Evidence map›Paper›PMID 40648297›Full record

ArticleSensors (Basel, Switzerland)2025

A Novel Approach to Non-Invasive Intracranial Pressure Wave Monitoring: A Pilot Healthy Brain Study.

Andrius Karaliunas, Laimonas Bartusis, Solventa Krakauskaite, Edvinas Chaleckas, Mantas Deimantavicius, Yasin Hamarat, Vytautas Petkus, Toma Stulge, Vytenis Ratkunas, Guven Celikkaya and 2 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Observational
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

12 authors.

Andrius KaraliunasHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.
Laimonas BartusisHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.
Solventa KrakauskaiteHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.
Edvinas ChaleckasHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.
Mantas DeimantaviciusHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.
Yasin HamaratHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.
Vytautas PetkusHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.ORCID 0000-0002-8964-0738
Toma StulgeHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.
Vytenis RatkunasHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.
Guven CelikkayaVisual Communication Design, Faculty of Art, Design and Architecture, Isik University, TR-34980 Istanbul, Türkiye.
Ingrida JanulevicieneEye Clinic, Lithuanian University of Health Sciences, LT-50161 Kaunas, Lithuania.ORCID 0000-0002-2660-7922
Arminas RagauskasHealth Telematics Science Institute, Kaunas University of Technology, LT-51423 Kaunas, Lithuania.

Funding

Lietuvos Mokslo Taryba SV5-40 (S-MIP-23-136) and S-MIP-23-68
6 · The paper itself

Abstract

Intracranial pressure (ICP) pulse wave morphology, including the ratios of the three characteristic peaks (P1, P2, and P3), offers valuable insights into intracranial dynamics and brain compliance. Traditional invasive methods for ICP pulse wave monitoring pose significant risks, highlighting the need for non-invasive alternatives. This pilot study investigates a novel non-invasive method for monitoring ICP pulse waves through closed eyelids, using a specially designed, liquid-filled, fully passive sensor system named 'Archimedes 02'. To our knowledge, this is the first technological approach that enables the non-invasive monitoring of ICP pulse waveforms via closed eyelids. This study involved 10 healthy volunteers, aged 26-39 years, who underwent resting-state non-invasive ICP pulse wave monitoring sessions using the 'Archimedes 02' device while in the supine position. The recorded signals were processed to extract pulse waves and evaluate their morphological characteristics. The results indicated successful detection of pressure pulse waves, showing the expected three peaks (P1, P2, and P3) in all subjects. The calculated P2/P1 ratios were 0.762 (SD = ±0.229) for the left eye and 0.808 (SD = ±0.310) for the right eye, suggesting normal intracranial compliance across the cohort, despite variations observed in some individuals. Physiological tests-the Valsalva maneuver and the Queckenstedt test, both performed in the supine position-induced statistically significant increases in the P2/P1 and P3/P1 ratios, supporting the notion that non-invasively recorded pressure pulse waves, measured through closed eyelids, reflect intracranial volume and pressure dynamics. Additionally, a transient hypoemic/hyperemic response test performed in the upright position induced signal changes in pressure recordings from the 'Archimedes 02' sensor that were consistent with intact cerebral blood flow autoregulation, aligning with established physiological principles. These findings indicate that ICP pulse waves and their dynamic changes can be monitored non-invasively through closed eyelids, offering a potential method for brain monitoring in patients for whom invasive procedures are not feasible.

Indexed as

BrainIntracranial PressurePulse Wave AnalysisAdultFemaleHealthy VolunteersHumansMaleMonitoring, PhysiologicPilot Projectshealthy volunteer studyintracranial complianceintracranial pressure wavesnon-invasive monitoringpulse wave morphology

Identifiers

PMID40648297
PMCPMC12252149

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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.