensor can thus help in monitoring respiration by transmitting the signal wirelessly. We describe a way of inserting the probe into the right jugular vein aseptically while housing the transmitter underneath the skin on the back of the animal. Next, based on the optimal spot for the best signal, we secure the position of the probe and suture the skin. The animal then undergoes regular post-operative care with painkillers and soft diets for up to a week. The method offers two main advantages; first, it uses a strategy similar to the jugular vein catheterization, which is widely established in rodents. Second, it minimizes the need for extensive post-operative care, including not having to shift to a liquid diet post-recovery. This makes the animals fit for most behavioral experiments requiring water or food restrictions. Key features • Based on Dasgupta et al. [1], this protocol describes the surgical procedure involved in the aseptic implantation of the telemetry-based pressure sensor in the internal jugular vein. • Reduces the need for extensive post-operative care and eliminates dietary restrictions post-recovery. • The procedure helps in obtaining mice with an implanted sensor for wireless respiration recording.

Indexed as

Aseptic surgeryCatheterization of the internal jugular veinTelemetry-based pressure sensorThoracic cavityWireless respiration recording

Identifiers

PMID40657540
PMCPMC12254592

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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.