Evidence map›Paper›PMID 41645276›Full record

ArticleFluids and barriers of the CNS2026

The impact of human brain geometry on the transport of an intrathecal tracer.

Andreas Solheim, Geir Ringstad, Per Kristian Eide, Lars Magnus Valnes, Kent-Andre Mardal

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Article in Fluids and barriers of the CNS, 2026. 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Andreas SolheimDepartment of Numerical Analysis and Scientific Computing, Simula Research Laboratories, Kristian Augusts Gate 23, Oslo, 0164, Norway. solheim@simula.no.
Geir RingstadK.G. Jebsen Centre for Brain Fluid Research, University of Oslo, Pb 1072 Blindern, Oslo, 0316, Norway.
Per Kristian EideK.G. Jebsen Centre for Brain Fluid Research, University of Oslo, Pb 1072 Blindern, Oslo, 0316, Norway.
Lars Magnus ValnesDepartment of Mathematics, University of Oslo, Moltke Moes vei 35, Oslo, 0851, Norway.
Kent-Andre MardalDepartment of Numerical Analysis and Scientific Computing, Simula Research Laboratories, Kristian Augusts Gate 23, Oslo, 0164, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntrathecal contrast-enhanced magnetic resonance imaging (MRI), utilizing the contrast agent gadobutrol as cerebrospinal fluid (CSF) tracer is emerging as a useful method to study glymphatic function in the human brain. A consistent finding with this technique is large inter-individual variability regarding tracer propagation. In this study, we outline an approach which predicts the distribution of tracer in the parenchyma based only on geometric information from brain tissue as captured by MRI, addressing one possible explanation for this variability.

methodsRegistrations are computed from pre-injection MRI, and used to map images at [Formula: see text] hours after tracer injection to perform predictions of tracer enrichment in the parenchyma in other patients. We apply the method to a dataset of human brain MRI of [Formula: see text] patients examined for different tentative diagnoses including idiopathic normal pressure hydrocephalus, spontaneous intracranial hypotension and idiopathic intracranial hypertension, as well as a group of reference patients.

resultsTracer enrichment mapped between patients by image registration correlate strongly with actual observed enrichment. For patients in the reference group, the relative root mean squared error on our predictions is on average [Formula: see text] in the gray matter, and [Formula: see text] or less in other brain regions. Predictions are generally less reliable in the gray matter, and for patients with identified CSF leaks.

conclusionWe show that predictions made from purely geometrical considerations correlate strongly with actual MRI tracer enrichment for patients with similar diagnoses, thus quantifying the role of geometry in tracer enrichment.

Indexed as

BrainContrast MediaGlymphatic SystemHydrocephalus, Normal PressureIntracranial HypotensionMagnetic Resonance ImagingOrganometallic CompoundsFemaleHumansInjections, SpinalPseudotumor CerebriContrast MediagadobutrolOrganometallic CompoundsGlymphatic functionGlymphatic MRIIdiopathic intracranial hypertensionIdiopathic normal pressure hydrocephalusImage registrationSpontaneous intracranial hypotension

Identifiers

PMID41645276
PMCPMC12896253

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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.