Evidence map›Paper›PMID 41523107›Full record

ArticleBio-protocol2026

Simultaneous Non-Invasive Electrocardiogram and Respiration Rate Recordings in Head-Fixed Awake Mice.

Hashmat Ghanizada, Ryszard Stefan Gomolka, Maiken Nedergaard

Abstract read
In one paragraph

Article in Bio-protocol, 2026. 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

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

3 authors.

Hashmat GhanizadaCenter for Translational Neuromedicine, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Ryszard Stefan GomolkaCenter for Translational Neuromedicine, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.
Maiken NedergaardCenter for Translational Neuromedicine, University of Copenhagen, Blegdamsvej, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autonomic regulation of heart and respiratory rates is essential for understanding brain-body interactions in health and disease. Preclinical cardiovascular recordings are often performed under anesthesia or via telemetry, both of which introduce physiological confounds such as stress or impaired recovery due to the need for acute or chronic implantation of sensors. Here, we present a minimally invasive protocol for simultaneous acquisition of high-quality electrocardiography and respiratory signals in awake mice. Using an in-house-modified physiological monitor in awake, head-fixed mice that were briefly habituated to experimental conditions, we ultimately enable stable, long-term physiological recordings alongside in vivo microscopy. This protocol provides a robust, low-stress method for acquiring physiological signals, enabling the simultaneous study of cardiovascular-cerebral dynamics in awake head-fixed mice, thereby enhancing the translational relevance of preclinical measurements. Key features • Minimally invasive electrocardiogram and respiration rate acquisition in awake, head-fixed mice suitable for long-term physiological recordings. • Custom-built setup integrates physiological monitoring with in vivo imaging without surgical implantation or telemetry. • Rapid habituation protocol ensures low-stress conditions and high-quality signal acquisition in conscious mice. • Enables correlation of cardiovascular dynamics with brain activity and cerebrospinal fluid flow in translational neuroscience studies.

Indexed as

Awake imagingCardiovascular dynamicsElectrocardiogramElectrophysiologyHeart rateNon-invasivePhysiological monitoringRespiratory rate

Identifiers

PMID41523107
PMCPMC12782852

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Registered trials

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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.