Evidence map›Paper›PMID 38468044›Full record

ArticleAdvances in neurobiology2024

Fractals and Chaos in the Hemodynamics of Intracranial Aneurysms.

Gábor Závodszky, Dániel Gyürki, György Károlyi, István Szikora, György Paál

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In one paragraph

Article in Advances in neurobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
5.1field-weighted citation impact, top 7% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Computational Fractal-Based Neurosurgery.Advances in experimental medicine and biology · 2024
    Review
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

5 authors at 3 institutions in 2 countries.

Gábor ZávodszkyUniversity of Amsterdam, Informatics Institute, Computational Science Lab, Amsterdam, Netherlands. g.zavodszky@uva.nl.
Dániel GyürkiUniversity of Amsterdam, Informatics Institute, Computational Science Lab, Amsterdam, Netherlands.
György KárolyiInstitute of Nuclear Techniques, Budapest University of Technology and Economics, Budapest, Hungary.
István SzikoraDepartment of Neurointerventions, National Institute of Clinical Neurosciences, Budapest, Hungary.
György PaálUniversity of Amsterdam, Informatics Institute, Computational Science Lab, Amsterdam, Netherlands. gypaal@hds.bme.hu.
University of Amsterdam · NLBudapest University of Technology and Economics · HUOrszágos Idegsebészeti Tudományos Intézet · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computing the emerging flow in blood vessel sections by means of computational fluid dynamics is an often applied practice in hemodynamics research. One particular area for such investigations is related to the cerebral aneurysms, since their formation, pathogenesis, and the risk of a potential rupture may be flow-related. We present a study on the behavior of small advected particles in cerebral vessel sections in the presence of aneurysmal malformations. These malformations cause strong flow disturbances driving the system toward chaotic behavior. Within these flows, the particle trajectories can form a fractal structure, the properties of which are measurable by quantitative techniques. The measurable quantities are well established chaotic properties, such as the Lyapunov exponent, escape rate, and information dimension. Based on these findings, we propose that chaotic flow within blood vessels in the vicinity of the aneurysm might be relevant for the pathogenesis and development of this malformation.

Indexed as

FractalsIntracranial AneurysmHemodynamicsHumansNonlinear DynamicsCerebral aneurysmChaotic advectionComputational fluid dynamicsFractalsInformation dimensionPassive tracers

Identifiers

PMID38468044
OpenAlexW4392720142

What OpenQuestion holds

Textmetadata
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.