Evidence map›Paper›PMID 40999191›Full record

ArticleFrontiers of optoelectronics2025

Advancing intraoperative cerebral blood flow monitoring: integrating imaging photoplethysmography and laser speckle contrast imaging in neurosurgery.

Alexei A Kamshilin, Anton N Konovalov, Fyodor V Grebenev, Igor O Kozlov, Dmitry D Stavtsev, Gennadii A Piavchenko, Ervin Nippolainen, Valeriy V Zaytsev, Alexey Y Sokolov, Dmitry V Telyshev and 3 more

Abstract read
In one paragraph

Article in Frontiers of optoelectronics, 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. Article
  2. 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

13 authors.

Alexei A KamshilinInstitute of Automation and Control Processes, Far East Branch of the Russian Academy of Sciences, Vladivostok, 690041, Russian Federation. alexei.kamshilin@yandex.ru.ORCID http://orcid.org/0000-0003-2506-9736
Anton N KonovalovN. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, 125047, Russian Federation.ORCID http://orcid.org/0000-0002-0932-4752
Fyodor V GrebenevN. N. Burdenko National Medical Research Center of Neurosurgery, Moscow, 125047, Russian Federation.ORCID http://orcid.org/0000-0003-2622-7804
Igor O KozlovI. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.ORCID http://orcid.org/0000-0002-4625-9267
Dmitry D StavtsevI. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.ORCID http://orcid.org/0000-0003-3831-7348
Gennadii A PiavchenkoI. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.ORCID http://orcid.org/0000-0001-7782-3468
Ervin NippolainenInstitute of Automation and Control Processes, Far East Branch of the Russian Academy of Sciences, Vladivostok, 690041, Russian Federation.
Valeriy V ZaytsevInstitute of Automation and Control Processes, Far East Branch of the Russian Academy of Sciences, Vladivostok, 690041, Russian Federation.ORCID http://orcid.org/0000-0003-3366-8376
Alexey Y SokolovI. P. Pavlov Institute of Physiology, Russian Academy of Sciences, St. Petersburg, 199034, Russian Federation.ORCID http://orcid.org/0000-0002-6141-486X
Dmitry V TelyshevI. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.ORCID http://orcid.org/0000-0002-4221-9882
Sergei L KuznetsovI. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.ORCID http://orcid.org/0000-0002-0704-1660
Roman V RomashkoInstitute of Automation and Control Processes, Far East Branch of the Russian Academy of Sciences, Vladivostok, 690041, Russian Federation.ORCID http://orcid.org/0000-0003-0869-0993
Igor V MeglinskiI. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.ORCID http://orcid.org/0000-0002-7613-8191

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraoperative assessment of cerebral hemodynamics is crucial for the success of neurosurgical interventions. This study evaluates the potential of laser speckle contrast imaging (LSCI) and imaging photoplethysmography (IPPG) for contactless perfusion monitoring during neurosurgery. Despite similarities in their hardware requirements, these techniques rely on fundamentally different principles: light scattering for LSCI and light absorption for IPPG. Comparative experiments were conducted using animals (rats) when assessing the reaction of cerebral hemodynamics to adenosine triphosphate infusion. The results show different spatial and temporal characteristics of the techniques: LSCI predominantly visualizes blood flow in large venous vessels, especially in the sagittal and transverse sinuses, showing a pronounced modulation associated with the heart that cannot be explained by venous blood flow alone. In contrast, IPPG quantifies the dynamics of perfusion changes in the parenchyma, showing minimal signal in large venous vessels. We propose that LSCI signal modulation is significantly influenced by the movement of vessel walls in response to mechanical pressure waves propagating through the parenchyma from nearby arteries. A novel algorithm for LSCI data processing was developed based on this interpretation, producing perfusion indices that align well with IPPG measurements. This study demonstrates that the complementary nature of these techniques (LSCI is sensitive to blood cells displacements, while IPPG detects a change in their density) makes their combined application particularly valuable for comprehensive assessment of cerebral hemodynamics during neurosurgery.

Indexed as

Blood flow visualizationCerebral perfusion monitoringImaging photoplethysmographyLaser speckle contrast imagingNeurosurgery

Identifiers

PMID40999191
PMCPMC12463816

What Socratic 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 Socratic graph.